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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Detalles Bibliográficos

Principais autores:	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
Formato:	Artigo
Idioma:	Inglês
Publicado:	Elsevier 2023-01-01
Series:	NeuroImage: Clinical
Assuntos:	Functional network connectivity(FNC) Component number Spatially constrained ICA Resting fMRI Machine learning Intrinsic connectivity networks
Acceso en liña:	http://www.sciencedirect.com/science/article/pii/S2213158223001237
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