Thank you for your comments. Some more questions below:

On Mon, Aug 22, 2016 at 1:09 PM, Douglas N Greve <gr...@nmr.mgh.harvard.edu>
wrote:
>
> > 1. In NeuroVault users are asked to upload their statistical maps in
> > form of files. I'm planning to target outputs of mri_glmfit:
> > preferably Z.mgh but also sig.mgh. Is this the most sensible thing to do?
> Yes. You may also want the gamma.mgh file as that is the size of the
> effect (eg, thickness change in mm )
>
This would be very useful - an effect size in meaningful units is a rarity
in neuroimaging!


> > 7. Finally NeuroVault gives users ability to compare maps and even
> > search through the whole repository to find statistical maps with
> > similar patterns. This is currently implemented for volumetric data,
> > but could be extended to surface data. The problem arises when one
> > wants to compare MNI volumetric data with fsaverage surface data. So
> > far I have been using mri_vol2surf with target subject being fsaverage
> > (with a supplied affine correction matrix), but this solution is far
> > from optimal since fsaverage folding patterns are quite different from
> > MNI. I was thinking that maybe a more accurate way of dealing with
> > this would be to reconstruct MNI152 cortical surface model, do surface
> > registration of it to fsaverage, and use that to sample statistical
> > maps in MNI space. What do you think?
> I would probably go the other direction, ie, sample the MNI152 maps into
> surface space.
>
This is exactly what I want to do. The question is what is the most
accurate way of sampling MNI152 maps to fsaverage?

Best,
Chris



> >
> > Thank you for any help feedback you can provide!
> >
> > Best,
> > Chris Gorgolewski
> >
> >
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> --
> Douglas N. Greve, Ph.D.
> MGH-NMR Center
> gr...@nmr.mgh.harvard.edu
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