Ignited cortical areas perfectly match the weighted core of the Human at the ignition point.

(A) A scheme of the local, mesoscale and global level of organization of the network. At left, the local level is represented by the sum of inputs and outputs of a cortical area. At the middle, the mesoscale level is measured with the core decomposition, composed by shells of incremental within-connected (or strongest) nodes. In the cartoon, blue nodes belong to the 3-core, orange to the 2-core shell and green to the 1-core shell. The number within each node denotes its degree. At the right, the global level considers the small-worldness, the integration and segregation ratio of the whole-network. (B) The s-core decomposition of

Human

(red),

Human_rw

(blue),

DPR_rw

(orange) and

SW_rw

(green). The y-axis shows the number of nodes in the shell, whereas the x-axis shows the s_max of each shell. Only one example for each type of wSCs is shown in the main plot. The inset shows the s_max for all the networks used. (C) Number of ignited (R_i > 5) nodes in the network as a function of coupling gain G and for high ICs, showing the Human and one example of each wSC. (D) Fraction of nodes which are ignited (red, orange) or not-ignited (green, blue) at the G_- bifurcation, and that belong to s_max-core (red, green) or not (orange, blue).