A General Probabilistic Model for Group Independent Component Analysis and Its Estimation Methods
β Scribed by Ying Guo
- Book ID
- 109224533
- Publisher
- John Wiley and Sons
- Year
- 2011
- Tongue
- English
- Weight
- 480 KB
- Volume
- 67
- Category
- Article
- ISSN
- 0006-341X
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## Abstract Independent component analysis (ICA) is a promising analysis method that is being increasingly applied to fMRI data. A principal advantage of this approach is its applicability to cognitive paradigms for which detailed models of brain activity are not available. Independent component an
## Abstract ## Purpose To evaluate the relative effectiveness of three previously proposed methods of performing group independent component analysis (ICA) of functional magnetic resonance imaging (fMRI) data. ## Materials and Methods Data were generated via computer simulation. Components were