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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6438914/
https://www.ncbi.nlm.nih.gov/pubmed/30921608
http://dx.doi.org/10.1016/j.nicl.2019.101747

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6438914/
https://www.ncbi.nlm.nih.gov/pubmed/30921608
http://dx.doi.org/10.1016/j.nicl.2019.101747

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