- run fmriprep on cluster (slurm script and singularity code)
- test GLM in nilearn and compare with SPM
- parcellate data: workbench, nilearn?
The jupyter notebook BRAINT_GLM.ipynb shows how to smooth and run First level GLM on three kind of data:
- NIFTI
- GIFTI
- CIFTI
for the same run from the BRAINT project.
The jupyter notebooks BRAINT_GLM-*.ipynb show how to smooth and run First level GLM on three kind of data: NIFTI, GIFTI, CIFTI. Also for CIFTI, examples of parcellation with hcp-utils are shown.