Dear AFNI experts,

Could you please let me know how can I find pre-processed but non-statistically analyzed data from proc.py output?

Below is the script I used.

afni_proc.py \
-anat_has_skull yes \
-blocks despike tshift align tlrc volreg mask scale regress \
-copy_anat mprage/mprage.${subj}.${cond}+orig \
-dsets /${subj}/${subj}.${cond}/${subj}.${cond}+orig \
-tcat_remove_first_trs 3 \
-out_dir results \
-script py_result_${subj}.${cond}.script \
-subj_id ${subj} \
-tlrc_base MNI152_T1_2009c+tlrc \
-tlrc_suffix _MNI152 \
-volreg_align_to third \
-volreg_interp -Fourier \
-volreg_opts_vr -twopass -noclip -dfile volreg.${subj}.${cond}.1d \
-volreg_tlrc_warp \
-volreg_warp_dxyz 3 \
-mask_apply epi \
-regress_stim_times /Volumes/BRAINSMITH_DS/Titus/AES2016_FNT/${subj}/${subj}.${cond}/timing/${subj}.${cond}.*.stim.txt \
-regress_stim_labels F NF \
-regress_basis 'BLOCK(4,1)' \
-regress_censor_motion 0.3 \
-regress_opts_3dD \
-gltsym 'SYM: +F -NF' \
-glt_label 1 F_vs_NF

And, the attached is the output files from this script. I am not sure if I can find the pre-processed but non-statistically analyzed data among these outputs or should run another script. Please let me know.

Best,
Jun