Integrated metastate functional connectivity networks predict change in symptom severity in clinical high risk for psychosis.
Adolescent
Adult
Brain
/ diagnostic imaging
Connectome
/ methods
Female
Humans
Longitudinal Studies
Magnetic Resonance Imaging
/ methods
Male
Nerve Net
/ diagnostic imaging
Predictive Value of Tests
Prodromal Symptoms
Psychomotor Performance
/ physiology
Psychotic Disorders
/ diagnostic imaging
Risk Factors
Young Adult
cartographic profile
clinical high-risk for psychosis
network analysis
network based statistics
network integration
task fMRI
Journal
Human brain mapping
ISSN: 1097-0193
Titre abrégé: Hum Brain Mapp
Pays: United States
ID NLM: 9419065
Informations de publication
Date de publication:
01 02 2021
01 02 2021
Historique:
received:
22
05
2020
revised:
28
08
2020
accepted:
29
09
2020
pubmed:
14
10
2020
medline:
15
12
2021
entrez:
13
10
2020
Statut:
ppublish
Résumé
The ability to identify biomarkers of psychosis risk is essential in defining effective preventive measures to potentially circumvent the transition to psychosis. Using samples of people at clinical high risk for psychosis (CHR) and Healthy controls (HC) who were administered a task fMRI paradigm, we used a framework for labelling time windows of fMRI scans as 'integrated' FC networks to provide a granular representation of functional connectivity (FC). Periods of integration were defined using the 'cartographic profile' of time windows and k-means clustering, and sub-network discovery was carried out using Network Based Statistics (NBS). There were no network differences between CHR and HC groups. Within the CHR group, using integrated FC networks, we identified a sub-network negatively associated with longitudinal changes in the severity of psychotic symptoms. This sub-network comprised brain areas implicated in bottom-up sensory processing and in integration with motor control, suggesting it may be related to the demands of the fMRI task. These data suggest that extracting integrated FC networks may be useful in the investigation of biomarkers of psychosis risk.
Identifiants
pubmed: 33048435
doi: 10.1002/hbm.25235
pmc: PMC7775992
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
439-451Subventions
Organisme : Wellcome Trust
ID : 091667
Pays : United Kingdom
Organisme : Department of Health
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/N027078/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_U120097115
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 202397/Z/16/Z
Pays : United Kingdom
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : MRF
ID : MRF_C0439
Pays : United Kingdom
Informations de copyright
© 2020 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.
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