Thanks very much Steve, Much appreciated. The subject data wasn’t too weird so I just remove them before randomise. Kind regards Erik On 18/01/2012 09:04, "Stephen Smith" <[log in to unmask]> wrote: Hi - yes that's fine - as long as they are not so "weird" that they corrupted the mean_FA image. Cheers On 16 Jan 2012, at 13:10, Erik O'Hanlon wrote: Dear Experts, I've run a tbss analysis on a two group dataset with 50 subjects in each group. The tbss_reg step used -n option as the data is based on young teens. I have to exclude a subject from the analysis and was wondering if it would be acceptable to remove their data from the all_FA_skeletonised file using fslsplit and fslmerge (excluding the unwanted subject) and then run randomise or would I have to rerun the entire analysis. Thanks for any advice Erik --------------------------------------------------------------------------- Stephen M. Smith, Professor of Biomedical Engineering Associate Director, Oxford University FMRIB Centre FMRIB, JR Hospital, Headington, Oxford OX3 9DU, UK +44 (0) 1865 222726 (fax 222717) [log in to unmask] http://www.fmrib.ox.ac.uk/~steve ---------------------------------------------------------------------------