Yes, you can use the --pvr flag (per-vertex regressor). You'll need to 
create a pvr file that is the exact same size as the file passed with 
--y. You will also need to account for the extra regressors in your 
contrast matrix.
doug


On 12/22/2014 10:12 AM, Righart, Ruthger wrote:
> 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
>
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>
>

-- 
Douglas N. Greve, Ph.D.
MGH-NMR Center
gr...@nmr.mgh.harvard.edu
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