Dear AFNI experts,

I have some basic questions about the resulting file after using 3dLME or 3dMVM on my resting state data (DMN correlation maps). I know that it is possible to add covariates (within subj vars, between sub vars and quantitative vars) and labels to specify interactions . You can expect main and interaction effects from those covariates when you look at the sub-briks of 3dLME/3dMVM output.

My question is, what is the meaning of these sub-briks? Are these the correlations (main/interaction effects) between the covariates and my resting state maps (data which I am working)? or are these the results with the covariates removed?

I think that if I am looking for correlations but I previously established glt and glf labels, then I should convert those F and tstats to r scores. Is that correct?

My confusion arose because I was using 3dtest++ with covariates before. It seems that covariates in 3dtest++ and covariates in 3dLME/3dMVM work different. Am I right?

Thanks a lot,
Karel