Hello AFNI team,

Trying to analyze some data with a condition factor and between subject covariate. Just want to see what effect condition, covariate and interaction between them effect brain responding.

The model runs without incident when I don't include any contrasts.

3dLME -prefix $outPath -jobs 20 \
-mask grpMask+tlrc \
-model 'cond*lftm' \
-qVars 'lftm' \
-ranEff '~1' \
-SS_type 3 \
-dataTable \
Subj cond lftm InputFile \
501002 app 9 $aysPath/501003/subAverage/stats.501003+tlrc'[1]' \
501003 app 15 $aysPath/501003/subAverage/stats.501003+tlrc'[1]' \
501004 app 11 $aysPath/501004/subAverage/stats.501004+tlrc'[1]' \
501005 app 11 $aysPath/501005/subAverage/stats.501005+tlrc'[1]' \

However when I include any kind of glt coding the script just hangs and eventually spits out an error.

-num_glt 1 \
-gltLabel 1 'std' -gltCode 1 'cond : 1*app -1*avd' \

I simply want to know what regions the contrast between two factors of the condition are active in the brain.

I can't figure out what why including this gltCode should cause the model to fail. I'm assuming the model is missing something that the gltCode needs to work but I can't figure out what that is.

any help would be greatly appreciated