No, there is not (at least that I know of). Bruce might have something 
along these lines.

On 4/26/2022 3:32 PM, Burke Rosen wrote:
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>
> Is there a way to resample a vertex-by-vertex matrix of data from one subject 
> to another or to ico? For example, I have calculated the Euclidean distance 
> matrix for all the vertices of lh.white for my subjects and wish to find the 
> average distance matrix. Another example might be functional connectivity 
> values.
>
> If the data were univariate (i.e. vectors not matrices), I could save my 
> measure as a .w file for each subject and use mri_surf2surf to morph each 
> vector to ico and then average across the resulting ico vectors. One idea is 
> to use make_average_subject to morph each subject’s surface to ico and then 
> calculate bivariate measures on these surfaces. This might be ok for the 
> functional connectivity case. However, this morphing distorts the absolute 
> size of the surface, so the Euclidean distance matrix would be untenably 
> distorted.
>
> In other words, is there an extension of mri_surf2surf (or maybe 
> mris_convert) that operates on v(i,j) measures rather than v(i) measures?
>
> Thank you,
>
> -Burke
>
>
>
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