[pymvpa] Using SurfaceQueryEngine for spatial smoothing

[Chris Johnson]

Hi all,

Bjornsdotter et al. (2011)
(http://dx.doi.org/10.1016/j.neuroimage.2010.07.044) used a Monte Carlo
searchlight method where a non-exhaustive searchlight is performed, and
each voxel is assigned the average of the the information metric for
those searchlights in which it is involved. Taken to its limit, this is
just a spatial smoothing of a traditional searchlight analysis.

The method for operating in the individual subject space is
straightforward (construct a searchlight QueryEngine, take an average in
each neighborhood), but I want to perform this in the FreeSurfer average
subject (fsaverage) space. I thought I'd try this with the new
SurfaceQueryEngine, but I'm not entirely sure how to train it.

It looks like it wants a .nii loaded with voxels holding vertex indices,
but I don't have one for fsaverage.

Hopefully this is really easy and I'm just missing something, but the
tutorials don't seem to be keeping pace with all the new features. :-)

Thanks!

-- 
Christopher Johnson
Ph.D. Candidate, Quantitative Neuroscience Laboratory
Boston University

-------------- next part --------------
A non-text attachment was scrubbed...
Name: signature.asc
Type: application/pgp-signature
Size: 603 bytes
Desc: OpenPGP digital signature
URL: <http://lists.alioth.debian.org/pipermail/pkg-exppsy-pymvpa/attachments/20140425/cc4c47b9/attachment.sig>