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Dear Ling, Unless there is a strong reason not to, you can just include A and B in the same model and run a 1,-1 contrast to look for significant differences between them. Hope this helps, Kind Regards, Matthew -------------------------------- Dr Matthew Webster FMRIB Centre John Radcliffe Hospital University of Oxford On 12 Nov 2019, at 18:00, Ling <[log in to unmask]<mailto:[log in to unmask]>> wrote: Dear experts, I ran two separate TBSS to correlate FA with two variables A and B (GLM model), and I want to compare whether these two correlation coefficients differ at a voxel-wise level. I was thinking to convert the two t-stat maps that I got from the two separated TBSS (FA-A and FA-B) into two r-stat maps and using Hotelling-Williams test (http://crr.ugent.be/archives/546) to get a single t-stat map, which represents the difference of the two associations at each voxel. Then the question is how to correct for multiple comparisons using permutation test? Since in order to run a permutation test, you need data points for each subjects. But here, for each voxel, there is only one value (a t value) . I wonder whether this way of comparing correlations for the same sample makes sense and how to proceed? Thank you very much for your help! Ling ######################################################################## To unsubscribe from the FSL list, click the following link: https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=FSL&A=1 ######################################################################## To unsubscribe from the FSL list, click the following link: https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=FSL&A=1