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Please find a new paper on Resting state dynamics as estimated from fMRI.<BR>
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We show in large samples (100s of subjects) that estimated scale-free exponents<BR>
are significantly larger (30%+) in both atyptical brain activity (autistic spectrum disorder and schziophrenia) and in a known regime that is associated network breakdown of communication and fractioned hub structure. A known phase transition in scale-free structure predicts this breakdown.<BR>
<BR>
This is not due to correlation measures as we use graphical estimation and conditional independence.<BR>
We estimate graphs using an extended Power+ set (283 ROIs)--39k edges.<BR>
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This is not due to motion differences as we demonstrate using overlapping motion frame displacement<BR>
measures and recompute exponents showing *no change* in value as motion varies from sub-samples<BR>
of subjects with similar or disparent motion range.<BR>
<BR>
This is shown not to be due to the type of estimator (MLE, LSE, MOM, etc) which all agree<BR>
in the phase transition exponent change point (1.8).<BR>
<BR>
We show phenotypic disease severity correlates with exponent increases.<BR>
<BR>
We provide confirmatory SVM classifier results on the EDGES of estimated graphs<BR>
showing with 10-fold cross validation that we can discriminate between Neurotypical<BR>
(120 independent observations) to the Atypical (120 ASD, SZH independent observations) .<BR>
<BR>
Any queries or comment--> SJH.<BR>
<BR>
Thanks for your interest in this work.<BR>
<BR>
https://arxiv.org/abs/1605.09282<BR>
<BR>
Cheers,<BR>
<BR>
Steve Hanson<BR>
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-- <BR>
Stephen José Hanson<BR>
Director RUBIC (Rutgers Brain Imaging Center)<BR>
Professor of Psychology<BR>
Member of Cognitive Science Center (NB)<BR>
Member EE Graduate Program (NB)<BR>
Member CS Graduate Program (NB)<BR>
Rutgers University
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email: jose@rubic.rutgers.edu
web: psychology.rutgers.edu/~jose
lab: www.rumba.rutgers.edu
fax: 866-434-7959
voice: 973-353-3313 (RUBIC)
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