Figure 1

Network Types and Structural Properties: Structural connectivity, graph and degree distribution are shown for highly segregated to highly integrated networks. Watts-Strogatz networks (A–C) transition from highly ordered (segregated) to more randomized (integrated) structures by increasing the rewiring probability p. Modular networks (D–F), show increasing inter-module connections, enhancing integration. Hierarchical networks (G–I) are constructed by iteratively adding inter-module connections in an ordered fashion to create a hierarchical structure. Power-Law networks (J–L), generated with a modified Barabasi-Alberts algorithm, display variations in clustering by forming triangles. Finally, Human connectome networks (M–O) are modified to increase either segregation or integration using a custom algorithm. Axis labels for each plot are shown in panel O.