Dear Conn users

In a seed-to-voxel second-level analysis, I am planning a t-contrast between two different resting–state sessions: session A (1) & session B (-1). How can I know if the connectivity results of this t-contrast are based
on positive or  negative (Anti-)  correlations ?

One way to distinguish between the positive and negative correlations might be to first) define a mask from z-transformed r-maps from positive and negative correlations separately and second) to then use these masks separately to restrict the between-sessions analysis for connectivity maps on only positive or negative correlations respectively. This way it should facilitate the interpretations, because the results would be limited to regions showing for example anticorrelations only.

Do you consider such a procedure as being valid?

Thank you very much for your thoughts!

Best,
Diana