Dear SPM list,
I'm interested in how to do correlational analysis /
functional connectivity in fMRI. In neurophysiology,
the method of shuffle-corrected cross-correlation seems
to be a very widely accepted standard, with some refinements
suggested by Brody etc.
But it's not clear to me what the fMRI analogue of this is.
There are various correlation approaches floating around,
e.g. using a given voxel's time-course as a regressor.
This seems to bear some family resemblance to the
neurophys shuffle-correction method, but I'm wondering
whether there might be a different approach that's more
closely equivalent.
There's also the structural equation modeling approach,
but that's further removed yet from kind of correlational
analysis that the neurophysiologists do.
Is there an fMRI equivalent of shuffle-corrected cross-correlation?
Or does the difference in time-scales make a analogue to
the neurophysiology approach impossible?
I'd be very interested to hear opinions on this issue.
Many thanks,
Raj
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Rajeev Raizada
Postdoctoral Research Fellow
MGH-NMR Center / Harvard Medical School
Building 149, 13th Street,
Charlestown, MA 02129
E.mail: [log in to unmask]
Tel: 617 726 8790
Fax: 617 726 7422
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