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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Hlavní autoři: Meier, Timothy B., Wildenberg, Joseph C., Liu, Jingyu, Chen, Jiayu, Calhoun, Vince D., Biswal, Bharat B., Meyerand, Mary E., Birn, Rasmus M., Prabhakaran, Vivek
Médium: Artigo
Jazyk:Inglês
Vydáno: Frontiers Media S.A. 2012
Témata:
Neuroscience
On-line přístup: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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