The fundamental challenge in the analysis of functional MRI experiments is to identify voxels that show signal changes varying with changing brain states. Difficult in three ways:
- SNR is generally poor, with the activation signal being often no larger than the noise level;
- The neurophysiology that couples the underlying brain activity to the measured response in FMRI is complex and generally poorly understood;
- The noise consists of a complex blend of spatiotemporal deterministic and stochastic components due to physiological and scanner-based artefacts.
- FILM - voxel wise series analysis
- FLAME - multilevel modeling for group analysis
- FEAT - a complete tool for model-based FMRI analysis
- Bayesian inference on constrained linear basis sets for HRF models
- MELODIC - probablistic independent component analysis for FMRI
- Inference via spatial mixture modeling
- BET - brain-nonbrain segmentation
- FAST - tissue-type segmentation and bias field correction
- FLIRT - affine intermodal image registration
- MCFLIRT and FORCE - head motion correction
- SIENA - brain change analysis
FSL - FMRIB's software library: FMRIB's Software Library. Available as both source code and as self-contained binary distributions for many platforms. Freely available for academic (noncommercial) use. Additional help is available via the FSL email list at www.jiscmail.ac.uk/lists/fsl.html
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