A general linear model for MEG beamformer imaging.
Matthew J. BrookesAndrew M. GibsonStephen D. HallPaul L. FurlongGareth R. BarnesArjan HillebrandKrish D. SinghIan E. HollidaySusan T. FrancisPeter G. MorrisPublished in: NeuroImage (2004)
Keyphrases
- general linear model
- statistical pattern recognition
- image analysis
- multipath
- image processing
- high resolution
- functional magnetic resonance imaging
- activation patterns
- medical imaging
- independent component analysis
- signal to noise ratio
- high dimensional
- canonical correlation analysis
- brain activity
- minimum variance