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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Detalles Bibliográficos
Main Authors: Erhardt, Erik Barry, Rachakonda, Srinivas, Bedrick, Edward J., Allen, Elena A., Adali, Tülay, Calhoun, Vince D.
Formato: Artigo
Idioma:Inglês
Publicado: Wiley Subscription Services, Inc., A Wiley Company 2010
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Research Articles
Acceso en liña: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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