NiLearn signal clean for surface data

Dear NiLearn experts,

For gifti images output by fmriprep, is NiLearn.signal.clean the appropriate way to remove confounds (similar to image.clean_img for volume data)? Or is there another approach designed for surface data?

Hi,
No there’s no approach dedicated to surface data.
Calling nilearn.signal.clean is atm the best thing you can do indeed.
Best,
Bertrand

MANAGED BY INCF