Dear Doug, Thank you, but I am only more confused after reading the summary. The summary basically reaffirms my understanding that "mris_preproc" gives "an average subject". How can this be an appropriate "data" for GLM, which for sure needs multiple data points?
Thank you! Sincerely, Ye On Sun, Apr 6, 2014 at 5:12 PM, Douglas Greve <[email protected]>wrote: > Hi Ye, have you looked at the mris_preproc help? You can access it with > mris_preproc --help. Let me know if that does not answer your questions > doug > > > > > > On 4/6/14 6:09 PM, ye tian wrote: > > Hello Freesurfers, > > I understand that the output of "mris_preproc" can be the input of > "mris_glmfit". In mris_glmfit, a GLM is performed. > > Does "mris_preproc" give you a smoothed average of all the subjects? > If that's the case, how can you perform a GLM with just the average? Don't > you need the data (smoothed or not) of all subjects? > > Thank you very much! > > Sincerely, > Ye > > > _______________________________________________ > Freesurfer mailing > [email protected]https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer > > > > _______________________________________________ > Freesurfer mailing list > [email protected] > https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer > > > The information in this e-mail is intended only for the person to whom it > is > addressed. If you believe this e-mail was sent to you in error and the > e-mail > contains patient information, please contact the Partners Compliance > HelpLine at > http://www.partners.org/complianceline . If the e-mail was sent to you in > error > but does not contain patient information, please contact the sender and > properly > dispose of the e-mail. > >
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