[pymvpa] Group analyses of 2-class classification based on individual V1

[David Soto]

Hi,

I've conducted a 2-class searchlight (radius 3) based classification in
which the BOLD data was based on individual V1 anatomy. The individual
analyses seemed to run fine. What I am struggling now is to find the best
way in which to do the second-level group analyses based on the individual
search accuracies. What i did was to normalize the individual accuracy maps
onto MNI space and then carry a one-sample t test against 0.5. My concern
is that because each individual V1 is different to the other individuals
(no one to one mapping), the inputs fed onto the group analyses will
contain voxels with empty values for some subjects but not for others and
this may perhaps reduce the sensitivity of my analyses. Any advise/commment
would be useful? is it just fine to do it like that?

best,

david
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