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Group ICA for identifying biomarkers in schizophrenia: ‘Adaptive’ networks via spatially constrained ICA show more sensitivity to group differences than spatio-temporal regression

Brain functional networks identified from fMRI data can provide potential biomarkers for brain disorders. Group independent component analysis (GICA) is popular for extracting brain functional networks from multiple subjects. In GICA, different strategies exist for reconstructing subject-specific ne...

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Главные авторы: Mustafa S. Salman, Yuhui Du, Dongdong Lin, Zening Fu, Alex Fedorov, Eswar Damaraju, Jing Sui, Jiayu Chen, Andrew R. Mayer, Stefan Posse, Daniel H. Mathalon, Judith M. Ford, Theodorus Van Erp, Vince D. Calhoun
Формат: Artigo
Язык:Inglês
Опубликовано: Elsevier 2019-01-01
Серии:NeuroImage: Clinical
Online-ссылка:http://www.sciencedirect.com/science/article/pii/S221315821930097X
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