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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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
格式: Artigo
語言:Inglês
出版: Frontiers Media S.A. 2012
主題:
Neuroscience
在線閱讀: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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