Multi-model order spatially constrained ICA reveals highly replicable group differences and consistent predictive results from resting data: A large N fMRI schizophrenia study

Brain functional networks identified from resting functional magnetic resonance imaging (fMRI) data have the potential to reveal biomarkers for brain disorders, but studies of complex mental illnesses such as schizophrenia (SZ) often yield mixed results across replication studies. This is likely due...

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Autori principali:	Xing Meng, Armin Iraji, Zening Fu, Peter Kochunov, Aysenil Belger, Judy M. Ford, Sara McEwen, Daniel H. Mathalon, Bryon A. Mueller, Godfrey Pearlson, Steven G. Potkin, Adrian Preda, Jessica Turner, Theo G.M. van Erp, Jing Sui, Vince D. Calhoun
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Elsevier 2023-01-01
Serie:	NeuroImage: Clinical
Soggetti:	Functional network connectivity(FNC) Component number Spatially constrained ICA Resting fMRI Machine learning Intrinsic connectivity networks
Accesso online:	http://www.sciencedirect.com/science/article/pii/S2213158223001237
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