I have used this script below. Does this mean that the datasets were non-linearly transformed to MNI space?
afni_proc.py -subj_id $sb \
-blocks despike tshift align tlrc volreg blur mask regress \
-copy_anat ${sb}_SurfVol.nii \
-anat_follower_ROI aaseg anat aparc.a2009s+aseg.nii \
-anat_follower_ROI aeseg epi aparc.a2009s+aseg.nii \
-anat_follower_ROI FSvent epi aparc.a2009s+aseg_REN_vent.nii.gz \
-anat_follower_ROI FSWe epi aparc.a2009s+aseg_REN_wmat.nii.gz \
-anat_follower_erode FSvent FSWe \
-dsets ${path_dest}/function/$sb/rest+orig.HEAD \
-tcat_remove_first_trs 2 \
-align_opts_aea -cost lpc+ZZ \
-tlrc_base MNI152_2009_template.nii.gz \
-tlrc_NL_warp \
-volreg_align_to MIN_OUTLIER \
-volreg_align_e2a \
-blur_size 8 \
-volreg_tlrc_warp \
-regress_motion_per_run \
-regress_ROI_PC FSvent 3 \
-regress_make_corr_vols aeseg FSvent \
-regress_anaticor_fast \
