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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Detalhes bibliográficos
Publicado no:Neuroimage Clin
Main Authors: Salman, Mustafa S., Du, Yuhui, Lin, Dongdong, Fu, Zening, Fedorov, Alex, Damaraju, Eswar, Sui, Jing, Chen, Jiayu, Mayer, Andrew R., Posse, Stefan, Mathalon, Daniel H., Ford, Judith M., Van Erp, Theodorus, Calhoun, Vince D.
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2019
Assuntos:
Regular Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6438914/
https://ncbi.nlm.nih.gov/pubmed/30921608
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.nicl.2019.101747
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