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Comparison of multi‐subject ICA methods for analysis of fMRI data

Spatial independent component analysis (ICA) applied to functional magnetic resonance imaging (fMRI) data identifies functionally connected networks by estimating spatially independent patterns from their linearly mixed fMRI signals. Several multi‐subject ICA approaches estimating subject‐specific t...

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Main Authors: Erhardt, Erik Barry, Rachakonda, Srinivas, Bedrick, Edward J., Allen, Elena A., Adali, Tülay, Calhoun, Vince D.
格式: Artigo
語言:Inglês
出版: Wiley Subscription Services, Inc., A Wiley Company 2010
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC3117074/
https://ncbi.nlm.nih.gov/pubmed/21162045
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/hbm.21170
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