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What's your data (not EV)? If you use filtered_func_data from your other GLM analysis, you should turn prestats off, because the data is already preprocessed, or if you use your original data, you should do all steps. On Thu, Apr 15, 2010 at 8:41 PM, Ella Hinton <[log in to unmask]> wrote: > Hi > > I am in the process of running a PPI analysis for the first time. I would be grateful for some clarification regarding what preprocessing to set up in the Feat Design from Jill O'Reilly's page. > > Under 3. Set up your Feat design > It says: > Go into Feat and load your data and set up your pre-processing as normal > > but then it says: > If you are using the filtered_func from your GLM analysis as input, remember not to re-do any pre-processing steps such as BET, deleting volumes, or filtering. > > I have just extracted the timecourse from the seed ROI using the filtered func data and added it as an EV, as instructed. Does this mean I should turn off BET etc from the Feat model, even though it originally suggests to set up the preprocessing as normal? I've tried running it with one individuals dataset both ways and get different results, and I'm not sure which to go with for the rest of the data. > > Apologies if I've missed something, but would be very grateful for some pointers! > With many thanks > Ella Hinton > -- Best Regards Xue, Feng Phd. candidate Major in Developmental Cognitive Neuroscience National Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University Beijing, China. 100875 Tel: +86-13810154455 web: http://psychbrain.bnu.edu.cn ============================================== Welcome to MuDuo JinSheng BBS @ Beijing Normal University telnet://bbs.mdjs.org http://bbs.mdjs.org