Hi AFNI experts,
I know that this is an old thread, but thank you very much for this topic, it helped us a lot.
We are doing a similar study: we want to find if a clinical score correlates with the correlation maps (z-scored) from a seed-based analysis, voxel-wise. I have some additional questions.
1) Is there a reason why Chen's suggestion would be more appropriate than Glen's? I found Glen’s more intuitive, but maybe it’s because it doesn’t take into account the centering?
2) Also, could you explain the output's colors? If I understand well, the correlation between the score and the maps would be represented by the marginal effect of the score (and its associated t-stat). But I am not sure of the link between marginal effect and correlation. Marginal effect would be how the score is a good predictor of the seed-based correlation score?
So blue would be a bad predictor ==> no correlation
Red would be a good predictor ==> strong correlation?
thank you very much
