Thanks a lot Douglas, I will look into that.

Thanks a lot for the help.

On Fri, Feb 9, 2018 at 10:56 AM, Douglas Greve <gr...@nmr.mgh.harvard.edu>
wrote:

> So you want to have a vertex-specific model that relates CV to X1, Age,
> and thickness at the vertex? If so, then you will need to use a per-voxel
> regressor (--pvr option to mri_glmfit). Search through the archives to find
> examples where I've helped others
>
>
>
> On 2/6/18 12:36 PM, Martin Juneja wrote:
>
> Hi,
>
> I am interested in correlating cortical volume measures with behavioral
> data X1, after regressing out the effect of age and sex. For that I ran
> following commands:
>
> mri_glmfit --y lh.X1.CV.15.mgh --fsgd X1.fsgd dods --C Corr-X1-cor.mtx
> --surf fsaverage lh --cortex --glmdir lh.X1_CV.glmdir
>
> mri_glmfit-sim --glmdir lh.X1_CV.glmdir --cache 2 abs --cwp 0.05 --2spaces
>
> where X1.fsgd is following:
>
> GroupDescriptorFile 1
> Class Male
> Class Female
> Variables X1 Age
> Input S001 Male 127 36
> .... so on
>
> and Corr-X1-cor.mtx is 0 0 0 0 1
>
> I was wondering how can I use  multiple regression approach e.g. how can I
> correlate CV and X1 after accounting for thickness and area or how can I
> correlate gyrification and X1 after accounting for CV and thickness etc.
>
> I am not sure what will be my commands for that and what will be fsgd and
> mtx files?
>
> Thanks for your help.
>
>
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