Hello,
I have a problem with suma.
Maybe coming from an error on my part.
(I tried to find information on the forum but without success)
I made a group analysis with suma.
For each subjects I used:
@SUMA_AlignToExperiment
and
3dVol2Surf with standard surfaces (std.141.${subj}_${hemi}.spec)
and then I made a ttest with respect to zero with 3dttest++ using all my *.niml.dset files
Here I was not sure what to do:
The question was onto which surface I can now look at the result?
As each subject surface brain are standardized,
I tried to copy the result file in the directory of a subject and look at it on the surface of the subject,
thinking that, this way, all the required files for the surface will be available.
(I also tried to let the ttest result file in its own directory and to load it from suma opened with a given subject)
Each time I'm trying that, SUMA begin to behave strangely:
The thresholding begins to work only for one hemisphere
and more imortantly there is a problem in the registering between the surface and the statistics results.
But the worse is that the problem remains even when I'm trying to be back to single subject statistics
(the visualization for these results by subjects was correct before) :
the statistics of individual subjects are not anymore correctly aligned with their surface!
I even tried to reboot the computer but it remained the same.
1) Is there a config file somewhere for SUMA that could have been changed by my manipulation...
2) Am I making something wrong?
3) And what I should do to be back to a normal functionning of suma?
4) (maybe also is there a way to be sure that I have a correct alignement between my stat and the surf?)
A final question (maybe related to the above problem),
5) How should I do to have an average surface from all the standard surfaces of my subjects
(like in the Fig 2 of your paper, Brenna D. Argall et al. 2006 in Hum Brain Mapp).I saw in the suma.pdf that we can
use 1deval to make some means, but then which files we have to average?
Sorry for being so long.
Thanks a lot for your attention.
Alain