Hi,
I fitted a model on the group level using 3dMVM/3dMEMA (I tried both ways, got almost the same results).
In the model, I have one within-subject 2-level categorical predictor which relates to the task that was performed in the scanner (words/scrambled), and three between-subject continuous variables that were measured outside the scanner (Root, Sem and Phon). I want to see how these variables are related to brain activation.
I defined the three following contrasts (in 3dMVM):
-gltlabel 1 Root_effect -gltCode 1 'Morph: 1*words - 1*scrambled Root : ' \
-gltlabel 2 Sem_effect -gltCode 2 'Morph: 1*words - 1*scrambled Sem : ' \
-gltlabel 3 Phon_effect -gltCode 3 'Morph: 1*words - 1*scrambled Phon : ' \
Now, I want a statistical brain map that contrasts Root_effect with Sem_effect. How do I achieve that?
Thank you,
Galit
