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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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書誌詳細
主要な著者: Erhardt, Erik Barry, Rachakonda, Srinivas, Bedrick, Edward J., Allen, Elena A., Adali, Tülay, Calhoun, Vince D.
フォーマット: Artigo
言語:Inglês
出版事項: Wiley Subscription Services, Inc., A Wiley Company 2010
主題:
オンライン・アクセス: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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