Dear Gang,

Thank you for your quick response! Here are answers to your questions:

1) Any missing data?
No missing data

2) Equal number of subjects across the two groups?
The groups are unequal in size, something like 18 and 14

3) Do you have t-statistic available for each effect estimate (beta)?
I was planning to run the model on z-score maps that were converted from pearson correlation maps. That is, I am interested in seeing how "resting-state functional connectivity" changes differentially based on treatment.

I am thinking to run this command:
3dMVM -prefix group_treatment_interaction -jobs 1 -bsVars Group -wsVars Time -dataTable @table.txt
Where "table.txt" is organized like this:
Subj Group Time InputFile \
1 treatment_1 preTreatment /path_to_data/pretreatment_data.nii.gz \
1 treatment_1 postTreatment /path_to_data/posttreatment_data.nii.gz \
2 treatment_2 preTreatment /path_to_data/pretreatment_data.nii.gz \
2 treatment_2 postTreatment /path_to_data/posttreatment_data.nii.gz \
...

My undertanding is that 3dMVM computes interactions automatically between within and between subject effects, so I imagine an F-map output from this command will be what I am looking for. Correct?

Thank you for your help!

Matthew



Edited 1 time(s). Last edit at 05/24/2018 05:56PM by Matthew_2.