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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Bibliographic Details
Published in:International Journal of Biomedical Imaging
Main Authors: Yi-Ou Li, Tülay Adali, Vince D. Calhoun
Format: Article
Language:English
Published: Wiley 2007-01-01
Online Access:http://dx.doi.org/10.1155/2007/15635