This guide describes how to prepare LeBel data for LITcoder experiments.
- fMRIPrep preprocessed BOLD in MNI152NLin2009cAsym at 2 mm (res-2)
- Post-processing script:
fmri_processing/to_mni_lebel.py - Dataset-level files placed in
data/lebel/neural_data/:grids_huge.jbltrfiles_huge.jbl
- Per-subject pickles placed directly in
data/lebel/neural_data/:noslice_sub-<SUBJECT_ID>_story_data.pklnoslice_sub-<SUBJECT_ID>_story_data_surface.pkl
- Run fMRIPrep as usual.
- Run the post-processing script:
python fmri_processing/to_mni_lebel.py- Move the produced per-subject pickle files into
data/lebel/neural_data/.
<repo_root>/data/lebel/neural_data/lebel_data.pkl
<repo_root>/data/lebel/neural_data/noslice_sub-<SUBJECT_ID>_story_data.pkl
<repo_root>/data/lebel/neural_data/noslice_sub-<SUBJECT_ID>_story_data_surface.pkl