Ising-like dynamics in large-scale functional brain networks

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 m...

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Detalles Bibliográficos
Autor principal: Fraiman, D.
Otros Autores: Balenzuela, Pablo, Foss, J., Chialvo, D.R
Formato: Capítulo de libro
Lenguaje:Inglés
Publicado: 2009
Acceso en línea:Registro en Scopus
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Registro en la Biblioteca Digital
Aporte de:Registro referencial: Solicitar el recurso aquí
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100 1 |a Fraiman, D. 
245 1 0 |a Ising-like dynamics in large-scale functional brain networks 
260 |c 2009 
270 1 0 |m Fraiman, D.; Departamento de Matemática y Ciencias, Universidad de San Andrés and CONICET, Buenos Aires 1644, Argentina 
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504 |a http://www.fmrib.ox.ac.uk/fsl 
506 |2 openaire  |e Política editorial 
520 3 |a 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. © 2009 The American Physical Society.  |l eng 
593 |a Departamento de Matemática y Ciencias, Universidad de San Andrés and CONICET, Buenos Aires 1644, Argentina 
593 |a Departmento de Física, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires and CONICET, Buenos Aires 1428, Argentina 
593 |a Department of Physiology, Northwestern University, Chicago, IL 60611, United States 
690 1 0 |a BRAIN NETWORKS 
690 1 0 |a CORRELATION NETWORK 
690 1 0 |a CRITICAL POINTS 
690 1 0 |a CRITICAL TEMPERATURES 
690 1 0 |a DYNAMICAL STATE 
690 1 0 |a FUNCTIONAL MAGNETIC RESONANCE IMAGING 
690 1 0 |a HUMAN BRAIN 
690 1 0 |a NUMERICAL SIMULATION 
690 1 0 |a STATISTICAL PROPERTIES 
690 1 0 |a TWO-DIMENSION 
690 1 0 |a WORK FOCUS 
690 1 0 |a EQUATIONS OF STATE 
690 1 0 |a MAGNETIC RESONANCE IMAGING 
690 1 0 |a TECHNETIUM 
690 1 0 |a ISING MODEL 
700 1 |a Balenzuela, Pablo 
700 1 |a Foss, J. 
700 1 |a Chialvo, D.R. 
773 0 |d 2009  |g v. 79  |k n. 6  |p Phys. Rev. E Stat. Nonlinear Soft Matter Phys.  |x 15393755  |t Physical Review E - Statistical, Nonlinear, and Soft Matter Physics 
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