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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. © 2013 American Physical Society.

Registro:

Documento: Artículo
Título:Brain organization into resting state networks emerges at criticality on a model of the human connectome
Autor:Haimovici, A.; Tagliazucchi, E.; Balenzuela, P.; Chialvo, D.R.
Filiación:Departamento de Física, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires 1428, Argentina
Consejo Nacional de Investigaciones Científicas y Tecnológicas, Buenos Aires 1033, Argentina
Neurology Department and Brain Imaging Center, Goethe University, Frankfurt am Main 60528, Germany
Facultad de Ciencias Médicas, Universidad Nacional de Rosario, Rosario 2000, Argentina
David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, United States
Palabras clave:Anomalous scaling; Correlation lengths; Critical dynamics; Dynamical regime; Functional magnetic resonance imaging; Human Connectome; Spatiotemporal patterns; Structural connectivity; Magnetic resonance imaging; Brain; article; biological model; brain; connectome; histology; human; methodology; nerve cell network; nerve tract; physiology; rest; Brain; Connectome; Humans; Models, Neurological; Nerve Net; Neural Pathways; Rest
Año:2013
Volumen:110
Número:17
DOI: http://dx.doi.org/10.1103/PhysRevLett.110.178101
Título revista:Physical Review Letters
Título revista abreviado:Phys Rev Lett
ISSN:00319007
CODEN:PRLTA
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00319007_v110_n17_p_Haimovici

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Citas:

---------- APA ----------
Haimovici, A., Tagliazucchi, E., Balenzuela, P. & Chialvo, D.R. (2013) . Brain organization into resting state networks emerges at criticality on a model of the human connectome. Physical Review Letters, 110(17).
http://dx.doi.org/10.1103/PhysRevLett.110.178101
---------- CHICAGO ----------
Haimovici, A., Tagliazucchi, E., Balenzuela, P., Chialvo, D.R. "Brain organization into resting state networks emerges at criticality on a model of the human connectome" . Physical Review Letters 110, no. 17 (2013).
http://dx.doi.org/10.1103/PhysRevLett.110.178101
---------- MLA ----------
Haimovici, A., Tagliazucchi, E., Balenzuela, P., Chialvo, D.R. "Brain organization into resting state networks emerges at criticality on a model of the human connectome" . Physical Review Letters, vol. 110, no. 17, 2013.
http://dx.doi.org/10.1103/PhysRevLett.110.178101
---------- VANCOUVER ----------
Haimovici, A., Tagliazucchi, E., Balenzuela, P., Chialvo, D.R. Brain organization into resting state networks emerges at criticality on a model of the human connectome. Phys Rev Lett. 2013;110(17).
http://dx.doi.org/10.1103/PhysRevLett.110.178101