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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Bibliographic Details

Published in:	NeuroImage: Clinical
Main Authors:	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
Format:	Article
Language:	English
Published:	Elsevier 2023-01-01
Subjects:	Functional network connectivity(FNC) Component number Spatially constrained ICA Resting fMRI Machine learning Intrinsic connectivity networks
Online Access:	http://www.sciencedirect.com/science/article/pii/S2213158223001237