%0 Journal Article
%A Vanasse, Thomas J.
%A Fox, Peter T.
%A Fox, P. Mickle
%A Cauda, Franco
%A Costa, Tommaso
%A Smith, Stephen M.
%A Eickhoff, Simon B.
%A Lancaster, Jack L.
%T Brain pathology recapitulates physiology: A network meta-analysis
%J Communications biology
%V 4
%N 1
%@ 2399-3642
%C London
%I Springer Nature
%M FZJ-2021-01367
%P 301
%D 2021
%Z This work was supported by the National Institute of Mental Health of the U.S. NationalInstitute of Health under award number R01 MH074457; the National Institute ofNeurological Disorders and Stroke of the U.S. National Institutes of Health under AwardNumber F32 NS114034; the U.S. Department of Defense, Defense Health Program,Psychological Health and Traumatic Brain Injury Research Program under the Consortiumto Alleviate PTSD (CAP) award number W81XWH-13-2-0065; and the U.S.Department of Veterans Affairs, Office of Research & Development, Clinical ScienceResearch & Development Service under award numer I01CX001136-01. The content issolely the responsibility of the authors and does not necessarily represent the officialviews of these funding agencies.
%X Network architecture is a brain-organizational motif present across spatial scales from cell assemblies to distributed systems. Structural pathology in some neurodegenerative disorders selectively afflicts a subset of functional networks, motivating the network degeneration hypothesis (NDH). Recent evidence suggests that structural pathology recapitulating physiology may be a general property of neuropsychiatric disorders. To test this possibility, we compared functional and structural network meta-analyses drawing upon the BrainMap database. The functional meta-analysis included results from >7,000 experiments of subjects performing >100 task paradigms; the structural meta-analysis included >2,000 experiments of patients with >40 brain disorders. Structure-function network concordance was high: 68% of networks matched (pFWE < 0.01), confirming the broader scope of NDH. This correspondence persisted across higher model orders. A positive linear association between disease and behavioral entropy (p = 0.0006;R2 = 0.53) suggests nodal stress as a common mechanism. Corroborating this interpretation with independent data, we show that metabolic 'cost' significantly differs along this transdiagnostic/multimodal gradient.
%F PUB:(DE-HGF)16
%9 Journal Article
%$ 33686216
%U <Go to ISI:>//WOS:000627440400002
%R 10.1038/s42003-021-01832-9
%U https://juser.fz-juelich.de/record/891104