Dear Freesurfers, I have a question about mri_glmfit for surface analyses. I have until now used covariates which provided one value for each subject (e.g., Age) but was wondering if it is possible to use covariates that have different values for each vertex.
I would like to perform a GLM analysis of thickness with another surface-based measure as covariate. For example, Salat et al. (2009) analysed the effect of age on GWR (ratio of gray matter - white matter) and regressed out thickness at each vertex along the cortical surface (i.e., an individual model for each vertex utilizing the thickness and contrast). My question is: is this possible in mri_glmfit as applied in Freesurfer and if so, how to do it? If not, are there other tools that might help me out? Reference: Salat, Lee, van der Kouwe et al. (2009). Age-associated alterations in cortical gray and white-matter signal intensity and gray to white matter contrast. NeuroImage, 48, 21-8. http://www.ncbi.nlm.nih.gov/pubmed/19580876 Thank you very much in advance for your time and help! Ruthger Righart _______________________________________________ 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.
