Progressive reconfiguration of resting-state brain networks as psychosis develops: Preliminary results from the North American Prodrome Longitudinal Study (NAPLS) consortium.
Brain network
Clinical high risk
Graph theory
Psychosis
Resting state
Journal
Schizophrenia research
ISSN: 1573-2509
Titre abrégé: Schizophr Res
Pays: Netherlands
ID NLM: 8804207
Informations de publication
Date de publication:
12 2020
12 2020
Historique:
received:
03
05
2018
revised:
13
11
2018
accepted:
19
01
2019
pubmed:
2
2
2019
medline:
22
6
2021
entrez:
2
2
2019
Statut:
ppublish
Résumé
Mounting evidence has shown disrupted brain network architecture across the psychosis spectrum. However, whether these changes relate to the development of psychosis is unclear. Here, we used graph theoretical analysis to investigate longitudinal changes in resting-state brain networks in samples of 72 subjects at clinical high risk (including 8 cases who converted to full psychosis) and 48 healthy controls drawn from the North American Prodrome Longitudinal Study (NAPLS) consortium. We observed progressive reduction in global efficiency (P = 0.006) and increase in network diversity (P = 0.001) in converters compared with non-converters and controls. More refined analysis separating nodes into nine key brain networks demonstrated that these alterations were primarily driven by progressively diminished local efficiency in the default-mode network (P = 0.004) and progressively enhanced node diversity across all networks (P < 0.05). The change rates of network efficiency and network diversity were significantly correlated (P = 0.003), suggesting these changes may reflect shared neural mechanisms. In addition, change rates of global efficiency and node diversity were significantly correlated with change rate of cortical thinning in the prefrontal cortex in converters (P < 0.03) and could be predicted by visuospatial memory scores at baseline (P < 0.04). These results provide preliminary evidence for longitudinal reconfiguration of resting-state brain networks during psychosis development and suggest that decreased network efficiency, reflecting an increase in path length between nodes, and increased network diversity, reflecting a decrease in the consistency of functional network organization, may be implicated in the progression to full psychosis.
Identifiants
pubmed: 30704864
pii: S0920-9964(19)30024-6
doi: 10.1016/j.schres.2019.01.017
pmc: PMC8376298
mid: NIHMS1722912
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
Pagination
30-37Subventions
Organisme : NIMH NIH HHS
ID : U01 MH082022
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001863
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH076989
Pays : United States
Organisme : NIMH NIH HHS
ID : U01 MH081988
Pays : United States
Organisme : NIMH NIH HHS
ID : U01 MH066069
Pays : United States
Organisme : NIMH NIH HHS
ID : P50 MH066286
Pays : United States
Organisme : NICHD NIH HHS
ID : U54 HD079124
Pays : United States
Organisme : NIMH NIH HHS
ID : U01 MH066134
Pays : United States
Organisme : NIMH NIH HHS
ID : U01 MH081928
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002541
Pays : United States
Organisme : NIMH NIH HHS
ID : U01 MH081902
Pays : United States
Organisme : NICHD NIH HHS
ID : P50 HD103573
Pays : United States
Organisme : NIMH NIH HHS
ID : U01 MH081857
Pays : United States
Organisme : NIMH NIH HHS
ID : U01 MH081944
Pays : United States
Informations de copyright
Copyright © 2019 Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Conflicts of interest Dr. Cannon has served as a consultant for Boehringer-Ingelheim Pharmaceuticals and Lundbeck A/S. The other authors report no conflicts of interest.
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