Dear Afni experts, as you can appreciate from the picture, there seems to be a strong trend in my time series, which I don't want to see in my plots.
This is the command (is used a very high polynomial degree because the scans are 1200repetitions)

3dDeconvolve -input pb04.$subj.r*.scale+orig.HEAD \
-censor motion_${subj}_censor.1D \
-polort 20 \
-num_stimts 7 \
-stim_times 1 stimuli/onset_times_HRF_240s_baseline.txt \
'CSPLINzero(0,20,8)' \
-stim_label 1 electro \
-stim_file 2 motion_demean.1D'[0]' -stim_base 2 -stim_label 2 roll \
-stim_file 3 motion_demean.1D'[1]' -stim_base 3 -stim_label 3 pitch \
-stim_file 4 motion_demean.1D'[2]' -stim_base 4 -stim_label 4 yaw \
-stim_file 5 motion_demean.1D'[3]' -stim_base 5 -stim_label 5 dS \
-stim_file 6 motion_demean.1D'[4]' -stim_base 6 -stim_label 6 dL \
-stim_file 7 motion_demean.1D'[5]' -stim_base 7 -stim_label 7 dP \
-iresp 1 iresp_electro.$subj \
-sresp 1 sresp_electro.$subj \
-fout -tout -x1D X.xmat.1D -xjpeg X.jpg \
-x1D_uncensored X.nocensor.xmat.1D \
-fitts fitts.$subj \
-errts errts.${subj} \
-bucket stats.$subj

The Question:
Is it supposed to look like that? Would I have to generate a contrast between my stimulus vector and the 20 polort vectors of the X matrix in order to see the cleaned data that I would like to plot (horizontal lines with the low frequencies regressed out, only stimulus related signal + noise) ? How can I do this using -gltsym when the polort vectors have no label?




the graph shows the all_runs bucket overlayed with the fitts bucket.