title: Ising-like dynamics in large-scale functional brain networks.
abstract: Brain "rest" is defined--more or less unsuccessfully--as the state in which there is no explicit brain input or output. This work focuses on the question of whether such state can be comparable to any known dynamical state. For that purpose, correlation networks from human brain functional magnetic resonance imaging are contrasted with correlation networks extracted from numerical simulations of the Ising model in two dimensions at different temperatures. For the critical temperature Tc, striking similarities appear in the most relevant statistical properties, making the two networks indistinguishable from each other. These results are interpreted here as lending support to the conjecture that the dynamics of the functioning brain is near a critical point.
authors: Departamento de Matemática y Ciencias, Universidad de San Andrés and CONICET, Buenos Aires 1644, Argentina.
authors: Daniel
authors: D
authors: Fraiman
authors: Pablo
authors: P
authors: Balenzuela
authors: Jennifer
authors: J
authors: Foss
authors: Dante R
authors: DR
authors: Chialvo
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000818:Animals; D001683:Biological Clocks / Q000502:physiology*; D002540:Cerebral Cortex / Q000502:physiology*; D003198:Computer Simulation; D006801:Humans; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D009474:Neurons / Q000502:physiology*