It depends a bit on whether they are nuisance regressors or not. If they are not nuisance regs, then I would be very careful normalizing them because it could make the regression coefficients hard to interpret when comparing across subjects (you would probably just use the same scale for all subjects). If they are nuisance, then z scoring them is fine.
On 02/12/2017 02:52 AM, Reza Rajimehr wrote: > In a functional analysis, we have a set of external regressors (e.g. > mean luminance of stimuli, size of stimuli, etc.). Should we normalize > values before including them in the regressor files? If so, what is > the recommended way of normalization ... z-scoring? > > Thanks, > Reza > > > _______________________________________________ > Freesurfer mailing list > Freesurfer@nmr.mgh.harvard.edu > https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer -- Douglas N. Greve, Ph.D. MGH-NMR Center gr...@nmr.mgh.harvard.edu Phone Number: 617-724-2358 Fax: 617-726-7422 Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting FileDrop: https://gate.nmr.mgh.harvard.edu/filedrop2 www.nmr.mgh.harvard.edu/facility/filedrop/index.html Outgoing: ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve/ _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu 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.
