Dear AFNI experts,

My processed data's time-series plots show a straight line only from t=0 to t=1 (see attached image). However, the time-series should certainly look more like my raw data's time-series (see other attached image).

Would you be able to advise how I could fix this error - it seems that only two timepoints are being considered in the processed data? I can also send my full processing pipeline if it would help. The proc.py script I used is below:

afni_proc.py \
-subj_id 101_Exercise \
-copy_anat /Volumes/LaCie/AES101/EXERCISE/anatSS.AES101.nii \
-anat_has_skull no \
-anat_follower anat_w_skull anat /Volumes/LaCie/AES101/EXERCISE/101EXanat_shft.nii.gz \
-anat_follower_ROI aaseg anat /Users/yashkommula/101EX/SUMA/aparc.a2009s+aseg_shft.nii.gz \
-anat_follower_ROI aeseg epi /Users/yashkommula/101EX/SUMA/aparc.a2009s+aseg_shft.nii.gz \
-anat_follower_ROI FSvent epi /Users/yashkommula/101EX/SUMA/fs_ap_latvent_shft.nii.gz \
-dsets /Volumes/LaCie/AES101/EXERCISE/101EXpicview_shft.nii.gz \
-blocks despike tshift align tlrc volreg blur mask scale regress \
-radial_correlate_blocks tcat volreg \
-tcat_remove_first_trs 2 \
-align_opts_aea -cost lpc+ZZ -giant_move -check_flip \
-tlrc_base MNI152_2009_template_SSW.nii.gz \
-tlrc_NL_warp \
-tlrc_NL_warped_dsets /Volumes/LaCie/AES101/EXERCISE/anatQQ.AES101.nii \
/Volumes/LaCie/AES101/EXERCISE/anatQQ.AES101.aff12.1D \
/Volumes/LaCie/AES101/EXERCISE/anatQQ.AES101_WARP.nii \
-volreg_align_to MIN_OUTLIER \
-volreg_align_e2a \
-volreg_tlrc_warp \
-mask_epi_anat yes \
-blur_size 4.0 \
-regress_stim_times /Volumes/LaCie/stimtimes/neutral_actual.1D /Volumes/LaCie/stimtimes/pleasant_actual.1D /Volumes/LaCie/stimtimes/unpleasant_actual.1D \
-regress_stim_labels neutral pleasant unpleasant \
-regress_basis 'BLOCK(20,1)' \
-regress_opts_3dD \
-jobs 4 \
-gltsym 'SYM: neutral' \
-glt_label 1 N-off \
-gltsym 'SYM: pleasant' \
-glt_label 2 P-off \
-gltsym 'SYM: unpleasant' \
-glt_label 3 U-off \
-gltsym 'SYM: pleasant -neutral' \
-glt_label 4 P-N \
-gltsym 'SYM: unpleasant -neutral' \
-glt_label 5 U-N \
-gltsym 'SYM: pleasant -unpleasant' \
-glt_label 6 P-U \
-gltsym 'SYM: neutral -unpleasant' \
-glt_label 7 N-U \
-gltsym 'SYM: unpleasant -pleasant' \
-glt_label 8 U-P \
-gltsym 'SYM: neutral -pleasant' \
-glt_label 9 N-P \
-regress_motion_per_run \
-regress_ROI_PC FSvent 3 \
-regress_ROI_PC_per_run FSvent \
-regress_make_corr_vols aeseg FSvent \
-regress_censor_motion 0.5 \
-regress_censor_outliers 0.05 \
-regress_3dD_stop \
-regress_reml_exec \
-regress_compute_fitts \
-regress_make_ideal_sum sum_ideal.1D \
-regress_est_blur_epits \
-regress_est_blur_errts \
-regress_run_clustsim no \
-regress_apply_mot_types demean deriv \
-html_review_style pythonic \
-execute

Thanks,
Yash