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Description
Right now, we generate files with names like GLS005_ses-2_task-graphlocalizer_space-MNI152NLin2009cAsym_desc-aparcaseg_dseg.nii.gz
. However, the contents of the segmentation are the same regardless of the task, because this is just the aseg/aparc resampled into standard space with the resolution of the BOLD, which is generally homogeneous.
Should we leverage res-
here and minimize the number of different aparc/aseg conversions in standard spaces? (if all tasks have exactly the same shape & zooms, then generate just one conversion without res
entity).