Description Usage Arguments Value Author(s) References

`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.

1 2 3 |

`g` |
An |

`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

Christopher G. Watson, [email protected]

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.

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.