Hi Gang,

I modeled the baseline (fixation) since I was using stim_times and wasn't sure how it would be modeled otherwise. I have attached my 3dDeconvolve below. Is the current analysis incorrect?

I do want all of the response types compared to baseline before they are compared with each other. If there is a better way to do this I would love to know (I'm a first time AFNI user).

Thanks,

Jenn


3dDeconvolve \
-input scaled_allruns+orig \
-mask retrieval_mask+orig \
-polort 3 \
-concat '1D: 0 222 444' \
-num_stimts 10 \
-stim_times 1 stim/stim_times.01.1D 'TENT(0, 14, 8)' \
-stim_label 1 RFACE \
-stim_times 2 stim/stim_times.02.1D 'TENT(0, 14, 8)' \
-stim_label 2 RSCR \
-stim_times 3 stim/stim_times.03.1D 'TENT(0, 14, 8)' \
-stim_label 3 RNEW \
-stim_times 4 stim/stim_times.04.1D 'TENT(0, 14, 8)' \
-stim_label 4 KFACE \
-stim_times 5 stim/stim_times.05.1D 'TENT(0, 14, 8)' \
-stim_label 5 KSCR \
-stim_times 6 stim/stim_times.06.1D 'TENT(0, 14, 8)' \
-stim_label 6 KNEW \
-stim_times 7 stim/stim_times.07.1D 'TENT(0, 14, 8)' \
-stim_label 7 NFACE \
-stim_times 8 stim/stim_times.08.1D 'TENT(0, 14, 8)' \
-stim_label 8 NSCR \
-stim_times 9 stim/stim_times.09.1D 'TENT(0, 14, 8)' \
-stim_label 9 NNEW \
-stim_times 10 stim/stim_times.10.1D 'TENT(0, 14, 8)' \
-stim_label 10 BASE \
-iresp 1 irf_RFACE.irf -iresp 2 irf_RSCR.irf \
-iresp 3 irf_RNEW.irf -iresp 4 irf_KFACE.irf \
-iresp 5 irf_KSCR.irf -iresp 6 irf_KNEW.irf \
-iresp 7 irf_NFACE.irf -iresp 8 irf_NSCR.irf \
-iresp 9 irf_NNEW.irf -iresp 10 irf_BASE.irf \
-gltsym glt/glt1.txt -glt_label 1 RFvB \
-gltsym glt/glt2.txt -glt_label 2 RSvB \
-gltsym glt/glt3.txt -glt_label 3 RNvB \
-gltsym glt/glt4.txt -glt_label 4 KFvB \
-gltsym glt/glt5.txt -glt_label 5 KSvB \
-gltsym glt/glt6.txt -glt_label 6 KNvB \
-gltsym glt/glt7.txt -glt_label 7 NFvB \
-gltsym glt/glt8.txt -glt_label 8 NSvB \
-gltsym glt/glt9.txt -glt_label 9 NNvB \
-fitts full_model.fit \
-errts residual_error.fit \
-fout -tout -rout \
-x1D Xmat.x1D \
-bucket ret_decon_results