Dear AFNI experts,
Below is the script we used to preprocess my EPI (task-based) data. We are looking for pre-processed but non-statistically analyzed data so we removed regress options.
afni_proc.py \
-anat_has_skull yes \
-blocks despike tshift align tlrc volreg mask scale regress \
-copy_anat mprage/mprage.${subj}.${cond}+orig \
-dsets /Users/lab/Desktop/AES2016_FNT/${subj}/${subj}.${cond}/FNT/fnt.${subj}.${cond}+orig \
-out_dir Purcell_result_without_regress_glt \
-script py_result_${subj}.${cond}.script \
-scr_overwrite \
-subj_id ${subj} \
-verb 2 \
-align_opts_aea -deoblique off -giant_move -Allineate_opts -usetemp \
-tlrc_base MNI152_T1_2009c+tlrc \
-tlrc_opts_at -ok_notice -dxyz 1 -pad_base 100 -init_xform AUTO_CENTER \
-tlrc_suffix _MNI152 \
-volreg_align_to third \
-volreg_interp -Fourier \
-volreg_opts_vr -twopass -noclip -dfile volreg.${subj}.${cond}.1d \
-volreg_tlrc_warp \
-volreg_warp_dxyz 3
When I checked the data quality, I see some discrepancies between the volreg data and MNI space (see attached picture). Could you please let me know how to address this gap?
Sorry, I accidentally posted two same messages. Could you please delete the above?
Best,
JW
Edited 2 time(s). Last edit at 11/24/2019 05:32PM by JW.
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