Hi Gang
I see. However, in [
afni.nimh.nih.gov], Page 9, it shows
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4) Network-level test:
multivariate model (MVM)
{FA1 , FA2, FA3, ...}~ var1 + var2 + var3 ...
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Here is my idea about this test: multi-X was used to test the effect on the multi-Y. And the ys are brain connectivity acquired from the DTI data. It should be similar to voxel by voxel activity.
If this idea was correct, then i can use 3dmvm to perform {voxels by voxels activity} ~ var1 +var2 +var3. If var1 showed significant effect on the voxels-by-voxels, then I can say multi-voxels contained information to encode the var1.
If it is still OK, then I need to know how to calculate the cross validation for multi-variate ANOVA?
Maybe I am crazy, as I really want to perform cvMANOVA via AFNI program.
rujing
