Probabilistic independent component analysis for functional magnetic resonance imaging
β Scribed by Beckmann, C.F.; Smith, S.M.
- Book ID
- 118063434
- Publisher
- IEEE
- Year
- 2004
- Tongue
- English
- Weight
- 741 KB
- Volume
- 23
- Category
- Article
- ISSN
- 0278-0062
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## Abstract Spatial Independent component analysis (sICA) has been widely used to analyze functional magnetic resonance imaging (fMRI) data. The well accepted implicit assumption is the spatially statistical independency of intrinsic sources identified by sICA, making the sICA applications difficul
## 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