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DOI 101212WNL0b013e318296e98b2013802186-2193 Published Online before print May 10 2013Neurology
James F Sumowski Maria A Rocca Victoria M Leavitt et al youve got and how you use it
Brain reserve and cognitive reserve in multiple sclerosis What
This information is current as of May 10 2013
httpwwwneurologyorgcontent80242186fullhtmllocated on the World Wide Web at
The online version of this article along with updated information and services is
Neurology All rights reserved Print ISSN 0028-3878 Online ISSN 1526-632Xsince 1951 it is now a weekly with 48 issues per year Copyright copy 2013 American Academy of
reg is the official journal of the American Academy of Neurology Published continuouslyNeurology
James F Sumowski PhDMaria A Rocca MDVictoria M Leavitt PhDGianna Riccitelli PhDGiancarlo Comi MDJohn DeLuca PhDMassimo Filippi MD
Correspondence toDr Sumowskijsumowskikesslerfoundationorg
Brain reserve and cognitive reserve inmultiple sclerosisWhat yoursquove got and how you use it
ABSTRACT
ObjectiveWe first tested the brain reserve (BR) hypothesis in multiple sclerosis (MS) by examiningwhether larger maximal lifetime brain volume (MLBV determined by genetics) protects againstdisease-related cognitive impairment and then investigated whether cognitive reserve (CR)gained through life experience (intellectually enriching leisure activities) protects against cogni-tive decline independently of MLBV (BR)
Methods Sixty-two patients with MS (41 relapsing-remitting MS 21 secondary progressive MS)received MRIs to estimate BR (MLBV estimated with intracranial volume [ICV]) and disease burden(T2 lesion load atrophy of gray matter white matter thalamus and hippocampus) Early-life cog-nitive leisurewasmeasured as a source of CRWe assessed cognitive statuswith tasks of cognitiveefficiency and memory Hierarchical regressions were used to investigate whether higher BR (ICV)protects against cognitive impairment and whether higher CR (leisure) independently protectsagainst cognitive impairment over and above BR
Results Cognitive status was positively associated with ICV (R2 5 0066 p 5 0017) An ICV 3
disease burden interaction (R2 5 0050 p 5 0030) revealed that larger ICV attenuated theimpact of disease burden on cognition Controlling for BR higher education (R2 5 0047 p 5
0030) and leisure (R2 5 0090 p 5 0001) predicted better cognition A leisure 3 diseaseburden interaction (R2 5 0037 p 5 0030) showed that leisure independently attenuated theimpact of disease burden on cognition Follow-up analyses revealed that BR protected againstcognitive inefficiency not memory deficits whereas CR was more protective against memorydeficits than cognitive inefficiency
ConclusionWeprovide evidence of BR inMS and show that CR independently protects against dis-ease-related cognitive decline over and above BR Lifestyle choices protect against cognitive impair-ment independently of genetic factors outside of onersquos control Neurology 2013802186ndash2193
GLOSSARYAD5 Alzheimer disease BR5 brain reserve CR5 cognitive reserve GM5 gray matter ICV5 intracranial volumeMLBV5maximal lifetime brain volume MS 5 multiple sclerosis WM 5 white matter
Many persons with multiple sclerosis (MS) have cognitive impairment whereas others withstandconsiderable disease burden without cognitive decline12 A similar cognitive-pathologic dissocia-tion in Alzheimer disease (AD)3 prompted theories of ldquobrain reserverdquo4 and ldquocognitive reserverdquo5
The brain reserve hypothesis posits that larger maximal lifetime brain volume (MLBV) (estimatedwith head size or intracranial volume [ICV]) protects against cognitive decline4 That is cognitiveimpairment emerges when brain volume falls beneath a critical threshold persons with largerMLBV withstand greater disease burden before reaching this threshold Indeed elders withlarger MLBV have better cognition6ndash10 and lower risk of dementia1112 Herein we investigatewhether MLBV (brain reserve) protects patients with MS from cognitive impairment
Brain reserve (MLBV) is determined almost entirely by genetics1314 In contrast the cognitivereserve hypothesis posits that enriching experiences (eg education cognitive leisure) protect
From Neuropsychology and Neuroscience (JFS VML JD) Kessler Foundation Research Center West Orange Departments of PhysicalMedicine and Rehabilitation (JFS VML JD) and Neurology and Neurosciences (JD) UMDNJndashNew Jersey Medical School Newark NJand Neuroimaging Research Unit (MAR GR MF) and Department of Neurology (MAR GC MF) San Raffaele Scientific InstituteVita-Salute San Raffaele University Milan Italy
Go to Neurologyorg for full disclosures Funding information and disclosures deemed relevant by the authors if any are provided at the end of the article
2186 copy 2013 American Academy of Neurology
against dementia5 Indeed educational attain-ment attenuates the effect of AD neuropathol-ogy on cognition1516 We have extended thecognitive reserve hypothesis toMS17ndash20 showingthat lifetime intellectual enrichment attenuatesthe effect of disease burden on cognition1719
Importantly brain reserve and cognitive reservehave been investigated separately so it remainsunclear whether enriching life experiences pro-tect against cognitive decline independently ofgenetically determined MLBV Given the mod-erate but robust correlation between brainreserve and cognitive reserve (brain size andintelligence21) it is unknown whether theprotective effect of enriching experiences isexplained through concomitantly higher brainreserve Herein we investigate whether early-lifecognitive leisure (source of cognitive reserve)independently protects against cognitive impair-ment over and above MLBV (brain reserve) inpatients with MS
METHODS Subject enrollment Subjects were 62 patients
with definite MS22 (30 women) without an exacerbation in the
last 4 weeks no current corticosteroid use and no history of
serious psychiatric illness substance abuse learning disability
or other neurologic condition Mean age was 437 6 111 years
with 131 6 34 years of education Given that a) patients retro-
spectively reported cognitive leisure from their early 20s and b)
we wanted formal education completed before participation all
patients were at least 25 years old Mean disease duration was
132 6 69 years with a mean Expanded Disability Status Scale
score of 32 6 21 MS phenotypes included relapsing-remitting
(n 5 41) and secondary progressive (n 5 21) Current disease-
modifying drug treatments included interferon b-1a (n 5 26) or
interferon b-1b (n5 4) glatiramer acetate (n5 19) azathioprine
(n 5 3) cyclophosphamide (n 5 2) natalizumab (n 5 2)
mitoxantrone (n 5 1) or no treatment (n 5 5)
Standard protocol approvals registrations and patientconsents Approval was received from the local ethical standards
committee on human experimentation and written informed
consent was obtained from all subjects participating in the study
Cognitive functioning Cognitive inefficiency and memory
problems are the most prevalent cognitive deficits among patients
with MS1 Cognitive efficiency was measured with the Symbol
Digit Modalities Test (oral version) and the Paced Auditory Serial
Addition Task (3-second version) Norm-referenced z scores werecalculated for both tasks23 and the mean of these z scores com-
prised our cognitive efficiency composite Memory was assessed
with the Selective Reminding Test and Spatial Recall Test
Norm-referenced z scores were calculated for the Selective Re-
minding Test (Total Learning Delayed Recall) and Spatial Recall
Test (Total Learning Delayed Recall)23 and the mean of these zscores comprised our memory composite A norm-referenced
overall cognitive status score was derived as the mean of cognitiveefficiency and memory composites Analyses first investigated the
impact of brain reserve and cognitive reserve on overall cognitivestatus and then separately for cognitive efficiency and memory
Lesion load and brain atrophy Using a 30-tesla Philips Interascanner (Philips Healthcare Guildford UK) the following brain
sequences were acquired a) dual-echo turbo spin echo (repetition
timeecho time 5 350024ndash120 milliseconds fractional anisot-
ropy5 150deg field of view5 240mm2 matrix5 2563 256 echo
train length 5 5 44 contiguous 3-mm-thick axial slices) and b)
3-dimensional T1-weighted fast field echo (repetition time 5
25 milliseconds echo time 5 46 milliseconds fractional anisot-
ropy 5 30deg field of view 5 230 mm2 matrix 5 256 3 256
slice thickness 5 1 mm 220 contiguous axial slices in-plane res-
olution 5 089 3 089 mm2) T2 lesion load was measured on
dual-echo scans using a local thresholding segmentation technique
(Jim 50 Xinapse System wwwxinapsecom) Brain atrophy
was measured as normalized volumes of gray matter (GM) and
white matter (WM) obtained using SIENAX (version 26 part
of FSL 41) whereas normalized volumes of the thalamus and
hippocampus were obtained using FIRST then applying the
same scaling factor calculated with SIENAX To correct for the
misclassification of WM lesions all pixels classified as GM but
lying neither in the cortical GM nor in the subcortical GM were
reassigned to the WM before volume calculation The scaling
factor within SIENAX is derived from the transformation that
matches the extracted brain and skull to standard-space brain and
skull images (derived from the MNI152 standard image) values
higher than one were obtained for heads with small ICV and values
lower than one for ICVs larger than theMNI atlas An advantage of
this approach is that it does not require that CSF be robustly
estimated as it is difficult to distinguish between CSF and skull
voxels in T images Lesion load and brain atrophy were used as
estimates of MS disease burden in subsequent analyses
Estimate of brain reserve ICV ICV is an estimate of MLBV
as brain growth corresponds to increased ICV during develop-
ment24 and ICV is strongly correlated with brain size in healthy
persons (eg r 5 08625) ICV has been used as an estimate of
brain reserve in previous research (eg references 6 and 9) The
aforementioned scaling factor within SIENAX is a measurement
of ICV however we reversed the direction of values such that
larger values represent larger ICVs (for ease of presentation)
Given that men have larger ICVs than women as in our sample
(t[60] 5 562 p 0001) we adjusted ICV measurements for
sex The brain reserve hypothesis states that persons with higher
brain reserve withstand more severe disease burden before expe-
riencing cognitive decline not that higher brain reserve slows
disease progression As expected therefore there was no relation-
ship between ICV and disease duration (r52002 p5 088) or
T2 lesion load (r 5 008 p 5 055) nor was there a difference
between disease phenotypes (t[60] 5 081 p 5 041)
Estimate of cognitive reserve Cognitive leisure activityAs described previously20 patients were surveyed to quantify par-
ticipation in 7 cognitive leisure activities during their early 20s
(table 1) Frequency of participation in each activity was endorsed
as 1) once or less per year 2) several times per year 3) several
times per month 4) several times per week or 5) daily Total
frequency across items was our estimate of early-life cognitive
leisure (mean 5 188 6 57) This score was interpolated for
patients missing 1 (n 5 3) or 2 (n 5 4) items There was no
difference in leisure frequency between our sample and a larger
independent matched pilot sample of 124 patients with MS aged
25 years or older (table 1) indicating that early-life cognitive
leisure within our sample was representative of MS patients gen-
erally We have previously shown no difference between item
endorsement between patients with MS and healthy persons
indicating that cognitive leisure was unaffected by preclinical
Neurology 80 June 11 2013 2187
disease20 The cognitive reserve hypothesis states that lifetime
enrichment helps patients better withstand disease without cog-
nitive impairment not that enriching lifestyles slow disease pro-
gression As expected therefore there was no relationship
between cognitive leisure and disease duration (r 5 014 p 5
028) or T2 lesion load (r 5 2006 p 5 067) nor was there a
difference between disease phenotypes (t[60] 5 061 p 5 055)
Statistical analyses Brain reserveWe performed a hierarchical
regression to investigate the protective effect of brain reserve on
overall cognitive status After controlling for age sex and pheno-
type (block 1) estimates of disease burden (T2 lesion load brain
atrophy normalized volumes of cerebral GM cerebral WM thal-
amus and hippocampus) were entered in a stepwise fashion (block
2) ICV was entered within block 3 to test whether MLBV predicts
cognitive status (Stepwise entry of disease burden estimates within
block 2 allowed us to assess the contribution of brain reserve over
and above the estimate of disease burden most associated with cog-
nitive status) Finally the interaction between ICV and disease bur-
den (estimate retained within block 2) was evaluated in block 4 If
brain reserve protects against cognitive decline there should be an
interaction between ICV and disease burden such that greater ICV
moderatesattenuates the deleterious impact of disease burden on
cognitive status This hierarchical regression was repeated to predict
cognitive efficiency and memory separately
Cognitive reserve We then investigated whether cognitive
reserve independently protects against disease-related cognitive
decline even after controlling for brain reserve A hierarchical
regression was again performed to predict overall cognitive status
After controlling for the previous brain reserve analysis (block 1)
education (block 2) and early-life cognitive leisure (block 3) were
entered followed by the interaction between disease burden and
cognitive leisure (block 4) If cognitive reserve independently pro-
tects against disease-related cognitive decline there will be an
interaction whereby greater cognitive leisure moderatesattenu-
ates the deleterious impact of disease burden on cognitive status
This hierarchical regression was repeated to predict cognitive effi-
ciency and memory separately
RESULTS Brain reserve The results for brain reserveanalyses are presented in table 2
Overall cognitive status After controlling for age sexand phenotype (block 1) T2 lesion load (the onlyestimate of disease burden retained) was negativelyassociated with cognitive status (block 2) There wasa medium-sized positive relationship between ICVand cognitive status (block 3) such that patients withlarger ICVs had better cognitive status (figure 1A)
Table 1 Means and SDs for the current sample and matched pilot sample on each of the 7 cognitive leisureactivities as well as the total cognitive leisure scorea
Cognitive leisure activitiesPilot sample (n 5 124)b
mean 6 SDSample (n 5 62)mean 6 SD
Differencep values
Read books 31 6 14 32 6 15 080
Read magazines or newspapers 39 6 12 38 6 14 062
Produce art (eg painting poetrysculpture song writing ballet)
25 6 13 22 6 13 024
Produce nonartistic writing (eg diarynewsletter essay blog)
23 6 13 23 6 15 080
Play a musical instrument 21 6 14 20 6 15 054
Play structured games (eg cardsboard games crossword puzzles)
28 6 12 27 6 11 067
Participate in hobbies (eg gardeningmodel building Web design)
25 6 14 26 6 13 059
Total cognitive leisure activity 190 6 48 187 6 56 071
aThere were no differences between the current sample and the larger pilot sample on any itemsb The pilot sample did not differ in age (420 6 103 years p 5 029) disease duration (132 6 84 years p 5 097)education (136 6 32 years p 5 036) or Expanded Disability Status Scale score (31 6 19 p 5 070) There was amarginally higher proportion of women (605 p 5 0076) and patients with relapsing-remitting multiple sclerosis(782 p 5 0076) within the pilot sample
Table 2 Results for the hierarchical regression analyses investigating the protective effect of brain reserve(ICV) on overall cognitive status cognitive efficiency and memory
Overall cognitive status Cognitive efficiency Memory
ΔR2 p Value ΔR2 p Value ΔR2 p Value
Age sex phenotype 0236 0001 0203 0004 0180 0009
T2LL 0089 0008 0040 0090 0119 0003
ICV 0066 0017 0100 0005 0012 0335
T2LL 3 ICV 0050 0030 0087 0005 0005 0528
Abbreviations ICV 5 intracranial volume T2LL 5 T2 lesion load
2188 Neurology 80 June 11 2013
The interaction between ICV and disease burden (T2lesion load) was also significant (block 4) such thatgreater ICV moderatedattenuated the negativeimpact of disease burden (T2 lesion load) on cogni-tive status (figure 1B)
Cognitive efficiency and memory There was a largepositive relationship between ICV and cognitive effi-ciency (block 3) such that patients with larger ICVsshowed better cognitive efficiency There was also aninteraction whereby greater ICV moderatedattenu-ated the negative impact of T2 lesion load on cogni-tive efficiency In contrast there was no relationshipbetween ICV and memory (block 3) nor was theinteraction significant (block 4) Brain reserve pro-tected against disease-related cognitive inefficiencynot memory problems
Cognitive reserve The results of cognitive reserve anal-yses are presented in table 3
Overall cognitive status After accounting for thebrain reserve analysis (block 1 age sex phenotypeT2 lesion load ICV ICV 3 T2 lesion load) therewas a positive relationship between cognitive statusand education (block 2) There was also a large inde-pendent positive relationship between cognitive lei-sure and cognitive status (block 3) such that patientswho engaged in more early-life cognitive leisure hadbetter cognitive status (figure 2A) The interactionbetween T2 lesion load and cognitive leisure was sig-nificant (block 4) with greater cognitive leisure mod-eratingattenuating the negative impact of T2 lesionload on cognitive status (figure 2B)
Cognitive efficiency and memory Cognitive efficiencywas unrelated to education (block 2) but positivelyrelated to cognitive leisure (block 3) The interactionbetween T2 lesion load and cognitive leisure on cog-nitive efficiency was small and nonsignificant (block4) Memory was strongly and positively related toboth education (block 2) and cognitive leisure (block3) and there was a significant small- to medium-sizedinteraction between T2 lesion load and cognitive lei-sure (block 4) such that greater cognitive leisure mod-eratedattenuated the negative impact of T2 lesionload on memory In summary cognitive leisure inde-pendently contributed to both cognitive efficiencyand memory over and above brain reserve but theinteraction between cognitive leisure and disease bur-den was only significant for memory The cognitive
Figure 1 Brain reserve protects against disease-related cognitive decline
Graphical depiction of (A) the positive correlation between intracranial volume (ICV) (brain reserve)and overall cognitive status and (B) the interaction between ICV and T2 lesion load (T2LL)whereby larger ICV moderates the negative impact of T2LL on cognitive status
Table 3 Results for the hierarchical regression analyses investigating the independent protective effect ofcognitive reserve (leisure) on overall cognitive status cognitive efficiency and memory
Overall cognitive status Cognitive efficiency Memory
ΔR2 p Value ΔR2 p Value ΔR2 p Value
BR analysis 0441 0001 0368 0001 0315 0001
Education 0047 0030 0012 0278 0086 0007
Leisure 0090 0001 0061 0014 0083 0005
T2LL 3 leisure 0037 0030 0021 0136 0040 0042
Abbreviations BR 5 brain reserve T2LL 5 T2 lesion load
Neurology 80 June 11 2013 2189
reserve hypothesis was upheld for memory but less sofor cognitive efficiency
Supplemental analyses We entered brain reserve intoregression models before cognitive reserve as MLBVis established before education and leisure Given acorrelation between education and ICV (r 5 025p 5 005) we examined whether the relationshipbetween brain reserve (ICV) and cognitive efficiencyis explained by the relationship between educationand ICV We reran the brain reserve regression pre-dicting cognitive efficacy now controlling for educa-tion in block 1 (before ICV) The main effect of ICV(ΔR2 5 0064 p 5 0022) and the ICV 3 T2 lesionload interaction (ΔR2 5 0075 p5 0009) remainedindicating that brain reserve provides independentprotection from cognitive inefficiency over and above
education Although there was no link between ICVand leisure (r 5 003 p 5 084) to be thorough wereran the regression analysis controlling for educationand leisure (block 1) There were relatively nochanges to the effect of ICV (ΔR2 5 0067 p 5
0014) or the ICV 3 T2 lesion load interaction(ΔR2 5 0067 p 5 0010) Similar to educationpremorbid intelligence is a common proxy of cogni-tive reserve and correlated with maximal lifetimebrain size21 Verbal intelligence (an estimate of pre-morbid intelligence) was only available for a subsam-ple of patients (n 5 36) but was strongly correlatedwith education (r5 062 p 0001) indicating thatthey measure similar constructs Note that verbalintelligence was only weakly related to cognitive lei-sure (r5 016 p5 0350) so the protective effects ofcognitive leisure reported herein are not explained byhigher intelligence
Consistent with the MS population half of oursample was diagnosed with MS before age 30 As suchfor some patients cognitive leisure was performed afterdisease onset We investigated whether the protectiveeffect of cognitive leisure differed based on age of diag-nosis A cognitive leisure 3 disease burden (T2 lesionload) 3 age at diagnosis interaction term (controllingfor 2-way interactions) was not significant for modelspredicting overall cognitive status (ΔR2 5 0011 p 50217) cognitive efficiency (ΔR25 0008 p5 0361)or memory (ΔR2 5 0010 p 5 0300) That is theprotective effect of cognitive leisure did not differ basedon age of diagnosis
DISCUSSION Larger MLBV moderatedattenuatedthe negative impact of disease burden on cognitive sta-tus thereby supporting the brain reserve hypothesis inMS Given the moderate but robust correlation betweenestimates of cognitive reserve and brain reserve21 theprotective effect of higher cognitive reserve in previousresearch may be partially or fully explained by concom-itantly higher brain reserve Our results demonstratethat early-life intellectual enrichment (cognitive reserve)protects patients from disease-related cognitive impair-ment independently of MLBV (brain reserve) therebysupporting the independent role of enriching experien-ces in protecting against cognitive decline
Brain reserve protected against cognitive ineffi-ciency not memory decline This may seem inconsis-tent with the agingAD literature linking larger headsize or ICV to better cognition in elders6ndash10 and lowerrisk of dementia1112 however closer examination ofthese agingAD studies confirms that larger head sizeor ICV predicts cognitive efficiency not memory689
Furthermore longitudinal studies link age-relatedbrain atrophy to declines in cognitive efficiency notmemory2627 Other agingAD studies link larger ICVor head size to better Mini-Mental State Examination
Figure 2 Cognitive reserve independently protects against disease-relatedcognitive decline over and above brain reserve
Graphical depiction of (A) the positive correlation between early-life cognitive leisure (cogni-tive reserve) and overall cognitive status and (B) the interaction between early-life cognitiveleisure and T2 lesion load whereby greater engagement in cognitive leisure moderates thenegative impact of T2 lesion load on cognitive status These results demonstrate the inde-pendent protection afforded by cognitive reserve over and above brain reserve (intracranialvolume)
2190 Neurology 80 June 11 2013
scores710 but the Mini-Mental State Examinationmakes minimal memory demands Finally somestudies show that larger head size protects againstdementia1112 but other studies do not2829 Althoughmemory impairment is the hallmark of dementia allelders with dementia also have a decline in nonme-mory cognition It is conceivable that higher brainreserve protects against nonmemory cognitive declineassociated with conversion from amnestic mild cog-nitive impairment to dementia Indeed cognitiveinefficiency is among the best predictors of conver-sion from mild cognitive impairment to dementia30
In summary the agingAD literature appears to belargely consistent with our finding that brain reserveis protective against declines in cognitive efficiencynot memory
The specific link between brain reserve and cogni-tive efficiency is consistent with the strong heritabilityof both MLBV1314 and cognitive efficiency (muchmore than memory)3132 Strong heritability may con-traindicate rehabilitation efforts to bolster brainreserve and cognitive efficiency However rather thanbuilding brain reserve persons may be able to pre-serve their remaining brain reserve (and protect cog-nitive efficiency) through effective disease-modifyingtherapies (which may slow brain volume loss) and bymaintaining a ldquobrain healthyrdquo lifestyle (eg aerobicexercise) Indeed cardiorespiratory fitness is posi-tively correlated with brain volume and cognitive effi-ciency in healthy persons33 and patients withMS34 Incontrast to brain reserve cognitive reserve is devel-oped through enriching life experiences The strongerprotective impact of life experience on memory rela-tive to cognitive efficiency in the current study isconsistent with lower heritability of memory relativeto cognitive efficiency3132 which is further alignedwith lower heritability of hippocampal volume (esti-mated genetic variance 5 040) relative to ICV(081)35 That is 60 of the variance in hippocampalvolume seems to be attributable to environmentalfactors (relative to 19 for ICV) Indeed enrichingcognitive experiences may have a positive impact onhippocampal volume in humans3637
Cognitive reserve may protect against cognitivedecline through superioroptimal neurocognitive pro-cessing5 Consistent with this notion functional MRIresearch has revealed differences in cerebral processingamong patients withMSwho have greater lifetime intel-lectual enrichment including greater activation (orlesser deactivation) within the brainrsquos default network18
The default network consists largely of limbic structuresincluding the hippocampus38 and has been implicatedin memory39 We have subsequently demonstrated thatdefault network activity during functional MRI predictsperformance on neuropsychological tasks of memory(but not cognitive efficiency) on a separate day40 These
links among cognitive reserve default network activityandmemory are consistent with our current finding thatcognitive reserve is specifically protective against mem-ory decline however future research should moredirectly investigate whether differences in default net-work activity mediate the relationship between intellec-tual enrichment and memory Although the currentstudy provides less support for the role of intellectualenrichment in protection against cognitive inefficiencythere was a positive correlation between cognitive leisureand cognitive efficiency We have previously shown thathigher cognitive reserve protects against cognitive inef-ficiency in MS17 although we did not control for brainreserve in that study Taken together the protectiveimpact of cognitive reserve appears to be more pro-nounced for memory than for cognitive efficiency atleast for patients with MS
Given that larger MLBV (estimated with ICV)protects against disease-related cognitive inefficiencyin MS clinical consideration of patient ICV mayimprove identification of patients at risk for cognitiveimpairment and efforts to maintain cardiorespiratoryfitness may help preserve brain reserve and cognitiveefficiency As discussed the specific link betweenbrain reserve and cognitive efficiency (not memory)in this study is consistent with results from agingstudies and should be further explored in agingAD and other neurologic populations The currentstudy also demonstrates that a cognitively enrichinglifestyle (a source of cognitive reserve) independentlyprotects against cognitive impairment (especiallymemory decline) over and above brain reserve Thisis critical because estimates of cognitive reserve andbrain reserve are correlated and the protective effectsof higher cognitive reserve in previous research mayhave been at least partially attributable to concomi-tantly higher brain reserve Our finding that early-lifecognitive leisure protects against memory declinemore than cognitive inefficiency is consistent withlower heritability of memory and hippocampal vol-ume relative to cognitive efficiency and ICV Cogni-tive rehabilitation efforts targeting memory in MSstand to be most beneficial as the hippocampus ismore affected by experience than other brain regionsFuture prospective andor experimental studiesshould investigate whether intellectual enrichment isassociated with largerincreased hippocampal volume(or lesserreduced hippocampal atrophy) in patientswith MS Finally the positive link between intellec-tual enrichment and cognition in the current and pre-vious studies is observational and cognitive leisureactivity is almost always sampled from a period beforedisease onset Longitudinal research is needed toinvestigate whether cognitive leisure moderatesdecline within MS patients as disease progressesand randomized controlled trials of intellectual
Neurology 80 June 11 2013 2191
enrichment are required to establish a causal linkbetween enrichment and protection from disease-related cognitive decline in patients already diagnosedwith MS Such evidence is needed to support a pre-scription of intellectual enrichment as a therapeuticintervention to minimize or prevent disease-relatedcognitive decline
AUTHOR CONTRIBUTIONSJames F Sumowski PhD drafted the manuscript for content contrib-
uted to the study concept and design and analysisinterpretation of the
data and performed statistical analyses Maria A Rocca MD assisted
in drafting the manuscript for content and analysisinterpretation of data
as well as acquisition of data and study supervisioncoordination Victoria
M Leavitt PhD assisted in drafting the manuscript for content and con-
tributed to the interpretation of the data Gianna Riccitelli PhD assisted
in the analysis of data and acquisition of data Giancarlo Comi MD
assisted with interpretation of the data John DeLuca PhD assisted in
drafting the manuscript for content Massimo Filippi MD assisted in
drafting the manuscript for content and interpretation of data as well
as acquisition of data study supervision and obtaining funding
STUDY FUNDINGThis project was funded in part by the NIH (R00HD060765 to JFS)
DISCLOSUREJF Sumowski reports no disclosures MA Rocca received speakersrsquo
honoraria from Biogen Idec and Serono Symposia International Founda-
tion and receives research support from the Italian Ministry of Health
and Fondazione Italiana Sclerosi Multipla VM Leavitt and G Riccitelli
report no disclosures G Comi has received personal compensation for
activities with Teva Neuroscience Merck Serono Bayer Schering No-
vartis Sanofi-Aventis Pharmaceuticals and Biogen-Dompeacute as a consul-
tant speaker or scientific advisory board member J DeLuca received
salary support through compensation to the Kessler Foundation Research
Center from Biogen-Idec He is also a consultant for Biogen M Filippi
serves on scientific advisory boards for Teva Pharmaceutical Industries
Ltd and Genmab AS has received funding for travel from Bayer Scher-
ing Pharma Biogen-Dompeacute Genmab AS Merck Serono and Teva
Pharmaceutical Industries Ltd serves as a consultant to Bayer Schering
Pharma Biogen-Dompeacute Genmab AS Merck Serono and Teva Phar-
maceutical Industries Ltd serves on speakersrsquo bureaus for Bayer Schering
Pharma Biogen-Dompeacute Genmab AS Merck Serono and Teva Phar-
maceutical Industries Ltd and receives research support from Bayer
Schering Pharma Biogen-Dompeacute Genmab AS Merck Serono Teva
Pharmaceutical Industries Ltd and Fondazione Italiana Sclerosi Multi-
pla Go to Neurologyorg for full disclosures
Received November 13 2012 Accepted in final form March 7 2013
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community-based studies Neurology 2006661837ndash1844
4 Satz P Brain reserve capacity on symptom onset after
brain injury a formulation and review of evidence for
threshold theory Neuropsychology 19937273ndash295
5 Stern Y What is cognitive reserve Theory and research
application of the reserve concept J Int Neuropsychol Soc
20028448ndash460
6 MacLullich AM Ferguson KJ Deary IJ Seckl JR
Starr JM Wardlaw JM Intracranial capacity and brain
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men Neurology 200259169ndash174
7 Reynolds MD Dodge HH DeKosky ST Ganguli M
Small head size is related to low Mini-Mental State Exam-
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older adults Neurology 199953228ndash229
8 Tisserand DJ Bosma H Van Boxtel MP Jolles J Head
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9 Farias ST Mungas D Reed B et al Maximal brain size
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2012331758ndash1768
10 Perneczky R Wagenpfeil S Lunetta KL et al Head cir-
cumference atrophy and cognition implications for brain
reserve in Alzheimer disease Neurology 201075137ndash142
11 Schofield PW Logroscino G Andrews HF Albert S
Stern Y An association between head circumference and
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and dementia Neurology 19974930ndash37
12 Borenstein Graves A Mortimer JA Bowen JD et al Head
circumference and incident Alzheimerrsquos disease modifica-
tion by apolipoprotein E Neurology 2001571453ndash1460
13 Bartley AJ Jones DW Weinberger DR Genetic variabil-
ity of human brain size and cortical gyral patterns Brain
1997120(pt 2)257ndash269
14 Tramo MJ Loftus WC Stukel TA Green RL Weaver JB
Gazzaniga MS Brain size head size and intelligence quo-
tient in monozygotic twins Neurology 1998501246ndash1252
15 Bennett DA Wilson RS Schneider JA et al Education
modifies the relation of AD pathology to level of cognitive
function in older persons Neurology 2003601909ndash1915
16 Roe CM Mintun MA DrsquoAngelo G Xiong C Grant EA
Morris JC Alzheimer disease and cognitive reserve varia-
tion of education effect with carbon 11-labeled Pittsburgh
Compound B uptake Arch Neurol 2008651467ndash1471
17 Sumowski JF Chiaravalloti N Wylie G Deluca J Cog-
nitive reserve moderates the negative effect of brain atro-
phy on cognitive efficiency in multiple sclerosis J Int
Neuropsychol Soc 200915606ndash612
18 Sumowski JF Wylie GR Deluca J Chiaravalloti N Intel-
lectual enrichment is linked to cerebral efficiency in mul-
tiple sclerosis functional magnetic resonance imaging
evidence for cognitive reserve Brain 2010133362ndash374
19 Sumowski JF Wylie GR Chiaravalloti N DeLuca J
Intellectual enrichment lessens the effect of brain atrophy
on learning and memory in multiple sclerosis Neurology
2010741942ndash1945
20 Sumowski JF Wylie GR Gonnella A Chiaravalloti N
Deluca J Premorbid cognitive leisure independently con-
tributes to cognitive reserve in multiple sclerosis Neurology
2010751428ndash1431
21 Deary IJ Penke L Johnson W The neuroscience of
human intelligence differences Nat Rev Neurosci 2010
11201ndash211
22 Polman CH Reingold SC Banwell B et al Diagnostic cri-
teria for multiple sclerosis 2010 revisions to the McDonald
criteria Ann Neurol 201169292ndash302
23 Amato MP Portaccio E Goretti B et al The Raorsquos Brief
Repeatable Battery and Stroop Test normative values with
age education and gender corrections in an Italian popu-
lation Mult Scler 200612787ndash793
2192 Neurology 80 June 11 2013
24 Courchesne E Chisum HJ Townsend J et al Normal brain
development and aging quantitative analysis at in vivo MR
imaging in healthy volunteers Radiology 2000216672ndash782
25 Mori E Hirono N Yamashita H et al Premorbid brain size
as a determinant of reserve capacity against intellectual decline
in Alzheimerrsquos disease Am J Psychiatry 199715418ndash24
26 Rabbitt P Mogapi O Scott M et al Effects of global atro-
phy white matter lesions and cerebral blood flow on age-
related changes in speed memory intelligence vocabulary
and frontal function Neuropsychology 200721684ndash695
27 Kramer JH Mungas D Reed BR et al Longitudinal MRI
and cognitive change in healthy elderly Neuropsychology
200721412ndash418
28 Edland SD Xu Y Plevak M et al Total intracranial vol-
ume normative values and lack of association with Alz-
heimerrsquos disease Neurology 200259272ndash274
29 Jenkins R Fox NC Rossor AM Harvey RJ Rossor MN
Intracranial volume and Alzheimer disease evidence against
the cerebral reserve hypothesis Arch Neurol 200057220ndash224
30 Tabert MH Manly JJ Liu X et al Neuropsychological
prediction of conversion to Alzheimer disease in patients
with mild cognitive impairment Arch Gen Psychiatry
200663916ndash924
31 Pedersen NL Plomin R Nesselroade JR McClearn GE A
quantitative genetic analysis of cognitive abilities during the
second half of the life span Psychol Sci 19923346ndash353
32 McClearn GE Johansson B Berg S et al Substantial
genetic influence on cognitive abilities in twins 80 or more
years old Science 19972761560ndash1563
33 Hillman CH Erickson KI Kramer AF Be smart exercise
your heart exercise effects on brain and cognition Nat
Rev Neurosci 2008958ndash65
34 Prakash RS Snook EM Motl RW Kramer AF Aerobic
fitness is associated with gray matter volume and white
matter integrity in multiple sclerosis Brain Res 2010
134141ndash51
35 Sullivan EV Pfefferbaum A Swan GE Carmelli D Her-
itability of hippocampal size in elderly twin men equiva-
lent influence from genes and environment Hippocampus
200111754ndash762
36 Maguire EA Gadian DG Johnsrude IS et al Navigation-
related structural change in the hippocampi of taxi drivers
Proc Natl Acad Sci USA 2000974398ndash4403
37 Draganski B Gaser C Kempermann G et al Temporal
and spatial dynamics of brain structure changes during
extensive learning J Neurosci 2006266314ndash6317
38 Greicius MD Supekar K Menon V Dougherty RF Rest-
ing-state functional connectivity reflects structural connec-
tivity in the default mode network Cereb Cortex 200919
72ndash78
39 Kim H A dual-subsystem model of the brainrsquos default
network self-referential processing memory retrieval pro-
cesses and autobiographical memory retrieval Neuro-
image 201261966ndash977
40 Sumowski JF Wylie GR Leavitt VM Chiaravalloti ND
Deluca J Default network activity is a sensitive and spe-
cific biomarker of memory in multiple sclerosis Mult Scler
201219199ndash208
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Neurology 80 June 11 2013 2193
DOI 101212WNL0b013e318296e98b2013802186-2193 Published Online before print May 10 2013Neurology
James F Sumowski Maria A Rocca Victoria M Leavitt et al you use it
Brain reserve and cognitive reserve in multiple sclerosis What youve got and how
This information is current as of May 10 2013
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e318296e98bDC1htmlhttpwwwneurologyorgcontentsuppl20130723WNL0b013Supplementary material can be found at
References
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CORRECTIONBrain reserve and cognitive reserve in multiple sclerosis What yoursquove got and how you use it
In the article ldquoBrain reserve and cognitive reserve in multiple sclerosis What yoursquove got and how you use itrdquo by JF Sumowski et al (Neurologyreg
2013802186ndash2193) there is an error in figures 1 and 2 where the lines are switched The corrected figures are below The editorial staff regrets the error
Figure 1 Brain reserve protects against disease-relatedcognitive decline
Graphical depiction of (A) the positive correlation between intracra-nial volume (ICV) (brain reserve) and overall cognitive status and (B)the interaction between ICV and T2 lesion load (T2LL) wherebylarger ICV moderates the negative impact of T2LL on cognitivestatus
Figure 2 Cognitive reserve independently protectsagainst disease-related cognitive declineover and above brain reserve
Graphical depiction of (A) the positive correlation between early-lifecognitive leisure (cognitive reserve) and overall cognitive status and(B) the interaction between early-life cognitive leisure and T2 lesionload whereby greater engagement in cognitive leisure moderatesthe negative impact of T2 lesion load on cognitive status These re-sults demonstrate the independent protection afforded by cognitivereserve over and above brain reserve (intracranial volume)
604 copy 2013 American Academy of Neurology
James F Sumowski PhDMaria A Rocca MDVictoria M Leavitt PhDGianna Riccitelli PhDGiancarlo Comi MDJohn DeLuca PhDMassimo Filippi MD
Correspondence toDr Sumowskijsumowskikesslerfoundationorg
Brain reserve and cognitive reserve inmultiple sclerosisWhat yoursquove got and how you use it
ABSTRACT
ObjectiveWe first tested the brain reserve (BR) hypothesis in multiple sclerosis (MS) by examiningwhether larger maximal lifetime brain volume (MLBV determined by genetics) protects againstdisease-related cognitive impairment and then investigated whether cognitive reserve (CR)gained through life experience (intellectually enriching leisure activities) protects against cogni-tive decline independently of MLBV (BR)
Methods Sixty-two patients with MS (41 relapsing-remitting MS 21 secondary progressive MS)received MRIs to estimate BR (MLBV estimated with intracranial volume [ICV]) and disease burden(T2 lesion load atrophy of gray matter white matter thalamus and hippocampus) Early-life cog-nitive leisurewasmeasured as a source of CRWe assessed cognitive statuswith tasks of cognitiveefficiency and memory Hierarchical regressions were used to investigate whether higher BR (ICV)protects against cognitive impairment and whether higher CR (leisure) independently protectsagainst cognitive impairment over and above BR
Results Cognitive status was positively associated with ICV (R2 5 0066 p 5 0017) An ICV 3
disease burden interaction (R2 5 0050 p 5 0030) revealed that larger ICV attenuated theimpact of disease burden on cognition Controlling for BR higher education (R2 5 0047 p 5
0030) and leisure (R2 5 0090 p 5 0001) predicted better cognition A leisure 3 diseaseburden interaction (R2 5 0037 p 5 0030) showed that leisure independently attenuated theimpact of disease burden on cognition Follow-up analyses revealed that BR protected againstcognitive inefficiency not memory deficits whereas CR was more protective against memorydeficits than cognitive inefficiency
ConclusionWeprovide evidence of BR inMS and show that CR independently protects against dis-ease-related cognitive decline over and above BR Lifestyle choices protect against cognitive impair-ment independently of genetic factors outside of onersquos control Neurology 2013802186ndash2193
GLOSSARYAD5 Alzheimer disease BR5 brain reserve CR5 cognitive reserve GM5 gray matter ICV5 intracranial volumeMLBV5maximal lifetime brain volume MS 5 multiple sclerosis WM 5 white matter
Many persons with multiple sclerosis (MS) have cognitive impairment whereas others withstandconsiderable disease burden without cognitive decline12 A similar cognitive-pathologic dissocia-tion in Alzheimer disease (AD)3 prompted theories of ldquobrain reserverdquo4 and ldquocognitive reserverdquo5
The brain reserve hypothesis posits that larger maximal lifetime brain volume (MLBV) (estimatedwith head size or intracranial volume [ICV]) protects against cognitive decline4 That is cognitiveimpairment emerges when brain volume falls beneath a critical threshold persons with largerMLBV withstand greater disease burden before reaching this threshold Indeed elders withlarger MLBV have better cognition6ndash10 and lower risk of dementia1112 Herein we investigatewhether MLBV (brain reserve) protects patients with MS from cognitive impairment
Brain reserve (MLBV) is determined almost entirely by genetics1314 In contrast the cognitivereserve hypothesis posits that enriching experiences (eg education cognitive leisure) protect
From Neuropsychology and Neuroscience (JFS VML JD) Kessler Foundation Research Center West Orange Departments of PhysicalMedicine and Rehabilitation (JFS VML JD) and Neurology and Neurosciences (JD) UMDNJndashNew Jersey Medical School Newark NJand Neuroimaging Research Unit (MAR GR MF) and Department of Neurology (MAR GC MF) San Raffaele Scientific InstituteVita-Salute San Raffaele University Milan Italy
Go to Neurologyorg for full disclosures Funding information and disclosures deemed relevant by the authors if any are provided at the end of the article
2186 copy 2013 American Academy of Neurology
against dementia5 Indeed educational attain-ment attenuates the effect of AD neuropathol-ogy on cognition1516 We have extended thecognitive reserve hypothesis toMS17ndash20 showingthat lifetime intellectual enrichment attenuatesthe effect of disease burden on cognition1719
Importantly brain reserve and cognitive reservehave been investigated separately so it remainsunclear whether enriching life experiences pro-tect against cognitive decline independently ofgenetically determined MLBV Given the mod-erate but robust correlation between brainreserve and cognitive reserve (brain size andintelligence21) it is unknown whether theprotective effect of enriching experiences isexplained through concomitantly higher brainreserve Herein we investigate whether early-lifecognitive leisure (source of cognitive reserve)independently protects against cognitive impair-ment over and above MLBV (brain reserve) inpatients with MS
METHODS Subject enrollment Subjects were 62 patients
with definite MS22 (30 women) without an exacerbation in the
last 4 weeks no current corticosteroid use and no history of
serious psychiatric illness substance abuse learning disability
or other neurologic condition Mean age was 437 6 111 years
with 131 6 34 years of education Given that a) patients retro-
spectively reported cognitive leisure from their early 20s and b)
we wanted formal education completed before participation all
patients were at least 25 years old Mean disease duration was
132 6 69 years with a mean Expanded Disability Status Scale
score of 32 6 21 MS phenotypes included relapsing-remitting
(n 5 41) and secondary progressive (n 5 21) Current disease-
modifying drug treatments included interferon b-1a (n 5 26) or
interferon b-1b (n5 4) glatiramer acetate (n5 19) azathioprine
(n 5 3) cyclophosphamide (n 5 2) natalizumab (n 5 2)
mitoxantrone (n 5 1) or no treatment (n 5 5)
Standard protocol approvals registrations and patientconsents Approval was received from the local ethical standards
committee on human experimentation and written informed
consent was obtained from all subjects participating in the study
Cognitive functioning Cognitive inefficiency and memory
problems are the most prevalent cognitive deficits among patients
with MS1 Cognitive efficiency was measured with the Symbol
Digit Modalities Test (oral version) and the Paced Auditory Serial
Addition Task (3-second version) Norm-referenced z scores werecalculated for both tasks23 and the mean of these z scores com-
prised our cognitive efficiency composite Memory was assessed
with the Selective Reminding Test and Spatial Recall Test
Norm-referenced z scores were calculated for the Selective Re-
minding Test (Total Learning Delayed Recall) and Spatial Recall
Test (Total Learning Delayed Recall)23 and the mean of these zscores comprised our memory composite A norm-referenced
overall cognitive status score was derived as the mean of cognitiveefficiency and memory composites Analyses first investigated the
impact of brain reserve and cognitive reserve on overall cognitivestatus and then separately for cognitive efficiency and memory
Lesion load and brain atrophy Using a 30-tesla Philips Interascanner (Philips Healthcare Guildford UK) the following brain
sequences were acquired a) dual-echo turbo spin echo (repetition
timeecho time 5 350024ndash120 milliseconds fractional anisot-
ropy5 150deg field of view5 240mm2 matrix5 2563 256 echo
train length 5 5 44 contiguous 3-mm-thick axial slices) and b)
3-dimensional T1-weighted fast field echo (repetition time 5
25 milliseconds echo time 5 46 milliseconds fractional anisot-
ropy 5 30deg field of view 5 230 mm2 matrix 5 256 3 256
slice thickness 5 1 mm 220 contiguous axial slices in-plane res-
olution 5 089 3 089 mm2) T2 lesion load was measured on
dual-echo scans using a local thresholding segmentation technique
(Jim 50 Xinapse System wwwxinapsecom) Brain atrophy
was measured as normalized volumes of gray matter (GM) and
white matter (WM) obtained using SIENAX (version 26 part
of FSL 41) whereas normalized volumes of the thalamus and
hippocampus were obtained using FIRST then applying the
same scaling factor calculated with SIENAX To correct for the
misclassification of WM lesions all pixels classified as GM but
lying neither in the cortical GM nor in the subcortical GM were
reassigned to the WM before volume calculation The scaling
factor within SIENAX is derived from the transformation that
matches the extracted brain and skull to standard-space brain and
skull images (derived from the MNI152 standard image) values
higher than one were obtained for heads with small ICV and values
lower than one for ICVs larger than theMNI atlas An advantage of
this approach is that it does not require that CSF be robustly
estimated as it is difficult to distinguish between CSF and skull
voxels in T images Lesion load and brain atrophy were used as
estimates of MS disease burden in subsequent analyses
Estimate of brain reserve ICV ICV is an estimate of MLBV
as brain growth corresponds to increased ICV during develop-
ment24 and ICV is strongly correlated with brain size in healthy
persons (eg r 5 08625) ICV has been used as an estimate of
brain reserve in previous research (eg references 6 and 9) The
aforementioned scaling factor within SIENAX is a measurement
of ICV however we reversed the direction of values such that
larger values represent larger ICVs (for ease of presentation)
Given that men have larger ICVs than women as in our sample
(t[60] 5 562 p 0001) we adjusted ICV measurements for
sex The brain reserve hypothesis states that persons with higher
brain reserve withstand more severe disease burden before expe-
riencing cognitive decline not that higher brain reserve slows
disease progression As expected therefore there was no relation-
ship between ICV and disease duration (r52002 p5 088) or
T2 lesion load (r 5 008 p 5 055) nor was there a difference
between disease phenotypes (t[60] 5 081 p 5 041)
Estimate of cognitive reserve Cognitive leisure activityAs described previously20 patients were surveyed to quantify par-
ticipation in 7 cognitive leisure activities during their early 20s
(table 1) Frequency of participation in each activity was endorsed
as 1) once or less per year 2) several times per year 3) several
times per month 4) several times per week or 5) daily Total
frequency across items was our estimate of early-life cognitive
leisure (mean 5 188 6 57) This score was interpolated for
patients missing 1 (n 5 3) or 2 (n 5 4) items There was no
difference in leisure frequency between our sample and a larger
independent matched pilot sample of 124 patients with MS aged
25 years or older (table 1) indicating that early-life cognitive
leisure within our sample was representative of MS patients gen-
erally We have previously shown no difference between item
endorsement between patients with MS and healthy persons
indicating that cognitive leisure was unaffected by preclinical
Neurology 80 June 11 2013 2187
disease20 The cognitive reserve hypothesis states that lifetime
enrichment helps patients better withstand disease without cog-
nitive impairment not that enriching lifestyles slow disease pro-
gression As expected therefore there was no relationship
between cognitive leisure and disease duration (r 5 014 p 5
028) or T2 lesion load (r 5 2006 p 5 067) nor was there a
difference between disease phenotypes (t[60] 5 061 p 5 055)
Statistical analyses Brain reserveWe performed a hierarchical
regression to investigate the protective effect of brain reserve on
overall cognitive status After controlling for age sex and pheno-
type (block 1) estimates of disease burden (T2 lesion load brain
atrophy normalized volumes of cerebral GM cerebral WM thal-
amus and hippocampus) were entered in a stepwise fashion (block
2) ICV was entered within block 3 to test whether MLBV predicts
cognitive status (Stepwise entry of disease burden estimates within
block 2 allowed us to assess the contribution of brain reserve over
and above the estimate of disease burden most associated with cog-
nitive status) Finally the interaction between ICV and disease bur-
den (estimate retained within block 2) was evaluated in block 4 If
brain reserve protects against cognitive decline there should be an
interaction between ICV and disease burden such that greater ICV
moderatesattenuates the deleterious impact of disease burden on
cognitive status This hierarchical regression was repeated to predict
cognitive efficiency and memory separately
Cognitive reserve We then investigated whether cognitive
reserve independently protects against disease-related cognitive
decline even after controlling for brain reserve A hierarchical
regression was again performed to predict overall cognitive status
After controlling for the previous brain reserve analysis (block 1)
education (block 2) and early-life cognitive leisure (block 3) were
entered followed by the interaction between disease burden and
cognitive leisure (block 4) If cognitive reserve independently pro-
tects against disease-related cognitive decline there will be an
interaction whereby greater cognitive leisure moderatesattenu-
ates the deleterious impact of disease burden on cognitive status
This hierarchical regression was repeated to predict cognitive effi-
ciency and memory separately
RESULTS Brain reserve The results for brain reserveanalyses are presented in table 2
Overall cognitive status After controlling for age sexand phenotype (block 1) T2 lesion load (the onlyestimate of disease burden retained) was negativelyassociated with cognitive status (block 2) There wasa medium-sized positive relationship between ICVand cognitive status (block 3) such that patients withlarger ICVs had better cognitive status (figure 1A)
Table 1 Means and SDs for the current sample and matched pilot sample on each of the 7 cognitive leisureactivities as well as the total cognitive leisure scorea
Cognitive leisure activitiesPilot sample (n 5 124)b
mean 6 SDSample (n 5 62)mean 6 SD
Differencep values
Read books 31 6 14 32 6 15 080
Read magazines or newspapers 39 6 12 38 6 14 062
Produce art (eg painting poetrysculpture song writing ballet)
25 6 13 22 6 13 024
Produce nonartistic writing (eg diarynewsletter essay blog)
23 6 13 23 6 15 080
Play a musical instrument 21 6 14 20 6 15 054
Play structured games (eg cardsboard games crossword puzzles)
28 6 12 27 6 11 067
Participate in hobbies (eg gardeningmodel building Web design)
25 6 14 26 6 13 059
Total cognitive leisure activity 190 6 48 187 6 56 071
aThere were no differences between the current sample and the larger pilot sample on any itemsb The pilot sample did not differ in age (420 6 103 years p 5 029) disease duration (132 6 84 years p 5 097)education (136 6 32 years p 5 036) or Expanded Disability Status Scale score (31 6 19 p 5 070) There was amarginally higher proportion of women (605 p 5 0076) and patients with relapsing-remitting multiple sclerosis(782 p 5 0076) within the pilot sample
Table 2 Results for the hierarchical regression analyses investigating the protective effect of brain reserve(ICV) on overall cognitive status cognitive efficiency and memory
Overall cognitive status Cognitive efficiency Memory
ΔR2 p Value ΔR2 p Value ΔR2 p Value
Age sex phenotype 0236 0001 0203 0004 0180 0009
T2LL 0089 0008 0040 0090 0119 0003
ICV 0066 0017 0100 0005 0012 0335
T2LL 3 ICV 0050 0030 0087 0005 0005 0528
Abbreviations ICV 5 intracranial volume T2LL 5 T2 lesion load
2188 Neurology 80 June 11 2013
The interaction between ICV and disease burden (T2lesion load) was also significant (block 4) such thatgreater ICV moderatedattenuated the negativeimpact of disease burden (T2 lesion load) on cogni-tive status (figure 1B)
Cognitive efficiency and memory There was a largepositive relationship between ICV and cognitive effi-ciency (block 3) such that patients with larger ICVsshowed better cognitive efficiency There was also aninteraction whereby greater ICV moderatedattenu-ated the negative impact of T2 lesion load on cogni-tive efficiency In contrast there was no relationshipbetween ICV and memory (block 3) nor was theinteraction significant (block 4) Brain reserve pro-tected against disease-related cognitive inefficiencynot memory problems
Cognitive reserve The results of cognitive reserve anal-yses are presented in table 3
Overall cognitive status After accounting for thebrain reserve analysis (block 1 age sex phenotypeT2 lesion load ICV ICV 3 T2 lesion load) therewas a positive relationship between cognitive statusand education (block 2) There was also a large inde-pendent positive relationship between cognitive lei-sure and cognitive status (block 3) such that patientswho engaged in more early-life cognitive leisure hadbetter cognitive status (figure 2A) The interactionbetween T2 lesion load and cognitive leisure was sig-nificant (block 4) with greater cognitive leisure mod-eratingattenuating the negative impact of T2 lesionload on cognitive status (figure 2B)
Cognitive efficiency and memory Cognitive efficiencywas unrelated to education (block 2) but positivelyrelated to cognitive leisure (block 3) The interactionbetween T2 lesion load and cognitive leisure on cog-nitive efficiency was small and nonsignificant (block4) Memory was strongly and positively related toboth education (block 2) and cognitive leisure (block3) and there was a significant small- to medium-sizedinteraction between T2 lesion load and cognitive lei-sure (block 4) such that greater cognitive leisure mod-eratedattenuated the negative impact of T2 lesionload on memory In summary cognitive leisure inde-pendently contributed to both cognitive efficiencyand memory over and above brain reserve but theinteraction between cognitive leisure and disease bur-den was only significant for memory The cognitive
Figure 1 Brain reserve protects against disease-related cognitive decline
Graphical depiction of (A) the positive correlation between intracranial volume (ICV) (brain reserve)and overall cognitive status and (B) the interaction between ICV and T2 lesion load (T2LL)whereby larger ICV moderates the negative impact of T2LL on cognitive status
Table 3 Results for the hierarchical regression analyses investigating the independent protective effect ofcognitive reserve (leisure) on overall cognitive status cognitive efficiency and memory
Overall cognitive status Cognitive efficiency Memory
ΔR2 p Value ΔR2 p Value ΔR2 p Value
BR analysis 0441 0001 0368 0001 0315 0001
Education 0047 0030 0012 0278 0086 0007
Leisure 0090 0001 0061 0014 0083 0005
T2LL 3 leisure 0037 0030 0021 0136 0040 0042
Abbreviations BR 5 brain reserve T2LL 5 T2 lesion load
Neurology 80 June 11 2013 2189
reserve hypothesis was upheld for memory but less sofor cognitive efficiency
Supplemental analyses We entered brain reserve intoregression models before cognitive reserve as MLBVis established before education and leisure Given acorrelation between education and ICV (r 5 025p 5 005) we examined whether the relationshipbetween brain reserve (ICV) and cognitive efficiencyis explained by the relationship between educationand ICV We reran the brain reserve regression pre-dicting cognitive efficacy now controlling for educa-tion in block 1 (before ICV) The main effect of ICV(ΔR2 5 0064 p 5 0022) and the ICV 3 T2 lesionload interaction (ΔR2 5 0075 p5 0009) remainedindicating that brain reserve provides independentprotection from cognitive inefficiency over and above
education Although there was no link between ICVand leisure (r 5 003 p 5 084) to be thorough wereran the regression analysis controlling for educationand leisure (block 1) There were relatively nochanges to the effect of ICV (ΔR2 5 0067 p 5
0014) or the ICV 3 T2 lesion load interaction(ΔR2 5 0067 p 5 0010) Similar to educationpremorbid intelligence is a common proxy of cogni-tive reserve and correlated with maximal lifetimebrain size21 Verbal intelligence (an estimate of pre-morbid intelligence) was only available for a subsam-ple of patients (n 5 36) but was strongly correlatedwith education (r5 062 p 0001) indicating thatthey measure similar constructs Note that verbalintelligence was only weakly related to cognitive lei-sure (r5 016 p5 0350) so the protective effects ofcognitive leisure reported herein are not explained byhigher intelligence
Consistent with the MS population half of oursample was diagnosed with MS before age 30 As suchfor some patients cognitive leisure was performed afterdisease onset We investigated whether the protectiveeffect of cognitive leisure differed based on age of diag-nosis A cognitive leisure 3 disease burden (T2 lesionload) 3 age at diagnosis interaction term (controllingfor 2-way interactions) was not significant for modelspredicting overall cognitive status (ΔR2 5 0011 p 50217) cognitive efficiency (ΔR25 0008 p5 0361)or memory (ΔR2 5 0010 p 5 0300) That is theprotective effect of cognitive leisure did not differ basedon age of diagnosis
DISCUSSION Larger MLBV moderatedattenuatedthe negative impact of disease burden on cognitive sta-tus thereby supporting the brain reserve hypothesis inMS Given the moderate but robust correlation betweenestimates of cognitive reserve and brain reserve21 theprotective effect of higher cognitive reserve in previousresearch may be partially or fully explained by concom-itantly higher brain reserve Our results demonstratethat early-life intellectual enrichment (cognitive reserve)protects patients from disease-related cognitive impair-ment independently of MLBV (brain reserve) therebysupporting the independent role of enriching experien-ces in protecting against cognitive decline
Brain reserve protected against cognitive ineffi-ciency not memory decline This may seem inconsis-tent with the agingAD literature linking larger headsize or ICV to better cognition in elders6ndash10 and lowerrisk of dementia1112 however closer examination ofthese agingAD studies confirms that larger head sizeor ICV predicts cognitive efficiency not memory689
Furthermore longitudinal studies link age-relatedbrain atrophy to declines in cognitive efficiency notmemory2627 Other agingAD studies link larger ICVor head size to better Mini-Mental State Examination
Figure 2 Cognitive reserve independently protects against disease-relatedcognitive decline over and above brain reserve
Graphical depiction of (A) the positive correlation between early-life cognitive leisure (cogni-tive reserve) and overall cognitive status and (B) the interaction between early-life cognitiveleisure and T2 lesion load whereby greater engagement in cognitive leisure moderates thenegative impact of T2 lesion load on cognitive status These results demonstrate the inde-pendent protection afforded by cognitive reserve over and above brain reserve (intracranialvolume)
2190 Neurology 80 June 11 2013
scores710 but the Mini-Mental State Examinationmakes minimal memory demands Finally somestudies show that larger head size protects againstdementia1112 but other studies do not2829 Althoughmemory impairment is the hallmark of dementia allelders with dementia also have a decline in nonme-mory cognition It is conceivable that higher brainreserve protects against nonmemory cognitive declineassociated with conversion from amnestic mild cog-nitive impairment to dementia Indeed cognitiveinefficiency is among the best predictors of conver-sion from mild cognitive impairment to dementia30
In summary the agingAD literature appears to belargely consistent with our finding that brain reserveis protective against declines in cognitive efficiencynot memory
The specific link between brain reserve and cogni-tive efficiency is consistent with the strong heritabilityof both MLBV1314 and cognitive efficiency (muchmore than memory)3132 Strong heritability may con-traindicate rehabilitation efforts to bolster brainreserve and cognitive efficiency However rather thanbuilding brain reserve persons may be able to pre-serve their remaining brain reserve (and protect cog-nitive efficiency) through effective disease-modifyingtherapies (which may slow brain volume loss) and bymaintaining a ldquobrain healthyrdquo lifestyle (eg aerobicexercise) Indeed cardiorespiratory fitness is posi-tively correlated with brain volume and cognitive effi-ciency in healthy persons33 and patients withMS34 Incontrast to brain reserve cognitive reserve is devel-oped through enriching life experiences The strongerprotective impact of life experience on memory rela-tive to cognitive efficiency in the current study isconsistent with lower heritability of memory relativeto cognitive efficiency3132 which is further alignedwith lower heritability of hippocampal volume (esti-mated genetic variance 5 040) relative to ICV(081)35 That is 60 of the variance in hippocampalvolume seems to be attributable to environmentalfactors (relative to 19 for ICV) Indeed enrichingcognitive experiences may have a positive impact onhippocampal volume in humans3637
Cognitive reserve may protect against cognitivedecline through superioroptimal neurocognitive pro-cessing5 Consistent with this notion functional MRIresearch has revealed differences in cerebral processingamong patients withMSwho have greater lifetime intel-lectual enrichment including greater activation (orlesser deactivation) within the brainrsquos default network18
The default network consists largely of limbic structuresincluding the hippocampus38 and has been implicatedin memory39 We have subsequently demonstrated thatdefault network activity during functional MRI predictsperformance on neuropsychological tasks of memory(but not cognitive efficiency) on a separate day40 These
links among cognitive reserve default network activityandmemory are consistent with our current finding thatcognitive reserve is specifically protective against mem-ory decline however future research should moredirectly investigate whether differences in default net-work activity mediate the relationship between intellec-tual enrichment and memory Although the currentstudy provides less support for the role of intellectualenrichment in protection against cognitive inefficiencythere was a positive correlation between cognitive leisureand cognitive efficiency We have previously shown thathigher cognitive reserve protects against cognitive inef-ficiency in MS17 although we did not control for brainreserve in that study Taken together the protectiveimpact of cognitive reserve appears to be more pro-nounced for memory than for cognitive efficiency atleast for patients with MS
Given that larger MLBV (estimated with ICV)protects against disease-related cognitive inefficiencyin MS clinical consideration of patient ICV mayimprove identification of patients at risk for cognitiveimpairment and efforts to maintain cardiorespiratoryfitness may help preserve brain reserve and cognitiveefficiency As discussed the specific link betweenbrain reserve and cognitive efficiency (not memory)in this study is consistent with results from agingstudies and should be further explored in agingAD and other neurologic populations The currentstudy also demonstrates that a cognitively enrichinglifestyle (a source of cognitive reserve) independentlyprotects against cognitive impairment (especiallymemory decline) over and above brain reserve Thisis critical because estimates of cognitive reserve andbrain reserve are correlated and the protective effectsof higher cognitive reserve in previous research mayhave been at least partially attributable to concomi-tantly higher brain reserve Our finding that early-lifecognitive leisure protects against memory declinemore than cognitive inefficiency is consistent withlower heritability of memory and hippocampal vol-ume relative to cognitive efficiency and ICV Cogni-tive rehabilitation efforts targeting memory in MSstand to be most beneficial as the hippocampus ismore affected by experience than other brain regionsFuture prospective andor experimental studiesshould investigate whether intellectual enrichment isassociated with largerincreased hippocampal volume(or lesserreduced hippocampal atrophy) in patientswith MS Finally the positive link between intellec-tual enrichment and cognition in the current and pre-vious studies is observational and cognitive leisureactivity is almost always sampled from a period beforedisease onset Longitudinal research is needed toinvestigate whether cognitive leisure moderatesdecline within MS patients as disease progressesand randomized controlled trials of intellectual
Neurology 80 June 11 2013 2191
enrichment are required to establish a causal linkbetween enrichment and protection from disease-related cognitive decline in patients already diagnosedwith MS Such evidence is needed to support a pre-scription of intellectual enrichment as a therapeuticintervention to minimize or prevent disease-relatedcognitive decline
AUTHOR CONTRIBUTIONSJames F Sumowski PhD drafted the manuscript for content contrib-
uted to the study concept and design and analysisinterpretation of the
data and performed statistical analyses Maria A Rocca MD assisted
in drafting the manuscript for content and analysisinterpretation of data
as well as acquisition of data and study supervisioncoordination Victoria
M Leavitt PhD assisted in drafting the manuscript for content and con-
tributed to the interpretation of the data Gianna Riccitelli PhD assisted
in the analysis of data and acquisition of data Giancarlo Comi MD
assisted with interpretation of the data John DeLuca PhD assisted in
drafting the manuscript for content Massimo Filippi MD assisted in
drafting the manuscript for content and interpretation of data as well
as acquisition of data study supervision and obtaining funding
STUDY FUNDINGThis project was funded in part by the NIH (R00HD060765 to JFS)
DISCLOSUREJF Sumowski reports no disclosures MA Rocca received speakersrsquo
honoraria from Biogen Idec and Serono Symposia International Founda-
tion and receives research support from the Italian Ministry of Health
and Fondazione Italiana Sclerosi Multipla VM Leavitt and G Riccitelli
report no disclosures G Comi has received personal compensation for
activities with Teva Neuroscience Merck Serono Bayer Schering No-
vartis Sanofi-Aventis Pharmaceuticals and Biogen-Dompeacute as a consul-
tant speaker or scientific advisory board member J DeLuca received
salary support through compensation to the Kessler Foundation Research
Center from Biogen-Idec He is also a consultant for Biogen M Filippi
serves on scientific advisory boards for Teva Pharmaceutical Industries
Ltd and Genmab AS has received funding for travel from Bayer Scher-
ing Pharma Biogen-Dompeacute Genmab AS Merck Serono and Teva
Pharmaceutical Industries Ltd serves as a consultant to Bayer Schering
Pharma Biogen-Dompeacute Genmab AS Merck Serono and Teva Phar-
maceutical Industries Ltd serves on speakersrsquo bureaus for Bayer Schering
Pharma Biogen-Dompeacute Genmab AS Merck Serono and Teva Phar-
maceutical Industries Ltd and receives research support from Bayer
Schering Pharma Biogen-Dompeacute Genmab AS Merck Serono Teva
Pharmaceutical Industries Ltd and Fondazione Italiana Sclerosi Multi-
pla Go to Neurologyorg for full disclosures
Received November 13 2012 Accepted in final form March 7 2013
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3 Bennett DA Schneider JA Arvanitakis Z et al Neuropathol-
ogy of older persons without cognitive impairment from two
community-based studies Neurology 2006661837ndash1844
4 Satz P Brain reserve capacity on symptom onset after
brain injury a formulation and review of evidence for
threshold theory Neuropsychology 19937273ndash295
5 Stern Y What is cognitive reserve Theory and research
application of the reserve concept J Int Neuropsychol Soc
20028448ndash460
6 MacLullich AM Ferguson KJ Deary IJ Seckl JR
Starr JM Wardlaw JM Intracranial capacity and brain
volumes are associated with cognition in healthy elderly
men Neurology 200259169ndash174
7 Reynolds MD Dodge HH DeKosky ST Ganguli M
Small head size is related to low Mini-Mental State Exam-
ination scores in a community sample of nondemented
older adults Neurology 199953228ndash229
8 Tisserand DJ Bosma H Van Boxtel MP Jolles J Head
size and cognitive ability in nondemented older adults are
related Neurology 200156969ndash971
9 Farias ST Mungas D Reed B et al Maximal brain size
remains an important predictor of cognition in old age
independent of current brain pathology Neurobiol Aging
2012331758ndash1768
10 Perneczky R Wagenpfeil S Lunetta KL et al Head cir-
cumference atrophy and cognition implications for brain
reserve in Alzheimer disease Neurology 201075137ndash142
11 Schofield PW Logroscino G Andrews HF Albert S
Stern Y An association between head circumference and
Alzheimerrsquos disease in a population-based study of aging
and dementia Neurology 19974930ndash37
12 Borenstein Graves A Mortimer JA Bowen JD et al Head
circumference and incident Alzheimerrsquos disease modifica-
tion by apolipoprotein E Neurology 2001571453ndash1460
13 Bartley AJ Jones DW Weinberger DR Genetic variabil-
ity of human brain size and cortical gyral patterns Brain
1997120(pt 2)257ndash269
14 Tramo MJ Loftus WC Stukel TA Green RL Weaver JB
Gazzaniga MS Brain size head size and intelligence quo-
tient in monozygotic twins Neurology 1998501246ndash1252
15 Bennett DA Wilson RS Schneider JA et al Education
modifies the relation of AD pathology to level of cognitive
function in older persons Neurology 2003601909ndash1915
16 Roe CM Mintun MA DrsquoAngelo G Xiong C Grant EA
Morris JC Alzheimer disease and cognitive reserve varia-
tion of education effect with carbon 11-labeled Pittsburgh
Compound B uptake Arch Neurol 2008651467ndash1471
17 Sumowski JF Chiaravalloti N Wylie G Deluca J Cog-
nitive reserve moderates the negative effect of brain atro-
phy on cognitive efficiency in multiple sclerosis J Int
Neuropsychol Soc 200915606ndash612
18 Sumowski JF Wylie GR Deluca J Chiaravalloti N Intel-
lectual enrichment is linked to cerebral efficiency in mul-
tiple sclerosis functional magnetic resonance imaging
evidence for cognitive reserve Brain 2010133362ndash374
19 Sumowski JF Wylie GR Chiaravalloti N DeLuca J
Intellectual enrichment lessens the effect of brain atrophy
on learning and memory in multiple sclerosis Neurology
2010741942ndash1945
20 Sumowski JF Wylie GR Gonnella A Chiaravalloti N
Deluca J Premorbid cognitive leisure independently con-
tributes to cognitive reserve in multiple sclerosis Neurology
2010751428ndash1431
21 Deary IJ Penke L Johnson W The neuroscience of
human intelligence differences Nat Rev Neurosci 2010
11201ndash211
22 Polman CH Reingold SC Banwell B et al Diagnostic cri-
teria for multiple sclerosis 2010 revisions to the McDonald
criteria Ann Neurol 201169292ndash302
23 Amato MP Portaccio E Goretti B et al The Raorsquos Brief
Repeatable Battery and Stroop Test normative values with
age education and gender corrections in an Italian popu-
lation Mult Scler 200612787ndash793
2192 Neurology 80 June 11 2013
24 Courchesne E Chisum HJ Townsend J et al Normal brain
development and aging quantitative analysis at in vivo MR
imaging in healthy volunteers Radiology 2000216672ndash782
25 Mori E Hirono N Yamashita H et al Premorbid brain size
as a determinant of reserve capacity against intellectual decline
in Alzheimerrsquos disease Am J Psychiatry 199715418ndash24
26 Rabbitt P Mogapi O Scott M et al Effects of global atro-
phy white matter lesions and cerebral blood flow on age-
related changes in speed memory intelligence vocabulary
and frontal function Neuropsychology 200721684ndash695
27 Kramer JH Mungas D Reed BR et al Longitudinal MRI
and cognitive change in healthy elderly Neuropsychology
200721412ndash418
28 Edland SD Xu Y Plevak M et al Total intracranial vol-
ume normative values and lack of association with Alz-
heimerrsquos disease Neurology 200259272ndash274
29 Jenkins R Fox NC Rossor AM Harvey RJ Rossor MN
Intracranial volume and Alzheimer disease evidence against
the cerebral reserve hypothesis Arch Neurol 200057220ndash224
30 Tabert MH Manly JJ Liu X et al Neuropsychological
prediction of conversion to Alzheimer disease in patients
with mild cognitive impairment Arch Gen Psychiatry
200663916ndash924
31 Pedersen NL Plomin R Nesselroade JR McClearn GE A
quantitative genetic analysis of cognitive abilities during the
second half of the life span Psychol Sci 19923346ndash353
32 McClearn GE Johansson B Berg S et al Substantial
genetic influence on cognitive abilities in twins 80 or more
years old Science 19972761560ndash1563
33 Hillman CH Erickson KI Kramer AF Be smart exercise
your heart exercise effects on brain and cognition Nat
Rev Neurosci 2008958ndash65
34 Prakash RS Snook EM Motl RW Kramer AF Aerobic
fitness is associated with gray matter volume and white
matter integrity in multiple sclerosis Brain Res 2010
134141ndash51
35 Sullivan EV Pfefferbaum A Swan GE Carmelli D Her-
itability of hippocampal size in elderly twin men equiva-
lent influence from genes and environment Hippocampus
200111754ndash762
36 Maguire EA Gadian DG Johnsrude IS et al Navigation-
related structural change in the hippocampi of taxi drivers
Proc Natl Acad Sci USA 2000974398ndash4403
37 Draganski B Gaser C Kempermann G et al Temporal
and spatial dynamics of brain structure changes during
extensive learning J Neurosci 2006266314ndash6317
38 Greicius MD Supekar K Menon V Dougherty RF Rest-
ing-state functional connectivity reflects structural connec-
tivity in the default mode network Cereb Cortex 200919
72ndash78
39 Kim H A dual-subsystem model of the brainrsquos default
network self-referential processing memory retrieval pro-
cesses and autobiographical memory retrieval Neuro-
image 201261966ndash977
40 Sumowski JF Wylie GR Leavitt VM Chiaravalloti ND
Deluca J Default network activity is a sensitive and spe-
cific biomarker of memory in multiple sclerosis Mult Scler
201219199ndash208
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Neurology 80 June 11 2013 2193
DOI 101212WNL0b013e318296e98b2013802186-2193 Published Online before print May 10 2013Neurology
James F Sumowski Maria A Rocca Victoria M Leavitt et al you use it
Brain reserve and cognitive reserve in multiple sclerosis What youve got and how
This information is current as of May 10 2013
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e318296e98bDC1htmlhttpwwwneurologyorgcontentsuppl20130723WNL0b013Supplementary material can be found at
References
1httpwwwneurologyorgcontent80242186fullhtmlref-list-at This article cites 40 articles 21 of which you can access for free
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CORRECTIONBrain reserve and cognitive reserve in multiple sclerosis What yoursquove got and how you use it
In the article ldquoBrain reserve and cognitive reserve in multiple sclerosis What yoursquove got and how you use itrdquo by JF Sumowski et al (Neurologyreg
2013802186ndash2193) there is an error in figures 1 and 2 where the lines are switched The corrected figures are below The editorial staff regrets the error
Figure 1 Brain reserve protects against disease-relatedcognitive decline
Graphical depiction of (A) the positive correlation between intracra-nial volume (ICV) (brain reserve) and overall cognitive status and (B)the interaction between ICV and T2 lesion load (T2LL) wherebylarger ICV moderates the negative impact of T2LL on cognitivestatus
Figure 2 Cognitive reserve independently protectsagainst disease-related cognitive declineover and above brain reserve
Graphical depiction of (A) the positive correlation between early-lifecognitive leisure (cognitive reserve) and overall cognitive status and(B) the interaction between early-life cognitive leisure and T2 lesionload whereby greater engagement in cognitive leisure moderatesthe negative impact of T2 lesion load on cognitive status These re-sults demonstrate the independent protection afforded by cognitivereserve over and above brain reserve (intracranial volume)
604 copy 2013 American Academy of Neurology
against dementia5 Indeed educational attain-ment attenuates the effect of AD neuropathol-ogy on cognition1516 We have extended thecognitive reserve hypothesis toMS17ndash20 showingthat lifetime intellectual enrichment attenuatesthe effect of disease burden on cognition1719
Importantly brain reserve and cognitive reservehave been investigated separately so it remainsunclear whether enriching life experiences pro-tect against cognitive decline independently ofgenetically determined MLBV Given the mod-erate but robust correlation between brainreserve and cognitive reserve (brain size andintelligence21) it is unknown whether theprotective effect of enriching experiences isexplained through concomitantly higher brainreserve Herein we investigate whether early-lifecognitive leisure (source of cognitive reserve)independently protects against cognitive impair-ment over and above MLBV (brain reserve) inpatients with MS
METHODS Subject enrollment Subjects were 62 patients
with definite MS22 (30 women) without an exacerbation in the
last 4 weeks no current corticosteroid use and no history of
serious psychiatric illness substance abuse learning disability
or other neurologic condition Mean age was 437 6 111 years
with 131 6 34 years of education Given that a) patients retro-
spectively reported cognitive leisure from their early 20s and b)
we wanted formal education completed before participation all
patients were at least 25 years old Mean disease duration was
132 6 69 years with a mean Expanded Disability Status Scale
score of 32 6 21 MS phenotypes included relapsing-remitting
(n 5 41) and secondary progressive (n 5 21) Current disease-
modifying drug treatments included interferon b-1a (n 5 26) or
interferon b-1b (n5 4) glatiramer acetate (n5 19) azathioprine
(n 5 3) cyclophosphamide (n 5 2) natalizumab (n 5 2)
mitoxantrone (n 5 1) or no treatment (n 5 5)
Standard protocol approvals registrations and patientconsents Approval was received from the local ethical standards
committee on human experimentation and written informed
consent was obtained from all subjects participating in the study
Cognitive functioning Cognitive inefficiency and memory
problems are the most prevalent cognitive deficits among patients
with MS1 Cognitive efficiency was measured with the Symbol
Digit Modalities Test (oral version) and the Paced Auditory Serial
Addition Task (3-second version) Norm-referenced z scores werecalculated for both tasks23 and the mean of these z scores com-
prised our cognitive efficiency composite Memory was assessed
with the Selective Reminding Test and Spatial Recall Test
Norm-referenced z scores were calculated for the Selective Re-
minding Test (Total Learning Delayed Recall) and Spatial Recall
Test (Total Learning Delayed Recall)23 and the mean of these zscores comprised our memory composite A norm-referenced
overall cognitive status score was derived as the mean of cognitiveefficiency and memory composites Analyses first investigated the
impact of brain reserve and cognitive reserve on overall cognitivestatus and then separately for cognitive efficiency and memory
Lesion load and brain atrophy Using a 30-tesla Philips Interascanner (Philips Healthcare Guildford UK) the following brain
sequences were acquired a) dual-echo turbo spin echo (repetition
timeecho time 5 350024ndash120 milliseconds fractional anisot-
ropy5 150deg field of view5 240mm2 matrix5 2563 256 echo
train length 5 5 44 contiguous 3-mm-thick axial slices) and b)
3-dimensional T1-weighted fast field echo (repetition time 5
25 milliseconds echo time 5 46 milliseconds fractional anisot-
ropy 5 30deg field of view 5 230 mm2 matrix 5 256 3 256
slice thickness 5 1 mm 220 contiguous axial slices in-plane res-
olution 5 089 3 089 mm2) T2 lesion load was measured on
dual-echo scans using a local thresholding segmentation technique
(Jim 50 Xinapse System wwwxinapsecom) Brain atrophy
was measured as normalized volumes of gray matter (GM) and
white matter (WM) obtained using SIENAX (version 26 part
of FSL 41) whereas normalized volumes of the thalamus and
hippocampus were obtained using FIRST then applying the
same scaling factor calculated with SIENAX To correct for the
misclassification of WM lesions all pixels classified as GM but
lying neither in the cortical GM nor in the subcortical GM were
reassigned to the WM before volume calculation The scaling
factor within SIENAX is derived from the transformation that
matches the extracted brain and skull to standard-space brain and
skull images (derived from the MNI152 standard image) values
higher than one were obtained for heads with small ICV and values
lower than one for ICVs larger than theMNI atlas An advantage of
this approach is that it does not require that CSF be robustly
estimated as it is difficult to distinguish between CSF and skull
voxels in T images Lesion load and brain atrophy were used as
estimates of MS disease burden in subsequent analyses
Estimate of brain reserve ICV ICV is an estimate of MLBV
as brain growth corresponds to increased ICV during develop-
ment24 and ICV is strongly correlated with brain size in healthy
persons (eg r 5 08625) ICV has been used as an estimate of
brain reserve in previous research (eg references 6 and 9) The
aforementioned scaling factor within SIENAX is a measurement
of ICV however we reversed the direction of values such that
larger values represent larger ICVs (for ease of presentation)
Given that men have larger ICVs than women as in our sample
(t[60] 5 562 p 0001) we adjusted ICV measurements for
sex The brain reserve hypothesis states that persons with higher
brain reserve withstand more severe disease burden before expe-
riencing cognitive decline not that higher brain reserve slows
disease progression As expected therefore there was no relation-
ship between ICV and disease duration (r52002 p5 088) or
T2 lesion load (r 5 008 p 5 055) nor was there a difference
between disease phenotypes (t[60] 5 081 p 5 041)
Estimate of cognitive reserve Cognitive leisure activityAs described previously20 patients were surveyed to quantify par-
ticipation in 7 cognitive leisure activities during their early 20s
(table 1) Frequency of participation in each activity was endorsed
as 1) once or less per year 2) several times per year 3) several
times per month 4) several times per week or 5) daily Total
frequency across items was our estimate of early-life cognitive
leisure (mean 5 188 6 57) This score was interpolated for
patients missing 1 (n 5 3) or 2 (n 5 4) items There was no
difference in leisure frequency between our sample and a larger
independent matched pilot sample of 124 patients with MS aged
25 years or older (table 1) indicating that early-life cognitive
leisure within our sample was representative of MS patients gen-
erally We have previously shown no difference between item
endorsement between patients with MS and healthy persons
indicating that cognitive leisure was unaffected by preclinical
Neurology 80 June 11 2013 2187
disease20 The cognitive reserve hypothesis states that lifetime
enrichment helps patients better withstand disease without cog-
nitive impairment not that enriching lifestyles slow disease pro-
gression As expected therefore there was no relationship
between cognitive leisure and disease duration (r 5 014 p 5
028) or T2 lesion load (r 5 2006 p 5 067) nor was there a
difference between disease phenotypes (t[60] 5 061 p 5 055)
Statistical analyses Brain reserveWe performed a hierarchical
regression to investigate the protective effect of brain reserve on
overall cognitive status After controlling for age sex and pheno-
type (block 1) estimates of disease burden (T2 lesion load brain
atrophy normalized volumes of cerebral GM cerebral WM thal-
amus and hippocampus) were entered in a stepwise fashion (block
2) ICV was entered within block 3 to test whether MLBV predicts
cognitive status (Stepwise entry of disease burden estimates within
block 2 allowed us to assess the contribution of brain reserve over
and above the estimate of disease burden most associated with cog-
nitive status) Finally the interaction between ICV and disease bur-
den (estimate retained within block 2) was evaluated in block 4 If
brain reserve protects against cognitive decline there should be an
interaction between ICV and disease burden such that greater ICV
moderatesattenuates the deleterious impact of disease burden on
cognitive status This hierarchical regression was repeated to predict
cognitive efficiency and memory separately
Cognitive reserve We then investigated whether cognitive
reserve independently protects against disease-related cognitive
decline even after controlling for brain reserve A hierarchical
regression was again performed to predict overall cognitive status
After controlling for the previous brain reserve analysis (block 1)
education (block 2) and early-life cognitive leisure (block 3) were
entered followed by the interaction between disease burden and
cognitive leisure (block 4) If cognitive reserve independently pro-
tects against disease-related cognitive decline there will be an
interaction whereby greater cognitive leisure moderatesattenu-
ates the deleterious impact of disease burden on cognitive status
This hierarchical regression was repeated to predict cognitive effi-
ciency and memory separately
RESULTS Brain reserve The results for brain reserveanalyses are presented in table 2
Overall cognitive status After controlling for age sexand phenotype (block 1) T2 lesion load (the onlyestimate of disease burden retained) was negativelyassociated with cognitive status (block 2) There wasa medium-sized positive relationship between ICVand cognitive status (block 3) such that patients withlarger ICVs had better cognitive status (figure 1A)
Table 1 Means and SDs for the current sample and matched pilot sample on each of the 7 cognitive leisureactivities as well as the total cognitive leisure scorea
Cognitive leisure activitiesPilot sample (n 5 124)b
mean 6 SDSample (n 5 62)mean 6 SD
Differencep values
Read books 31 6 14 32 6 15 080
Read magazines or newspapers 39 6 12 38 6 14 062
Produce art (eg painting poetrysculpture song writing ballet)
25 6 13 22 6 13 024
Produce nonartistic writing (eg diarynewsletter essay blog)
23 6 13 23 6 15 080
Play a musical instrument 21 6 14 20 6 15 054
Play structured games (eg cardsboard games crossword puzzles)
28 6 12 27 6 11 067
Participate in hobbies (eg gardeningmodel building Web design)
25 6 14 26 6 13 059
Total cognitive leisure activity 190 6 48 187 6 56 071
aThere were no differences between the current sample and the larger pilot sample on any itemsb The pilot sample did not differ in age (420 6 103 years p 5 029) disease duration (132 6 84 years p 5 097)education (136 6 32 years p 5 036) or Expanded Disability Status Scale score (31 6 19 p 5 070) There was amarginally higher proportion of women (605 p 5 0076) and patients with relapsing-remitting multiple sclerosis(782 p 5 0076) within the pilot sample
Table 2 Results for the hierarchical regression analyses investigating the protective effect of brain reserve(ICV) on overall cognitive status cognitive efficiency and memory
Overall cognitive status Cognitive efficiency Memory
ΔR2 p Value ΔR2 p Value ΔR2 p Value
Age sex phenotype 0236 0001 0203 0004 0180 0009
T2LL 0089 0008 0040 0090 0119 0003
ICV 0066 0017 0100 0005 0012 0335
T2LL 3 ICV 0050 0030 0087 0005 0005 0528
Abbreviations ICV 5 intracranial volume T2LL 5 T2 lesion load
2188 Neurology 80 June 11 2013
The interaction between ICV and disease burden (T2lesion load) was also significant (block 4) such thatgreater ICV moderatedattenuated the negativeimpact of disease burden (T2 lesion load) on cogni-tive status (figure 1B)
Cognitive efficiency and memory There was a largepositive relationship between ICV and cognitive effi-ciency (block 3) such that patients with larger ICVsshowed better cognitive efficiency There was also aninteraction whereby greater ICV moderatedattenu-ated the negative impact of T2 lesion load on cogni-tive efficiency In contrast there was no relationshipbetween ICV and memory (block 3) nor was theinteraction significant (block 4) Brain reserve pro-tected against disease-related cognitive inefficiencynot memory problems
Cognitive reserve The results of cognitive reserve anal-yses are presented in table 3
Overall cognitive status After accounting for thebrain reserve analysis (block 1 age sex phenotypeT2 lesion load ICV ICV 3 T2 lesion load) therewas a positive relationship between cognitive statusand education (block 2) There was also a large inde-pendent positive relationship between cognitive lei-sure and cognitive status (block 3) such that patientswho engaged in more early-life cognitive leisure hadbetter cognitive status (figure 2A) The interactionbetween T2 lesion load and cognitive leisure was sig-nificant (block 4) with greater cognitive leisure mod-eratingattenuating the negative impact of T2 lesionload on cognitive status (figure 2B)
Cognitive efficiency and memory Cognitive efficiencywas unrelated to education (block 2) but positivelyrelated to cognitive leisure (block 3) The interactionbetween T2 lesion load and cognitive leisure on cog-nitive efficiency was small and nonsignificant (block4) Memory was strongly and positively related toboth education (block 2) and cognitive leisure (block3) and there was a significant small- to medium-sizedinteraction between T2 lesion load and cognitive lei-sure (block 4) such that greater cognitive leisure mod-eratedattenuated the negative impact of T2 lesionload on memory In summary cognitive leisure inde-pendently contributed to both cognitive efficiencyand memory over and above brain reserve but theinteraction between cognitive leisure and disease bur-den was only significant for memory The cognitive
Figure 1 Brain reserve protects against disease-related cognitive decline
Graphical depiction of (A) the positive correlation between intracranial volume (ICV) (brain reserve)and overall cognitive status and (B) the interaction between ICV and T2 lesion load (T2LL)whereby larger ICV moderates the negative impact of T2LL on cognitive status
Table 3 Results for the hierarchical regression analyses investigating the independent protective effect ofcognitive reserve (leisure) on overall cognitive status cognitive efficiency and memory
Overall cognitive status Cognitive efficiency Memory
ΔR2 p Value ΔR2 p Value ΔR2 p Value
BR analysis 0441 0001 0368 0001 0315 0001
Education 0047 0030 0012 0278 0086 0007
Leisure 0090 0001 0061 0014 0083 0005
T2LL 3 leisure 0037 0030 0021 0136 0040 0042
Abbreviations BR 5 brain reserve T2LL 5 T2 lesion load
Neurology 80 June 11 2013 2189
reserve hypothesis was upheld for memory but less sofor cognitive efficiency
Supplemental analyses We entered brain reserve intoregression models before cognitive reserve as MLBVis established before education and leisure Given acorrelation between education and ICV (r 5 025p 5 005) we examined whether the relationshipbetween brain reserve (ICV) and cognitive efficiencyis explained by the relationship between educationand ICV We reran the brain reserve regression pre-dicting cognitive efficacy now controlling for educa-tion in block 1 (before ICV) The main effect of ICV(ΔR2 5 0064 p 5 0022) and the ICV 3 T2 lesionload interaction (ΔR2 5 0075 p5 0009) remainedindicating that brain reserve provides independentprotection from cognitive inefficiency over and above
education Although there was no link between ICVand leisure (r 5 003 p 5 084) to be thorough wereran the regression analysis controlling for educationand leisure (block 1) There were relatively nochanges to the effect of ICV (ΔR2 5 0067 p 5
0014) or the ICV 3 T2 lesion load interaction(ΔR2 5 0067 p 5 0010) Similar to educationpremorbid intelligence is a common proxy of cogni-tive reserve and correlated with maximal lifetimebrain size21 Verbal intelligence (an estimate of pre-morbid intelligence) was only available for a subsam-ple of patients (n 5 36) but was strongly correlatedwith education (r5 062 p 0001) indicating thatthey measure similar constructs Note that verbalintelligence was only weakly related to cognitive lei-sure (r5 016 p5 0350) so the protective effects ofcognitive leisure reported herein are not explained byhigher intelligence
Consistent with the MS population half of oursample was diagnosed with MS before age 30 As suchfor some patients cognitive leisure was performed afterdisease onset We investigated whether the protectiveeffect of cognitive leisure differed based on age of diag-nosis A cognitive leisure 3 disease burden (T2 lesionload) 3 age at diagnosis interaction term (controllingfor 2-way interactions) was not significant for modelspredicting overall cognitive status (ΔR2 5 0011 p 50217) cognitive efficiency (ΔR25 0008 p5 0361)or memory (ΔR2 5 0010 p 5 0300) That is theprotective effect of cognitive leisure did not differ basedon age of diagnosis
DISCUSSION Larger MLBV moderatedattenuatedthe negative impact of disease burden on cognitive sta-tus thereby supporting the brain reserve hypothesis inMS Given the moderate but robust correlation betweenestimates of cognitive reserve and brain reserve21 theprotective effect of higher cognitive reserve in previousresearch may be partially or fully explained by concom-itantly higher brain reserve Our results demonstratethat early-life intellectual enrichment (cognitive reserve)protects patients from disease-related cognitive impair-ment independently of MLBV (brain reserve) therebysupporting the independent role of enriching experien-ces in protecting against cognitive decline
Brain reserve protected against cognitive ineffi-ciency not memory decline This may seem inconsis-tent with the agingAD literature linking larger headsize or ICV to better cognition in elders6ndash10 and lowerrisk of dementia1112 however closer examination ofthese agingAD studies confirms that larger head sizeor ICV predicts cognitive efficiency not memory689
Furthermore longitudinal studies link age-relatedbrain atrophy to declines in cognitive efficiency notmemory2627 Other agingAD studies link larger ICVor head size to better Mini-Mental State Examination
Figure 2 Cognitive reserve independently protects against disease-relatedcognitive decline over and above brain reserve
Graphical depiction of (A) the positive correlation between early-life cognitive leisure (cogni-tive reserve) and overall cognitive status and (B) the interaction between early-life cognitiveleisure and T2 lesion load whereby greater engagement in cognitive leisure moderates thenegative impact of T2 lesion load on cognitive status These results demonstrate the inde-pendent protection afforded by cognitive reserve over and above brain reserve (intracranialvolume)
2190 Neurology 80 June 11 2013
scores710 but the Mini-Mental State Examinationmakes minimal memory demands Finally somestudies show that larger head size protects againstdementia1112 but other studies do not2829 Althoughmemory impairment is the hallmark of dementia allelders with dementia also have a decline in nonme-mory cognition It is conceivable that higher brainreserve protects against nonmemory cognitive declineassociated with conversion from amnestic mild cog-nitive impairment to dementia Indeed cognitiveinefficiency is among the best predictors of conver-sion from mild cognitive impairment to dementia30
In summary the agingAD literature appears to belargely consistent with our finding that brain reserveis protective against declines in cognitive efficiencynot memory
The specific link between brain reserve and cogni-tive efficiency is consistent with the strong heritabilityof both MLBV1314 and cognitive efficiency (muchmore than memory)3132 Strong heritability may con-traindicate rehabilitation efforts to bolster brainreserve and cognitive efficiency However rather thanbuilding brain reserve persons may be able to pre-serve their remaining brain reserve (and protect cog-nitive efficiency) through effective disease-modifyingtherapies (which may slow brain volume loss) and bymaintaining a ldquobrain healthyrdquo lifestyle (eg aerobicexercise) Indeed cardiorespiratory fitness is posi-tively correlated with brain volume and cognitive effi-ciency in healthy persons33 and patients withMS34 Incontrast to brain reserve cognitive reserve is devel-oped through enriching life experiences The strongerprotective impact of life experience on memory rela-tive to cognitive efficiency in the current study isconsistent with lower heritability of memory relativeto cognitive efficiency3132 which is further alignedwith lower heritability of hippocampal volume (esti-mated genetic variance 5 040) relative to ICV(081)35 That is 60 of the variance in hippocampalvolume seems to be attributable to environmentalfactors (relative to 19 for ICV) Indeed enrichingcognitive experiences may have a positive impact onhippocampal volume in humans3637
Cognitive reserve may protect against cognitivedecline through superioroptimal neurocognitive pro-cessing5 Consistent with this notion functional MRIresearch has revealed differences in cerebral processingamong patients withMSwho have greater lifetime intel-lectual enrichment including greater activation (orlesser deactivation) within the brainrsquos default network18
The default network consists largely of limbic structuresincluding the hippocampus38 and has been implicatedin memory39 We have subsequently demonstrated thatdefault network activity during functional MRI predictsperformance on neuropsychological tasks of memory(but not cognitive efficiency) on a separate day40 These
links among cognitive reserve default network activityandmemory are consistent with our current finding thatcognitive reserve is specifically protective against mem-ory decline however future research should moredirectly investigate whether differences in default net-work activity mediate the relationship between intellec-tual enrichment and memory Although the currentstudy provides less support for the role of intellectualenrichment in protection against cognitive inefficiencythere was a positive correlation between cognitive leisureand cognitive efficiency We have previously shown thathigher cognitive reserve protects against cognitive inef-ficiency in MS17 although we did not control for brainreserve in that study Taken together the protectiveimpact of cognitive reserve appears to be more pro-nounced for memory than for cognitive efficiency atleast for patients with MS
Given that larger MLBV (estimated with ICV)protects against disease-related cognitive inefficiencyin MS clinical consideration of patient ICV mayimprove identification of patients at risk for cognitiveimpairment and efforts to maintain cardiorespiratoryfitness may help preserve brain reserve and cognitiveefficiency As discussed the specific link betweenbrain reserve and cognitive efficiency (not memory)in this study is consistent with results from agingstudies and should be further explored in agingAD and other neurologic populations The currentstudy also demonstrates that a cognitively enrichinglifestyle (a source of cognitive reserve) independentlyprotects against cognitive impairment (especiallymemory decline) over and above brain reserve Thisis critical because estimates of cognitive reserve andbrain reserve are correlated and the protective effectsof higher cognitive reserve in previous research mayhave been at least partially attributable to concomi-tantly higher brain reserve Our finding that early-lifecognitive leisure protects against memory declinemore than cognitive inefficiency is consistent withlower heritability of memory and hippocampal vol-ume relative to cognitive efficiency and ICV Cogni-tive rehabilitation efforts targeting memory in MSstand to be most beneficial as the hippocampus ismore affected by experience than other brain regionsFuture prospective andor experimental studiesshould investigate whether intellectual enrichment isassociated with largerincreased hippocampal volume(or lesserreduced hippocampal atrophy) in patientswith MS Finally the positive link between intellec-tual enrichment and cognition in the current and pre-vious studies is observational and cognitive leisureactivity is almost always sampled from a period beforedisease onset Longitudinal research is needed toinvestigate whether cognitive leisure moderatesdecline within MS patients as disease progressesand randomized controlled trials of intellectual
Neurology 80 June 11 2013 2191
enrichment are required to establish a causal linkbetween enrichment and protection from disease-related cognitive decline in patients already diagnosedwith MS Such evidence is needed to support a pre-scription of intellectual enrichment as a therapeuticintervention to minimize or prevent disease-relatedcognitive decline
AUTHOR CONTRIBUTIONSJames F Sumowski PhD drafted the manuscript for content contrib-
uted to the study concept and design and analysisinterpretation of the
data and performed statistical analyses Maria A Rocca MD assisted
in drafting the manuscript for content and analysisinterpretation of data
as well as acquisition of data and study supervisioncoordination Victoria
M Leavitt PhD assisted in drafting the manuscript for content and con-
tributed to the interpretation of the data Gianna Riccitelli PhD assisted
in the analysis of data and acquisition of data Giancarlo Comi MD
assisted with interpretation of the data John DeLuca PhD assisted in
drafting the manuscript for content Massimo Filippi MD assisted in
drafting the manuscript for content and interpretation of data as well
as acquisition of data study supervision and obtaining funding
STUDY FUNDINGThis project was funded in part by the NIH (R00HD060765 to JFS)
DISCLOSUREJF Sumowski reports no disclosures MA Rocca received speakersrsquo
honoraria from Biogen Idec and Serono Symposia International Founda-
tion and receives research support from the Italian Ministry of Health
and Fondazione Italiana Sclerosi Multipla VM Leavitt and G Riccitelli
report no disclosures G Comi has received personal compensation for
activities with Teva Neuroscience Merck Serono Bayer Schering No-
vartis Sanofi-Aventis Pharmaceuticals and Biogen-Dompeacute as a consul-
tant speaker or scientific advisory board member J DeLuca received
salary support through compensation to the Kessler Foundation Research
Center from Biogen-Idec He is also a consultant for Biogen M Filippi
serves on scientific advisory boards for Teva Pharmaceutical Industries
Ltd and Genmab AS has received funding for travel from Bayer Scher-
ing Pharma Biogen-Dompeacute Genmab AS Merck Serono and Teva
Pharmaceutical Industries Ltd serves as a consultant to Bayer Schering
Pharma Biogen-Dompeacute Genmab AS Merck Serono and Teva Phar-
maceutical Industries Ltd serves on speakersrsquo bureaus for Bayer Schering
Pharma Biogen-Dompeacute Genmab AS Merck Serono and Teva Phar-
maceutical Industries Ltd and receives research support from Bayer
Schering Pharma Biogen-Dompeacute Genmab AS Merck Serono Teva
Pharmaceutical Industries Ltd and Fondazione Italiana Sclerosi Multi-
pla Go to Neurologyorg for full disclosures
Received November 13 2012 Accepted in final form March 7 2013
REFERENCES1 Chiaravalloti ND DeLuca J Cognitive impairment in
multiple sclerosis Lancet Neurol 200871139ndash1151
2 Filippi M Rocca MA Benedict RH et al The contribu-
tion of MRI in assessing cognitive impairment in multiple
sclerosis Neurology 2010752121ndash2128
3 Bennett DA Schneider JA Arvanitakis Z et al Neuropathol-
ogy of older persons without cognitive impairment from two
community-based studies Neurology 2006661837ndash1844
4 Satz P Brain reserve capacity on symptom onset after
brain injury a formulation and review of evidence for
threshold theory Neuropsychology 19937273ndash295
5 Stern Y What is cognitive reserve Theory and research
application of the reserve concept J Int Neuropsychol Soc
20028448ndash460
6 MacLullich AM Ferguson KJ Deary IJ Seckl JR
Starr JM Wardlaw JM Intracranial capacity and brain
volumes are associated with cognition in healthy elderly
men Neurology 200259169ndash174
7 Reynolds MD Dodge HH DeKosky ST Ganguli M
Small head size is related to low Mini-Mental State Exam-
ination scores in a community sample of nondemented
older adults Neurology 199953228ndash229
8 Tisserand DJ Bosma H Van Boxtel MP Jolles J Head
size and cognitive ability in nondemented older adults are
related Neurology 200156969ndash971
9 Farias ST Mungas D Reed B et al Maximal brain size
remains an important predictor of cognition in old age
independent of current brain pathology Neurobiol Aging
2012331758ndash1768
10 Perneczky R Wagenpfeil S Lunetta KL et al Head cir-
cumference atrophy and cognition implications for brain
reserve in Alzheimer disease Neurology 201075137ndash142
11 Schofield PW Logroscino G Andrews HF Albert S
Stern Y An association between head circumference and
Alzheimerrsquos disease in a population-based study of aging
and dementia Neurology 19974930ndash37
12 Borenstein Graves A Mortimer JA Bowen JD et al Head
circumference and incident Alzheimerrsquos disease modifica-
tion by apolipoprotein E Neurology 2001571453ndash1460
13 Bartley AJ Jones DW Weinberger DR Genetic variabil-
ity of human brain size and cortical gyral patterns Brain
1997120(pt 2)257ndash269
14 Tramo MJ Loftus WC Stukel TA Green RL Weaver JB
Gazzaniga MS Brain size head size and intelligence quo-
tient in monozygotic twins Neurology 1998501246ndash1252
15 Bennett DA Wilson RS Schneider JA et al Education
modifies the relation of AD pathology to level of cognitive
function in older persons Neurology 2003601909ndash1915
16 Roe CM Mintun MA DrsquoAngelo G Xiong C Grant EA
Morris JC Alzheimer disease and cognitive reserve varia-
tion of education effect with carbon 11-labeled Pittsburgh
Compound B uptake Arch Neurol 2008651467ndash1471
17 Sumowski JF Chiaravalloti N Wylie G Deluca J Cog-
nitive reserve moderates the negative effect of brain atro-
phy on cognitive efficiency in multiple sclerosis J Int
Neuropsychol Soc 200915606ndash612
18 Sumowski JF Wylie GR Deluca J Chiaravalloti N Intel-
lectual enrichment is linked to cerebral efficiency in mul-
tiple sclerosis functional magnetic resonance imaging
evidence for cognitive reserve Brain 2010133362ndash374
19 Sumowski JF Wylie GR Chiaravalloti N DeLuca J
Intellectual enrichment lessens the effect of brain atrophy
on learning and memory in multiple sclerosis Neurology
2010741942ndash1945
20 Sumowski JF Wylie GR Gonnella A Chiaravalloti N
Deluca J Premorbid cognitive leisure independently con-
tributes to cognitive reserve in multiple sclerosis Neurology
2010751428ndash1431
21 Deary IJ Penke L Johnson W The neuroscience of
human intelligence differences Nat Rev Neurosci 2010
11201ndash211
22 Polman CH Reingold SC Banwell B et al Diagnostic cri-
teria for multiple sclerosis 2010 revisions to the McDonald
criteria Ann Neurol 201169292ndash302
23 Amato MP Portaccio E Goretti B et al The Raorsquos Brief
Repeatable Battery and Stroop Test normative values with
age education and gender corrections in an Italian popu-
lation Mult Scler 200612787ndash793
2192 Neurology 80 June 11 2013
24 Courchesne E Chisum HJ Townsend J et al Normal brain
development and aging quantitative analysis at in vivo MR
imaging in healthy volunteers Radiology 2000216672ndash782
25 Mori E Hirono N Yamashita H et al Premorbid brain size
as a determinant of reserve capacity against intellectual decline
in Alzheimerrsquos disease Am J Psychiatry 199715418ndash24
26 Rabbitt P Mogapi O Scott M et al Effects of global atro-
phy white matter lesions and cerebral blood flow on age-
related changes in speed memory intelligence vocabulary
and frontal function Neuropsychology 200721684ndash695
27 Kramer JH Mungas D Reed BR et al Longitudinal MRI
and cognitive change in healthy elderly Neuropsychology
200721412ndash418
28 Edland SD Xu Y Plevak M et al Total intracranial vol-
ume normative values and lack of association with Alz-
heimerrsquos disease Neurology 200259272ndash274
29 Jenkins R Fox NC Rossor AM Harvey RJ Rossor MN
Intracranial volume and Alzheimer disease evidence against
the cerebral reserve hypothesis Arch Neurol 200057220ndash224
30 Tabert MH Manly JJ Liu X et al Neuropsychological
prediction of conversion to Alzheimer disease in patients
with mild cognitive impairment Arch Gen Psychiatry
200663916ndash924
31 Pedersen NL Plomin R Nesselroade JR McClearn GE A
quantitative genetic analysis of cognitive abilities during the
second half of the life span Psychol Sci 19923346ndash353
32 McClearn GE Johansson B Berg S et al Substantial
genetic influence on cognitive abilities in twins 80 or more
years old Science 19972761560ndash1563
33 Hillman CH Erickson KI Kramer AF Be smart exercise
your heart exercise effects on brain and cognition Nat
Rev Neurosci 2008958ndash65
34 Prakash RS Snook EM Motl RW Kramer AF Aerobic
fitness is associated with gray matter volume and white
matter integrity in multiple sclerosis Brain Res 2010
134141ndash51
35 Sullivan EV Pfefferbaum A Swan GE Carmelli D Her-
itability of hippocampal size in elderly twin men equiva-
lent influence from genes and environment Hippocampus
200111754ndash762
36 Maguire EA Gadian DG Johnsrude IS et al Navigation-
related structural change in the hippocampi of taxi drivers
Proc Natl Acad Sci USA 2000974398ndash4403
37 Draganski B Gaser C Kempermann G et al Temporal
and spatial dynamics of brain structure changes during
extensive learning J Neurosci 2006266314ndash6317
38 Greicius MD Supekar K Menon V Dougherty RF Rest-
ing-state functional connectivity reflects structural connec-
tivity in the default mode network Cereb Cortex 200919
72ndash78
39 Kim H A dual-subsystem model of the brainrsquos default
network self-referential processing memory retrieval pro-
cesses and autobiographical memory retrieval Neuro-
image 201261966ndash977
40 Sumowski JF Wylie GR Leavitt VM Chiaravalloti ND
Deluca J Default network activity is a sensitive and spe-
cific biomarker of memory in multiple sclerosis Mult Scler
201219199ndash208
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Neurology 80 June 11 2013 2193
DOI 101212WNL0b013e318296e98b2013802186-2193 Published Online before print May 10 2013Neurology
James F Sumowski Maria A Rocca Victoria M Leavitt et al you use it
Brain reserve and cognitive reserve in multiple sclerosis What youve got and how
This information is current as of May 10 2013
ServicesUpdated Information amp
httpwwwneurologyorgcontent80242186fullhtmlincluding high resolution figures can be found at
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e318296e98bDC1htmlhttpwwwneurologyorgcontentsuppl20130723WNL0b013Supplementary material can be found at
References
1httpwwwneurologyorgcontent80242186fullhtmlref-list-at This article cites 40 articles 21 of which you can access for free
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CORRECTIONBrain reserve and cognitive reserve in multiple sclerosis What yoursquove got and how you use it
In the article ldquoBrain reserve and cognitive reserve in multiple sclerosis What yoursquove got and how you use itrdquo by JF Sumowski et al (Neurologyreg
2013802186ndash2193) there is an error in figures 1 and 2 where the lines are switched The corrected figures are below The editorial staff regrets the error
Figure 1 Brain reserve protects against disease-relatedcognitive decline
Graphical depiction of (A) the positive correlation between intracra-nial volume (ICV) (brain reserve) and overall cognitive status and (B)the interaction between ICV and T2 lesion load (T2LL) wherebylarger ICV moderates the negative impact of T2LL on cognitivestatus
Figure 2 Cognitive reserve independently protectsagainst disease-related cognitive declineover and above brain reserve
Graphical depiction of (A) the positive correlation between early-lifecognitive leisure (cognitive reserve) and overall cognitive status and(B) the interaction between early-life cognitive leisure and T2 lesionload whereby greater engagement in cognitive leisure moderatesthe negative impact of T2 lesion load on cognitive status These re-sults demonstrate the independent protection afforded by cognitivereserve over and above brain reserve (intracranial volume)
604 copy 2013 American Academy of Neurology
disease20 The cognitive reserve hypothesis states that lifetime
enrichment helps patients better withstand disease without cog-
nitive impairment not that enriching lifestyles slow disease pro-
gression As expected therefore there was no relationship
between cognitive leisure and disease duration (r 5 014 p 5
028) or T2 lesion load (r 5 2006 p 5 067) nor was there a
difference between disease phenotypes (t[60] 5 061 p 5 055)
Statistical analyses Brain reserveWe performed a hierarchical
regression to investigate the protective effect of brain reserve on
overall cognitive status After controlling for age sex and pheno-
type (block 1) estimates of disease burden (T2 lesion load brain
atrophy normalized volumes of cerebral GM cerebral WM thal-
amus and hippocampus) were entered in a stepwise fashion (block
2) ICV was entered within block 3 to test whether MLBV predicts
cognitive status (Stepwise entry of disease burden estimates within
block 2 allowed us to assess the contribution of brain reserve over
and above the estimate of disease burden most associated with cog-
nitive status) Finally the interaction between ICV and disease bur-
den (estimate retained within block 2) was evaluated in block 4 If
brain reserve protects against cognitive decline there should be an
interaction between ICV and disease burden such that greater ICV
moderatesattenuates the deleterious impact of disease burden on
cognitive status This hierarchical regression was repeated to predict
cognitive efficiency and memory separately
Cognitive reserve We then investigated whether cognitive
reserve independently protects against disease-related cognitive
decline even after controlling for brain reserve A hierarchical
regression was again performed to predict overall cognitive status
After controlling for the previous brain reserve analysis (block 1)
education (block 2) and early-life cognitive leisure (block 3) were
entered followed by the interaction between disease burden and
cognitive leisure (block 4) If cognitive reserve independently pro-
tects against disease-related cognitive decline there will be an
interaction whereby greater cognitive leisure moderatesattenu-
ates the deleterious impact of disease burden on cognitive status
This hierarchical regression was repeated to predict cognitive effi-
ciency and memory separately
RESULTS Brain reserve The results for brain reserveanalyses are presented in table 2
Overall cognitive status After controlling for age sexand phenotype (block 1) T2 lesion load (the onlyestimate of disease burden retained) was negativelyassociated with cognitive status (block 2) There wasa medium-sized positive relationship between ICVand cognitive status (block 3) such that patients withlarger ICVs had better cognitive status (figure 1A)
Table 1 Means and SDs for the current sample and matched pilot sample on each of the 7 cognitive leisureactivities as well as the total cognitive leisure scorea
Cognitive leisure activitiesPilot sample (n 5 124)b
mean 6 SDSample (n 5 62)mean 6 SD
Differencep values
Read books 31 6 14 32 6 15 080
Read magazines or newspapers 39 6 12 38 6 14 062
Produce art (eg painting poetrysculpture song writing ballet)
25 6 13 22 6 13 024
Produce nonartistic writing (eg diarynewsletter essay blog)
23 6 13 23 6 15 080
Play a musical instrument 21 6 14 20 6 15 054
Play structured games (eg cardsboard games crossword puzzles)
28 6 12 27 6 11 067
Participate in hobbies (eg gardeningmodel building Web design)
25 6 14 26 6 13 059
Total cognitive leisure activity 190 6 48 187 6 56 071
aThere were no differences between the current sample and the larger pilot sample on any itemsb The pilot sample did not differ in age (420 6 103 years p 5 029) disease duration (132 6 84 years p 5 097)education (136 6 32 years p 5 036) or Expanded Disability Status Scale score (31 6 19 p 5 070) There was amarginally higher proportion of women (605 p 5 0076) and patients with relapsing-remitting multiple sclerosis(782 p 5 0076) within the pilot sample
Table 2 Results for the hierarchical regression analyses investigating the protective effect of brain reserve(ICV) on overall cognitive status cognitive efficiency and memory
Overall cognitive status Cognitive efficiency Memory
ΔR2 p Value ΔR2 p Value ΔR2 p Value
Age sex phenotype 0236 0001 0203 0004 0180 0009
T2LL 0089 0008 0040 0090 0119 0003
ICV 0066 0017 0100 0005 0012 0335
T2LL 3 ICV 0050 0030 0087 0005 0005 0528
Abbreviations ICV 5 intracranial volume T2LL 5 T2 lesion load
2188 Neurology 80 June 11 2013
The interaction between ICV and disease burden (T2lesion load) was also significant (block 4) such thatgreater ICV moderatedattenuated the negativeimpact of disease burden (T2 lesion load) on cogni-tive status (figure 1B)
Cognitive efficiency and memory There was a largepositive relationship between ICV and cognitive effi-ciency (block 3) such that patients with larger ICVsshowed better cognitive efficiency There was also aninteraction whereby greater ICV moderatedattenu-ated the negative impact of T2 lesion load on cogni-tive efficiency In contrast there was no relationshipbetween ICV and memory (block 3) nor was theinteraction significant (block 4) Brain reserve pro-tected against disease-related cognitive inefficiencynot memory problems
Cognitive reserve The results of cognitive reserve anal-yses are presented in table 3
Overall cognitive status After accounting for thebrain reserve analysis (block 1 age sex phenotypeT2 lesion load ICV ICV 3 T2 lesion load) therewas a positive relationship between cognitive statusand education (block 2) There was also a large inde-pendent positive relationship between cognitive lei-sure and cognitive status (block 3) such that patientswho engaged in more early-life cognitive leisure hadbetter cognitive status (figure 2A) The interactionbetween T2 lesion load and cognitive leisure was sig-nificant (block 4) with greater cognitive leisure mod-eratingattenuating the negative impact of T2 lesionload on cognitive status (figure 2B)
Cognitive efficiency and memory Cognitive efficiencywas unrelated to education (block 2) but positivelyrelated to cognitive leisure (block 3) The interactionbetween T2 lesion load and cognitive leisure on cog-nitive efficiency was small and nonsignificant (block4) Memory was strongly and positively related toboth education (block 2) and cognitive leisure (block3) and there was a significant small- to medium-sizedinteraction between T2 lesion load and cognitive lei-sure (block 4) such that greater cognitive leisure mod-eratedattenuated the negative impact of T2 lesionload on memory In summary cognitive leisure inde-pendently contributed to both cognitive efficiencyand memory over and above brain reserve but theinteraction between cognitive leisure and disease bur-den was only significant for memory The cognitive
Figure 1 Brain reserve protects against disease-related cognitive decline
Graphical depiction of (A) the positive correlation between intracranial volume (ICV) (brain reserve)and overall cognitive status and (B) the interaction between ICV and T2 lesion load (T2LL)whereby larger ICV moderates the negative impact of T2LL on cognitive status
Table 3 Results for the hierarchical regression analyses investigating the independent protective effect ofcognitive reserve (leisure) on overall cognitive status cognitive efficiency and memory
Overall cognitive status Cognitive efficiency Memory
ΔR2 p Value ΔR2 p Value ΔR2 p Value
BR analysis 0441 0001 0368 0001 0315 0001
Education 0047 0030 0012 0278 0086 0007
Leisure 0090 0001 0061 0014 0083 0005
T2LL 3 leisure 0037 0030 0021 0136 0040 0042
Abbreviations BR 5 brain reserve T2LL 5 T2 lesion load
Neurology 80 June 11 2013 2189
reserve hypothesis was upheld for memory but less sofor cognitive efficiency
Supplemental analyses We entered brain reserve intoregression models before cognitive reserve as MLBVis established before education and leisure Given acorrelation between education and ICV (r 5 025p 5 005) we examined whether the relationshipbetween brain reserve (ICV) and cognitive efficiencyis explained by the relationship between educationand ICV We reran the brain reserve regression pre-dicting cognitive efficacy now controlling for educa-tion in block 1 (before ICV) The main effect of ICV(ΔR2 5 0064 p 5 0022) and the ICV 3 T2 lesionload interaction (ΔR2 5 0075 p5 0009) remainedindicating that brain reserve provides independentprotection from cognitive inefficiency over and above
education Although there was no link between ICVand leisure (r 5 003 p 5 084) to be thorough wereran the regression analysis controlling for educationand leisure (block 1) There were relatively nochanges to the effect of ICV (ΔR2 5 0067 p 5
0014) or the ICV 3 T2 lesion load interaction(ΔR2 5 0067 p 5 0010) Similar to educationpremorbid intelligence is a common proxy of cogni-tive reserve and correlated with maximal lifetimebrain size21 Verbal intelligence (an estimate of pre-morbid intelligence) was only available for a subsam-ple of patients (n 5 36) but was strongly correlatedwith education (r5 062 p 0001) indicating thatthey measure similar constructs Note that verbalintelligence was only weakly related to cognitive lei-sure (r5 016 p5 0350) so the protective effects ofcognitive leisure reported herein are not explained byhigher intelligence
Consistent with the MS population half of oursample was diagnosed with MS before age 30 As suchfor some patients cognitive leisure was performed afterdisease onset We investigated whether the protectiveeffect of cognitive leisure differed based on age of diag-nosis A cognitive leisure 3 disease burden (T2 lesionload) 3 age at diagnosis interaction term (controllingfor 2-way interactions) was not significant for modelspredicting overall cognitive status (ΔR2 5 0011 p 50217) cognitive efficiency (ΔR25 0008 p5 0361)or memory (ΔR2 5 0010 p 5 0300) That is theprotective effect of cognitive leisure did not differ basedon age of diagnosis
DISCUSSION Larger MLBV moderatedattenuatedthe negative impact of disease burden on cognitive sta-tus thereby supporting the brain reserve hypothesis inMS Given the moderate but robust correlation betweenestimates of cognitive reserve and brain reserve21 theprotective effect of higher cognitive reserve in previousresearch may be partially or fully explained by concom-itantly higher brain reserve Our results demonstratethat early-life intellectual enrichment (cognitive reserve)protects patients from disease-related cognitive impair-ment independently of MLBV (brain reserve) therebysupporting the independent role of enriching experien-ces in protecting against cognitive decline
Brain reserve protected against cognitive ineffi-ciency not memory decline This may seem inconsis-tent with the agingAD literature linking larger headsize or ICV to better cognition in elders6ndash10 and lowerrisk of dementia1112 however closer examination ofthese agingAD studies confirms that larger head sizeor ICV predicts cognitive efficiency not memory689
Furthermore longitudinal studies link age-relatedbrain atrophy to declines in cognitive efficiency notmemory2627 Other agingAD studies link larger ICVor head size to better Mini-Mental State Examination
Figure 2 Cognitive reserve independently protects against disease-relatedcognitive decline over and above brain reserve
Graphical depiction of (A) the positive correlation between early-life cognitive leisure (cogni-tive reserve) and overall cognitive status and (B) the interaction between early-life cognitiveleisure and T2 lesion load whereby greater engagement in cognitive leisure moderates thenegative impact of T2 lesion load on cognitive status These results demonstrate the inde-pendent protection afforded by cognitive reserve over and above brain reserve (intracranialvolume)
2190 Neurology 80 June 11 2013
scores710 but the Mini-Mental State Examinationmakes minimal memory demands Finally somestudies show that larger head size protects againstdementia1112 but other studies do not2829 Althoughmemory impairment is the hallmark of dementia allelders with dementia also have a decline in nonme-mory cognition It is conceivable that higher brainreserve protects against nonmemory cognitive declineassociated with conversion from amnestic mild cog-nitive impairment to dementia Indeed cognitiveinefficiency is among the best predictors of conver-sion from mild cognitive impairment to dementia30
In summary the agingAD literature appears to belargely consistent with our finding that brain reserveis protective against declines in cognitive efficiencynot memory
The specific link between brain reserve and cogni-tive efficiency is consistent with the strong heritabilityof both MLBV1314 and cognitive efficiency (muchmore than memory)3132 Strong heritability may con-traindicate rehabilitation efforts to bolster brainreserve and cognitive efficiency However rather thanbuilding brain reserve persons may be able to pre-serve their remaining brain reserve (and protect cog-nitive efficiency) through effective disease-modifyingtherapies (which may slow brain volume loss) and bymaintaining a ldquobrain healthyrdquo lifestyle (eg aerobicexercise) Indeed cardiorespiratory fitness is posi-tively correlated with brain volume and cognitive effi-ciency in healthy persons33 and patients withMS34 Incontrast to brain reserve cognitive reserve is devel-oped through enriching life experiences The strongerprotective impact of life experience on memory rela-tive to cognitive efficiency in the current study isconsistent with lower heritability of memory relativeto cognitive efficiency3132 which is further alignedwith lower heritability of hippocampal volume (esti-mated genetic variance 5 040) relative to ICV(081)35 That is 60 of the variance in hippocampalvolume seems to be attributable to environmentalfactors (relative to 19 for ICV) Indeed enrichingcognitive experiences may have a positive impact onhippocampal volume in humans3637
Cognitive reserve may protect against cognitivedecline through superioroptimal neurocognitive pro-cessing5 Consistent with this notion functional MRIresearch has revealed differences in cerebral processingamong patients withMSwho have greater lifetime intel-lectual enrichment including greater activation (orlesser deactivation) within the brainrsquos default network18
The default network consists largely of limbic structuresincluding the hippocampus38 and has been implicatedin memory39 We have subsequently demonstrated thatdefault network activity during functional MRI predictsperformance on neuropsychological tasks of memory(but not cognitive efficiency) on a separate day40 These
links among cognitive reserve default network activityandmemory are consistent with our current finding thatcognitive reserve is specifically protective against mem-ory decline however future research should moredirectly investigate whether differences in default net-work activity mediate the relationship between intellec-tual enrichment and memory Although the currentstudy provides less support for the role of intellectualenrichment in protection against cognitive inefficiencythere was a positive correlation between cognitive leisureand cognitive efficiency We have previously shown thathigher cognitive reserve protects against cognitive inef-ficiency in MS17 although we did not control for brainreserve in that study Taken together the protectiveimpact of cognitive reserve appears to be more pro-nounced for memory than for cognitive efficiency atleast for patients with MS
Given that larger MLBV (estimated with ICV)protects against disease-related cognitive inefficiencyin MS clinical consideration of patient ICV mayimprove identification of patients at risk for cognitiveimpairment and efforts to maintain cardiorespiratoryfitness may help preserve brain reserve and cognitiveefficiency As discussed the specific link betweenbrain reserve and cognitive efficiency (not memory)in this study is consistent with results from agingstudies and should be further explored in agingAD and other neurologic populations The currentstudy also demonstrates that a cognitively enrichinglifestyle (a source of cognitive reserve) independentlyprotects against cognitive impairment (especiallymemory decline) over and above brain reserve Thisis critical because estimates of cognitive reserve andbrain reserve are correlated and the protective effectsof higher cognitive reserve in previous research mayhave been at least partially attributable to concomi-tantly higher brain reserve Our finding that early-lifecognitive leisure protects against memory declinemore than cognitive inefficiency is consistent withlower heritability of memory and hippocampal vol-ume relative to cognitive efficiency and ICV Cogni-tive rehabilitation efforts targeting memory in MSstand to be most beneficial as the hippocampus ismore affected by experience than other brain regionsFuture prospective andor experimental studiesshould investigate whether intellectual enrichment isassociated with largerincreased hippocampal volume(or lesserreduced hippocampal atrophy) in patientswith MS Finally the positive link between intellec-tual enrichment and cognition in the current and pre-vious studies is observational and cognitive leisureactivity is almost always sampled from a period beforedisease onset Longitudinal research is needed toinvestigate whether cognitive leisure moderatesdecline within MS patients as disease progressesand randomized controlled trials of intellectual
Neurology 80 June 11 2013 2191
enrichment are required to establish a causal linkbetween enrichment and protection from disease-related cognitive decline in patients already diagnosedwith MS Such evidence is needed to support a pre-scription of intellectual enrichment as a therapeuticintervention to minimize or prevent disease-relatedcognitive decline
AUTHOR CONTRIBUTIONSJames F Sumowski PhD drafted the manuscript for content contrib-
uted to the study concept and design and analysisinterpretation of the
data and performed statistical analyses Maria A Rocca MD assisted
in drafting the manuscript for content and analysisinterpretation of data
as well as acquisition of data and study supervisioncoordination Victoria
M Leavitt PhD assisted in drafting the manuscript for content and con-
tributed to the interpretation of the data Gianna Riccitelli PhD assisted
in the analysis of data and acquisition of data Giancarlo Comi MD
assisted with interpretation of the data John DeLuca PhD assisted in
drafting the manuscript for content Massimo Filippi MD assisted in
drafting the manuscript for content and interpretation of data as well
as acquisition of data study supervision and obtaining funding
STUDY FUNDINGThis project was funded in part by the NIH (R00HD060765 to JFS)
DISCLOSUREJF Sumowski reports no disclosures MA Rocca received speakersrsquo
honoraria from Biogen Idec and Serono Symposia International Founda-
tion and receives research support from the Italian Ministry of Health
and Fondazione Italiana Sclerosi Multipla VM Leavitt and G Riccitelli
report no disclosures G Comi has received personal compensation for
activities with Teva Neuroscience Merck Serono Bayer Schering No-
vartis Sanofi-Aventis Pharmaceuticals and Biogen-Dompeacute as a consul-
tant speaker or scientific advisory board member J DeLuca received
salary support through compensation to the Kessler Foundation Research
Center from Biogen-Idec He is also a consultant for Biogen M Filippi
serves on scientific advisory boards for Teva Pharmaceutical Industries
Ltd and Genmab AS has received funding for travel from Bayer Scher-
ing Pharma Biogen-Dompeacute Genmab AS Merck Serono and Teva
Pharmaceutical Industries Ltd serves as a consultant to Bayer Schering
Pharma Biogen-Dompeacute Genmab AS Merck Serono and Teva Phar-
maceutical Industries Ltd serves on speakersrsquo bureaus for Bayer Schering
Pharma Biogen-Dompeacute Genmab AS Merck Serono and Teva Phar-
maceutical Industries Ltd and receives research support from Bayer
Schering Pharma Biogen-Dompeacute Genmab AS Merck Serono Teva
Pharmaceutical Industries Ltd and Fondazione Italiana Sclerosi Multi-
pla Go to Neurologyorg for full disclosures
Received November 13 2012 Accepted in final form March 7 2013
REFERENCES1 Chiaravalloti ND DeLuca J Cognitive impairment in
multiple sclerosis Lancet Neurol 200871139ndash1151
2 Filippi M Rocca MA Benedict RH et al The contribu-
tion of MRI in assessing cognitive impairment in multiple
sclerosis Neurology 2010752121ndash2128
3 Bennett DA Schneider JA Arvanitakis Z et al Neuropathol-
ogy of older persons without cognitive impairment from two
community-based studies Neurology 2006661837ndash1844
4 Satz P Brain reserve capacity on symptom onset after
brain injury a formulation and review of evidence for
threshold theory Neuropsychology 19937273ndash295
5 Stern Y What is cognitive reserve Theory and research
application of the reserve concept J Int Neuropsychol Soc
20028448ndash460
6 MacLullich AM Ferguson KJ Deary IJ Seckl JR
Starr JM Wardlaw JM Intracranial capacity and brain
volumes are associated with cognition in healthy elderly
men Neurology 200259169ndash174
7 Reynolds MD Dodge HH DeKosky ST Ganguli M
Small head size is related to low Mini-Mental State Exam-
ination scores in a community sample of nondemented
older adults Neurology 199953228ndash229
8 Tisserand DJ Bosma H Van Boxtel MP Jolles J Head
size and cognitive ability in nondemented older adults are
related Neurology 200156969ndash971
9 Farias ST Mungas D Reed B et al Maximal brain size
remains an important predictor of cognition in old age
independent of current brain pathology Neurobiol Aging
2012331758ndash1768
10 Perneczky R Wagenpfeil S Lunetta KL et al Head cir-
cumference atrophy and cognition implications for brain
reserve in Alzheimer disease Neurology 201075137ndash142
11 Schofield PW Logroscino G Andrews HF Albert S
Stern Y An association between head circumference and
Alzheimerrsquos disease in a population-based study of aging
and dementia Neurology 19974930ndash37
12 Borenstein Graves A Mortimer JA Bowen JD et al Head
circumference and incident Alzheimerrsquos disease modifica-
tion by apolipoprotein E Neurology 2001571453ndash1460
13 Bartley AJ Jones DW Weinberger DR Genetic variabil-
ity of human brain size and cortical gyral patterns Brain
1997120(pt 2)257ndash269
14 Tramo MJ Loftus WC Stukel TA Green RL Weaver JB
Gazzaniga MS Brain size head size and intelligence quo-
tient in monozygotic twins Neurology 1998501246ndash1252
15 Bennett DA Wilson RS Schneider JA et al Education
modifies the relation of AD pathology to level of cognitive
function in older persons Neurology 2003601909ndash1915
16 Roe CM Mintun MA DrsquoAngelo G Xiong C Grant EA
Morris JC Alzheimer disease and cognitive reserve varia-
tion of education effect with carbon 11-labeled Pittsburgh
Compound B uptake Arch Neurol 2008651467ndash1471
17 Sumowski JF Chiaravalloti N Wylie G Deluca J Cog-
nitive reserve moderates the negative effect of brain atro-
phy on cognitive efficiency in multiple sclerosis J Int
Neuropsychol Soc 200915606ndash612
18 Sumowski JF Wylie GR Deluca J Chiaravalloti N Intel-
lectual enrichment is linked to cerebral efficiency in mul-
tiple sclerosis functional magnetic resonance imaging
evidence for cognitive reserve Brain 2010133362ndash374
19 Sumowski JF Wylie GR Chiaravalloti N DeLuca J
Intellectual enrichment lessens the effect of brain atrophy
on learning and memory in multiple sclerosis Neurology
2010741942ndash1945
20 Sumowski JF Wylie GR Gonnella A Chiaravalloti N
Deluca J Premorbid cognitive leisure independently con-
tributes to cognitive reserve in multiple sclerosis Neurology
2010751428ndash1431
21 Deary IJ Penke L Johnson W The neuroscience of
human intelligence differences Nat Rev Neurosci 2010
11201ndash211
22 Polman CH Reingold SC Banwell B et al Diagnostic cri-
teria for multiple sclerosis 2010 revisions to the McDonald
criteria Ann Neurol 201169292ndash302
23 Amato MP Portaccio E Goretti B et al The Raorsquos Brief
Repeatable Battery and Stroop Test normative values with
age education and gender corrections in an Italian popu-
lation Mult Scler 200612787ndash793
2192 Neurology 80 June 11 2013
24 Courchesne E Chisum HJ Townsend J et al Normal brain
development and aging quantitative analysis at in vivo MR
imaging in healthy volunteers Radiology 2000216672ndash782
25 Mori E Hirono N Yamashita H et al Premorbid brain size
as a determinant of reserve capacity against intellectual decline
in Alzheimerrsquos disease Am J Psychiatry 199715418ndash24
26 Rabbitt P Mogapi O Scott M et al Effects of global atro-
phy white matter lesions and cerebral blood flow on age-
related changes in speed memory intelligence vocabulary
and frontal function Neuropsychology 200721684ndash695
27 Kramer JH Mungas D Reed BR et al Longitudinal MRI
and cognitive change in healthy elderly Neuropsychology
200721412ndash418
28 Edland SD Xu Y Plevak M et al Total intracranial vol-
ume normative values and lack of association with Alz-
heimerrsquos disease Neurology 200259272ndash274
29 Jenkins R Fox NC Rossor AM Harvey RJ Rossor MN
Intracranial volume and Alzheimer disease evidence against
the cerebral reserve hypothesis Arch Neurol 200057220ndash224
30 Tabert MH Manly JJ Liu X et al Neuropsychological
prediction of conversion to Alzheimer disease in patients
with mild cognitive impairment Arch Gen Psychiatry
200663916ndash924
31 Pedersen NL Plomin R Nesselroade JR McClearn GE A
quantitative genetic analysis of cognitive abilities during the
second half of the life span Psychol Sci 19923346ndash353
32 McClearn GE Johansson B Berg S et al Substantial
genetic influence on cognitive abilities in twins 80 or more
years old Science 19972761560ndash1563
33 Hillman CH Erickson KI Kramer AF Be smart exercise
your heart exercise effects on brain and cognition Nat
Rev Neurosci 2008958ndash65
34 Prakash RS Snook EM Motl RW Kramer AF Aerobic
fitness is associated with gray matter volume and white
matter integrity in multiple sclerosis Brain Res 2010
134141ndash51
35 Sullivan EV Pfefferbaum A Swan GE Carmelli D Her-
itability of hippocampal size in elderly twin men equiva-
lent influence from genes and environment Hippocampus
200111754ndash762
36 Maguire EA Gadian DG Johnsrude IS et al Navigation-
related structural change in the hippocampi of taxi drivers
Proc Natl Acad Sci USA 2000974398ndash4403
37 Draganski B Gaser C Kempermann G et al Temporal
and spatial dynamics of brain structure changes during
extensive learning J Neurosci 2006266314ndash6317
38 Greicius MD Supekar K Menon V Dougherty RF Rest-
ing-state functional connectivity reflects structural connec-
tivity in the default mode network Cereb Cortex 200919
72ndash78
39 Kim H A dual-subsystem model of the brainrsquos default
network self-referential processing memory retrieval pro-
cesses and autobiographical memory retrieval Neuro-
image 201261966ndash977
40 Sumowski JF Wylie GR Leavitt VM Chiaravalloti ND
Deluca J Default network activity is a sensitive and spe-
cific biomarker of memory in multiple sclerosis Mult Scler
201219199ndash208
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Neurology 80 June 11 2013 2193
DOI 101212WNL0b013e318296e98b2013802186-2193 Published Online before print May 10 2013Neurology
James F Sumowski Maria A Rocca Victoria M Leavitt et al you use it
Brain reserve and cognitive reserve in multiple sclerosis What youve got and how
This information is current as of May 10 2013
ServicesUpdated Information amp
httpwwwneurologyorgcontent80242186fullhtmlincluding high resolution figures can be found at
Supplementary Material
e318296e98bDC1htmlhttpwwwneurologyorgcontentsuppl20130723WNL0b013Supplementary material can be found at
References
1httpwwwneurologyorgcontent80242186fullhtmlref-list-at This article cites 40 articles 21 of which you can access for free
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httpwwwneurologyorgcgicollectionmultiple_sclerosisMultiple sclerosis
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CORRECTIONBrain reserve and cognitive reserve in multiple sclerosis What yoursquove got and how you use it
In the article ldquoBrain reserve and cognitive reserve in multiple sclerosis What yoursquove got and how you use itrdquo by JF Sumowski et al (Neurologyreg
2013802186ndash2193) there is an error in figures 1 and 2 where the lines are switched The corrected figures are below The editorial staff regrets the error
Figure 1 Brain reserve protects against disease-relatedcognitive decline
Graphical depiction of (A) the positive correlation between intracra-nial volume (ICV) (brain reserve) and overall cognitive status and (B)the interaction between ICV and T2 lesion load (T2LL) wherebylarger ICV moderates the negative impact of T2LL on cognitivestatus
Figure 2 Cognitive reserve independently protectsagainst disease-related cognitive declineover and above brain reserve
Graphical depiction of (A) the positive correlation between early-lifecognitive leisure (cognitive reserve) and overall cognitive status and(B) the interaction between early-life cognitive leisure and T2 lesionload whereby greater engagement in cognitive leisure moderatesthe negative impact of T2 lesion load on cognitive status These re-sults demonstrate the independent protection afforded by cognitivereserve over and above brain reserve (intracranial volume)
604 copy 2013 American Academy of Neurology
The interaction between ICV and disease burden (T2lesion load) was also significant (block 4) such thatgreater ICV moderatedattenuated the negativeimpact of disease burden (T2 lesion load) on cogni-tive status (figure 1B)
Cognitive efficiency and memory There was a largepositive relationship between ICV and cognitive effi-ciency (block 3) such that patients with larger ICVsshowed better cognitive efficiency There was also aninteraction whereby greater ICV moderatedattenu-ated the negative impact of T2 lesion load on cogni-tive efficiency In contrast there was no relationshipbetween ICV and memory (block 3) nor was theinteraction significant (block 4) Brain reserve pro-tected against disease-related cognitive inefficiencynot memory problems
Cognitive reserve The results of cognitive reserve anal-yses are presented in table 3
Overall cognitive status After accounting for thebrain reserve analysis (block 1 age sex phenotypeT2 lesion load ICV ICV 3 T2 lesion load) therewas a positive relationship between cognitive statusand education (block 2) There was also a large inde-pendent positive relationship between cognitive lei-sure and cognitive status (block 3) such that patientswho engaged in more early-life cognitive leisure hadbetter cognitive status (figure 2A) The interactionbetween T2 lesion load and cognitive leisure was sig-nificant (block 4) with greater cognitive leisure mod-eratingattenuating the negative impact of T2 lesionload on cognitive status (figure 2B)
Cognitive efficiency and memory Cognitive efficiencywas unrelated to education (block 2) but positivelyrelated to cognitive leisure (block 3) The interactionbetween T2 lesion load and cognitive leisure on cog-nitive efficiency was small and nonsignificant (block4) Memory was strongly and positively related toboth education (block 2) and cognitive leisure (block3) and there was a significant small- to medium-sizedinteraction between T2 lesion load and cognitive lei-sure (block 4) such that greater cognitive leisure mod-eratedattenuated the negative impact of T2 lesionload on memory In summary cognitive leisure inde-pendently contributed to both cognitive efficiencyand memory over and above brain reserve but theinteraction between cognitive leisure and disease bur-den was only significant for memory The cognitive
Figure 1 Brain reserve protects against disease-related cognitive decline
Graphical depiction of (A) the positive correlation between intracranial volume (ICV) (brain reserve)and overall cognitive status and (B) the interaction between ICV and T2 lesion load (T2LL)whereby larger ICV moderates the negative impact of T2LL on cognitive status
Table 3 Results for the hierarchical regression analyses investigating the independent protective effect ofcognitive reserve (leisure) on overall cognitive status cognitive efficiency and memory
Overall cognitive status Cognitive efficiency Memory
ΔR2 p Value ΔR2 p Value ΔR2 p Value
BR analysis 0441 0001 0368 0001 0315 0001
Education 0047 0030 0012 0278 0086 0007
Leisure 0090 0001 0061 0014 0083 0005
T2LL 3 leisure 0037 0030 0021 0136 0040 0042
Abbreviations BR 5 brain reserve T2LL 5 T2 lesion load
Neurology 80 June 11 2013 2189
reserve hypothesis was upheld for memory but less sofor cognitive efficiency
Supplemental analyses We entered brain reserve intoregression models before cognitive reserve as MLBVis established before education and leisure Given acorrelation between education and ICV (r 5 025p 5 005) we examined whether the relationshipbetween brain reserve (ICV) and cognitive efficiencyis explained by the relationship between educationand ICV We reran the brain reserve regression pre-dicting cognitive efficacy now controlling for educa-tion in block 1 (before ICV) The main effect of ICV(ΔR2 5 0064 p 5 0022) and the ICV 3 T2 lesionload interaction (ΔR2 5 0075 p5 0009) remainedindicating that brain reserve provides independentprotection from cognitive inefficiency over and above
education Although there was no link between ICVand leisure (r 5 003 p 5 084) to be thorough wereran the regression analysis controlling for educationand leisure (block 1) There were relatively nochanges to the effect of ICV (ΔR2 5 0067 p 5
0014) or the ICV 3 T2 lesion load interaction(ΔR2 5 0067 p 5 0010) Similar to educationpremorbid intelligence is a common proxy of cogni-tive reserve and correlated with maximal lifetimebrain size21 Verbal intelligence (an estimate of pre-morbid intelligence) was only available for a subsam-ple of patients (n 5 36) but was strongly correlatedwith education (r5 062 p 0001) indicating thatthey measure similar constructs Note that verbalintelligence was only weakly related to cognitive lei-sure (r5 016 p5 0350) so the protective effects ofcognitive leisure reported herein are not explained byhigher intelligence
Consistent with the MS population half of oursample was diagnosed with MS before age 30 As suchfor some patients cognitive leisure was performed afterdisease onset We investigated whether the protectiveeffect of cognitive leisure differed based on age of diag-nosis A cognitive leisure 3 disease burden (T2 lesionload) 3 age at diagnosis interaction term (controllingfor 2-way interactions) was not significant for modelspredicting overall cognitive status (ΔR2 5 0011 p 50217) cognitive efficiency (ΔR25 0008 p5 0361)or memory (ΔR2 5 0010 p 5 0300) That is theprotective effect of cognitive leisure did not differ basedon age of diagnosis
DISCUSSION Larger MLBV moderatedattenuatedthe negative impact of disease burden on cognitive sta-tus thereby supporting the brain reserve hypothesis inMS Given the moderate but robust correlation betweenestimates of cognitive reserve and brain reserve21 theprotective effect of higher cognitive reserve in previousresearch may be partially or fully explained by concom-itantly higher brain reserve Our results demonstratethat early-life intellectual enrichment (cognitive reserve)protects patients from disease-related cognitive impair-ment independently of MLBV (brain reserve) therebysupporting the independent role of enriching experien-ces in protecting against cognitive decline
Brain reserve protected against cognitive ineffi-ciency not memory decline This may seem inconsis-tent with the agingAD literature linking larger headsize or ICV to better cognition in elders6ndash10 and lowerrisk of dementia1112 however closer examination ofthese agingAD studies confirms that larger head sizeor ICV predicts cognitive efficiency not memory689
Furthermore longitudinal studies link age-relatedbrain atrophy to declines in cognitive efficiency notmemory2627 Other agingAD studies link larger ICVor head size to better Mini-Mental State Examination
Figure 2 Cognitive reserve independently protects against disease-relatedcognitive decline over and above brain reserve
Graphical depiction of (A) the positive correlation between early-life cognitive leisure (cogni-tive reserve) and overall cognitive status and (B) the interaction between early-life cognitiveleisure and T2 lesion load whereby greater engagement in cognitive leisure moderates thenegative impact of T2 lesion load on cognitive status These results demonstrate the inde-pendent protection afforded by cognitive reserve over and above brain reserve (intracranialvolume)
2190 Neurology 80 June 11 2013
scores710 but the Mini-Mental State Examinationmakes minimal memory demands Finally somestudies show that larger head size protects againstdementia1112 but other studies do not2829 Althoughmemory impairment is the hallmark of dementia allelders with dementia also have a decline in nonme-mory cognition It is conceivable that higher brainreserve protects against nonmemory cognitive declineassociated with conversion from amnestic mild cog-nitive impairment to dementia Indeed cognitiveinefficiency is among the best predictors of conver-sion from mild cognitive impairment to dementia30
In summary the agingAD literature appears to belargely consistent with our finding that brain reserveis protective against declines in cognitive efficiencynot memory
The specific link between brain reserve and cogni-tive efficiency is consistent with the strong heritabilityof both MLBV1314 and cognitive efficiency (muchmore than memory)3132 Strong heritability may con-traindicate rehabilitation efforts to bolster brainreserve and cognitive efficiency However rather thanbuilding brain reserve persons may be able to pre-serve their remaining brain reserve (and protect cog-nitive efficiency) through effective disease-modifyingtherapies (which may slow brain volume loss) and bymaintaining a ldquobrain healthyrdquo lifestyle (eg aerobicexercise) Indeed cardiorespiratory fitness is posi-tively correlated with brain volume and cognitive effi-ciency in healthy persons33 and patients withMS34 Incontrast to brain reserve cognitive reserve is devel-oped through enriching life experiences The strongerprotective impact of life experience on memory rela-tive to cognitive efficiency in the current study isconsistent with lower heritability of memory relativeto cognitive efficiency3132 which is further alignedwith lower heritability of hippocampal volume (esti-mated genetic variance 5 040) relative to ICV(081)35 That is 60 of the variance in hippocampalvolume seems to be attributable to environmentalfactors (relative to 19 for ICV) Indeed enrichingcognitive experiences may have a positive impact onhippocampal volume in humans3637
Cognitive reserve may protect against cognitivedecline through superioroptimal neurocognitive pro-cessing5 Consistent with this notion functional MRIresearch has revealed differences in cerebral processingamong patients withMSwho have greater lifetime intel-lectual enrichment including greater activation (orlesser deactivation) within the brainrsquos default network18
The default network consists largely of limbic structuresincluding the hippocampus38 and has been implicatedin memory39 We have subsequently demonstrated thatdefault network activity during functional MRI predictsperformance on neuropsychological tasks of memory(but not cognitive efficiency) on a separate day40 These
links among cognitive reserve default network activityandmemory are consistent with our current finding thatcognitive reserve is specifically protective against mem-ory decline however future research should moredirectly investigate whether differences in default net-work activity mediate the relationship between intellec-tual enrichment and memory Although the currentstudy provides less support for the role of intellectualenrichment in protection against cognitive inefficiencythere was a positive correlation between cognitive leisureand cognitive efficiency We have previously shown thathigher cognitive reserve protects against cognitive inef-ficiency in MS17 although we did not control for brainreserve in that study Taken together the protectiveimpact of cognitive reserve appears to be more pro-nounced for memory than for cognitive efficiency atleast for patients with MS
Given that larger MLBV (estimated with ICV)protects against disease-related cognitive inefficiencyin MS clinical consideration of patient ICV mayimprove identification of patients at risk for cognitiveimpairment and efforts to maintain cardiorespiratoryfitness may help preserve brain reserve and cognitiveefficiency As discussed the specific link betweenbrain reserve and cognitive efficiency (not memory)in this study is consistent with results from agingstudies and should be further explored in agingAD and other neurologic populations The currentstudy also demonstrates that a cognitively enrichinglifestyle (a source of cognitive reserve) independentlyprotects against cognitive impairment (especiallymemory decline) over and above brain reserve Thisis critical because estimates of cognitive reserve andbrain reserve are correlated and the protective effectsof higher cognitive reserve in previous research mayhave been at least partially attributable to concomi-tantly higher brain reserve Our finding that early-lifecognitive leisure protects against memory declinemore than cognitive inefficiency is consistent withlower heritability of memory and hippocampal vol-ume relative to cognitive efficiency and ICV Cogni-tive rehabilitation efforts targeting memory in MSstand to be most beneficial as the hippocampus ismore affected by experience than other brain regionsFuture prospective andor experimental studiesshould investigate whether intellectual enrichment isassociated with largerincreased hippocampal volume(or lesserreduced hippocampal atrophy) in patientswith MS Finally the positive link between intellec-tual enrichment and cognition in the current and pre-vious studies is observational and cognitive leisureactivity is almost always sampled from a period beforedisease onset Longitudinal research is needed toinvestigate whether cognitive leisure moderatesdecline within MS patients as disease progressesand randomized controlled trials of intellectual
Neurology 80 June 11 2013 2191
enrichment are required to establish a causal linkbetween enrichment and protection from disease-related cognitive decline in patients already diagnosedwith MS Such evidence is needed to support a pre-scription of intellectual enrichment as a therapeuticintervention to minimize or prevent disease-relatedcognitive decline
AUTHOR CONTRIBUTIONSJames F Sumowski PhD drafted the manuscript for content contrib-
uted to the study concept and design and analysisinterpretation of the
data and performed statistical analyses Maria A Rocca MD assisted
in drafting the manuscript for content and analysisinterpretation of data
as well as acquisition of data and study supervisioncoordination Victoria
M Leavitt PhD assisted in drafting the manuscript for content and con-
tributed to the interpretation of the data Gianna Riccitelli PhD assisted
in the analysis of data and acquisition of data Giancarlo Comi MD
assisted with interpretation of the data John DeLuca PhD assisted in
drafting the manuscript for content Massimo Filippi MD assisted in
drafting the manuscript for content and interpretation of data as well
as acquisition of data study supervision and obtaining funding
STUDY FUNDINGThis project was funded in part by the NIH (R00HD060765 to JFS)
DISCLOSUREJF Sumowski reports no disclosures MA Rocca received speakersrsquo
honoraria from Biogen Idec and Serono Symposia International Founda-
tion and receives research support from the Italian Ministry of Health
and Fondazione Italiana Sclerosi Multipla VM Leavitt and G Riccitelli
report no disclosures G Comi has received personal compensation for
activities with Teva Neuroscience Merck Serono Bayer Schering No-
vartis Sanofi-Aventis Pharmaceuticals and Biogen-Dompeacute as a consul-
tant speaker or scientific advisory board member J DeLuca received
salary support through compensation to the Kessler Foundation Research
Center from Biogen-Idec He is also a consultant for Biogen M Filippi
serves on scientific advisory boards for Teva Pharmaceutical Industries
Ltd and Genmab AS has received funding for travel from Bayer Scher-
ing Pharma Biogen-Dompeacute Genmab AS Merck Serono and Teva
Pharmaceutical Industries Ltd serves as a consultant to Bayer Schering
Pharma Biogen-Dompeacute Genmab AS Merck Serono and Teva Phar-
maceutical Industries Ltd serves on speakersrsquo bureaus for Bayer Schering
Pharma Biogen-Dompeacute Genmab AS Merck Serono and Teva Phar-
maceutical Industries Ltd and receives research support from Bayer
Schering Pharma Biogen-Dompeacute Genmab AS Merck Serono Teva
Pharmaceutical Industries Ltd and Fondazione Italiana Sclerosi Multi-
pla Go to Neurologyorg for full disclosures
Received November 13 2012 Accepted in final form March 7 2013
REFERENCES1 Chiaravalloti ND DeLuca J Cognitive impairment in
multiple sclerosis Lancet Neurol 200871139ndash1151
2 Filippi M Rocca MA Benedict RH et al The contribu-
tion of MRI in assessing cognitive impairment in multiple
sclerosis Neurology 2010752121ndash2128
3 Bennett DA Schneider JA Arvanitakis Z et al Neuropathol-
ogy of older persons without cognitive impairment from two
community-based studies Neurology 2006661837ndash1844
4 Satz P Brain reserve capacity on symptom onset after
brain injury a formulation and review of evidence for
threshold theory Neuropsychology 19937273ndash295
5 Stern Y What is cognitive reserve Theory and research
application of the reserve concept J Int Neuropsychol Soc
20028448ndash460
6 MacLullich AM Ferguson KJ Deary IJ Seckl JR
Starr JM Wardlaw JM Intracranial capacity and brain
volumes are associated with cognition in healthy elderly
men Neurology 200259169ndash174
7 Reynolds MD Dodge HH DeKosky ST Ganguli M
Small head size is related to low Mini-Mental State Exam-
ination scores in a community sample of nondemented
older adults Neurology 199953228ndash229
8 Tisserand DJ Bosma H Van Boxtel MP Jolles J Head
size and cognitive ability in nondemented older adults are
related Neurology 200156969ndash971
9 Farias ST Mungas D Reed B et al Maximal brain size
remains an important predictor of cognition in old age
independent of current brain pathology Neurobiol Aging
2012331758ndash1768
10 Perneczky R Wagenpfeil S Lunetta KL et al Head cir-
cumference atrophy and cognition implications for brain
reserve in Alzheimer disease Neurology 201075137ndash142
11 Schofield PW Logroscino G Andrews HF Albert S
Stern Y An association between head circumference and
Alzheimerrsquos disease in a population-based study of aging
and dementia Neurology 19974930ndash37
12 Borenstein Graves A Mortimer JA Bowen JD et al Head
circumference and incident Alzheimerrsquos disease modifica-
tion by apolipoprotein E Neurology 2001571453ndash1460
13 Bartley AJ Jones DW Weinberger DR Genetic variabil-
ity of human brain size and cortical gyral patterns Brain
1997120(pt 2)257ndash269
14 Tramo MJ Loftus WC Stukel TA Green RL Weaver JB
Gazzaniga MS Brain size head size and intelligence quo-
tient in monozygotic twins Neurology 1998501246ndash1252
15 Bennett DA Wilson RS Schneider JA et al Education
modifies the relation of AD pathology to level of cognitive
function in older persons Neurology 2003601909ndash1915
16 Roe CM Mintun MA DrsquoAngelo G Xiong C Grant EA
Morris JC Alzheimer disease and cognitive reserve varia-
tion of education effect with carbon 11-labeled Pittsburgh
Compound B uptake Arch Neurol 2008651467ndash1471
17 Sumowski JF Chiaravalloti N Wylie G Deluca J Cog-
nitive reserve moderates the negative effect of brain atro-
phy on cognitive efficiency in multiple sclerosis J Int
Neuropsychol Soc 200915606ndash612
18 Sumowski JF Wylie GR Deluca J Chiaravalloti N Intel-
lectual enrichment is linked to cerebral efficiency in mul-
tiple sclerosis functional magnetic resonance imaging
evidence for cognitive reserve Brain 2010133362ndash374
19 Sumowski JF Wylie GR Chiaravalloti N DeLuca J
Intellectual enrichment lessens the effect of brain atrophy
on learning and memory in multiple sclerosis Neurology
2010741942ndash1945
20 Sumowski JF Wylie GR Gonnella A Chiaravalloti N
Deluca J Premorbid cognitive leisure independently con-
tributes to cognitive reserve in multiple sclerosis Neurology
2010751428ndash1431
21 Deary IJ Penke L Johnson W The neuroscience of
human intelligence differences Nat Rev Neurosci 2010
11201ndash211
22 Polman CH Reingold SC Banwell B et al Diagnostic cri-
teria for multiple sclerosis 2010 revisions to the McDonald
criteria Ann Neurol 201169292ndash302
23 Amato MP Portaccio E Goretti B et al The Raorsquos Brief
Repeatable Battery and Stroop Test normative values with
age education and gender corrections in an Italian popu-
lation Mult Scler 200612787ndash793
2192 Neurology 80 June 11 2013
24 Courchesne E Chisum HJ Townsend J et al Normal brain
development and aging quantitative analysis at in vivo MR
imaging in healthy volunteers Radiology 2000216672ndash782
25 Mori E Hirono N Yamashita H et al Premorbid brain size
as a determinant of reserve capacity against intellectual decline
in Alzheimerrsquos disease Am J Psychiatry 199715418ndash24
26 Rabbitt P Mogapi O Scott M et al Effects of global atro-
phy white matter lesions and cerebral blood flow on age-
related changes in speed memory intelligence vocabulary
and frontal function Neuropsychology 200721684ndash695
27 Kramer JH Mungas D Reed BR et al Longitudinal MRI
and cognitive change in healthy elderly Neuropsychology
200721412ndash418
28 Edland SD Xu Y Plevak M et al Total intracranial vol-
ume normative values and lack of association with Alz-
heimerrsquos disease Neurology 200259272ndash274
29 Jenkins R Fox NC Rossor AM Harvey RJ Rossor MN
Intracranial volume and Alzheimer disease evidence against
the cerebral reserve hypothesis Arch Neurol 200057220ndash224
30 Tabert MH Manly JJ Liu X et al Neuropsychological
prediction of conversion to Alzheimer disease in patients
with mild cognitive impairment Arch Gen Psychiatry
200663916ndash924
31 Pedersen NL Plomin R Nesselroade JR McClearn GE A
quantitative genetic analysis of cognitive abilities during the
second half of the life span Psychol Sci 19923346ndash353
32 McClearn GE Johansson B Berg S et al Substantial
genetic influence on cognitive abilities in twins 80 or more
years old Science 19972761560ndash1563
33 Hillman CH Erickson KI Kramer AF Be smart exercise
your heart exercise effects on brain and cognition Nat
Rev Neurosci 2008958ndash65
34 Prakash RS Snook EM Motl RW Kramer AF Aerobic
fitness is associated with gray matter volume and white
matter integrity in multiple sclerosis Brain Res 2010
134141ndash51
35 Sullivan EV Pfefferbaum A Swan GE Carmelli D Her-
itability of hippocampal size in elderly twin men equiva-
lent influence from genes and environment Hippocampus
200111754ndash762
36 Maguire EA Gadian DG Johnsrude IS et al Navigation-
related structural change in the hippocampi of taxi drivers
Proc Natl Acad Sci USA 2000974398ndash4403
37 Draganski B Gaser C Kempermann G et al Temporal
and spatial dynamics of brain structure changes during
extensive learning J Neurosci 2006266314ndash6317
38 Greicius MD Supekar K Menon V Dougherty RF Rest-
ing-state functional connectivity reflects structural connec-
tivity in the default mode network Cereb Cortex 200919
72ndash78
39 Kim H A dual-subsystem model of the brainrsquos default
network self-referential processing memory retrieval pro-
cesses and autobiographical memory retrieval Neuro-
image 201261966ndash977
40 Sumowski JF Wylie GR Leavitt VM Chiaravalloti ND
Deluca J Default network activity is a sensitive and spe-
cific biomarker of memory in multiple sclerosis Mult Scler
201219199ndash208
Spring AAN Webinars Help for Your Practice CME forYour Career
The American Academy of Neurology offers cost-effective Practice Management Webinars that canbe attended live or through convenient recordings posted online five days after the event AANmembers can save 25 on all regular webinars Plus physicians can earn 15 valuable CME creditsfor each webinar and administrators receive a certificate of completion Mark your calendar forupcoming programs and register today for these and other 2013 webinars at wwwaancomviewpmw13
Online Now Correct Coding for Chemodenervation
Online Now Working with NPs and PAs to Maximize Office Productivity
Online Now Remaining Relevant in the Changing Health Care Payment and Care DeliverySystems
Online Now Coding Accurately for Epilepsy
June 25 EM Minimize Mistakes Maximize Reimbursement
Neurology 80 June 11 2013 2193
DOI 101212WNL0b013e318296e98b2013802186-2193 Published Online before print May 10 2013Neurology
James F Sumowski Maria A Rocca Victoria M Leavitt et al you use it
Brain reserve and cognitive reserve in multiple sclerosis What youve got and how
This information is current as of May 10 2013
ServicesUpdated Information amp
httpwwwneurologyorgcontent80242186fullhtmlincluding high resolution figures can be found at
Supplementary Material
e318296e98bDC1htmlhttpwwwneurologyorgcontentsuppl20130723WNL0b013Supplementary material can be found at
References
1httpwwwneurologyorgcontent80242186fullhtmlref-list-at This article cites 40 articles 21 of which you can access for free
Citations
icleshttpwwwneurologyorgcontent80242186fullhtmlotherartThis article has been cited by 1 HighWire-hosted articles
Subspecialty Collections
httpwwwneurologyorgcgicollectionmultiple_sclerosisMultiple sclerosis
httpwwwneurologyorgcgicollectionmemoryMemory
_dementiahttpwwwneurologyorgcgicollectionall_cognitive_disordersAll Cognitive DisordersDementiafollowing collection(s) This article along with others on similar topics appears in the
Errata
httpwwwneurologyorgcontent816604fullpdf or next page
An erratum has been published regarding this article Please see
Permissions amp Licensing
httpwwwneurologyorgmiscaboutxhtmlpermissionsor in its entirety can be found online atInformation about reproducing this article in parts (figurestables)
Reprints
httpwwwneurologyorgmiscaddirxhtmlreprintsusInformation about ordering reprints can be found online
CORRECTIONBrain reserve and cognitive reserve in multiple sclerosis What yoursquove got and how you use it
In the article ldquoBrain reserve and cognitive reserve in multiple sclerosis What yoursquove got and how you use itrdquo by JF Sumowski et al (Neurologyreg
2013802186ndash2193) there is an error in figures 1 and 2 where the lines are switched The corrected figures are below The editorial staff regrets the error
Figure 1 Brain reserve protects against disease-relatedcognitive decline
Graphical depiction of (A) the positive correlation between intracra-nial volume (ICV) (brain reserve) and overall cognitive status and (B)the interaction between ICV and T2 lesion load (T2LL) wherebylarger ICV moderates the negative impact of T2LL on cognitivestatus
Figure 2 Cognitive reserve independently protectsagainst disease-related cognitive declineover and above brain reserve
Graphical depiction of (A) the positive correlation between early-lifecognitive leisure (cognitive reserve) and overall cognitive status and(B) the interaction between early-life cognitive leisure and T2 lesionload whereby greater engagement in cognitive leisure moderatesthe negative impact of T2 lesion load on cognitive status These re-sults demonstrate the independent protection afforded by cognitivereserve over and above brain reserve (intracranial volume)
604 copy 2013 American Academy of Neurology
reserve hypothesis was upheld for memory but less sofor cognitive efficiency
Supplemental analyses We entered brain reserve intoregression models before cognitive reserve as MLBVis established before education and leisure Given acorrelation between education and ICV (r 5 025p 5 005) we examined whether the relationshipbetween brain reserve (ICV) and cognitive efficiencyis explained by the relationship between educationand ICV We reran the brain reserve regression pre-dicting cognitive efficacy now controlling for educa-tion in block 1 (before ICV) The main effect of ICV(ΔR2 5 0064 p 5 0022) and the ICV 3 T2 lesionload interaction (ΔR2 5 0075 p5 0009) remainedindicating that brain reserve provides independentprotection from cognitive inefficiency over and above
education Although there was no link between ICVand leisure (r 5 003 p 5 084) to be thorough wereran the regression analysis controlling for educationand leisure (block 1) There were relatively nochanges to the effect of ICV (ΔR2 5 0067 p 5
0014) or the ICV 3 T2 lesion load interaction(ΔR2 5 0067 p 5 0010) Similar to educationpremorbid intelligence is a common proxy of cogni-tive reserve and correlated with maximal lifetimebrain size21 Verbal intelligence (an estimate of pre-morbid intelligence) was only available for a subsam-ple of patients (n 5 36) but was strongly correlatedwith education (r5 062 p 0001) indicating thatthey measure similar constructs Note that verbalintelligence was only weakly related to cognitive lei-sure (r5 016 p5 0350) so the protective effects ofcognitive leisure reported herein are not explained byhigher intelligence
Consistent with the MS population half of oursample was diagnosed with MS before age 30 As suchfor some patients cognitive leisure was performed afterdisease onset We investigated whether the protectiveeffect of cognitive leisure differed based on age of diag-nosis A cognitive leisure 3 disease burden (T2 lesionload) 3 age at diagnosis interaction term (controllingfor 2-way interactions) was not significant for modelspredicting overall cognitive status (ΔR2 5 0011 p 50217) cognitive efficiency (ΔR25 0008 p5 0361)or memory (ΔR2 5 0010 p 5 0300) That is theprotective effect of cognitive leisure did not differ basedon age of diagnosis
DISCUSSION Larger MLBV moderatedattenuatedthe negative impact of disease burden on cognitive sta-tus thereby supporting the brain reserve hypothesis inMS Given the moderate but robust correlation betweenestimates of cognitive reserve and brain reserve21 theprotective effect of higher cognitive reserve in previousresearch may be partially or fully explained by concom-itantly higher brain reserve Our results demonstratethat early-life intellectual enrichment (cognitive reserve)protects patients from disease-related cognitive impair-ment independently of MLBV (brain reserve) therebysupporting the independent role of enriching experien-ces in protecting against cognitive decline
Brain reserve protected against cognitive ineffi-ciency not memory decline This may seem inconsis-tent with the agingAD literature linking larger headsize or ICV to better cognition in elders6ndash10 and lowerrisk of dementia1112 however closer examination ofthese agingAD studies confirms that larger head sizeor ICV predicts cognitive efficiency not memory689
Furthermore longitudinal studies link age-relatedbrain atrophy to declines in cognitive efficiency notmemory2627 Other agingAD studies link larger ICVor head size to better Mini-Mental State Examination
Figure 2 Cognitive reserve independently protects against disease-relatedcognitive decline over and above brain reserve
Graphical depiction of (A) the positive correlation between early-life cognitive leisure (cogni-tive reserve) and overall cognitive status and (B) the interaction between early-life cognitiveleisure and T2 lesion load whereby greater engagement in cognitive leisure moderates thenegative impact of T2 lesion load on cognitive status These results demonstrate the inde-pendent protection afforded by cognitive reserve over and above brain reserve (intracranialvolume)
2190 Neurology 80 June 11 2013
scores710 but the Mini-Mental State Examinationmakes minimal memory demands Finally somestudies show that larger head size protects againstdementia1112 but other studies do not2829 Althoughmemory impairment is the hallmark of dementia allelders with dementia also have a decline in nonme-mory cognition It is conceivable that higher brainreserve protects against nonmemory cognitive declineassociated with conversion from amnestic mild cog-nitive impairment to dementia Indeed cognitiveinefficiency is among the best predictors of conver-sion from mild cognitive impairment to dementia30
In summary the agingAD literature appears to belargely consistent with our finding that brain reserveis protective against declines in cognitive efficiencynot memory
The specific link between brain reserve and cogni-tive efficiency is consistent with the strong heritabilityof both MLBV1314 and cognitive efficiency (muchmore than memory)3132 Strong heritability may con-traindicate rehabilitation efforts to bolster brainreserve and cognitive efficiency However rather thanbuilding brain reserve persons may be able to pre-serve their remaining brain reserve (and protect cog-nitive efficiency) through effective disease-modifyingtherapies (which may slow brain volume loss) and bymaintaining a ldquobrain healthyrdquo lifestyle (eg aerobicexercise) Indeed cardiorespiratory fitness is posi-tively correlated with brain volume and cognitive effi-ciency in healthy persons33 and patients withMS34 Incontrast to brain reserve cognitive reserve is devel-oped through enriching life experiences The strongerprotective impact of life experience on memory rela-tive to cognitive efficiency in the current study isconsistent with lower heritability of memory relativeto cognitive efficiency3132 which is further alignedwith lower heritability of hippocampal volume (esti-mated genetic variance 5 040) relative to ICV(081)35 That is 60 of the variance in hippocampalvolume seems to be attributable to environmentalfactors (relative to 19 for ICV) Indeed enrichingcognitive experiences may have a positive impact onhippocampal volume in humans3637
Cognitive reserve may protect against cognitivedecline through superioroptimal neurocognitive pro-cessing5 Consistent with this notion functional MRIresearch has revealed differences in cerebral processingamong patients withMSwho have greater lifetime intel-lectual enrichment including greater activation (orlesser deactivation) within the brainrsquos default network18
The default network consists largely of limbic structuresincluding the hippocampus38 and has been implicatedin memory39 We have subsequently demonstrated thatdefault network activity during functional MRI predictsperformance on neuropsychological tasks of memory(but not cognitive efficiency) on a separate day40 These
links among cognitive reserve default network activityandmemory are consistent with our current finding thatcognitive reserve is specifically protective against mem-ory decline however future research should moredirectly investigate whether differences in default net-work activity mediate the relationship between intellec-tual enrichment and memory Although the currentstudy provides less support for the role of intellectualenrichment in protection against cognitive inefficiencythere was a positive correlation between cognitive leisureand cognitive efficiency We have previously shown thathigher cognitive reserve protects against cognitive inef-ficiency in MS17 although we did not control for brainreserve in that study Taken together the protectiveimpact of cognitive reserve appears to be more pro-nounced for memory than for cognitive efficiency atleast for patients with MS
Given that larger MLBV (estimated with ICV)protects against disease-related cognitive inefficiencyin MS clinical consideration of patient ICV mayimprove identification of patients at risk for cognitiveimpairment and efforts to maintain cardiorespiratoryfitness may help preserve brain reserve and cognitiveefficiency As discussed the specific link betweenbrain reserve and cognitive efficiency (not memory)in this study is consistent with results from agingstudies and should be further explored in agingAD and other neurologic populations The currentstudy also demonstrates that a cognitively enrichinglifestyle (a source of cognitive reserve) independentlyprotects against cognitive impairment (especiallymemory decline) over and above brain reserve Thisis critical because estimates of cognitive reserve andbrain reserve are correlated and the protective effectsof higher cognitive reserve in previous research mayhave been at least partially attributable to concomi-tantly higher brain reserve Our finding that early-lifecognitive leisure protects against memory declinemore than cognitive inefficiency is consistent withlower heritability of memory and hippocampal vol-ume relative to cognitive efficiency and ICV Cogni-tive rehabilitation efforts targeting memory in MSstand to be most beneficial as the hippocampus ismore affected by experience than other brain regionsFuture prospective andor experimental studiesshould investigate whether intellectual enrichment isassociated with largerincreased hippocampal volume(or lesserreduced hippocampal atrophy) in patientswith MS Finally the positive link between intellec-tual enrichment and cognition in the current and pre-vious studies is observational and cognitive leisureactivity is almost always sampled from a period beforedisease onset Longitudinal research is needed toinvestigate whether cognitive leisure moderatesdecline within MS patients as disease progressesand randomized controlled trials of intellectual
Neurology 80 June 11 2013 2191
enrichment are required to establish a causal linkbetween enrichment and protection from disease-related cognitive decline in patients already diagnosedwith MS Such evidence is needed to support a pre-scription of intellectual enrichment as a therapeuticintervention to minimize or prevent disease-relatedcognitive decline
AUTHOR CONTRIBUTIONSJames F Sumowski PhD drafted the manuscript for content contrib-
uted to the study concept and design and analysisinterpretation of the
data and performed statistical analyses Maria A Rocca MD assisted
in drafting the manuscript for content and analysisinterpretation of data
as well as acquisition of data and study supervisioncoordination Victoria
M Leavitt PhD assisted in drafting the manuscript for content and con-
tributed to the interpretation of the data Gianna Riccitelli PhD assisted
in the analysis of data and acquisition of data Giancarlo Comi MD
assisted with interpretation of the data John DeLuca PhD assisted in
drafting the manuscript for content Massimo Filippi MD assisted in
drafting the manuscript for content and interpretation of data as well
as acquisition of data study supervision and obtaining funding
STUDY FUNDINGThis project was funded in part by the NIH (R00HD060765 to JFS)
DISCLOSUREJF Sumowski reports no disclosures MA Rocca received speakersrsquo
honoraria from Biogen Idec and Serono Symposia International Founda-
tion and receives research support from the Italian Ministry of Health
and Fondazione Italiana Sclerosi Multipla VM Leavitt and G Riccitelli
report no disclosures G Comi has received personal compensation for
activities with Teva Neuroscience Merck Serono Bayer Schering No-
vartis Sanofi-Aventis Pharmaceuticals and Biogen-Dompeacute as a consul-
tant speaker or scientific advisory board member J DeLuca received
salary support through compensation to the Kessler Foundation Research
Center from Biogen-Idec He is also a consultant for Biogen M Filippi
serves on scientific advisory boards for Teva Pharmaceutical Industries
Ltd and Genmab AS has received funding for travel from Bayer Scher-
ing Pharma Biogen-Dompeacute Genmab AS Merck Serono and Teva
Pharmaceutical Industries Ltd serves as a consultant to Bayer Schering
Pharma Biogen-Dompeacute Genmab AS Merck Serono and Teva Phar-
maceutical Industries Ltd serves on speakersrsquo bureaus for Bayer Schering
Pharma Biogen-Dompeacute Genmab AS Merck Serono and Teva Phar-
maceutical Industries Ltd and receives research support from Bayer
Schering Pharma Biogen-Dompeacute Genmab AS Merck Serono Teva
Pharmaceutical Industries Ltd and Fondazione Italiana Sclerosi Multi-
pla Go to Neurologyorg for full disclosures
Received November 13 2012 Accepted in final form March 7 2013
REFERENCES1 Chiaravalloti ND DeLuca J Cognitive impairment in
multiple sclerosis Lancet Neurol 200871139ndash1151
2 Filippi M Rocca MA Benedict RH et al The contribu-
tion of MRI in assessing cognitive impairment in multiple
sclerosis Neurology 2010752121ndash2128
3 Bennett DA Schneider JA Arvanitakis Z et al Neuropathol-
ogy of older persons without cognitive impairment from two
community-based studies Neurology 2006661837ndash1844
4 Satz P Brain reserve capacity on symptom onset after
brain injury a formulation and review of evidence for
threshold theory Neuropsychology 19937273ndash295
5 Stern Y What is cognitive reserve Theory and research
application of the reserve concept J Int Neuropsychol Soc
20028448ndash460
6 MacLullich AM Ferguson KJ Deary IJ Seckl JR
Starr JM Wardlaw JM Intracranial capacity and brain
volumes are associated with cognition in healthy elderly
men Neurology 200259169ndash174
7 Reynolds MD Dodge HH DeKosky ST Ganguli M
Small head size is related to low Mini-Mental State Exam-
ination scores in a community sample of nondemented
older adults Neurology 199953228ndash229
8 Tisserand DJ Bosma H Van Boxtel MP Jolles J Head
size and cognitive ability in nondemented older adults are
related Neurology 200156969ndash971
9 Farias ST Mungas D Reed B et al Maximal brain size
remains an important predictor of cognition in old age
independent of current brain pathology Neurobiol Aging
2012331758ndash1768
10 Perneczky R Wagenpfeil S Lunetta KL et al Head cir-
cumference atrophy and cognition implications for brain
reserve in Alzheimer disease Neurology 201075137ndash142
11 Schofield PW Logroscino G Andrews HF Albert S
Stern Y An association between head circumference and
Alzheimerrsquos disease in a population-based study of aging
and dementia Neurology 19974930ndash37
12 Borenstein Graves A Mortimer JA Bowen JD et al Head
circumference and incident Alzheimerrsquos disease modifica-
tion by apolipoprotein E Neurology 2001571453ndash1460
13 Bartley AJ Jones DW Weinberger DR Genetic variabil-
ity of human brain size and cortical gyral patterns Brain
1997120(pt 2)257ndash269
14 Tramo MJ Loftus WC Stukel TA Green RL Weaver JB
Gazzaniga MS Brain size head size and intelligence quo-
tient in monozygotic twins Neurology 1998501246ndash1252
15 Bennett DA Wilson RS Schneider JA et al Education
modifies the relation of AD pathology to level of cognitive
function in older persons Neurology 2003601909ndash1915
16 Roe CM Mintun MA DrsquoAngelo G Xiong C Grant EA
Morris JC Alzheimer disease and cognitive reserve varia-
tion of education effect with carbon 11-labeled Pittsburgh
Compound B uptake Arch Neurol 2008651467ndash1471
17 Sumowski JF Chiaravalloti N Wylie G Deluca J Cog-
nitive reserve moderates the negative effect of brain atro-
phy on cognitive efficiency in multiple sclerosis J Int
Neuropsychol Soc 200915606ndash612
18 Sumowski JF Wylie GR Deluca J Chiaravalloti N Intel-
lectual enrichment is linked to cerebral efficiency in mul-
tiple sclerosis functional magnetic resonance imaging
evidence for cognitive reserve Brain 2010133362ndash374
19 Sumowski JF Wylie GR Chiaravalloti N DeLuca J
Intellectual enrichment lessens the effect of brain atrophy
on learning and memory in multiple sclerosis Neurology
2010741942ndash1945
20 Sumowski JF Wylie GR Gonnella A Chiaravalloti N
Deluca J Premorbid cognitive leisure independently con-
tributes to cognitive reserve in multiple sclerosis Neurology
2010751428ndash1431
21 Deary IJ Penke L Johnson W The neuroscience of
human intelligence differences Nat Rev Neurosci 2010
11201ndash211
22 Polman CH Reingold SC Banwell B et al Diagnostic cri-
teria for multiple sclerosis 2010 revisions to the McDonald
criteria Ann Neurol 201169292ndash302
23 Amato MP Portaccio E Goretti B et al The Raorsquos Brief
Repeatable Battery and Stroop Test normative values with
age education and gender corrections in an Italian popu-
lation Mult Scler 200612787ndash793
2192 Neurology 80 June 11 2013
24 Courchesne E Chisum HJ Townsend J et al Normal brain
development and aging quantitative analysis at in vivo MR
imaging in healthy volunteers Radiology 2000216672ndash782
25 Mori E Hirono N Yamashita H et al Premorbid brain size
as a determinant of reserve capacity against intellectual decline
in Alzheimerrsquos disease Am J Psychiatry 199715418ndash24
26 Rabbitt P Mogapi O Scott M et al Effects of global atro-
phy white matter lesions and cerebral blood flow on age-
related changes in speed memory intelligence vocabulary
and frontal function Neuropsychology 200721684ndash695
27 Kramer JH Mungas D Reed BR et al Longitudinal MRI
and cognitive change in healthy elderly Neuropsychology
200721412ndash418
28 Edland SD Xu Y Plevak M et al Total intracranial vol-
ume normative values and lack of association with Alz-
heimerrsquos disease Neurology 200259272ndash274
29 Jenkins R Fox NC Rossor AM Harvey RJ Rossor MN
Intracranial volume and Alzheimer disease evidence against
the cerebral reserve hypothesis Arch Neurol 200057220ndash224
30 Tabert MH Manly JJ Liu X et al Neuropsychological
prediction of conversion to Alzheimer disease in patients
with mild cognitive impairment Arch Gen Psychiatry
200663916ndash924
31 Pedersen NL Plomin R Nesselroade JR McClearn GE A
quantitative genetic analysis of cognitive abilities during the
second half of the life span Psychol Sci 19923346ndash353
32 McClearn GE Johansson B Berg S et al Substantial
genetic influence on cognitive abilities in twins 80 or more
years old Science 19972761560ndash1563
33 Hillman CH Erickson KI Kramer AF Be smart exercise
your heart exercise effects on brain and cognition Nat
Rev Neurosci 2008958ndash65
34 Prakash RS Snook EM Motl RW Kramer AF Aerobic
fitness is associated with gray matter volume and white
matter integrity in multiple sclerosis Brain Res 2010
134141ndash51
35 Sullivan EV Pfefferbaum A Swan GE Carmelli D Her-
itability of hippocampal size in elderly twin men equiva-
lent influence from genes and environment Hippocampus
200111754ndash762
36 Maguire EA Gadian DG Johnsrude IS et al Navigation-
related structural change in the hippocampi of taxi drivers
Proc Natl Acad Sci USA 2000974398ndash4403
37 Draganski B Gaser C Kempermann G et al Temporal
and spatial dynamics of brain structure changes during
extensive learning J Neurosci 2006266314ndash6317
38 Greicius MD Supekar K Menon V Dougherty RF Rest-
ing-state functional connectivity reflects structural connec-
tivity in the default mode network Cereb Cortex 200919
72ndash78
39 Kim H A dual-subsystem model of the brainrsquos default
network self-referential processing memory retrieval pro-
cesses and autobiographical memory retrieval Neuro-
image 201261966ndash977
40 Sumowski JF Wylie GR Leavitt VM Chiaravalloti ND
Deluca J Default network activity is a sensitive and spe-
cific biomarker of memory in multiple sclerosis Mult Scler
201219199ndash208
Spring AAN Webinars Help for Your Practice CME forYour Career
The American Academy of Neurology offers cost-effective Practice Management Webinars that canbe attended live or through convenient recordings posted online five days after the event AANmembers can save 25 on all regular webinars Plus physicians can earn 15 valuable CME creditsfor each webinar and administrators receive a certificate of completion Mark your calendar forupcoming programs and register today for these and other 2013 webinars at wwwaancomviewpmw13
Online Now Correct Coding for Chemodenervation
Online Now Working with NPs and PAs to Maximize Office Productivity
Online Now Remaining Relevant in the Changing Health Care Payment and Care DeliverySystems
Online Now Coding Accurately for Epilepsy
June 25 EM Minimize Mistakes Maximize Reimbursement
Neurology 80 June 11 2013 2193
DOI 101212WNL0b013e318296e98b2013802186-2193 Published Online before print May 10 2013Neurology
James F Sumowski Maria A Rocca Victoria M Leavitt et al you use it
Brain reserve and cognitive reserve in multiple sclerosis What youve got and how
This information is current as of May 10 2013
ServicesUpdated Information amp
httpwwwneurologyorgcontent80242186fullhtmlincluding high resolution figures can be found at
Supplementary Material
e318296e98bDC1htmlhttpwwwneurologyorgcontentsuppl20130723WNL0b013Supplementary material can be found at
References
1httpwwwneurologyorgcontent80242186fullhtmlref-list-at This article cites 40 articles 21 of which you can access for free
Citations
icleshttpwwwneurologyorgcontent80242186fullhtmlotherartThis article has been cited by 1 HighWire-hosted articles
Subspecialty Collections
httpwwwneurologyorgcgicollectionmultiple_sclerosisMultiple sclerosis
httpwwwneurologyorgcgicollectionmemoryMemory
_dementiahttpwwwneurologyorgcgicollectionall_cognitive_disordersAll Cognitive DisordersDementiafollowing collection(s) This article along with others on similar topics appears in the
Errata
httpwwwneurologyorgcontent816604fullpdf or next page
An erratum has been published regarding this article Please see
Permissions amp Licensing
httpwwwneurologyorgmiscaboutxhtmlpermissionsor in its entirety can be found online atInformation about reproducing this article in parts (figurestables)
Reprints
httpwwwneurologyorgmiscaddirxhtmlreprintsusInformation about ordering reprints can be found online
CORRECTIONBrain reserve and cognitive reserve in multiple sclerosis What yoursquove got and how you use it
In the article ldquoBrain reserve and cognitive reserve in multiple sclerosis What yoursquove got and how you use itrdquo by JF Sumowski et al (Neurologyreg
2013802186ndash2193) there is an error in figures 1 and 2 where the lines are switched The corrected figures are below The editorial staff regrets the error
Figure 1 Brain reserve protects against disease-relatedcognitive decline
Graphical depiction of (A) the positive correlation between intracra-nial volume (ICV) (brain reserve) and overall cognitive status and (B)the interaction between ICV and T2 lesion load (T2LL) wherebylarger ICV moderates the negative impact of T2LL on cognitivestatus
Figure 2 Cognitive reserve independently protectsagainst disease-related cognitive declineover and above brain reserve
Graphical depiction of (A) the positive correlation between early-lifecognitive leisure (cognitive reserve) and overall cognitive status and(B) the interaction between early-life cognitive leisure and T2 lesionload whereby greater engagement in cognitive leisure moderatesthe negative impact of T2 lesion load on cognitive status These re-sults demonstrate the independent protection afforded by cognitivereserve over and above brain reserve (intracranial volume)
604 copy 2013 American Academy of Neurology
scores710 but the Mini-Mental State Examinationmakes minimal memory demands Finally somestudies show that larger head size protects againstdementia1112 but other studies do not2829 Althoughmemory impairment is the hallmark of dementia allelders with dementia also have a decline in nonme-mory cognition It is conceivable that higher brainreserve protects against nonmemory cognitive declineassociated with conversion from amnestic mild cog-nitive impairment to dementia Indeed cognitiveinefficiency is among the best predictors of conver-sion from mild cognitive impairment to dementia30
In summary the agingAD literature appears to belargely consistent with our finding that brain reserveis protective against declines in cognitive efficiencynot memory
The specific link between brain reserve and cogni-tive efficiency is consistent with the strong heritabilityof both MLBV1314 and cognitive efficiency (muchmore than memory)3132 Strong heritability may con-traindicate rehabilitation efforts to bolster brainreserve and cognitive efficiency However rather thanbuilding brain reserve persons may be able to pre-serve their remaining brain reserve (and protect cog-nitive efficiency) through effective disease-modifyingtherapies (which may slow brain volume loss) and bymaintaining a ldquobrain healthyrdquo lifestyle (eg aerobicexercise) Indeed cardiorespiratory fitness is posi-tively correlated with brain volume and cognitive effi-ciency in healthy persons33 and patients withMS34 Incontrast to brain reserve cognitive reserve is devel-oped through enriching life experiences The strongerprotective impact of life experience on memory rela-tive to cognitive efficiency in the current study isconsistent with lower heritability of memory relativeto cognitive efficiency3132 which is further alignedwith lower heritability of hippocampal volume (esti-mated genetic variance 5 040) relative to ICV(081)35 That is 60 of the variance in hippocampalvolume seems to be attributable to environmentalfactors (relative to 19 for ICV) Indeed enrichingcognitive experiences may have a positive impact onhippocampal volume in humans3637
Cognitive reserve may protect against cognitivedecline through superioroptimal neurocognitive pro-cessing5 Consistent with this notion functional MRIresearch has revealed differences in cerebral processingamong patients withMSwho have greater lifetime intel-lectual enrichment including greater activation (orlesser deactivation) within the brainrsquos default network18
The default network consists largely of limbic structuresincluding the hippocampus38 and has been implicatedin memory39 We have subsequently demonstrated thatdefault network activity during functional MRI predictsperformance on neuropsychological tasks of memory(but not cognitive efficiency) on a separate day40 These
links among cognitive reserve default network activityandmemory are consistent with our current finding thatcognitive reserve is specifically protective against mem-ory decline however future research should moredirectly investigate whether differences in default net-work activity mediate the relationship between intellec-tual enrichment and memory Although the currentstudy provides less support for the role of intellectualenrichment in protection against cognitive inefficiencythere was a positive correlation between cognitive leisureand cognitive efficiency We have previously shown thathigher cognitive reserve protects against cognitive inef-ficiency in MS17 although we did not control for brainreserve in that study Taken together the protectiveimpact of cognitive reserve appears to be more pro-nounced for memory than for cognitive efficiency atleast for patients with MS
Given that larger MLBV (estimated with ICV)protects against disease-related cognitive inefficiencyin MS clinical consideration of patient ICV mayimprove identification of patients at risk for cognitiveimpairment and efforts to maintain cardiorespiratoryfitness may help preserve brain reserve and cognitiveefficiency As discussed the specific link betweenbrain reserve and cognitive efficiency (not memory)in this study is consistent with results from agingstudies and should be further explored in agingAD and other neurologic populations The currentstudy also demonstrates that a cognitively enrichinglifestyle (a source of cognitive reserve) independentlyprotects against cognitive impairment (especiallymemory decline) over and above brain reserve Thisis critical because estimates of cognitive reserve andbrain reserve are correlated and the protective effectsof higher cognitive reserve in previous research mayhave been at least partially attributable to concomi-tantly higher brain reserve Our finding that early-lifecognitive leisure protects against memory declinemore than cognitive inefficiency is consistent withlower heritability of memory and hippocampal vol-ume relative to cognitive efficiency and ICV Cogni-tive rehabilitation efforts targeting memory in MSstand to be most beneficial as the hippocampus ismore affected by experience than other brain regionsFuture prospective andor experimental studiesshould investigate whether intellectual enrichment isassociated with largerincreased hippocampal volume(or lesserreduced hippocampal atrophy) in patientswith MS Finally the positive link between intellec-tual enrichment and cognition in the current and pre-vious studies is observational and cognitive leisureactivity is almost always sampled from a period beforedisease onset Longitudinal research is needed toinvestigate whether cognitive leisure moderatesdecline within MS patients as disease progressesand randomized controlled trials of intellectual
Neurology 80 June 11 2013 2191
enrichment are required to establish a causal linkbetween enrichment and protection from disease-related cognitive decline in patients already diagnosedwith MS Such evidence is needed to support a pre-scription of intellectual enrichment as a therapeuticintervention to minimize or prevent disease-relatedcognitive decline
AUTHOR CONTRIBUTIONSJames F Sumowski PhD drafted the manuscript for content contrib-
uted to the study concept and design and analysisinterpretation of the
data and performed statistical analyses Maria A Rocca MD assisted
in drafting the manuscript for content and analysisinterpretation of data
as well as acquisition of data and study supervisioncoordination Victoria
M Leavitt PhD assisted in drafting the manuscript for content and con-
tributed to the interpretation of the data Gianna Riccitelli PhD assisted
in the analysis of data and acquisition of data Giancarlo Comi MD
assisted with interpretation of the data John DeLuca PhD assisted in
drafting the manuscript for content Massimo Filippi MD assisted in
drafting the manuscript for content and interpretation of data as well
as acquisition of data study supervision and obtaining funding
STUDY FUNDINGThis project was funded in part by the NIH (R00HD060765 to JFS)
DISCLOSUREJF Sumowski reports no disclosures MA Rocca received speakersrsquo
honoraria from Biogen Idec and Serono Symposia International Founda-
tion and receives research support from the Italian Ministry of Health
and Fondazione Italiana Sclerosi Multipla VM Leavitt and G Riccitelli
report no disclosures G Comi has received personal compensation for
activities with Teva Neuroscience Merck Serono Bayer Schering No-
vartis Sanofi-Aventis Pharmaceuticals and Biogen-Dompeacute as a consul-
tant speaker or scientific advisory board member J DeLuca received
salary support through compensation to the Kessler Foundation Research
Center from Biogen-Idec He is also a consultant for Biogen M Filippi
serves on scientific advisory boards for Teva Pharmaceutical Industries
Ltd and Genmab AS has received funding for travel from Bayer Scher-
ing Pharma Biogen-Dompeacute Genmab AS Merck Serono and Teva
Pharmaceutical Industries Ltd serves as a consultant to Bayer Schering
Pharma Biogen-Dompeacute Genmab AS Merck Serono and Teva Phar-
maceutical Industries Ltd serves on speakersrsquo bureaus for Bayer Schering
Pharma Biogen-Dompeacute Genmab AS Merck Serono and Teva Phar-
maceutical Industries Ltd and receives research support from Bayer
Schering Pharma Biogen-Dompeacute Genmab AS Merck Serono Teva
Pharmaceutical Industries Ltd and Fondazione Italiana Sclerosi Multi-
pla Go to Neurologyorg for full disclosures
Received November 13 2012 Accepted in final form March 7 2013
REFERENCES1 Chiaravalloti ND DeLuca J Cognitive impairment in
multiple sclerosis Lancet Neurol 200871139ndash1151
2 Filippi M Rocca MA Benedict RH et al The contribu-
tion of MRI in assessing cognitive impairment in multiple
sclerosis Neurology 2010752121ndash2128
3 Bennett DA Schneider JA Arvanitakis Z et al Neuropathol-
ogy of older persons without cognitive impairment from two
community-based studies Neurology 2006661837ndash1844
4 Satz P Brain reserve capacity on symptom onset after
brain injury a formulation and review of evidence for
threshold theory Neuropsychology 19937273ndash295
5 Stern Y What is cognitive reserve Theory and research
application of the reserve concept J Int Neuropsychol Soc
20028448ndash460
6 MacLullich AM Ferguson KJ Deary IJ Seckl JR
Starr JM Wardlaw JM Intracranial capacity and brain
volumes are associated with cognition in healthy elderly
men Neurology 200259169ndash174
7 Reynolds MD Dodge HH DeKosky ST Ganguli M
Small head size is related to low Mini-Mental State Exam-
ination scores in a community sample of nondemented
older adults Neurology 199953228ndash229
8 Tisserand DJ Bosma H Van Boxtel MP Jolles J Head
size and cognitive ability in nondemented older adults are
related Neurology 200156969ndash971
9 Farias ST Mungas D Reed B et al Maximal brain size
remains an important predictor of cognition in old age
independent of current brain pathology Neurobiol Aging
2012331758ndash1768
10 Perneczky R Wagenpfeil S Lunetta KL et al Head cir-
cumference atrophy and cognition implications for brain
reserve in Alzheimer disease Neurology 201075137ndash142
11 Schofield PW Logroscino G Andrews HF Albert S
Stern Y An association between head circumference and
Alzheimerrsquos disease in a population-based study of aging
and dementia Neurology 19974930ndash37
12 Borenstein Graves A Mortimer JA Bowen JD et al Head
circumference and incident Alzheimerrsquos disease modifica-
tion by apolipoprotein E Neurology 2001571453ndash1460
13 Bartley AJ Jones DW Weinberger DR Genetic variabil-
ity of human brain size and cortical gyral patterns Brain
1997120(pt 2)257ndash269
14 Tramo MJ Loftus WC Stukel TA Green RL Weaver JB
Gazzaniga MS Brain size head size and intelligence quo-
tient in monozygotic twins Neurology 1998501246ndash1252
15 Bennett DA Wilson RS Schneider JA et al Education
modifies the relation of AD pathology to level of cognitive
function in older persons Neurology 2003601909ndash1915
16 Roe CM Mintun MA DrsquoAngelo G Xiong C Grant EA
Morris JC Alzheimer disease and cognitive reserve varia-
tion of education effect with carbon 11-labeled Pittsburgh
Compound B uptake Arch Neurol 2008651467ndash1471
17 Sumowski JF Chiaravalloti N Wylie G Deluca J Cog-
nitive reserve moderates the negative effect of brain atro-
phy on cognitive efficiency in multiple sclerosis J Int
Neuropsychol Soc 200915606ndash612
18 Sumowski JF Wylie GR Deluca J Chiaravalloti N Intel-
lectual enrichment is linked to cerebral efficiency in mul-
tiple sclerosis functional magnetic resonance imaging
evidence for cognitive reserve Brain 2010133362ndash374
19 Sumowski JF Wylie GR Chiaravalloti N DeLuca J
Intellectual enrichment lessens the effect of brain atrophy
on learning and memory in multiple sclerosis Neurology
2010741942ndash1945
20 Sumowski JF Wylie GR Gonnella A Chiaravalloti N
Deluca J Premorbid cognitive leisure independently con-
tributes to cognitive reserve in multiple sclerosis Neurology
2010751428ndash1431
21 Deary IJ Penke L Johnson W The neuroscience of
human intelligence differences Nat Rev Neurosci 2010
11201ndash211
22 Polman CH Reingold SC Banwell B et al Diagnostic cri-
teria for multiple sclerosis 2010 revisions to the McDonald
criteria Ann Neurol 201169292ndash302
23 Amato MP Portaccio E Goretti B et al The Raorsquos Brief
Repeatable Battery and Stroop Test normative values with
age education and gender corrections in an Italian popu-
lation Mult Scler 200612787ndash793
2192 Neurology 80 June 11 2013
24 Courchesne E Chisum HJ Townsend J et al Normal brain
development and aging quantitative analysis at in vivo MR
imaging in healthy volunteers Radiology 2000216672ndash782
25 Mori E Hirono N Yamashita H et al Premorbid brain size
as a determinant of reserve capacity against intellectual decline
in Alzheimerrsquos disease Am J Psychiatry 199715418ndash24
26 Rabbitt P Mogapi O Scott M et al Effects of global atro-
phy white matter lesions and cerebral blood flow on age-
related changes in speed memory intelligence vocabulary
and frontal function Neuropsychology 200721684ndash695
27 Kramer JH Mungas D Reed BR et al Longitudinal MRI
and cognitive change in healthy elderly Neuropsychology
200721412ndash418
28 Edland SD Xu Y Plevak M et al Total intracranial vol-
ume normative values and lack of association with Alz-
heimerrsquos disease Neurology 200259272ndash274
29 Jenkins R Fox NC Rossor AM Harvey RJ Rossor MN
Intracranial volume and Alzheimer disease evidence against
the cerebral reserve hypothesis Arch Neurol 200057220ndash224
30 Tabert MH Manly JJ Liu X et al Neuropsychological
prediction of conversion to Alzheimer disease in patients
with mild cognitive impairment Arch Gen Psychiatry
200663916ndash924
31 Pedersen NL Plomin R Nesselroade JR McClearn GE A
quantitative genetic analysis of cognitive abilities during the
second half of the life span Psychol Sci 19923346ndash353
32 McClearn GE Johansson B Berg S et al Substantial
genetic influence on cognitive abilities in twins 80 or more
years old Science 19972761560ndash1563
33 Hillman CH Erickson KI Kramer AF Be smart exercise
your heart exercise effects on brain and cognition Nat
Rev Neurosci 2008958ndash65
34 Prakash RS Snook EM Motl RW Kramer AF Aerobic
fitness is associated with gray matter volume and white
matter integrity in multiple sclerosis Brain Res 2010
134141ndash51
35 Sullivan EV Pfefferbaum A Swan GE Carmelli D Her-
itability of hippocampal size in elderly twin men equiva-
lent influence from genes and environment Hippocampus
200111754ndash762
36 Maguire EA Gadian DG Johnsrude IS et al Navigation-
related structural change in the hippocampi of taxi drivers
Proc Natl Acad Sci USA 2000974398ndash4403
37 Draganski B Gaser C Kempermann G et al Temporal
and spatial dynamics of brain structure changes during
extensive learning J Neurosci 2006266314ndash6317
38 Greicius MD Supekar K Menon V Dougherty RF Rest-
ing-state functional connectivity reflects structural connec-
tivity in the default mode network Cereb Cortex 200919
72ndash78
39 Kim H A dual-subsystem model of the brainrsquos default
network self-referential processing memory retrieval pro-
cesses and autobiographical memory retrieval Neuro-
image 201261966ndash977
40 Sumowski JF Wylie GR Leavitt VM Chiaravalloti ND
Deluca J Default network activity is a sensitive and spe-
cific biomarker of memory in multiple sclerosis Mult Scler
201219199ndash208
Spring AAN Webinars Help for Your Practice CME forYour Career
The American Academy of Neurology offers cost-effective Practice Management Webinars that canbe attended live or through convenient recordings posted online five days after the event AANmembers can save 25 on all regular webinars Plus physicians can earn 15 valuable CME creditsfor each webinar and administrators receive a certificate of completion Mark your calendar forupcoming programs and register today for these and other 2013 webinars at wwwaancomviewpmw13
Online Now Correct Coding for Chemodenervation
Online Now Working with NPs and PAs to Maximize Office Productivity
Online Now Remaining Relevant in the Changing Health Care Payment and Care DeliverySystems
Online Now Coding Accurately for Epilepsy
June 25 EM Minimize Mistakes Maximize Reimbursement
Neurology 80 June 11 2013 2193
DOI 101212WNL0b013e318296e98b2013802186-2193 Published Online before print May 10 2013Neurology
James F Sumowski Maria A Rocca Victoria M Leavitt et al you use it
Brain reserve and cognitive reserve in multiple sclerosis What youve got and how
This information is current as of May 10 2013
ServicesUpdated Information amp
httpwwwneurologyorgcontent80242186fullhtmlincluding high resolution figures can be found at
Supplementary Material
e318296e98bDC1htmlhttpwwwneurologyorgcontentsuppl20130723WNL0b013Supplementary material can be found at
References
1httpwwwneurologyorgcontent80242186fullhtmlref-list-at This article cites 40 articles 21 of which you can access for free
Citations
icleshttpwwwneurologyorgcontent80242186fullhtmlotherartThis article has been cited by 1 HighWire-hosted articles
Subspecialty Collections
httpwwwneurologyorgcgicollectionmultiple_sclerosisMultiple sclerosis
httpwwwneurologyorgcgicollectionmemoryMemory
_dementiahttpwwwneurologyorgcgicollectionall_cognitive_disordersAll Cognitive DisordersDementiafollowing collection(s) This article along with others on similar topics appears in the
Errata
httpwwwneurologyorgcontent816604fullpdf or next page
An erratum has been published regarding this article Please see
Permissions amp Licensing
httpwwwneurologyorgmiscaboutxhtmlpermissionsor in its entirety can be found online atInformation about reproducing this article in parts (figurestables)
Reprints
httpwwwneurologyorgmiscaddirxhtmlreprintsusInformation about ordering reprints can be found online
CORRECTIONBrain reserve and cognitive reserve in multiple sclerosis What yoursquove got and how you use it
In the article ldquoBrain reserve and cognitive reserve in multiple sclerosis What yoursquove got and how you use itrdquo by JF Sumowski et al (Neurologyreg
2013802186ndash2193) there is an error in figures 1 and 2 where the lines are switched The corrected figures are below The editorial staff regrets the error
Figure 1 Brain reserve protects against disease-relatedcognitive decline
Graphical depiction of (A) the positive correlation between intracra-nial volume (ICV) (brain reserve) and overall cognitive status and (B)the interaction between ICV and T2 lesion load (T2LL) wherebylarger ICV moderates the negative impact of T2LL on cognitivestatus
Figure 2 Cognitive reserve independently protectsagainst disease-related cognitive declineover and above brain reserve
Graphical depiction of (A) the positive correlation between early-lifecognitive leisure (cognitive reserve) and overall cognitive status and(B) the interaction between early-life cognitive leisure and T2 lesionload whereby greater engagement in cognitive leisure moderatesthe negative impact of T2 lesion load on cognitive status These re-sults demonstrate the independent protection afforded by cognitivereserve over and above brain reserve (intracranial volume)
604 copy 2013 American Academy of Neurology
enrichment are required to establish a causal linkbetween enrichment and protection from disease-related cognitive decline in patients already diagnosedwith MS Such evidence is needed to support a pre-scription of intellectual enrichment as a therapeuticintervention to minimize or prevent disease-relatedcognitive decline
AUTHOR CONTRIBUTIONSJames F Sumowski PhD drafted the manuscript for content contrib-
uted to the study concept and design and analysisinterpretation of the
data and performed statistical analyses Maria A Rocca MD assisted
in drafting the manuscript for content and analysisinterpretation of data
as well as acquisition of data and study supervisioncoordination Victoria
M Leavitt PhD assisted in drafting the manuscript for content and con-
tributed to the interpretation of the data Gianna Riccitelli PhD assisted
in the analysis of data and acquisition of data Giancarlo Comi MD
assisted with interpretation of the data John DeLuca PhD assisted in
drafting the manuscript for content Massimo Filippi MD assisted in
drafting the manuscript for content and interpretation of data as well
as acquisition of data study supervision and obtaining funding
STUDY FUNDINGThis project was funded in part by the NIH (R00HD060765 to JFS)
DISCLOSUREJF Sumowski reports no disclosures MA Rocca received speakersrsquo
honoraria from Biogen Idec and Serono Symposia International Founda-
tion and receives research support from the Italian Ministry of Health
and Fondazione Italiana Sclerosi Multipla VM Leavitt and G Riccitelli
report no disclosures G Comi has received personal compensation for
activities with Teva Neuroscience Merck Serono Bayer Schering No-
vartis Sanofi-Aventis Pharmaceuticals and Biogen-Dompeacute as a consul-
tant speaker or scientific advisory board member J DeLuca received
salary support through compensation to the Kessler Foundation Research
Center from Biogen-Idec He is also a consultant for Biogen M Filippi
serves on scientific advisory boards for Teva Pharmaceutical Industries
Ltd and Genmab AS has received funding for travel from Bayer Scher-
ing Pharma Biogen-Dompeacute Genmab AS Merck Serono and Teva
Pharmaceutical Industries Ltd serves as a consultant to Bayer Schering
Pharma Biogen-Dompeacute Genmab AS Merck Serono and Teva Phar-
maceutical Industries Ltd serves on speakersrsquo bureaus for Bayer Schering
Pharma Biogen-Dompeacute Genmab AS Merck Serono and Teva Phar-
maceutical Industries Ltd and receives research support from Bayer
Schering Pharma Biogen-Dompeacute Genmab AS Merck Serono Teva
Pharmaceutical Industries Ltd and Fondazione Italiana Sclerosi Multi-
pla Go to Neurologyorg for full disclosures
Received November 13 2012 Accepted in final form March 7 2013
REFERENCES1 Chiaravalloti ND DeLuca J Cognitive impairment in
multiple sclerosis Lancet Neurol 200871139ndash1151
2 Filippi M Rocca MA Benedict RH et al The contribu-
tion of MRI in assessing cognitive impairment in multiple
sclerosis Neurology 2010752121ndash2128
3 Bennett DA Schneider JA Arvanitakis Z et al Neuropathol-
ogy of older persons without cognitive impairment from two
community-based studies Neurology 2006661837ndash1844
4 Satz P Brain reserve capacity on symptom onset after
brain injury a formulation and review of evidence for
threshold theory Neuropsychology 19937273ndash295
5 Stern Y What is cognitive reserve Theory and research
application of the reserve concept J Int Neuropsychol Soc
20028448ndash460
6 MacLullich AM Ferguson KJ Deary IJ Seckl JR
Starr JM Wardlaw JM Intracranial capacity and brain
volumes are associated with cognition in healthy elderly
men Neurology 200259169ndash174
7 Reynolds MD Dodge HH DeKosky ST Ganguli M
Small head size is related to low Mini-Mental State Exam-
ination scores in a community sample of nondemented
older adults Neurology 199953228ndash229
8 Tisserand DJ Bosma H Van Boxtel MP Jolles J Head
size and cognitive ability in nondemented older adults are
related Neurology 200156969ndash971
9 Farias ST Mungas D Reed B et al Maximal brain size
remains an important predictor of cognition in old age
independent of current brain pathology Neurobiol Aging
2012331758ndash1768
10 Perneczky R Wagenpfeil S Lunetta KL et al Head cir-
cumference atrophy and cognition implications for brain
reserve in Alzheimer disease Neurology 201075137ndash142
11 Schofield PW Logroscino G Andrews HF Albert S
Stern Y An association between head circumference and
Alzheimerrsquos disease in a population-based study of aging
and dementia Neurology 19974930ndash37
12 Borenstein Graves A Mortimer JA Bowen JD et al Head
circumference and incident Alzheimerrsquos disease modifica-
tion by apolipoprotein E Neurology 2001571453ndash1460
13 Bartley AJ Jones DW Weinberger DR Genetic variabil-
ity of human brain size and cortical gyral patterns Brain
1997120(pt 2)257ndash269
14 Tramo MJ Loftus WC Stukel TA Green RL Weaver JB
Gazzaniga MS Brain size head size and intelligence quo-
tient in monozygotic twins Neurology 1998501246ndash1252
15 Bennett DA Wilson RS Schneider JA et al Education
modifies the relation of AD pathology to level of cognitive
function in older persons Neurology 2003601909ndash1915
16 Roe CM Mintun MA DrsquoAngelo G Xiong C Grant EA
Morris JC Alzheimer disease and cognitive reserve varia-
tion of education effect with carbon 11-labeled Pittsburgh
Compound B uptake Arch Neurol 2008651467ndash1471
17 Sumowski JF Chiaravalloti N Wylie G Deluca J Cog-
nitive reserve moderates the negative effect of brain atro-
phy on cognitive efficiency in multiple sclerosis J Int
Neuropsychol Soc 200915606ndash612
18 Sumowski JF Wylie GR Deluca J Chiaravalloti N Intel-
lectual enrichment is linked to cerebral efficiency in mul-
tiple sclerosis functional magnetic resonance imaging
evidence for cognitive reserve Brain 2010133362ndash374
19 Sumowski JF Wylie GR Chiaravalloti N DeLuca J
Intellectual enrichment lessens the effect of brain atrophy
on learning and memory in multiple sclerosis Neurology
2010741942ndash1945
20 Sumowski JF Wylie GR Gonnella A Chiaravalloti N
Deluca J Premorbid cognitive leisure independently con-
tributes to cognitive reserve in multiple sclerosis Neurology
2010751428ndash1431
21 Deary IJ Penke L Johnson W The neuroscience of
human intelligence differences Nat Rev Neurosci 2010
11201ndash211
22 Polman CH Reingold SC Banwell B et al Diagnostic cri-
teria for multiple sclerosis 2010 revisions to the McDonald
criteria Ann Neurol 201169292ndash302
23 Amato MP Portaccio E Goretti B et al The Raorsquos Brief
Repeatable Battery and Stroop Test normative values with
age education and gender corrections in an Italian popu-
lation Mult Scler 200612787ndash793
2192 Neurology 80 June 11 2013
24 Courchesne E Chisum HJ Townsend J et al Normal brain
development and aging quantitative analysis at in vivo MR
imaging in healthy volunteers Radiology 2000216672ndash782
25 Mori E Hirono N Yamashita H et al Premorbid brain size
as a determinant of reserve capacity against intellectual decline
in Alzheimerrsquos disease Am J Psychiatry 199715418ndash24
26 Rabbitt P Mogapi O Scott M et al Effects of global atro-
phy white matter lesions and cerebral blood flow on age-
related changes in speed memory intelligence vocabulary
and frontal function Neuropsychology 200721684ndash695
27 Kramer JH Mungas D Reed BR et al Longitudinal MRI
and cognitive change in healthy elderly Neuropsychology
200721412ndash418
28 Edland SD Xu Y Plevak M et al Total intracranial vol-
ume normative values and lack of association with Alz-
heimerrsquos disease Neurology 200259272ndash274
29 Jenkins R Fox NC Rossor AM Harvey RJ Rossor MN
Intracranial volume and Alzheimer disease evidence against
the cerebral reserve hypothesis Arch Neurol 200057220ndash224
30 Tabert MH Manly JJ Liu X et al Neuropsychological
prediction of conversion to Alzheimer disease in patients
with mild cognitive impairment Arch Gen Psychiatry
200663916ndash924
31 Pedersen NL Plomin R Nesselroade JR McClearn GE A
quantitative genetic analysis of cognitive abilities during the
second half of the life span Psychol Sci 19923346ndash353
32 McClearn GE Johansson B Berg S et al Substantial
genetic influence on cognitive abilities in twins 80 or more
years old Science 19972761560ndash1563
33 Hillman CH Erickson KI Kramer AF Be smart exercise
your heart exercise effects on brain and cognition Nat
Rev Neurosci 2008958ndash65
34 Prakash RS Snook EM Motl RW Kramer AF Aerobic
fitness is associated with gray matter volume and white
matter integrity in multiple sclerosis Brain Res 2010
134141ndash51
35 Sullivan EV Pfefferbaum A Swan GE Carmelli D Her-
itability of hippocampal size in elderly twin men equiva-
lent influence from genes and environment Hippocampus
200111754ndash762
36 Maguire EA Gadian DG Johnsrude IS et al Navigation-
related structural change in the hippocampi of taxi drivers
Proc Natl Acad Sci USA 2000974398ndash4403
37 Draganski B Gaser C Kempermann G et al Temporal
and spatial dynamics of brain structure changes during
extensive learning J Neurosci 2006266314ndash6317
38 Greicius MD Supekar K Menon V Dougherty RF Rest-
ing-state functional connectivity reflects structural connec-
tivity in the default mode network Cereb Cortex 200919
72ndash78
39 Kim H A dual-subsystem model of the brainrsquos default
network self-referential processing memory retrieval pro-
cesses and autobiographical memory retrieval Neuro-
image 201261966ndash977
40 Sumowski JF Wylie GR Leavitt VM Chiaravalloti ND
Deluca J Default network activity is a sensitive and spe-
cific biomarker of memory in multiple sclerosis Mult Scler
201219199ndash208
Spring AAN Webinars Help for Your Practice CME forYour Career
The American Academy of Neurology offers cost-effective Practice Management Webinars that canbe attended live or through convenient recordings posted online five days after the event AANmembers can save 25 on all regular webinars Plus physicians can earn 15 valuable CME creditsfor each webinar and administrators receive a certificate of completion Mark your calendar forupcoming programs and register today for these and other 2013 webinars at wwwaancomviewpmw13
Online Now Correct Coding for Chemodenervation
Online Now Working with NPs and PAs to Maximize Office Productivity
Online Now Remaining Relevant in the Changing Health Care Payment and Care DeliverySystems
Online Now Coding Accurately for Epilepsy
June 25 EM Minimize Mistakes Maximize Reimbursement
Neurology 80 June 11 2013 2193
DOI 101212WNL0b013e318296e98b2013802186-2193 Published Online before print May 10 2013Neurology
James F Sumowski Maria A Rocca Victoria M Leavitt et al you use it
Brain reserve and cognitive reserve in multiple sclerosis What youve got and how
This information is current as of May 10 2013
ServicesUpdated Information amp
httpwwwneurologyorgcontent80242186fullhtmlincluding high resolution figures can be found at
Supplementary Material
e318296e98bDC1htmlhttpwwwneurologyorgcontentsuppl20130723WNL0b013Supplementary material can be found at
References
1httpwwwneurologyorgcontent80242186fullhtmlref-list-at This article cites 40 articles 21 of which you can access for free
Citations
icleshttpwwwneurologyorgcontent80242186fullhtmlotherartThis article has been cited by 1 HighWire-hosted articles
Subspecialty Collections
httpwwwneurologyorgcgicollectionmultiple_sclerosisMultiple sclerosis
httpwwwneurologyorgcgicollectionmemoryMemory
_dementiahttpwwwneurologyorgcgicollectionall_cognitive_disordersAll Cognitive DisordersDementiafollowing collection(s) This article along with others on similar topics appears in the
Errata
httpwwwneurologyorgcontent816604fullpdf or next page
An erratum has been published regarding this article Please see
Permissions amp Licensing
httpwwwneurologyorgmiscaboutxhtmlpermissionsor in its entirety can be found online atInformation about reproducing this article in parts (figurestables)
Reprints
httpwwwneurologyorgmiscaddirxhtmlreprintsusInformation about ordering reprints can be found online
CORRECTIONBrain reserve and cognitive reserve in multiple sclerosis What yoursquove got and how you use it
In the article ldquoBrain reserve and cognitive reserve in multiple sclerosis What yoursquove got and how you use itrdquo by JF Sumowski et al (Neurologyreg
2013802186ndash2193) there is an error in figures 1 and 2 where the lines are switched The corrected figures are below The editorial staff regrets the error
Figure 1 Brain reserve protects against disease-relatedcognitive decline
Graphical depiction of (A) the positive correlation between intracra-nial volume (ICV) (brain reserve) and overall cognitive status and (B)the interaction between ICV and T2 lesion load (T2LL) wherebylarger ICV moderates the negative impact of T2LL on cognitivestatus
Figure 2 Cognitive reserve independently protectsagainst disease-related cognitive declineover and above brain reserve
Graphical depiction of (A) the positive correlation between early-lifecognitive leisure (cognitive reserve) and overall cognitive status and(B) the interaction between early-life cognitive leisure and T2 lesionload whereby greater engagement in cognitive leisure moderatesthe negative impact of T2 lesion load on cognitive status These re-sults demonstrate the independent protection afforded by cognitivereserve over and above brain reserve (intracranial volume)
604 copy 2013 American Academy of Neurology
24 Courchesne E Chisum HJ Townsend J et al Normal brain
development and aging quantitative analysis at in vivo MR
imaging in healthy volunteers Radiology 2000216672ndash782
25 Mori E Hirono N Yamashita H et al Premorbid brain size
as a determinant of reserve capacity against intellectual decline
in Alzheimerrsquos disease Am J Psychiatry 199715418ndash24
26 Rabbitt P Mogapi O Scott M et al Effects of global atro-
phy white matter lesions and cerebral blood flow on age-
related changes in speed memory intelligence vocabulary
and frontal function Neuropsychology 200721684ndash695
27 Kramer JH Mungas D Reed BR et al Longitudinal MRI
and cognitive change in healthy elderly Neuropsychology
200721412ndash418
28 Edland SD Xu Y Plevak M et al Total intracranial vol-
ume normative values and lack of association with Alz-
heimerrsquos disease Neurology 200259272ndash274
29 Jenkins R Fox NC Rossor AM Harvey RJ Rossor MN
Intracranial volume and Alzheimer disease evidence against
the cerebral reserve hypothesis Arch Neurol 200057220ndash224
30 Tabert MH Manly JJ Liu X et al Neuropsychological
prediction of conversion to Alzheimer disease in patients
with mild cognitive impairment Arch Gen Psychiatry
200663916ndash924
31 Pedersen NL Plomin R Nesselroade JR McClearn GE A
quantitative genetic analysis of cognitive abilities during the
second half of the life span Psychol Sci 19923346ndash353
32 McClearn GE Johansson B Berg S et al Substantial
genetic influence on cognitive abilities in twins 80 or more
years old Science 19972761560ndash1563
33 Hillman CH Erickson KI Kramer AF Be smart exercise
your heart exercise effects on brain and cognition Nat
Rev Neurosci 2008958ndash65
34 Prakash RS Snook EM Motl RW Kramer AF Aerobic
fitness is associated with gray matter volume and white
matter integrity in multiple sclerosis Brain Res 2010
134141ndash51
35 Sullivan EV Pfefferbaum A Swan GE Carmelli D Her-
itability of hippocampal size in elderly twin men equiva-
lent influence from genes and environment Hippocampus
200111754ndash762
36 Maguire EA Gadian DG Johnsrude IS et al Navigation-
related structural change in the hippocampi of taxi drivers
Proc Natl Acad Sci USA 2000974398ndash4403
37 Draganski B Gaser C Kempermann G et al Temporal
and spatial dynamics of brain structure changes during
extensive learning J Neurosci 2006266314ndash6317
38 Greicius MD Supekar K Menon V Dougherty RF Rest-
ing-state functional connectivity reflects structural connec-
tivity in the default mode network Cereb Cortex 200919
72ndash78
39 Kim H A dual-subsystem model of the brainrsquos default
network self-referential processing memory retrieval pro-
cesses and autobiographical memory retrieval Neuro-
image 201261966ndash977
40 Sumowski JF Wylie GR Leavitt VM Chiaravalloti ND
Deluca J Default network activity is a sensitive and spe-
cific biomarker of memory in multiple sclerosis Mult Scler
201219199ndash208
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Neurology 80 June 11 2013 2193
DOI 101212WNL0b013e318296e98b2013802186-2193 Published Online before print May 10 2013Neurology
James F Sumowski Maria A Rocca Victoria M Leavitt et al you use it
Brain reserve and cognitive reserve in multiple sclerosis What youve got and how
This information is current as of May 10 2013
ServicesUpdated Information amp
httpwwwneurologyorgcontent80242186fullhtmlincluding high resolution figures can be found at
Supplementary Material
e318296e98bDC1htmlhttpwwwneurologyorgcontentsuppl20130723WNL0b013Supplementary material can be found at
References
1httpwwwneurologyorgcontent80242186fullhtmlref-list-at This article cites 40 articles 21 of which you can access for free
Citations
icleshttpwwwneurologyorgcontent80242186fullhtmlotherartThis article has been cited by 1 HighWire-hosted articles
Subspecialty Collections
httpwwwneurologyorgcgicollectionmultiple_sclerosisMultiple sclerosis
httpwwwneurologyorgcgicollectionmemoryMemory
_dementiahttpwwwneurologyorgcgicollectionall_cognitive_disordersAll Cognitive DisordersDementiafollowing collection(s) This article along with others on similar topics appears in the
Errata
httpwwwneurologyorgcontent816604fullpdf or next page
An erratum has been published regarding this article Please see
Permissions amp Licensing
httpwwwneurologyorgmiscaboutxhtmlpermissionsor in its entirety can be found online atInformation about reproducing this article in parts (figurestables)
Reprints
httpwwwneurologyorgmiscaddirxhtmlreprintsusInformation about ordering reprints can be found online
CORRECTIONBrain reserve and cognitive reserve in multiple sclerosis What yoursquove got and how you use it
In the article ldquoBrain reserve and cognitive reserve in multiple sclerosis What yoursquove got and how you use itrdquo by JF Sumowski et al (Neurologyreg
2013802186ndash2193) there is an error in figures 1 and 2 where the lines are switched The corrected figures are below The editorial staff regrets the error
Figure 1 Brain reserve protects against disease-relatedcognitive decline
Graphical depiction of (A) the positive correlation between intracra-nial volume (ICV) (brain reserve) and overall cognitive status and (B)the interaction between ICV and T2 lesion load (T2LL) wherebylarger ICV moderates the negative impact of T2LL on cognitivestatus
Figure 2 Cognitive reserve independently protectsagainst disease-related cognitive declineover and above brain reserve
Graphical depiction of (A) the positive correlation between early-lifecognitive leisure (cognitive reserve) and overall cognitive status and(B) the interaction between early-life cognitive leisure and T2 lesionload whereby greater engagement in cognitive leisure moderatesthe negative impact of T2 lesion load on cognitive status These re-sults demonstrate the independent protection afforded by cognitivereserve over and above brain reserve (intracranial volume)
604 copy 2013 American Academy of Neurology
DOI 101212WNL0b013e318296e98b2013802186-2193 Published Online before print May 10 2013Neurology
James F Sumowski Maria A Rocca Victoria M Leavitt et al you use it
Brain reserve and cognitive reserve in multiple sclerosis What youve got and how
This information is current as of May 10 2013
ServicesUpdated Information amp
httpwwwneurologyorgcontent80242186fullhtmlincluding high resolution figures can be found at
Supplementary Material
e318296e98bDC1htmlhttpwwwneurologyorgcontentsuppl20130723WNL0b013Supplementary material can be found at
References
1httpwwwneurologyorgcontent80242186fullhtmlref-list-at This article cites 40 articles 21 of which you can access for free
Citations
icleshttpwwwneurologyorgcontent80242186fullhtmlotherartThis article has been cited by 1 HighWire-hosted articles
Subspecialty Collections
httpwwwneurologyorgcgicollectionmultiple_sclerosisMultiple sclerosis
httpwwwneurologyorgcgicollectionmemoryMemory
_dementiahttpwwwneurologyorgcgicollectionall_cognitive_disordersAll Cognitive DisordersDementiafollowing collection(s) This article along with others on similar topics appears in the
Errata
httpwwwneurologyorgcontent816604fullpdf or next page
An erratum has been published regarding this article Please see
Permissions amp Licensing
httpwwwneurologyorgmiscaboutxhtmlpermissionsor in its entirety can be found online atInformation about reproducing this article in parts (figurestables)
Reprints
httpwwwneurologyorgmiscaddirxhtmlreprintsusInformation about ordering reprints can be found online
CORRECTIONBrain reserve and cognitive reserve in multiple sclerosis What yoursquove got and how you use it
In the article ldquoBrain reserve and cognitive reserve in multiple sclerosis What yoursquove got and how you use itrdquo by JF Sumowski et al (Neurologyreg
2013802186ndash2193) there is an error in figures 1 and 2 where the lines are switched The corrected figures are below The editorial staff regrets the error
Figure 1 Brain reserve protects against disease-relatedcognitive decline
Graphical depiction of (A) the positive correlation between intracra-nial volume (ICV) (brain reserve) and overall cognitive status and (B)the interaction between ICV and T2 lesion load (T2LL) wherebylarger ICV moderates the negative impact of T2LL on cognitivestatus
Figure 2 Cognitive reserve independently protectsagainst disease-related cognitive declineover and above brain reserve
Graphical depiction of (A) the positive correlation between early-lifecognitive leisure (cognitive reserve) and overall cognitive status and(B) the interaction between early-life cognitive leisure and T2 lesionload whereby greater engagement in cognitive leisure moderatesthe negative impact of T2 lesion load on cognitive status These re-sults demonstrate the independent protection afforded by cognitivereserve over and above brain reserve (intracranial volume)
604 copy 2013 American Academy of Neurology
CORRECTIONBrain reserve and cognitive reserve in multiple sclerosis What yoursquove got and how you use it
In the article ldquoBrain reserve and cognitive reserve in multiple sclerosis What yoursquove got and how you use itrdquo by JF Sumowski et al (Neurologyreg
2013802186ndash2193) there is an error in figures 1 and 2 where the lines are switched The corrected figures are below The editorial staff regrets the error
Figure 1 Brain reserve protects against disease-relatedcognitive decline
Graphical depiction of (A) the positive correlation between intracra-nial volume (ICV) (brain reserve) and overall cognitive status and (B)the interaction between ICV and T2 lesion load (T2LL) wherebylarger ICV moderates the negative impact of T2LL on cognitivestatus
Figure 2 Cognitive reserve independently protectsagainst disease-related cognitive declineover and above brain reserve
Graphical depiction of (A) the positive correlation between early-lifecognitive leisure (cognitive reserve) and overall cognitive status and(B) the interaction between early-life cognitive leisure and T2 lesionload whereby greater engagement in cognitive leisure moderatesthe negative impact of T2 lesion load on cognitive status These re-sults demonstrate the independent protection afforded by cognitivereserve over and above brain reserve (intracranial volume)
604 copy 2013 American Academy of Neurology