I'm running the following command:
3dDeconvolve -input $subfolder/${f1}/medn.brainmask.blur6mm+tlrc $subfolder/${f2}/medn.brainmask.blur6mm+tlrc -polort A \
-local_times \
-num_stimts 11 \
-stim_times 1 /home/shared/aclab-fmri/Studies/33_MOTIP2018/MOTIP18_behav_data/INTERAM/${nicesub}/SA.1D 'SPMG2' \
-stim_label 1 SA \
-stim_times 2 /home/shared/aclab-fmri/Studies/33_MOTIP2018/MOTIP18_behav_data/INTERAM/${nicesub}/WM0F.1D 'SPMG2' \
-stim_label 2 WM0F \
-stim_times 3 /home/shared/aclab-fmri/Studies/33_MOTIP2018/MOTIP18_behav_data/INTERAM/${nicesub}/WM0M.1D 'SPMG2' \
-stim_label 3 WM0M \
-stim_times 4 /home/shared/aclab-fmri/Studies/33_MOTIP2018/MOTIP18_behav_data/INTERAM/${nicesub}/WM1F0.1D 'SPMG2' \
-stim_label 4 WM1F0 \
-stim_times 5 /home/shared/aclab-fmri/Studies/33_MOTIP2018/MOTIP18_behav?data/INTERAM/${nicesub}/WM1F1.1D 'SPMG2' \
-stim_label 5 WM1F1 \
-stim_times 6 /home/shared/aclab-fmri/Studies/33_MOTIP2018/MOTIP18_behav_data/INTERAM/${nicesub}/WM1M0.1D 'SPMG2' \
-stim_label 6 WM1M0 \
-stim_times 7 /home/shared/aclab-fmri/Studies/33_MOTIP2018/MOTIP18_behav_data/INTERAM/${nicesub}/WM1M1.1D 'SPMG2' \
-stim_label 7 WM1M1 \
-stim_times 8 /home/shared/aclab-fmri/Studies/33_MOTIP2018/MOTIP18_behav_data/INTERAM/${nicesub}/WM2F0.1D 'SPMG2' \
-stim_label 8 WM2F0 \
-stim_times 9 /home/shared/aclab-fmri/Studies/33_MOTIP2018/MOTIP18_behav?data/INTERAM/${nicesub}/WM2F1.1D 'SPMG2' \
-stim_label 9 WM2F1 \
-stim_times 10 /home/shared/aclab-fmri/Studies/33_MOTIP2018/MOTIP18_behav_data/INTERAM/${nicesub}/WM2M0.1D 'SPMG2' \
-stim_label 10 WM2M0 \
-stim_times 11 /home/shared/aclab-fmri/Studies/33_MOTIP2018/MOTIP18_behav_data/INTERAM/${nicesub}/WM2M1.1D 'SPMG2' \
-stim_label 11 WM2M1 \
-gltsym 'SYM: +WM0F +WM0M +WM1F0 +WM1F1 +WM1M0 +WM1M1 +WM2F0 +WM2F1 +WM2M0 +WM2M1 -SA' \
-glt_label 1 wm_vs_sa \
-gltsym 'SYM: +WM2M1 +WM2M0 +WM2F1 +WM2F0 -WM0F -WM0M' \
-glt_label 2 2back_vs_0back \
-gltsym 'SYM: +WM1M1 +WM1M0 +WM1F1 +WM1F0 -WM0F -WM0M' \
-glt_label 3 1back_vs_0back \
-gltsym 'SYM: +SA' \
-glt_label 4 SA \
-gltsym 'SYM: +WM0F +WM0M +WM1F0 +WM1F1 +WM1M0 +WM1M1 +WM2F0 +WM2F1 +WM2M0 +WM2M1' \
-glt_label 5 WM \
-tout -xjpeg ${nicesub}_20200218model -x1D ${nicesub}_20200218model \
-bucket ${nicesub}_deconvolution_bucket \
When looking at the resulting bucket dataset, I find that the coefficients for the SA regressor (stim_label 1) are very different from GLT 4, which includes only the SA regressor. Why are they different? What is the GLT test doing in this case? I included it because the results of my other GLTs look really good, as expected, but the results for the SA regressor look weak and confusing - not what I expected - and I was confused, and testing things out to see what would happen.
