Figure 1

Global graph metrics of the resting-state functional connectome. Five global graph metrics of normalized clustering coefficient (gamma), normalized characteristic path length (lambda), small-worldness (Sigma), normalized global efficiency (GE), and modularity (Q) were calculated. Ranges of network sparsity satisfying the (1) network connectedness (presence of ≥ 1 connections with other brain regions in > 98% of nodes), (2) small-worldness (sigma > 1), and (3) modular organization (Q > 0.3) in all HC (N = 23) were found for the rs-FCN (K = 0.11–0.15). Mean and standard deviation values of each global graph metrics (y-axis) were depicted per group [blue for healthy controls (HC), yellow for major depressive disorder (MDD), and red for sub-threshold depression (StD)] and per network sparsity level (x-axis). The area under the curve (AUC) of each global graph metrics were calculated and compared among the HC, MDD, and StD (statistical threshold of significance P < 0.05).