Thanks for the response!

So if I understand correctly, the idea is rather than looking at the smoothness of the residuals from the full deconvolution model (or whatever method is being used), we're looking at the variance (across subjects, rather than across voxels?) in the individual betas we get from that model?

1. Does that mean we need to find a separate threshold for each and every contrast we want to look at?
2. DIf I understand correctly, this would mean that contrasts (or simple conditions) with more individual differences in activation level will necessitate larger clusters, because the betas will have larger residuals across subjects. Is that what we want to control for in cluster thresholding?



Edited 1 time(s). Last edit at 10/31/2019 06:40AM by henrybrice.