Dear Rafael,

Not sure of this, but the results that you describe may be the result of a 
misalignment between your statistical map and your surface.

It somehow seems that SPM and CARET are not using the niftii positioning 
information exactly the same, but for me it works when I coregister&reslice a 
statistical map to the T1-image (as put in Talairach orientation before 
segmentation), and then map the resliced statistical image to the surface. Hope 
this helps.

Regards,
Mathijs

________________________________

Van: [email protected] namens Raphael Hilgenstock
Verzonden: do 19-8-2010 13:56
Aan: [email protected]
Onderwerp: [caret-users] SPM8 - Mapping Functionals to Volume problem



  Dear List,

I`ve got a problem mapping SPM8 t- and F-contrasts to Caret surfaces.
Unfortunately I even don`t know if it is possible to map SPM8 images to
Caret as haven`t found any informationen on the compatibility of both
programs (even on the list). Is there a difference between SPM5- and
SPM8-space that has to be accounted for when projecting activations?!
I`m asking because I ran across the following problem:

I processed data to map activations using the Tutorial_Sept_06 (provided
on the Sumsdb site) click by click with the
Human.PALS_B12.BOTH.TEMPLATE-for-fMRI-MAPPING.73730.spec-file (is this
approach still the standard of mapping functional files to volumes?).
When I mapped an F-contrast (spm_F.hdr and .nii) on an inflated brain
there where more spots (and some spots in strange locations) on my
MFM-image than on my SPM. When I mapped a t-contrast (spm_T.hdr and
.nii) all activations were gone! When lowering the threshold also this
(T-)map is showing activations that can be expected from my SPM but also
"new" acitavtions. The MFMs were thresholded with my SPM t/F-treshold
and the treshold type in Caret set to "column" (does this acutally mean
that just the information (t/F-values) form the the spm_T/F image is
read without any changes to the threshold by Caret? I infered that from
posts I read but I´m not yet definitively sure). As suggested in another
post I also used different algorithms (e.g. Metric-Gaussian). However
the result is still the same. I´m most concerned about strange
activation foci that I won`t find in my SPMs.

Is there anything I did wrong?! Any hint or help would be greatly
appreciated.

Thanks & best regards
Raphael


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