Figure 1.
Schematic diagram of a brain network introducing basic terminology. (a) Networks consist of nodes and edges. The node degree corresponds to the number of edges that are attached to each node. (b) Networks can be decomposed into communities or modules. Connections (edges) are either linking nodes within modules or between modules. Highly connected nodes are hubs, and they either connect primarily with other nodes in the same community (provincial hub) or with nodes that belong to different communities (connector hub).