Parallel ICA identifies sub-components of resting state networks that covary with behavioral indices

Parallel Independent Component Analysis (para-ICA) is a multivariate method that can identify complex relationships between different data modalities by simultaneously performing Independent Component Analysis on each data set while finding mutual information between the two data sets. We use para-I...

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Detalhes bibliográficos
Main Authors: Meier, Timothy B., Wildenberg, Joseph C., Liu, Jingyu, Chen, Jiayu, Calhoun, Vince D., Biswal, Bharat B., Meyerand, Mary E., Birn, Rasmus M., Prabhakaran, Vivek
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2012
Assuntos:
Neuroscience
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3468957/
https://ncbi.nlm.nih.gov/pubmed/23087635
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnhum.2012.00281
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