afni.nimh.nih.gov

Dear AFNI experts,

I'm trying to extract the ALFF values from the resting data of Schizophrenia patients. When I'm checking the data quality, I found that the normalization has not happened properly as it intended to be. Below I have attached the codes along with the pictures of overlay of MNI152 template with RSFC file.

#here is the afni proc file

afni_proc.py -subj_id INSP004 \
-blocks despike tshift align tlrc volreg blur mask regress \
-copy_anat INSP004_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 001_vent.nii \
-anat_follower_ROI FSWe epi 002_wm.nii \
-anat_follower_erode FSvent FSWe \
-dsets INSPRest.nii \
-tcat_remove_first_trs 3 \
-tlrc_base MNI152_T1_2009c+tlrc \
-tlrc_NL_warp \
-volreg_align_to MIN_OUTLIER \
-volreg_align_e2a \
-regress_ROI_PC FSvent 3 \
-regress_anaticor_fast \
-regress_anaticor_label FSWe \
-regress_bandpass 0.01 0.1 \
-regress_apply_mot_types demean deriv \
-regress_RSFC \
-regress_est_blur_epits \
-regress_est_blur_errts \
-regress_run_clustsim no

Please suggest me the possible ways to correct it.

Any help would be appreciated in this regard

Thanks
- Korann