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Brain pathology recapitulates physiology: A network meta-analysis
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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7940476/ https://www.ncbi.nlm.nih.gov/pubmed/33686216 http://dx.doi.org/10.1038/s42003-021-01832-9 |
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author | Vanasse, Thomas J. Fox, Peter T. Fox, P. Mickle Cauda, Franco Costa, Tommaso Smith, Stephen M. Eickhoff, Simon B. Lancaster, Jack L. |
author_facet | Vanasse, Thomas J. Fox, Peter T. Fox, P. Mickle Cauda, Franco Costa, Tommaso Smith, Stephen M. Eickhoff, Simon B. Lancaster, Jack L. |
author_sort | Vanasse, Thomas J. |
collection | PubMed |
description | 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;R(2) = 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. |
format | Online Article Text |
id | pubmed-7940476 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-79404762021-03-28 Brain pathology recapitulates physiology: A network meta-analysis Vanasse, Thomas J. Fox, Peter T. Fox, P. Mickle Cauda, Franco Costa, Tommaso Smith, Stephen M. Eickhoff, Simon B. Lancaster, Jack L. Commun Biol Article 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;R(2) = 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. Nature Publishing Group UK 2021-03-08 /pmc/articles/PMC7940476/ /pubmed/33686216 http://dx.doi.org/10.1038/s42003-021-01832-9 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Vanasse, Thomas J. Fox, Peter T. Fox, P. Mickle Cauda, Franco Costa, Tommaso Smith, Stephen M. Eickhoff, Simon B. Lancaster, Jack L. Brain pathology recapitulates physiology: A network meta-analysis |
title | Brain pathology recapitulates physiology: A network meta-analysis |
title_full | Brain pathology recapitulates physiology: A network meta-analysis |
title_fullStr | Brain pathology recapitulates physiology: A network meta-analysis |
title_full_unstemmed | Brain pathology recapitulates physiology: A network meta-analysis |
title_short | Brain pathology recapitulates physiology: A network meta-analysis |
title_sort | brain pathology recapitulates physiology: a network meta-analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7940476/ https://www.ncbi.nlm.nih.gov/pubmed/33686216 http://dx.doi.org/10.1038/s42003-021-01832-9 |
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