Modes or models: a critique on independent component analysis for fMRI
β Scribed by Karl J Friston
- Book ID
- 117763268
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 104 KB
- Volume
- 2
- Category
- Article
- ISSN
- 1364-6613
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π SIMILAR VOLUMES
In independent component analysis (ICA), principal component analysis (PCA) is generally used to reduce the raw data to a few principal components (PCs) through eigenvector decomposition (EVD) on the data covariance matrix. Although this works for spatial ICA (sICA) on moderately sized fMRI data, it
## Abstract Independent component analysis (ICA) has been shown as a promising tool for the analysis of functional magnetic resonance imaging (fMRI) time series. Each of these studies, however, used a generalβpurpose algorithm for performing ICA and the computational efficiency and accuracy of elic