Activity flow underlying abnormalities in brain activations and cognition in schizophrenia.


Journal

Science advances
ISSN: 2375-2548
Titre abrégé: Sci Adv
Pays: United States
ID NLM: 101653440

Informations de publication

Date de publication:
07 2021
Historique:
received: 14 10 2020
accepted: 28 05 2021
entrez: 15 7 2021
pubmed: 16 7 2021
medline: 9 4 2022
Statut: epublish

Résumé

Cognitive dysfunction is a core feature of many brain disorders, including schizophrenia (SZ), and has been linked to aberrant brain activations. However, it is unclear how these activation abnormalities emerge. We propose that aberrant flow of brain activity across functional connectivity (FC) pathways leads to altered activations that produce cognitive dysfunction in SZ. We tested this hypothesis using activity flow mapping, an approach that models the movement of task-related activity between brain regions as a function of FC. Using functional magnetic resonance imaging data from SZ individuals and healthy controls during a working memory task, we found that activity flow models accurately predict aberrant cognitive activations across multiple brain networks. Within the same framework, we simulated a connectivity-based clinical intervention, predicting specific treatments that normalized brain activations and behavior in patients. Our results suggest that dysfunctional task-evoked activity flow is a large-scale network mechanism contributing to cognitive dysfunction in SZ.

Identifiants

pubmed: 34261649
pii: 7/29/eabf2513
doi: 10.1126/sciadv.abf2513
pmc: PMC8279516
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NIMH NIH HHS
ID : K01 MH108783
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG055556
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH109520
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001863
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH112189
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH108590
Pays : United States

Informations de copyright

Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).

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Auteurs

Luke J Hearne (LJ)

Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ, USA. lukehearne@gmail.com.

Ravi D Mill (RD)

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

Brian P Keane (BP)

University Behavioral Health Care, Department of Psychiatry, and Center for Cognitive Science, Rutgers University, Piscataway, NJ, USA.
Departments of Psychiatry and Neuroscience, University of Rochester Medical Center, Rochester, NY, USA.

Grega Repovš (G)

Department of Psychology, University of Ljubljana, Aškerčeva 2, Ljubljana SI-1000, Slovenia.

Alan Anticevic (A)

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

Michael W Cole (MW)

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

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Classifications MeSH