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Johannes - take a look at the recent post from Klaas answering precisely this question (pasted below) best Chris ______________________ You should adjust your data for anything that is a known confound, e.g. realignment parameters. If you deliberately zoom in on a particular set of experimental manipulations and disregard other manipulations, then the latter could be regarded as confounds and removed through adjusting your data during VOI extraction. I would be a little careful with this though since it questions the rationale of the experimental design that you chose in the first place. There may be very good reasons to do this but it always depends on the specific application. I'd say there is no general rule here (except that all sessions should be treated identically in this regard). All the best Klaas Christopher Summerfield [log in to unmask] On Tue, 12 Dec 2006, Johannes Klackl wrote: > Dear SPM users, > > I have a question concerning DCM: > I'm using an experimental design with 3 factors. Movement parameters are > modelled as covariates of no interest at the first level. > Would you recommend to adjust the ROI data for effects of interest > (experimental factors only) before entering them into the DCM? > > Yours, > Johannes Klackl >