Resolving Anatomical and Functional Structure in Human Brain Organization: Identifying Mesoscale Organization in Weighted Network Representations

doi:10.1371/journal.pcbi.1003712

Resolving Anatomical and Functional Structure in Human Brain Organization: Identifying Mesoscale Organization in Weighted Network Representations

Figure 2

Use of rewiring strategies to probe geometric drivers of weighted modularity.

Changes in the maximum modularity as a given percentage of the connections are randomly rewired for synthetic (fractal hierarchical, FR, in blue; Erdös-Rényi, ER, in black; ring lattice, RL, in cyan) and empirical (Brain DSI in mustard) networks. Dashed lines show the change of modularity when the weakest connections are randomly rewired; solid lines illustrate the corresponding results when the strongest connections are rewired. For the brain data and the synthetic networks, the value of the weighted modularity is most sensitive to the strongest connections in both the synthetic and empirical networks.

doi: https://doi.org/10.1371/journal.pcbi.1003712.g002