Cortical similarities in psychiatric and mood disorders identified in federated VBM analysis via COINSTAC.
COINSTAC
PTSD
decentralized
federated analysis
gray matter
mild cognitive impairment
mood disorders
psychiatric disorders
regression
transdiagnostic
Journal
Patterns (New York, N.Y.)
ISSN: 2666-3899
Titre abrégé: Patterns (N Y)
Pays: United States
ID NLM: 101767765
Informations de publication
Date de publication:
12 Jul 2024
12 Jul 2024
Historique:
received:
25
09
2023
revised:
02
01
2024
accepted:
10
04
2024
medline:
31
7
2024
pubmed:
31
7
2024
entrez:
31
7
2024
Statut:
epublish
Résumé
Structural neuroimaging studies have identified a combination of shared and disorder-specific patterns of gray matter (GM) deficits across psychiatric disorders. Pooling large data allows for examination of a possible common neuroanatomical basis that may identify a certain vulnerability for mental illness. Large-scale collaborative research is already facilitated by data repositories, institutionally supported databases, and data archives. However, these data-sharing methodologies can suffer from significant barriers. Federated approaches augment these approaches by enabling access or more sophisticated, shareable and scaled-up analyses of large-scale data. We examined GM alterations using Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymous Computation, an open-source, decentralized analysis application. Through federated analysis of eight sites, we identified significant overlap in the GM patterns (
Identifiants
pubmed: 39081570
doi: 10.1016/j.patter.2024.100987
pii: S2666-3899(24)00102-8
pmc: PMC11284501
doi:
Types de publication
Journal Article
Langues
eng
Pagination
100987Déclaration de conflit d'intérêts
The authors declare no competing interests.