An independent component analysis of fMRI data of grapheme–colour synaesthesia
✍ Scribed by Karsten Specht; Bruno Laeng
- Book ID
- 111387441
- Publisher
- John Wiley and Sons
- Year
- 2011
- Tongue
- English
- Weight
- 299 KB
- Volume
- 5
- Category
- Article
- ISSN
- 1748-6645
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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
## Abstract ## Purpose To evaluate the performance of different contrast functions used in Independent Component Analysis (ICA) of functional magnetic resonance imaging (fMRI) data at low signal‐to‐noise ratio (SNR), present in fMRI paradigms such as resting‐state acquisitions. ## Materials and M