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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Autores principales: Fraiman, D., Balenzuela, P., Foss, J., Chialvo, D.R.
Formato: JOUR
Materias:
Brain networks
Correlation network
Critical points
Critical temperatures
Dynamical state
Functional magnetic resonance imaging
Human brain
Numerical simulation
Statistical properties
Two-dimension
Work Focus
Equations of state
Magnetic resonance imaging
Technetium
Ising model
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_15393755_v79_n6_p_Fraiman
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id todo:paper_15393755_v79_n6_p_Fraiman
record_format dspace
spelling todo:paper_15393755_v79_n6_p_Fraiman2023-10-03T16:22:26Z Ising-like dynamics in large-scale functional brain networks Fraiman, D. Balenzuela, P. Foss, J. Chialvo, D.R. Brain networks Correlation network Critical points Critical temperatures Dynamical state Functional magnetic resonance imaging Human brain Numerical simulation Statistical properties Two-dimension Work Focus Equations of state Magnetic resonance imaging Technetium Ising model 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. Fil:Balenzuela, P. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_15393755_v79_n6_p_Fraiman
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Brain networks
Correlation network
Critical points
Critical temperatures
Dynamical state
Functional magnetic resonance imaging
Human brain
Numerical simulation
Statistical properties
Two-dimension
Work Focus
Equations of state
Magnetic resonance imaging
Technetium
Ising model
spellingShingle Brain networks
Correlation network
Critical points
Critical temperatures
Dynamical state
Functional magnetic resonance imaging
Human brain
Numerical simulation
Statistical properties
Two-dimension
Work Focus
Equations of state
Magnetic resonance imaging
Technetium
Ising model
Fraiman, D.
Balenzuela, P.
Foss, J.
Chialvo, D.R.
Ising-like dynamics in large-scale functional brain networks
topic_facet Brain networks
Correlation network
Critical points
Critical temperatures
Dynamical state
Functional magnetic resonance imaging
Human brain
Numerical simulation
Statistical properties
Two-dimension
Work Focus
Equations of state
Magnetic resonance imaging
Technetium
Ising model
description 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.
format JOUR
author Fraiman, D.
Balenzuela, P.
Foss, J.
Chialvo, D.R.
author_facet Fraiman, D.
Balenzuela, P.
Foss, J.
Chialvo, D.R.
author_sort Fraiman, D.
title Ising-like dynamics in large-scale functional brain networks
title_short Ising-like dynamics in large-scale functional brain networks
title_full Ising-like dynamics in large-scale functional brain networks
title_fullStr Ising-like dynamics in large-scale functional brain networks
title_full_unstemmed Ising-like dynamics in large-scale functional brain networks
title_sort ising-like dynamics in large-scale functional brain networks
url http://hdl.handle.net/20.500.12110/paper_15393755_v79_n6_p_Fraiman
work_keys_str_mv AT fraimand isinglikedynamicsinlargescalefunctionalbrainnetworks
AT balenzuelap isinglikedynamicsinlargescalefunctionalbrainnetworks
AT fossj isinglikedynamicsinlargescalefunctionalbrainnetworks
AT chialvodr isinglikedynamicsinlargescalefunctionalbrainnetworks
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