Hi,
has anyone created functionality to compare the spatial correlation/similarity
of two patterns in the form of cortical surface overlays. What I am looking at is a have
scalar at every point on the cortical surface. obviously this is just a list of vertices with
a scalar value associated with each. obviously I can map these both onto an average cortical surface and then simply compute the correlation of both of these.
but of course pattern similarity is an inherently spatial problem and for cortical
surfaces a 2 dimensional spatial correlation or other similarity metric would be
what you want. Here the order of vertices in a vertex list maps somewhat like a
string around the cortex and so the next wrap around you have vertices which are
adjacent on the surface but distant by the metric of vertex count.
is there any implementation of a similarity metric which takes this coordinate problem into account. In my measure every vertex across both hemi has a value and so i am not interested in something for a small localized patch.
any thoughts appreciated
Greg