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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Bibliografiska uppgifter
Huvudupphovsmän: Meier, Timothy B., Wildenberg, Joseph C., Liu, Jingyu, Chen, Jiayu, Calhoun, Vince D., Biswal, Bharat B., Meyerand, Mary E., Birn, Rasmus M., Prabhakaran, Vivek
Materialtyp: Artigo
Språk:Inglês
Publicerad: Frontiers Media S.A. 2012
Ämnen:
Neuroscience
Länkar: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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