1. Variational (VEM) analysis¶

To run a JDE-VEM analysis you need:

• a paradigm csv file corresponding to your experimental design
• the pre-processed (spatially unsmoothed) BOLD data associated with a single run (4D-Nifti file)
• the TR (in s) used at acquisition time
• a parcellation mask (if you normalize your data into MNI space, you can use the one provided with pyhrf)

If you want to use provided parcellation mask, check the path of the file by running:

$ pyhrf_list_datafiles

and check for the stanford_willard_parcellation_3x3x3mm.nii.gz file.

Then you can run:

$ pyhrf_jde_vem_analysis 2.5 stanford_willard_parcellation_3x3x3mm.nii.gz paradigm.csv bold_data_session1.nii

If you want to tune the parameters, check the command line options (see commands). It is advised to set the dt parameter (the temporal resolution of the HRF) and the output folder.

The multirun extension is currently under development and testing.

$ pyhrf_list_datafiles

$ pyhrf_jde_vem_analysis 2.4 subj0_parcellation.nii.gz paradigm_loc.csv subj0_bold_session0.nii.gz