Figure 4.

Behavior of CF and L on synthetic networks. In networks with brain-like topologies, the L values (that is inversely proportional to the information integration) (A) falls down, as effect of the random node removal, only in small-world network and not in the core-periphery Barabasi networks. (B) While by using the CF index, brain-like topologies abundantly lose values as effect of random node removals. Furthermore, this result also shows how brain-like networks became more and more inefficient to integrate information as the connections among nodes are lost as in diverse neurodegenerative diseases.