A Whole-Brain and Cross-Diagnostic Perspective on Functional Brain Network Dysfunction.


Journal

Cerebral cortex (New York, N.Y. : 1991)
ISSN: 1460-2199
Titre abrégé: Cereb Cortex
Pays: United States
ID NLM: 9110718

Informations de publication

Date de publication:
01 01 2021
Historique:
received: 13 06 2018
revised: 07 07 2020
accepted: 01 08 2020
pubmed: 11 9 2020
medline: 11 1 2022
entrez: 10 9 2020
Statut: ppublish

Résumé

A wide variety of mental disorders have been associated with resting-state functional network alterations, which are thought to contribute to the cognitive changes underlying mental illness. These observations appear to support theories postulating large-scale disruptions of brain systems in mental illness. However, existing approaches isolate differences in network organization without putting those differences in a broad, whole-brain perspective. Using a graph distance approach-connectome-wide similarity-we found that whole-brain resting-state functional network organization is highly similar across groups of individuals with and without a variety of mental diseases. This similarity was observed across autism spectrum disorder, attention-deficit hyperactivity disorder, and schizophrenia. Nonetheless, subtle differences in network graph distance were predictive of diagnosis, suggesting that while functional connectomes differ little across health and disease, those differences are informative. These results suggest a need to reevaluate neurocognitive theories of mental illness, with a role for subtle functional brain network changes in the production of an array of mental diseases. Such small network alterations suggest the possibility that small, well-targeted alterations to brain network organization may provide meaningful improvements for a variety of mental disorders.

Identifiants

pubmed: 32909037
pii: 5903481
doi: 10.1093/cercor/bhaa242
pmc: PMC7947178
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

547-561

Subventions

Organisme : NCATS NIH HHS
ID : UL1 TR001863
Pays : United States
Organisme : NIMH NIH HHS
ID : K01 MH108783
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH109520
Pays : United States
Organisme : NIMH NIH HHS
ID : R00 MH096801
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG055556
Pays : United States

Informations de copyright

© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

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Auteurs

Marjolein Spronk (M)

Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ 07102, USA.

Brian P Keane (BP)

Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ 07102, USA.
Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ 08854, USA.

Takuya Ito (T)

Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ 07102, USA.

Kaustubh Kulkarni (K)

Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ 07102, USA.

Jie Lisa Ji (JL)

Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06511, USA.

Alan Anticevic (A)

Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06511, USA.

Michael W Cole (MW)

Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ 07102, USA.

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Classifications MeSH