Hi AFNI experts,

I am a very new AFNI user, and I'm trying to estimate my betas through the 3dLSS method. The problem is that in my experimental design (2x2x2x2, 192 total trials distributed in 12 separated runs, 2 trials per condition in each run), the number of stimulus times for a given condition is maximum 2 for run, and can be 1 in some cases (due to participants errors during the task), and also there are some regressor with always 1 stim times (a cue with the block type at the beginning of each run). This creates an error when I'm running the 3dLSS:
"FATAL ERROR: Matrix attribute BasisColumns_000.. shows only 1 column for stim_time_IM. 3dLSS is meant to be used when more than one stimulus time was given, and then it computes the response beta or each stim time separately. If you have only one stim time with -stim_times_IM, you can use the output dataset from 3dDeconvolve (or 3dREMLfit) to get that single beta directly".

Does this mean that I need to run the 3dDeconvolve to estimate the betas of the stim_times with only 1 stimulus time, and after, run the 3dLSS to estimate the betas of the stim times with more than 1 stimulus time? Because this seems complicated, and I wonder if it can be done in some other way.

I attach my script next, in case it is useful or the is any problem somewhere else:

3dDeconvolve -input afniaufIMPRECs01+tlrc.HEAD \
-polort A \
-local_times \
-num_stimts 212 \
-concat '1D: 0 141 282 423 564 705 846 987 1128 1269 1410 1551' \
-stim_times_IM 1 Run1_BlockCue_Impl.txt 'GAM(8.6,0.547)' -stim_label 1 Run1_BlockCue_Impl \
-stim_times_IM 2 Run1_Errors_Grid.txt 'GAM(8.6,0.547)' -stim_label 2 Run1_Errors_Grid \
-stim_times_IM 3 Run1_Errors_Inst.txt 'GAM(8.6,0.547)' -stim_label 3 Run1_Errors_Inst \
-stim_times_IM 4 Run1_Grid_Impl_Faces_1Dim_1Resp.txt 'GAM(8.6,0.547)' -stim_label 4 Run1_Grid_Impl_Faces_1Dim_1Resp \
-stim_times_IM 5 Run1_Grid_Impl_Faces_1Dim_2Resp.txt 'GAM(8.6,0.547)' -stim_label 5 Run1_Grid_Impl_Faces_1Dim_2Resp \
-stim_times_IM 6 Run1_Grid_Impl_Faces_2Dim_1Resp.txt 'GAM(8.6,0.547)' -stim_label 6 Run1_Grid_Impl_Faces_2Dim_1Resp \
-stim_times_IM 7 Run1_Grid_Impl_Faces_2Dim_2Resp.txt 'GAM(8.6,0.547)' -stim_label 7 Run1_Grid_Impl_Faces_2Dim_2Resp \
-stim_times_IM 8 Run1_Grid_Impl_Food_1Dim_1Resp.txt 'GAM(8.6,0.547)' -stim_label 8 Run1_Grid_Impl_Food_1Dim_1Resp \
-stim_times_IM 9 Run1_Grid_Impl_Food_1Dim_2Resp.txt 'GAM(8.6,0.547)' -stim_label 9 Run1_Grid_Impl_Food_1Dim_2Resp \
-stim_times_IM 10 Run1_Grid_Impl_Food_2Dim_1Resp.txt 'GAM(8.6,0.547)' -stim_label 10 Run1_Grid_Impl_Food_2Dim_1Resp \
-stim_times_IM 11 Run1_Grid_Impl_Food_2Dim_2Resp.txt 'GAM(8.6,0.547)' -stim_label 11 Run1_Grid_Impl_Food_2Dim_2Resp \
-stim_times_IM 12 Run1_Inst_Impl_Faces_1Dim_1Resp.txt 'GAM(8.6,0.547, 2.5)' -stim_label 12 Run1_Inst_Impl_Faces_1Dim_1Resp \
-stim_times_IM 13 Run1_Inst_Impl_Faces_1Dim_2Resp.txt 'GAM(8.6,0.547, 2.5)' -stim_label 13 Run1_Inst_Impl_Faces_1Dim_2Resp \
-stim_times_IM 14 Run1_Inst_Impl_Faces_2Dim_1Resp.txt 'GAM(8.6,0.547, 2.5)' -stim_label 14 Run1_Inst_Impl_Faces_2Dim_1Resp \
-stim_times_IM 15 Run1_Inst_Impl_Faces_2Dim_2Resp.txt 'GAM(8.6,0.547, 2.5)' -stim_label 15 Run1_Inst_Impl_Faces_2Dim_2Resp \
-stim_times_IM 16 Run1_Inst_Impl_Food_1Dim_1Resp.txt 'GAM(8.6,0.547, 2.5)' -stim_label 16 Run1_Inst_Impl_Food_1Dim_1Resp \
-stim_times_IM 17 Run1_Inst_Impl_Food_1Dim_2Resp.txt 'GAM(8.6,0.547, 2.5)' -stim_label 17 Run1_Inst_Impl_Food_1Dim_2Resp \
-stim_times_IM 18 Run1_Inst_Impl_Food_2Dim_1Resp.txt 'GAM(8.6,0.547, 2.5)' -stim_label 18 Run1_Inst_Impl_Food_2Dim_1Resp \
-stim_times_IM 19 Run1_Inst_Impl_Food_2Dim_2Resp.txt 'GAM(8.6,0.547, 2.5)' -stim_label 19 Run1_Inst_Impl_Food_2Dim_2Resp \
-stim_times_IM 20 Run2_BlockCue_Mem.txt 'GAM(8.6,0.547)' -stim_label 20 Run2_BlockCue_Mem \
-stim_times_IM 21 Run2_Errors_Grid.txt 'GAM(8.6,0.547)' -stim_label 21 Run2_Errors_Grid \
-stim_times_IM 22 Run2_Errors_Inst.txt 'GAM(8.6,0.547)' -stim_label 22 Run2_Errors_Inst \
.
.(the script is very long, so I omitted some for readability)
.
-stim_times_IM 212 Run12_Inst_Mem_Food_2Dim_2Resp.txt 'GAM(8.6,0.547, 2.5)' -stim_label 212 Run12_Inst_Mem_Food_2Dim_2Resp \
-ortvec MovReg.txt'[1..6]' 'MovReg'\
-x1D decon_3ddeconvolve_1XD.x1D \
-x1D_stop \
-xsave \
-bucket post_3ddeconvolve_aufIMPRECs01 \
-allzero_OK \
-GOFORIT 800 \

3dLSS -verb -matrix decon_3ddeconvolve_1XD.x1D \
-input afniaufIMPRECs01+tlrc.HEAD \

Thank you in advance,
Alberto