Federated Analysis in COINSTAC Reveals Functional Network Connectivity and Spectral Links to Smoking and Alcohol Consumption in Nearly 2,000 Adolescent Brains.
Adolescent health
COINSTAC
CVEDA
Decentralized analysis
IMAGEN
Neuromark
Journal
Neuroinformatics
ISSN: 1559-0089
Titre abrégé: Neuroinformatics
Pays: United States
ID NLM: 101142069
Informations de publication
Date de publication:
04 2023
04 2023
Historique:
accepted:
29
08
2022
medline:
12
4
2023
pubmed:
27
11
2022
entrez:
26
11
2022
Statut:
ppublish
Résumé
With the growth of decentralized/federated analysis approaches in neuroimaging, the opportunities to study brain disorders using data from multiple sites has grown multi-fold. One such initiative is the Neuromark, a fully automated spatially constrained independent component analysis (ICA) that is used to link brain network abnormalities among different datasets, studies, and disorders while leveraging subject-specific networks. In this study, we implement the neuromark pipeline in COINSTAC, an open-source neuroimaging framework for collaborative/decentralized analysis. Decentralized exploratory analysis of nearly 2000 resting-state functional magnetic resonance imaging datasets collected at different sites across two cohorts and co-located in different countries was performed to study the resting brain functional network connectivity changes in adolescents who smoke and consume alcohol. Results showed hypoconnectivity across the majority of networks including sensory, default mode, and subcortical domains, more for alcohol than smoking, and decreased low frequency power. These findings suggest that global reduced synchronization is associated with both tobacco and alcohol use. This proof-of-concept work demonstrates the utility and incentives associated with large-scale decentralized collaborations spanning multiple sites.
Identifiants
pubmed: 36434478
doi: 10.1007/s12021-022-09604-4
pii: 10.1007/s12021-022-09604-4
doi:
Substances chimiques
Ethanol
3K9958V90M
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
287-301Subventions
Organisme : NIMH NIH HHS
ID : R01 MH121246
Pays : United States
Organisme : MRF
ID : MRF_MRF-058-0004-RG-DESRI
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/R00465X/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/L022206/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/W002418/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/S020306/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/N00616X/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/S019669/1
Pays : United Kingdom
Organisme : NIA NIH HHS
ID : R56 AG058854
Pays : United States
Organisme : NIDA NIH HHS
ID : R01 DA040487
Pays : United States
Organisme : Medical Research Council
ID : MR/N000390/1
Pays : United Kingdom
Organisme : NIDA NIH HHS
ID : R01 DA049238
Pays : United States
Organisme : NIBIB NIH HHS
ID : U54 EB020403
Pays : United States
Organisme : MRF
ID : MRF_MRF-058-0009-RG-DESR-C0759
Pays : United Kingdom
Organisme : Department of Health
ID : PR-ST-0416-10001
Pays : United Kingdom
Informations de copyright
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
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