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Hi Jon, Who said we don't? It is possible to do partial volume correction to the images that go into randomise. In fact, Doug Greve has recently published a paper <https://dx.doi.org/10.1016%2Fj.neuroimage.2016.02.042> on this topic, that revises and compares various methods. Most are compatible with randomise. All the best, Anderson On 11 August 2017 at 04:30, John anderson < [log in to unmask]> wrote: > Dear FSL experts, > I have two groups of PET images. I registered these images to MNI152 then > I merged these images together using "fslmerge". I created a design matrix > for a group comparison between the groups. Then I ran randomise with 5000 > permutations and TFCE. > > My questions is about partial volume effects PVE. > > In this type of analysis do you correct for PVE? Specifically how this can > be handled in Randomise? > > Recently, I read about PVE in PET Surfer https://surfer.nmr.mgh. > harvard.edu/fswiki/PetSurfer and I am a bit confused about the fact why > in surface based analyses we need to correct for PVE and while in a group > comparison analysis using randomise we don't do it. > > I appreciate any clarification. > Looking forward to learn from you > > Thanks > Jon >