Figure 1. .

The relational content of the brain can be documented in several manners. (A) The basic components of a brain network, the nodes and edges, can be modeled across scales, spanning neurons to cortical regions. (B) Edges of connectivity report the ways in which nodes can be materially linked, across spatial scales; at the microscale, these edges can represent neuronal contact whereas at the macroscale, such edges can be estimated via computational processes like tractography. (C) Edges of similarity report the ways in which feature sets at nodes are alike; such feature sets can be gathered from both dynamic and static data. (D) Edges can be annotated with weights from other modalities or embeddings, adding an additional layer of information on the network.