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Benefits of Independent Component modelling of structured noise in FMRI GLM analysis

✍ Scribed by Makni, Salima; Beckmann, Christian; Smith, Steve; Woolrich, Mark

Book ID: 122777514
Publisher: Elsevier Science
Year: 2009
Tongue: English
Weight: 120 KB
Volume: 47
Category: Article
ISSN: 1053-8119
DOI: 10.1016/S1053-8119(09)71786-0

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## Abstract Independent component analysis (ICA) is an approach to solve the blind source separation problem. In the original and extended versions of ICA, nonlinearity functions are fixed to have specific density forms such as super‐Gaussian or sub‐Gaussian, thereby limiting their performance when