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

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-...

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Bibliographic Details
Main Authors: Timothy eMeier, Joseph eWildenberg, Jingyu eLiu, Jiayu eChen, Vince eCalhoun, Bharat eBiswal, Mary eMeyerand, Rasmus eBirn, Vivek ePrabhakaran
Format: Article
Language:English
Published: Frontiers Media S.A. 2012-10-01
Series:Frontiers in Human Neuroscience
Subjects:
Behavior
Cognition
resting state fMRI
resting state networks
parallel ICA
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnhum.2012.00281/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnhum.2012.00281/full

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