Dear Dr. Spielberg,

Forgive my ignorance, I meet the same questions and cannot fully understand what you replied. So, can we give an example：


If the connectivity matrix is 90*90*5*2 , now we set a design matrices:
(5 subjects: sub1/sub2/sub3/sub4/sub5; 2 conditions: A/B )

we plan to compare A > B, should predictors be set like this?

predictors: 1 1 1 1 1
options: Contrasts
contrast: [1 0] (group is 1, intercept is 0)
A < B contrast: [-1 0]

What do these two columns represent? And how should I set the predictors and contrast to find the correction between A > B and scale score?
Best wishes,
Wenlong