Hello,
I'm having trouble interpreting how my independent component maps relate to my task.
I used the dual_regression script to obtain subject-specific time courses for all the components in my group ICA. The component/network I care about in the group ICA contains voxels that are significantly negative and voxels that are significantly positive (in roughly equal proportions). When I regress the dr_stage1 time courses onto my task design matrices (which have two main conditions), the positive/negative component of interest is significantly associated with both conditions, but the association is much stronger for one condition compared to the other condition.
It seems like the difference I'm observing could arise due to how the conditions modulate a) the positive portion of the component, b) the negative portion of the component, or c) both the positive and negative portion of the component. Is that correct? If so, what sort of tests could I run to distinguish between these alternatives?
Thanks!
David
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