Iterative approach of dual regression with a sparse prior enhances the performance of independent component analysis for group functional magnetic resonance imaging (fMRI) data.
Yong-Hwan KimJungHoe KimJong-Hwan LeePublished in: NeuroImage (2012)
Keyphrases
- independent component analysis
- functional magnetic resonance imaging
- mixing matrix
- independent components
- human brain
- factor analysis
- brain activity
- high dimensional
- principal component analysis
- signal processing
- event related
- blind source separation
- regression model
- data analysis
- correlation analysis
- model selection
- pattern classification
- regression analysis
- brain regions
- human subjects
- spatial correlation
- brain images
- canonical correlation analysis
- computer vision
- information processing
- natural images
- ground truth
- image analysis
- source signals
- decision making