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Hi FSLers, I need to explain how randomise + TFCE works in an intuitive manner. Could you please say if the following is accurate? First of all, an unpermuted t-map is computed. This would be a multiple linear regression at each voxel. TFCE is then fed with this unpermuted t-map, and an unpermuted TFCE-map is computed. Then, at each permutation in randomise: 1. A t-map is computed (and maximum t value is stored for later generating the max(t) null distribution). 2. TFCE algorithm is fed with that t-map, TFCE-map is computed (and the maximum TFCE score is stored for later generating the null distribution). After N permutations, we can compare our unpermuted TFCE-map with the null distribution made of N max(TFCE) scores to get a FWE-corrected p-map. (And, if we compared the unpermuted t-map with the max(t) null distribution, we would get voxelwise FWE p-map?) Thanks a lot, Miguel