A least angle regression method for fMRI activation detection in phase-encoded experimental designs.
Xingfeng LiDamien CoyleLiam P. MaguireThomas Martin McGinnityDavid R. WatsonHabib BenaliPublished in: NeuroImage (2010)
Keyphrases
- activation detection
- regression method
- experimental designs
- experimental design
- motion correction
- regression model
- brain activity
- linear regression
- support vector regression
- partial least squares
- knn
- learning tasks
- kernel function
- regression analysis
- event related
- simulation platform
- k nearest neighbor
- data analysis
- training data
- data sets
- nearest neighbor
- support vector machine
- active learning
- eeg signals
- mri data