Hi,
I am trying to use functional results from two populations of subjects and use
it in connectivity based classification. I would like to confront my thinking
with other, more experienced, opinions.
My cortical seed region comes from a functional group analysis and I
transformed it back to each individual space. By that, the seed region size is
(slightly) different for each individual. The target regions are defined in each
individual space and thus, also, have different sizes. In each individual I ran
the classification of the seed with respect to the targets and I used a
distance correction.
I would like to find out whether there is any quantitative difference between
connectivity tween seed and targets between the two groups of subjects. My
study kind of reminds the one published by Paula L. Croxson, Heidi Johansen-
Berg, Tim Behrens et al, in Journal of Neuroscience (2005), but I do not see
that they would take into account the seed and target sizes into account. I am
also not sure how to take into account the distance correction, and how it may
affect the inter-subject and group connectivities. Finally, what would be the
appropriate way to statistically compare the classification results between the
two groups?
Thanks in advance for any idea,
Martin
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