Figure 6. Graph visualization of the functional connectivity reconfiguration across states.

Each panel corresponds to one functional condition. For each functional condition, three diagrams are displayed. The right diagram is the force-directed graph visualization of the functional connectivity matrix, thresholded to retain the top 10% of the edges, and averaged over all subjects. Nodes are colored according to their population-level network assignments (see the bottom legend bar), and are sized proportional to their degree values (that is, the sum of edge weights connected to the node). Edges are colored according to the entropy class of their two end points (see the right legend bar), for example the connections between two steady nodes are colored red, connections between a steady node and a flexible node are colored light gray, and so on. The graphs are structured such that nodes with stronger connections are spatially closer to each other. As expected, nodes within the same network are clustered spatially close to each other. Further, nodes from different but related networks are also spatially integrated (for example, the core and dorsal-medial portions of DMN, or primary and secondary visual networks are integrated). However, there is a difference in the integration and segregation level of different functional networks across different task states. The bottom left diagram within each panel represents the frequency of the nodes assigned to each functional network. The top left diagram within each panel represents the strength of different types of connections. Error bars represent the standard deviation across connections. The connections within steady nodes are significantly stronger than the rest of the connections. These steady nodes form a strong core organization in the brain with large interconnections, similar to the “rich club” pattern (see Figure S8).