Hi Chelsea,All p-value maps produced by randomise are 1-p, so you'd need to threshold at 0.95.All the best,AndersonOn 21 July 2017 at 12:52, Chelsea Stillman <[log in to unmask]> wrote:Hello,We are running randomise on VBM data and want to make sure we are properly viewing the results: When we open the unthresholded zstat image and manually provide a minimum height threshold of z = 2.3, we see a fair number of clusters. Our question arises from the observation that the clusters that appear in the tfce corrected image thresholded at min of p = 0 and max of p = .05 overlap with those in the uncorrected z images. However, the website directions indicate that we should be viewing the tfce images at a 1-p threshold of .95 - 1. We have started viewing the images with a 0-.05 threshold because we noted that the values in the clusters appeared to be p values (not 1-p values as indicated on the website). Can anyone confirm whether it is okay to threshold the tfce output image in this way?Thanks in advance for any responses!chelseaChelsea Stillman, Ph.D.NIH/NIMH T32 Postdoctoral FellowDepartment of PsychiatryUniversity of Pittsburgh Medical SchoolPrimary Appointment: Brain Aging & Cognitive Health LabCommercial Translation Architect, sciVelo