Thanks for the reply.

What I need is to do the same analysis I did at the group level (ANOVA that compared condition SRFvB to condition SRSvB across subjects) at the individual level.

Does the analysis you are suggesting for 3dclac do the same sort of calculation as the ANOVA? If so, I'm not sure exactly how to enter all of the arguments.

My datasets are: SRFvB+tlrc and SRSvB+tlrc and I need to know the difference in activation at (LPI) x,y,z (-36, -39, -11) and (31, -11, -15).

I think I need to do something like this:

3dcalc -a RFvB+orig -b RSvB+orig -expr (a-b)

But how to I specify the coordinate?

Also, you totally lost me on doing a t-test in 3dDeconvolve. Can you give me an example? My 3dDeconvolve is posted below, and what I want to do a t-test on is the output of RFvB and RSvB. I can't find documentation on how to do a t-test in 3dDeconvolve.

Thank you.


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