Connectivity-informed Sparse Classifiers for fMRI Brain Decoding.
Bernard NgViviana SilessGaël VaroquauxJean-Baptiste PolineBertrand ThirionRafeef AbugharbiehPublished in: PRNI (2012)
Keyphrases
- statistical parametric mapping
- activation detection
- resting state
- functional magnetic resonance imaging
- functional connectivity
- brain regions
- human brain
- resting state fmri
- brain connectivity
- brain activity
- cortical areas
- high dimensional
- event related
- brain images
- sparse data
- data analysis
- activation patterns
- training data
- normal controls
- cognitive states
- cerebral cortex
- brain imaging
- sparse representation
- support vector
- motion correction
- healthy subjects
- linear classifiers
- decoding algorithm
- medical images
- correlation analysis
- machine learning
- training set
- image classification
- human subjects
- pattern classification
- feature selection