POSTER PRESENTATION Open Access Information transfer of an Ising model on a brain network

We consider an anatomical connectivity matrix (66 nodes), obtained via diffusion spectrum imaging (DSI) and white matter tractography [1], describing the brain at a coarse scale, and implement on it an Ising model with Glauber dynamics, estimating the transfer of infor-mation between spins. Tuning the temperature to criticality, so as to render the system characterized by long range correlations, we find that the critical state is characterized by the maximal amount of total informa-tion transfer among variables and exhibits signature of the law of diminishing marginal returns, a fundamental principle of economics which states that when th