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000891104 1001_ $$00000-0003-4672-0049$$aVanasse, Thomas J.$$b0$$eCorresponding author
000891104 245__ $$aBrain pathology recapitulates physiology: A network meta-analysis
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000891104 500__ $$aThis 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.
000891104 520__ $$aNetwork architecture is a brain-organizational motif present across spatial scales from cell assemblies to distributed systems. Structural pathology in some neurodegenerative disorders selectively afflicts a subset of functional networks, motivating the network degeneration hypothesis (NDH). Recent evidence suggests that structural pathology recapitulating physiology may be a general property of neuropsychiatric disorders. To test this possibility, we compared functional and structural network meta-analyses drawing upon the BrainMap database. The functional meta-analysis included results from >7,000 experiments of subjects performing >100 task paradigms; the structural meta-analysis included >2,000 experiments of patients with >40 brain disorders. Structure-function network concordance was high: 68% of networks matched (pFWE < 0.01), confirming the broader scope of NDH. This correspondence persisted across higher model orders. A positive linear association between disease and behavioral entropy (p = 0.0006;R2 = 0.53) suggests nodal stress as a common mechanism. Corroborating this interpretation with independent data, we show that metabolic 'cost' significantly differs along this transdiagnostic/multimodal gradient.
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000891104 7001_ $$00000-0002-0465-2028$$aFox, Peter T.$$b1
000891104 7001_ $$00000-0002-4997-0003$$aFox, P. Mickle$$b2
000891104 7001_ $$aCauda, Franco$$b3
000891104 7001_ $$aCosta, Tommaso$$b4
000891104 7001_ $$00000-0001-8166-069X$$aSmith, Stephen M.$$b5
000891104 7001_ $$0P:(DE-Juel1)131678$$aEickhoff, Simon B.$$b6$$ufzj
000891104 7001_ $$aLancaster, Jack L.$$b7
000891104 773__ $$0PERI:(DE-600)2919698-X$$a10.1038/s42003-021-01832-9$$gVol. 4, no. 1, p. 301$$n1$$p301$$tCommunications biology$$v4$$x2399-3642$$y2021
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