> 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 )

> 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.

>
> Thank you for any help feedback you can provide!
>
> Best,
> Chris Gorgolewski
>
>
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--
Douglas N. Greve, Ph.D.
MGH-NMR Center
greve@nmr.mgh.harvard.edu
Phone Number: 617-724-2358
Fax: 617-726-7422

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