Hi,
I am using 3dmvm to look at main effects and interaction for 3 factors : group, age and sex with resting state data. I also need to look at correlation of a behavioural data with resting states I wonder if the following GLTs are correct :
glt1: correlation of behav1 difference between con and pat , controlling for age and sex?
glt2: correlation of behav1 with con , controlling for age and sex ?
glt3: main effect of group controlling for age and sex?
3dMVM -prefix mvm_group_age_sex_behav1 -jobs 4 \
-bsVars "group*age*sex*behav1" \
-qVars behav1 \
-num_glt 3 \
-gltLabel 1 con_vs_pat_behav1 -gltCode 1 'group : 1*con -1*pat behav1:' \
-gltLabel 2 con_corr_behav1 -gltCode 2 'group : 1*con behav1:'' \
-gltLabel 3 group_main -gltCode 3 'group : 1*con -1*pat' \
-dataTable \
Subj group age sex behav1 InputFile \
subj001 con old female 1.4 subj001_ses-01_rs.nii \
subj002 pat old female 1 subj002_ses-01_rs.nii \
subj003 pat yon male 1 subj003_ses-01_rs.nii \
subj004 con yon male 2.6 subj004_ses-01_rs.nii