Parallel ICA identifies sub-components of resting state networks that covary with behavioral indices
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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-ICA to test the hypothesis that spatial sub-components of common resting state networks (RSNs) cov...
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ژورنال
عنوان ژورنال: Frontiers in Human Neuroscience
سال: 2012
ISSN: 1662-5161
DOI: 10.3389/fnhum.2012.00281