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1 Submitted report on Sufi recordings at AAPB 2013 in Portland Not for general distribution. Thomas F. Collura, Ph.D. July, 2013 Summary of EEG findings The intent of the EEG monitoring was to see which characteristics of this individual’s brain activity are unique. The subject was monitored continuously, using 19 channels of EEG. The sensors were attached manually, avoiding the need for a cap. EEG was measured referenced to the left ear, and also included the right ear as channel 20. Recordings were then referenced to linked ears for waveform, map, and sLORETA analysis. Recordings started 15 minutes before the procedure began, and continued for several minutes afterward, as well. Recordings were reviewed using three basic methods: (1) visual inspection of raw waveforms, (2) surface maps using a normative database (John, Prichep, Fridman, & Eastman, 1998), and (3) sLORETA (Pascual-Marqui, 2002) images using the same normative database. When using comparison with a normative database, the individual’s EEG is compared with what is regarded as typical for any individual of that age. Therefore, this approach can be used to answer the question, “what is unusual in this particular EEG at this time?” By inspecting raw EEG waveforms and maps, it is possible to identify magnitudes and locations of prominent EEG activity. When a statistical comparison with a normative sample is used, the results pinpoint the frequencies and locations in which the observed activity is notable, that is, it diverges significantly from typical activity. In this way, it is now possible to identify what is unusual about the recording, because any activity at normal levels is disregarded due to its having a nonsignificant (at or near zero) z-score. The following segment shows the EEG at the beginning of the procedure. This reflects the time that the participant is planning the piercing, and is in a state of rest and composure. Between sections contaminated with EMG, there is a brief moment of clean EEG that can be viewed and analyzed. This segment, which occurs 15 seconds before the piercing begins, is remarkably normal, considering the impending procedure. In particular, significant amounts of alpha are present generally. Despite the fact that the individual’s eyes were open, this looks like an eyes-closed EEG.

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Submitted report on Sufi recordings at AAPB 2013 in Portland

Not for general distribution.

Thomas F. Collura, Ph.D.

July, 2013

Summary of EEG findings

The intent of the EEG monitoring was to see which characteristics of this individual’s brain

activity are unique. The subject was monitored continuously, using 19 channels of EEG.

The sensors were attached manually, avoiding the need for a cap. EEG was measured

referenced to the left ear, and also included the right ear as channel 20. Recordings were then

referenced to linked ears for waveform, map, and sLORETA analysis. Recordings started 15

minutes before the procedure began, and continued for several minutes afterward, as well.

Recordings were reviewed using three basic methods: (1) visual inspection of raw

waveforms, (2) surface maps using a normative database (John, Prichep, Fridman, &

Eastman, 1998), and (3) sLORETA (Pascual-Marqui, 2002) images using the same normative

database.

When using comparison with a normative database, the individual’s EEG is compared with

what is regarded as typical for any individual of that age. Therefore, this approach can be

used to answer the question, “what is unusual in this particular EEG at this time?” By

inspecting raw EEG waveforms and maps, it is possible to identify magnitudes and locations

of prominent EEG activity. When a statistical comparison with a normative sample is used,

the results pinpoint the frequencies and locations in which the observed activity is notable,

that is, it diverges significantly from typical activity. In this way, it is now possible to

identify what is unusual about the recording, because any activity at normal levels is

disregarded due to its having a nonsignificant (at or near zero) z-score.

The following segment shows the EEG at the beginning of the procedure. This reflects the

time that the participant is planning the piercing, and is in a state of rest and composure.

Between sections contaminated with EMG, there is a brief moment of clean EEG that can be

viewed and analyzed. This segment, which occurs 15 seconds before the piercing begins, is

remarkably normal, considering the impending procedure. In particular, significant amounts

of alpha are present generally. Despite the fact that the individual’s eyes were open, this

looks like an eyes-closed EEG.

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When processed using the normative database producing z-scores, what is most evident is

that the amount of activity in all bands is remarkably normal, with the exception of a relative

excess of alpha and beta in the left frontal region. That is, while the alpha source is clearly

largest posteriorly, the z-scores show that the amount of alpha is at a normal level in these

regions. Where the alpha exceeds typical levels is in the left frontal areas, being pronounced

at F3 and F7. It is highly asymmetric, and little alpha is evident on the right side, i.e. at F4

and F8, where it is essentially absent. This is interesting in light of the fact that the left

frontal area is responsible for assessing safe situations, and mediating approach behaviour

(Davidson & Begley, 2012). There is also an evident hypercoherence in alpha, reflected in

the waveforms in the extreme synchrony of the alpha waves. In addition, there is some

hypocoherence in theta involving the frontal areas.

This activity can be imaged in raw power using sLORETA, showing the abundance of

posterior alpha.

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When the sLORETA image is rendered using z-scores, it is evident that most of the cortical

activity is at a normal level (for an eyes-closed condition), and that the excess is frontal:

An even more interesting picture emerges when inspecting the activity in the gamma (35-50

Hz) range. This rhythm is associated with perceptual binding, and is related to phenomena

that give rise to conscious awareness, and has been observed in instances of clairvoyance and

advanced meditation (Collura & Don, 2004; Lutz, Greischar, Rawlings, Ricard, & Davidson,

2004). Therefore, the locations and patterns of gamma in this subject would be expected to

provide information relevant to the experience and its mental attributes.

4

The gamma from the current sample of EEG is shown in the following graph. The evident

waxing and waning gamma bursts are clear, as well as their being most prominent in the

temporal leads (T3 and T4).

Although the surface maps show these excesses clearly both as raw and as z-scores, the

sLORETA analysis provides significant additional detail. When analyzing the gamma, two

significant patterns emerge. One is that there is a prominent excess of gamma in the mesial

regions of the temporal lobes. This is shown in the figure below

A particularly interesting pattern emerges, however when the areas of least gamma activity,

that is gamma deficits, are imaged. The initial evidence for a gamma deficit is seen when the

z-scores for gamma are displayed. In this case, several “pockets” of hypoactivity are evident

as darker areas:

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Seeing these areas of hypoactivity, it becomes of interest to image these areas specifically,

and look for the spatial pattern that they define. This would reveal areas that are

systematically de-activated in concert, suggesting a functional collection of areas. The

method to see them is to alter the display thresholds so that only these areas are shown. This

relatively uncommon technique consists of selecting only those voxels with z-scores below a

certain level. In this case, when only voxels with gamma z-scores below -1.2 are imaged, a

clear pattern emerges defining a possible functional hub:

The areas of gamma deficit reside in the occipital and to a lesser extent the parietal lobes

(Brodmann areas 17, 18, and 19), , the motor strip (Brodmann Areas 2, 3, and 4), and the

frontal lobes (Brodmann Areas 8 and 9). This may also be related to Raichle’s Dorsal

Attention Network. Laird’s ICN 2 Network.

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Another interesting view of the brain state is shown when the image is set to show the areas

of maximal alpha activation. Alpha represents a state of rest and disengagement with active

processing. When the subject’s brain is examined in this way, the following image emerged:

This image shows a strip of de-activation that includes parts of the sensory cortex, but which

extends inferiorly, to include the temporal lobes, and wraps around to the inferior, and then

the mesial, temporal areas. This suggests that there is a selective de-activation of regions that

involve integration of sensory information with memory, particularly short-term memory

binding. It is therefore possible that this type of de-activation is involved in the individual

shutting down the interactions between body sensation and the immediate storage of sensory

information. When this information is viewed in light of, for example, the views of Gerald

Edelman (1989), the idea emerges that the sufi has shut down the interactions that lead to

short-term storage of information, so that the potentially painful experience does not even

enter the possibility of being perceived, because it does not enter even into short-term

memory.

At 340 seconds into the record, the lances are completely inserted. At this time, alpha is even

more evident, along with delta waves that are focal to the right central regions. These sites

are along the motor strip, contralateral to the piercing sites. It is evident that the extreme

alpha activity is even more prominent, indicating a continued state of cortical relaxation.

Analysis of this portion showed patterns of alpha and gamma activity similar to those

observed before the piercing.

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During this period, the alpha becomes even more prononunced and is accompanied by

significant beta activity as well. The hypocoherence in theta also becomes much more

significant. Thus, the deviations seen in the recording preceding the piercing become more

pronounced and more extreme.

As a final example the following segment occurred after the lances were completely

removed. The preponderance of alpha remains, showing that the individual was capable of

maintaining this state throughout the procedure, including the aftermath.

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At this stage, the extreme amounts of alpha become even more prominent, and the

hypercoherence in alpha becomes even more notable. Theta activity has become more

normal, however.

Overall, the following observations can be made regarding the unique characteristics of this

individual’s EEG:

Before the procedure, his EEG shows a preponderance of alpha waves, which are maximal

posteriorly, but are most notable for their amplitude in the anterior regions. The alpha is also

hypercoherent. There is also a moderate amount of hypocoherence in theta, particularly in

the frontal regions. There is also evidence that particular regions including Brodman areas 2,

3, 4, 8, 9, 17, 18, and 19 undergo a significant decrease in activation, suggesting that this

functional hub is being de-activated. During the procedure, these deviations become even

more pronounced. After the procedure, the alpha preponderance becomes diffuse, and is

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accompanied by a bilateral posterior excess of beta as well. The findings are consistent with

the interpretation that this individual is able to achieve an extreme state of relaxation despite

this process, and is also able to selectively disengage a broadly based brain network that may

be related to attention.

References

Collura, T.F. & Don, N.S. (2004) EEG event-related spectral signatures associated with a psi-

conducive task. Presented at the 35th

annual meeting of the AAPB, April 1-4,

Colorado Springs, CO.

Davidson, R.J. and Begley, S. (2012) The Emotional Life of Your Brain. New York:

Penguin Group.

Edelman, G. (1989) The Remembered Present: A Biological Theory of Consciousness. New

York: Basic Books.

John, E. R., Prichep, L. S., Fridman, J. & Easton, P. (1988). Neurometrics: Computer assisted

differential diagnosis of brain dysfunctions. Science, 293, 162-169.

Laird, A.R., Fox, P.M., Eickhoff, S.B., Turner, J.A., Ray, K.L. et al. (2011) Behavioral

interpretations of intrinsic connectivity networks. J. Cogn. Neurosci. 23(12) 4022-37.

Lutz, A., Greischer, L.L., Rawlings, N.B., Ricard, M., & Davidson, R.J. (2004) Long-term

meditators self-induce high-amplitude gamma synchrony during mental practice.

Proc. Nat. Acad. Sci. of the USA. 101(46) 16369-73.

Pascual-Marqui, R.D. (2002). Standardized low-resolution brain electromagnetic

tomography (sLORETA): technical details, methods, and findings. Clinical

Pharmacology. 24: 5-12.

Raichle, M.W. (2010) Two views of brain function. Trends in Cognitive Science. 14(4):

180-190.