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Hi Max, Is this voxelwise regressor the same for all conditions in a given subject? From your description it seems yes. In that case, there is no need to enter it as nuisance: it's already taken care of by the subject-specific EVs present in the design. All the best, Anderson On Fri, 31 Aug 2018 at 14:31, Max Levinson <[log in to unmask]> wrote: > Thanks Anderson! > > Good to confirm the 1st design is the valid one, as the effect sizes are > larger :) > However is there a way to manipulate the 2nd design to replicate the > results from the 1st? I would like to add voxel-wise regressors for > individual subjects (in a particular voxel, 1 for one subject's inputs and > 0 for all other inputs). With the first design, this is the same exact EV > as the subject-mean EV, so the matrix is rank deficient. > > I thought that the subject means would have already been removed in the > 2nd design, because the final input COPES are all contrasts between two > repeated measures (like A-B). > > Thanks again, > Max > > ######################################################################## > > To unsubscribe from the FSL list, click the following link: > https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=FSL&A=1 > ######################################################################## To unsubscribe from the FSL list, click the following link: https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=FSL&A=1