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Hi - you could adapt Featquery to work on the lower-level results in standard space - but it might be quite a lot of work to make these changes. However, I wouldn't think that this is necessarily a good idea. If the mask is varying by such a large factor across subjects, then this suggest that possibly the standard space registrations were not good? Or alternatively is this because the masks are very tiny/thin and that the downsampling and thresholding is having a large effect? In which case you might want to change (eg lower) the post-interpolation thresholding option. Cheers, Steve. On 27 Jul 2007, at 12:32, Daniel Irlam wrote: > Hello > > I have a (hopefully simple) practical question regarding use of > Featquery. > > At the moment I am creating masks in standard space defined from > higher level (group) analysis. > When I use such a mask in the Featquery it naturally gets > transformed into the lower resolution > subject specific space of each individual subject. Somewhat > suprisingly (well to me at least) > the size of the transformed subject-space mask can vary by a factor > of 2 or more. Intuitively I > don't like this extra degree of variability in my analysis. > > I wondered therefore whether it was possible in Featquery (or > simple for me to change), that rather than > transforming the standard space mask into individual subject masks, > instead to invert the logic and > use the subject space stats transformed into standard space with > the mask? Having done a higher order > analysis, the transformed subject space stats already seem to exist > in my first level feat /reg_standard/stats > dirs. > > many thanks > > Daniel > > -- > Daniel Irlam Ph.D > [log in to unmask] ------------------------------------------------------------------------ --- 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 ------------------------------------------------------------------------ ---