[caret-users] ROI definition by connection distance

[Alon Keren]

Hi.

I have been using CARET a lot lately, and found it very powerful and useful
for a variety of applications. There is a feature that I am interested in,
and I think is not available at the moment. I am interested in a
sophisticated measure of distance between nodes:
The "real" distance, or functional or connection distance between two nodes
is neither euclidean nor geodesic. Two nodes on opposite walls of a sulcus
are further away in the connectivity sense then two nodes on opposite walls
of a gyrus, with white matter bridging the gap. In the first case a geodesic
measure is suitable, whereas in the second an euclidean measure is more
adequate. I imagine it is much more complicated to implement, but a measure
of distance that goes around CSF but cuts through WM would be very useful
and more accurate for functional purposes. For instance I would like to
estimate the relationship between this functional distance and co-activation
of nodes.

A question on the same topic:
Is there an automatic way to produce a matrix of node to node geodesic
distances (of size #ofNodes^2)?

Thanks,
Alon.
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