Model selection for hemodynamic brain parcellation in FMRI.
Mohanad AlbughdadiLotfi ChaâriFlorence ForbesJean-Yves TourneretPhilippe CiuciuPublished in: EUSIPCO (2014)
Keyphrases
- functional magnetic resonance imaging
- model selection
- human brain
- cross validation
- brain activity
- data analysis
- parameter estimation
- brain images
- hyperparameters
- event related
- pattern classification
- regression model
- high dimensional
- activation patterns
- correlation analysis
- human subjects
- machine learning
- functional connectivity
- variable selection
- bayesian learning
- selection criterion
- error estimation
- cortical areas
- mixture model
- activation detection
- cognitive states
- information criterion
- inter subject
- spatial correlation
- brain regions
- gaussian process
- feature selection
- white matter
- marginal likelihood
- sample size
- bayesian information criterion
- model selection criteria
- information processing
- cerebral blood flow
- data mining
- parameter determination