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Jack M. Fletcher Department of Pediatrics University of Texas Health Science Center Houston [email protected] Cars.uth.tmc.edu Neurobehavioral Outcomes in Spina Bifida: Learning and the Brain

Neurobehavioral Outcomes in Spina Bifida: Learning …rowley/sb-kids/Publications/Neurobehavioral...Cognitive Phenotype: Questions ... • Word Recognition stronger than math and reading

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Page 1: Neurobehavioral Outcomes in Spina Bifida: Learning …rowley/sb-kids/Publications/Neurobehavioral...Cognitive Phenotype: Questions ... • Word Recognition stronger than math and reading

Jack M. FletcherDepartment of Pediatrics

University of Texas Health Science Center Houston

[email protected]

Neurobehavioral Outcomes in Spina Bifida: Learning and the Brain

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SPINA BIFIDASPINA BIFIDA

• A common birth defect affecting 0.5- 1.0/ 1000 live births

• Defect in neural tube closure in early embryogenesis resulting in malformation of the CNS at the level of the brain and spine

• Most common congenital birth defect in North America

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Several Specific Types of Spina BifidaSeveral Specific Types of Spina Bifida

• Meningocele, Lipoma, SB Occulta• Spina bifida meningomyocele – most common and

most severe form • Spinal lesion- nerve impairment may occur

several levels above and below the lesion • Characteristic brain malformations and

hydrocephalus• Problems with motor functions, bladder/bowel

regulation, and learning

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Neural Tube Defect Sequence

• Failure of the neural tube to close leads to– interrupted spinal cord

– hydrocephalus

– neurogenic bladder

– club feet

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Rudolph’s Brief Atlas of the Newborn, 1998

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Spina Bifida: Cognitive and Spina Bifida: Cognitive and Neurobiological Variability (SANDI Neurobiological Variability (SANDI

Project: Supported by NICHD)Project: Supported by NICHD)

Project 1 (Genetics) – Hope Northrup, M.D. – UTHProject 2 (Development) –Susan Landry, Ph.D.-UTHProject 3 (Cerebellum)-Maureen Dennis, Ph.D.-HSCProject 4 (Corpus Callosum) Julia Hannay,Ph.D.-UHProject 5 (Academics) – Marcia Barnes, Ph.D.- HSCCore A (Administrative)-Jack Fletcher, Ph.D. – UTHCore B ( Recruit/Assess)- Jack Fletcher, Ph.D. UTHCore C (Quantitative) – David Francis, Ph.D. – UH(Michael Brandt, Jon Frederick, Larry Kramer, Susan Blaser, Jim Drake,

John Laurent, Grace Villareal, Richard Haynes, Irene Townsend, Susan Inwood, Kim Edlestain, Laura Lomax

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Interdisciplinary TeamInterdisciplinary Team

• Cognitive Neuroscience• Computational Biomedicine• Developmental Psychology• Genetics• Neurology• Neuropsychology• Neurosurgery• Ophthalmology• Quantitative Psychology (Statistics)

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Central ThemeCentral Theme

• Spina bifida has distinct dysmorphologies and modal cognitive characteristics, but outcomes vary. What are the mechanisms underlying this variability?

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Sources of VariabilitySources of Variability• Complex pattern of gene- environment interactions• CNS manifestations- spinal lesion level, Chiari

malformation, corpus callosum anomalies• Treatment- hydrocephalus and its treatment, early

development• Environmental factors: diet, familial, cultural

Genetic, neuroimaging, and cognitive neuroscience investigations of a common, representative sample

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Four Primary Samples (Houston and Four Primary Samples (Houston and Toronto)Toronto)

• Genetic sample: >1800 blood samples from children ( >600) and one or more parents

• Infant sample followed from birth to 36 months (91 SBM, 71 controls)

• School- age sample ( 309 SBM, 62 controls) • Cognitive neuroscience studies (cerebellum, corpus

callosum, math and discourse) (130 SBM, 40 controls)

Diverse, multi- ethnic sample with good representation of economically disadvantaged and minority participants

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Sources of VariabilitySources of Variability

ABERRANT NEUROEMBRYOGENESIS

PHYSICAL PHENOTYPE

GENE

MODAL OUTCOMEMeningomyelocele

VARIABILITYLeve l of spina l les ion

NEURAL PHENOTYPE COGNITIVE PHENOTYPE

MODAL OUTCOMEDysmorphic Brain

VARIABILITYCerebellum

MidbrainCorpus CallosumPosterior Cortex

MODAL OUTCOMECognitive Problems

VARIABILITYCore deficits in timing,

a ttention orienta tion,motor control;

Functional deficits in visua l perception, attention

regula tion, informa tion integra tion/

contingency learning

Figure 1.

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Sources of VariabilitySources of Variability

Figure 1. Central organizing framework for the research program. Complex gene-environment interactions produce variability in physical, neural, and cognitive phenotypes.

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Genetic FactorsGenetic Factors

• Family history– Parents with one child with SBM have an increased

risk for having an additional child with SB

• Variation in incidence by ethnicity– Hispanic > Caucasian> African-American > Asian-

American (physical phenotype varies with ethnicity)

• Animal models– NTD malformations detected in several mouse models

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Accounting for HeterogeneityAccounting for Heterogeneity• Simplex Families

– Patients, Mothers, Fathers

• Ethnicity (An important aspect of our study is that we have subdivided our subject pop'n according to ethnicity)

– Hispanics of Mexican-American Descent– North American Caucasians (Non-Hispanic Whites)

• Level of Spinal Defect– Upper – Lower

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Level of DefectLevel of Defect“Multi“Multi--Site Closure Model”Site Closure Model”

(Van Allen et al. 1993)

Closure Site 1: Upper Level Defect(T1 and above)

Closure Site 5: Lower Level Defect(L1 and below)

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MTHFR ResultsMTHFR Results

• Maternal C677T homozygous genotype significant risk factor for upper level SB defects in Hispanics [OR=2.3, P=0.02]

– Hispanic mothers of children with upper level defects have the highest frequency of the 677T variant allele [f(T)=0.592]

• Maternal combined C677T/A1298C heterozygous genotype significant risk factor for upper level SB defects in non-Hispanic whites [OR=3.6, P=0.03]

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MTHFR 677TT: Upper Defects MTHFR 677TT: Upper Defects Hispanics vs. ControlsHispanics vs. Controls

30%

22%

38%

21%25% 24%

0%

10%

20%

30%

40%

50%

Patients/Controls Mothers/Controls Fathers/Controls

SB FamilyControl

TT Homozygous Genotype OR=2.3, P=0.02

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MTHFR 677CT/1298AC:MTHFR 677CT/1298AC: Upper Upper Defects Defects NonNon--Hispanic Whites vs. ControlsHispanic Whites vs. Controls

17%14%

41%

16% 13% 12%

0%

10%

20%

30%

40%

50%

Patients/Controls Mothers/Controls Fathers/Controls

SB FamilyControls

Combined CT/AC Heterozygous GenotypesOR=3.6, P=0.03

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MTHFR ResultsMTHFR Results

• Maternal MTHFR variant genotypes confer risk for upper level SB defects

– Limiting transfer of folate from maternal circulation to neuroepithelial cells of embryonic neural tube

– Supplying inadequate folate to facilitate growth required to produce neural folds large enough to elevate, overarch and fuse

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Physical PhenotypePhysical Phenotype• Variation in type of lesion: Few children with any form of

SB spared ambulation and bladder/bowel difficulties• Meningomyelocele most likely associated with adverse

neuropsychological outcomes• Varies with level of lesion: Lesions above L1(30%)

associated with more brain dysmorphology and poorer neuropsychological outcomes than L1 and below (70%)

• Lesion level varies with ethnicity (Nonhispanics: 28% > L1; Hispanics: 44%)

• Lesion level accounts for genetic and cognitive variability

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40

50

60

70

80

90

100

T L1-2 L3-5 S

Lesion Level

Sour

ce

IQAdaptive Behavior

Fine Motor

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Neural PhenotypeNeural Phenotype

• Dysmorphology of cerebellum, midbrain, corpus callosum, and posterior cortex (latter due to hydrocephalus)

• Cerebellum: Arnold Chiari II (93%), AC I/Other (3%),Normal (3%); No variation with lesion level

• Midbrain: Tectum (65% Upper, 53% Lower)

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Neural PhenotypeNeural Phenotype

• Posterior fossa, pons, medulla abnormal in 2/3 or more, but more frequent in upper lesions

• Corpus callosum: 52% partial dysgenesis, 44% hypoplastic, 4% normal

24 different patternsUpper level lesions: 47% with dysgenesis of

splenium (26% lower)

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Neural PhenotypeNeural Phenotype

Cortex: Quantitative analysis of brain volumes• Precallosal not different in tissue composition• Pericallosal and retrocallosal : twice as much CSF

with proportional reductions in gray and white matter

• Cerebellum is smaller, especially in upper level lesions

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Edelstein – Mirror Drawing in Spina Bifida, Fig 3

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Cognitive Phenotype: QuestionsCognitive Phenotype: Questions

• Do children with spina bifida have a “signature” phenotype with regard to neuropsychological outcomes?

• Are there core processing deficits associated with neuropsychological outcomes?

• What factors account for the variability of neuropsychological outcomes?

• What happens across the life span?

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Preliminary AnswersPreliminary Answers• There is a modal phenotype, but there is also

substantial variability around this modal phenotype.

• The phenotype can be accounted for by impairments in a few core processes that cut across domains

• Variability due to variability in physical and neural phenotypes as well as environmental factors (SES, caretaking)

• Core deficits emerge early in development and persist into adulthood.

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TIMINGATTENTION ORIENTATION

MOTOR CONTROL

VISUAL PERCEPTION

ATTENTION REGULATION

Math Reasoning, Tower of London, Monopoly

Story Retelling Tasks

Rhythm Discrimination

Leiter Tasks Covert Attention Task

Line Bisection

Mirror Drawing

Vineland, SNAP, BRIEF

Functional Deficits

Environmental Factors

Core Deficits

Physical and Neural Phenotypes

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Clinical Outcomes (Research Clinical Outcomes (Research Criteria)Criteria)

• No problems (in the areas assessed): 22%• Mental deficiency: 23% with IQ and adaptive

behavior below 70 (59%: 20/34 upper level lesions of Hispanic origin

• Attention: 34% elevated parent ratings (26% inattentive, 2% hyper- impulsive, 6% both)

• Academics: 58% with difficulties in reading (3%), math (29%), or both (26%)

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IntelligenceIntelligence

• Children with SBM have lower nonverbal than verbal IQ scores; verbal IQ often in average range

• Cannot estimate average IQ of SB as studies almost always employ varying selection criteria

• Why would we want to know IQ as it explains little about SB and is an outcome, not a determinant?

• Nonetheless….

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IntelligenceIntelligence

• Related to numerous clinical markers: lesion level, corpus callosum dysmorphology, degree of posterior thinning, but not shunt revisions or infections (in our studies)

• Patterns apparent across the life span

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Bayley Mental

60

80

100

120

140

160

180

_6 _12 _18 _24 _30 _36

NCSBMM - No ShuntSBMM - Shunted

Chronological Age (months)

Raw

sco

res

Figure 5.

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Bayley Bayley MentalMental

Figure 5. Growth curves for theBayley mental scale for children with spina bifida meningomyelocele(shunted and unshunted) from 6-36 months.

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Bayley Motor

0

20

40

60

80

100

120

_6 _12 _18 _24 _30 _36

NCSBMM - No shuntSBMM - Shunted

Chronological Age (months)

Raw

sco

res

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Bayley Bayley MotorMotor

Figure 6. Growth curves for theBayley motor scale for children with spina bifida meningomyelocele(shunted and unshunted) from 6-36 months.

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School Age: SB IQ X Ethnicity School Age: SB IQ X Ethnicity

NS90 (14)88 (19)Visual IQ

.000179 (18)94 (17)Verbal IQ

pHispanic 83

NonHispan177N

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Comparisons of Lower (<T12) and Upper Level (> L1)Comparisons of Lower (<T12) and Upper Level (> L1)Spinal Lesions on StanfordSpinal Lesions on Stanford-- Binet IQBinet IQ

.000180 (17)89(18)Visual IQ

.000178 (21)90(18)Verbal IQ

pUpper 78

Lower 182N

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Comparisons of Lower (<T12) and Upper Level (> L1)Comparisons of Lower (<T12) and Upper Level (> L1)Spinal Lesions: Spinal Lesions: NonHispanicsNonHispanics

NS84 (17)87(19)Visual IQ

.000186 (14)93(17)Verbal IQ

pUpper 47

Lower 130N

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Comparisons of Lower (<T12) and Upper Level (>L1)Comparisons of Lower (<T12) and Upper Level (>L1) Spinal Spinal Lesions: HispanicsLesions: Hispanics

.000175 (13)89(15)Visual IQ

.000167 (22)79(18)Verbal IQ

pUpper 31

Lower 52N

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Neuropsychological OutcomesNeuropsychological Outcomes• Modal pattern: VIQ > PIQ• Impairment of fine motor, upper limb, and visual

perceptual skills• Lexical and syntactic > meaning construction• Memory, attention, executive function vary• Word Recognition stronger than math and reading

comprehensionAlso variability within these domains

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MotorMotor

• Upper limb dysfunction and motor performance related to cerebellar volumes and midbrain

• Timing emerges independently of motor demands and related to cerebellar volumes

• Emerge early in development and persist• Motor control and learning, as well as

timing, are core deficits

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AttentionAttention

• Children with SB have difficulties orienting, initiating, engaging, and shifting attention

• Can be detected as early as 6 months of age• Related to quantitative posterior volumes and

midbrain• Difficulties sustaining attention less apparent• Attention orientation is a core deficit

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350

400

450

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600

650

700

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800

Epo

ch 1

Epo

ch 2

Epo

ch 3

Epo

ch 4

Rea

ctio

n T

ime

Hydrocephalus

Control

ADHD

Figure 3

Attention Processes 48

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Visual Perception Visual Perception

• Perceptual deficits well established, but not all perceptual skills comparably impaired

• Object- based perception (face recognition, fragmented objects) better than action- based perception (figure- ground, visually guided perceptual- motor)

• Not explained by motor deficits• Emerge early and stable across the life span• Related to posterior volumes and asymmetric

thinning

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LanguageLanguage

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Memory and Executive FunctionsMemory and Executive Functions

• Children with SBM do poorly on many tests of memory and executive functions

• Difficulties not obviously specific to this domain: reflect demands of tests on core processes

• In adults, evidence of emerging clinical disorders of memory (related to lifetime history of shunt revisions)

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MathematicsMathematics

• Problems often involve learning procedures (multi-digit problems, algorithms), not facts-similar to LD involving only math

• Some with SB have profound math deficits that hamper quality of life and independence

• Best single predictor of adult independence (in one study) was functional math

• Deficits emerge in preschool

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Reading and Discourse Skills in Hydrocephalic Children With Reading and Discourse Skills in Hydrocephalic Children With Average to AboveAverage to Above--Average Verbal IQsAverage Verbal IQs

Same as NormallySkill_____________________________________Developing Children?ReadingWord recognition accuracy YesPhonological analysis YesWritten vocabulary knowledge YesReading comprehension NoNarrative productionQuantity produced YesSyntactic complexity YesCore semantic content NoOral discourse elementsIdiomatic expressions YesNovel figurative expressions NoInferences No

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Cerebellum and Corpus CallosumCerebellum and Corpus Callosum

• Cerebellar functions involving timing and rhythmicity impaired; nonrhythmic not impaired

• Cerebellar functions involving motor acquisition not impaired despite significant problems with perceptual aspects of task

• Corpus Callosum: Interhemispheric transfer disrupted, especial in non- righthanders, those missing the splenium, and upper level lesions

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Why worry about cognition and the Why worry about cognition and the brain? brain?

Most with SBM have cognitive difficulties related to the neural phenotype that can make SBM disabling beyond effects of orthopedics and hydrocephalus

• When do core process deficits emerge and how are they modified by the environment? Why do they persist?

• How do core processes contribute to social difficulties: manifestation of cognitive problems? (e.g., pragmatic language)

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Why worry about cognition and the Why worry about cognition and the brain? brain?

• How can the environment be modified to enhance outcomes?

• What are the neural correlates of core process deficits?

SBM is an incredible example of neural plasticity

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MSI in SBM: Word RecognitionMSI in SBM: Word Recognition

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Conclusions: Future Research Conclusions: Future Research DirectionsDirections

1. Cognitive, physical, and neural phenotypes are variable

2. Variability related to genetic and environmental factors

3. Must go beyond traditional domains: Core processes

4. Variability is the key 5. Need large, representatives samples to model

relationships and an interdisciplinary perspective across the life span

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Conclusions: Future Research Conclusions: Future Research DirectionsDirections

6. Research has to move beyond clinical samples of convenience, must deal with classification issues, and assess brain integrity

7. Use new technologies8. Intervention research is needed.

WE NEED MORE RESEARCH OF ALL KINDS!