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| Hauptseite > Publikationsdatenbank > Brain pathology recapitulates physiology: A network meta-analysis > print |
| Hauptseite > Publikationsdatenbank > Brain pathology recapitulates physiology: A network meta-analysis > print |
| 001 | 891104 | ||
| 005 | 20210623133407.0 | ||
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| 024 | 7 | _ | |a 1447-073X |2 ISSN |
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| 024 | 7 | _ | |a 10.1038/s42003-021-01832-9 |2 doi |
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| 100 | 1 | _ | |a Vanasse, Thomas J. |0 0000-0003-4672-0049 |b 0 |e Corresponding author |
| 245 | _ | _ | |a Brain pathology recapitulates physiology: A network meta-analysis |
| 260 | _ | _ | |a London |c 2021 |b Springer Nature |
| 336 | 7 | _ | |a article |2 DRIVER |
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| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1622040453_1382 |2 PUB:(DE-HGF) |
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| 500 | _ | _ | |a 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. |
| 520 | _ | _ | |a 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. |
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| 700 | 1 | _ | |a Fox, Peter T. |0 0000-0002-0465-2028 |b 1 |
| 700 | 1 | _ | |a Fox, P. Mickle |0 0000-0002-4997-0003 |b 2 |
| 700 | 1 | _ | |a Cauda, Franco |b 3 |
| 700 | 1 | _ | |a Costa, Tommaso |b 4 |
| 700 | 1 | _ | |a Smith, Stephen M. |0 0000-0001-8166-069X |b 5 |
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| 700 | 1 | _ | |a Lancaster, Jack L. |b 7 |
| 773 | _ | _ | |a 10.1038/s42003-021-01832-9 |g Vol. 4, no. 1, p. 301 |0 PERI:(DE-600)2919698-X |n 1 |p 301 |t Communications biology |v 4 |y 2021 |x 2399-3642 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/891104/files/Vanasee21.pdf |y OpenAccess |
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