Hi Donald,
Thanks a lot. How about solution 3?
Solution (3).
Combine regions A and B as a single mask, called C. Construct another linear regression model and enter V and S as the two covariates. Perform small-volume correction (SVC) analysis in region C. If the contrast (1 0) shows that region A is significantly predicted by V after regressing out the effect of S, and contrast (0 1) shows that B is correlated with S after regressing out the effect of V, I can conclude a "functional segregation" in regions A and B.
Thanks. Mike
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