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@ARTICLE{Vanasse:891104,
      author       = {Vanasse, Thomas J. and Fox, Peter T. and Fox, P. Mickle and
                      Cauda, Franco and Costa, Tommaso and Smith, Stephen M. and
                      Eickhoff, Simon B. and Lancaster, Jack L.},
      title        = {{B}rain pathology recapitulates physiology: {A} network
                      meta-analysis},
      journal      = {Communications biology},
      volume       = {4},
      number       = {1},
      issn         = {2399-3642},
      address      = {London},
      publisher    = {Springer Nature},
      reportid     = {FZJ-2021-01367},
      pages        = {301},
      year         = {2021},
      note         = {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.},
      abstract     = {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.},
      cin          = {INM-7},
      ddc          = {570},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {525 - Decoding Brain Organization and Dysfunction
                      (POF4-525)},
      pid          = {G:(DE-HGF)POF4-525},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {33686216},
      UT           = {WOS:000627440400002},
      doi          = {10.1038/s42003-021-01832-9},
      url          = {https://juser.fz-juelich.de/record/891104},
}