Figure 1
From: Quantifying person-level brain network functioning to facilitate clinical translation
Illustration of candidate summary metrics. (a) Average connectivity is the average magnitude of all pairwise functional connectivity values (note that a subset of connections is shown in the figure for clarity). (b) Topological properties are derived from a representation of the network with a proportion of the weakest connections set to zero (represented by lines present in a and absent in b). The clustering coefficient of node 1 is the weighted proportion of connections among that node’s neighbors. Neighbors of node 1 are illustrated in the figure by red dashed lines, connections among those neighbors by red solid lines. The global clustering coefficient is the aggregate of the clustering coefficient for all nodes in the network and indicates the network’s short-range efficiency. The path length between nodes 2 and 3 is the weighted shortest distance between those nodes, illustrated in the figure by orange solid lines. The characteristic path length is the average shortest distance across all pairs of nodes in the network and indicates the network’s long-range efficiency.
