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README.md

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Surface analysis of fMRI data

  • 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.