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Brain Organization into Resting State Networks Emerges at Criticality on a Model of the Human Connectome

Ariel Haimovici, Enzo Tagliazucchi, Pablo Balenzuela, and Dante R. Chialvo
Phys. Rev. Lett. 110, 178101 – Published 22 April 2013
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Abstract

The relation between large-scale brain structure and function is an outstanding open problem in neuroscience. We approach this problem by studying the dynamical regime under which realistic spatiotemporal patterns of brain activity emerge from the empirically derived network of human brain neuroanatomical connections. The results show that critical dynamics unfolding on the structural connectivity of the human brain allow the recovery of many key experimental findings obtained from functional magnetic resonance imaging, such as divergence of the correlation length, the anomalous scaling of correlation fluctuations, and the emergence of large-scale resting state networks.

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  • Received 24 September 2012

DOI:https://doi.org/10.1103/PhysRevLett.110.178101

© 2013 American Physical Society

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The Critical Brain

Published 22 April 2013

A model describing the brain as a system close to a phase transition can capture the global dynamics of brain activity observed in fMRI experiments.

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Authors & Affiliations

Ariel Haimovici1,2, Enzo Tagliazucchi3, Pablo Balenzuela1,2, and Dante R. Chialvo2,4,5

  • 1Departamento de Física, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires 1428, Argentina
  • 2Consejo Nacional de Investigaciones Científicas y Tecnológicas, Buenos Aires 1033, Argentina
  • 3Neurology Department and Brain Imaging Center, Goethe University, Frankfurt am Main 60528, Germany
  • 4Facultad de Ciencias Médicas, Universidad Nacional de Rosario, Rosario 2000, Argentina
  • 5David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California 90095, USA

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Issue

Vol. 110, Iss. 17 — 26 April 2013

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