Ising model on the different brain connectomes.

<p>a,b: 66-nodes connectome. c,d: 998-nodes connectome. a: The following quantities are depicted versus the inverse temperature : the susceptibility ; the heat capacity C; the total transfer entropy TE, i.e. the sum of all the information flows in all network pairs; R the ratio between the standard deviations of outgoing and incoming information flows). b: The distribution of the node-measure in comparison with different topological measures such as the nodes strength (the sum of the connections weights to each node in the connectivity matrix ), the efficiency and the nodes betweenness. The values of r have been normalized to the interval [0,1]. Nodes have been ordered according to increasing strength. Note that r is not fully explained by the strength as there are nodes with intermediate strength but with high r. Here the value of the temperature corresponds to the one that maximized R but similar patterns are obtained varying . c: same as in panel a but for the 998-nodes connectome. d: same as in panel c but for the 998-nodes connectome.