A Feature-Selective Independent Component Analysis Method for Functional MRI

In this work, we propose a simple and effective scheme to incorporate prior knowledge about the sources of interest (SOIs) in independent component analysis (ICA) and apply the method to estimate brain activations from functional magnetic resonance imaging (fMRI) data. We name the proposed method as...

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Detalles Bibliográficos
Autores principales: Li, Yi-Ou, Adalı, Tülay, Calhoun, Vince D.
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2007
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2233814/
https://www.ncbi.nlm.nih.gov/pubmed/18288254
http://dx.doi.org/10.1155/2007/15635

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2233814/
https://www.ncbi.nlm.nih.gov/pubmed/18288254
http://dx.doi.org/10.1155/2007/15635

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