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Source density‐driven independent component analysis approach for fMRI data

Independent component analysis (ICA) has become a popular tool for functional magnetic resonance imaging (fMRI) data analysis. Conventional ICA algorithms including Infomax and FAST‐ICA algorithms employ the underlying assumption that data can be decomposed into statistically independent sources and...

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Detalles Bibliográficos
Publicado en:Hum Brain Mapp
Main Authors: Hong, Baoming, Pearlson, Godfrey D., Calhoun, Vince D.
Formato: Artigo
Idioma:Inglês
Publicado: Wiley Subscription Services, Inc., A Wiley Company 2005
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC6871729/
https://ncbi.nlm.nih.gov/pubmed/15832316
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/hbm.20100
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