I. Principal Component Analysis, Variance Partitioning, and “Functional Connectivity”
✍ Scribed by Strother, Stephen C.; Kanno, Iwao; Rottenberg, David A.
- Book ID
- 109870913
- Publisher
- Nature Publishing Group
- Year
- 1995
- Tongue
- English
- Weight
- 378 KB
- Volume
- 15
- Category
- Article
- ISSN
- 0271-678X
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The distributed brain systems associated with performance of a verbal fluency task were identified in a nondirected correlational analysis of neurophysiological data obtained with positron tomography. This analysis used a recursive principal-component analysis developed specifically for large data s
## Abstract We describe a principal component analysis (PCA) method for functional magnetic resonance imaging (fMRI) data based on functional data analysis, an advanced nonparametric approach. The data delivered by the fMRI scans are viewed as continuous functions of time sampled at the interscan i