edge_spatial_dist calculates the Euclidean distance of an
igraph graph object's edges. The distances are in mm and based
on MNI space. These distances are NOT along the cortical surface, so
can only be considered approximations, particularly concerning
inter-hemispheric connections. The input graph must have atlas as a
graph-level attribute.
vertex_spatial_dist calculates, for each vertex of a graph, the
average Euclidean distance across all of that vertex's connections.
edge_spatial_dist(g)vertex_spatial_dist(g)
An igraph graph object
edge_spatial_dist - a numeric vector with length equal to the
edge count of the input graph, consisting of the Euclidean distance (in
mm) of each edge
vertex_spatial_dist - a named numeric vector with length equal
to the number of vertices, consisting of the average distance (in
mm) for each vertex
Alexander-Bloch A.F., Vertes P.E., Stidd R. et al. (2013) The anatomical distance of functional connections predicts brain network topology in health and schizophrenia. Cerebral Cortex, 23:127-138.