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Independent component analysis in the presence of noise in fMRI

✍ Scribed by Dietmar Cordes; Rajesh Nandy

Book ID
108213701
Publisher
Elsevier Science
Year
2007
Tongue
English
Weight
978 KB
Volume
25
Category
Article
ISSN
0730-725X

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Independent component analysis (ICA), which separates fMRI data into spatially independent patterns of activity, has recently been shown to be a suitable method for exploratory fMRI analysis. The validity of the assumptions of ICA, mainly that the underlying components are spatially independent and