Brain organization into resting state networks emerges at criticality on a model of the human connectome
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 neuroanat...
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| Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_00319007_v110_n17_p_Haimovici |
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todo:paper_00319007_v110_n17_p_Haimovici2023-10-03T14:42:24Z Brain organization into resting state networks emerges at criticality on a model of the human connectome Haimovici, A. Tagliazucchi, E. Balenzuela, P. Chialvo, D.R. 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 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. 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_00319007_v110_n17_p_Haimovici |
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Universidad de Buenos Aires |
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I-28 |
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R-134 |
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Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
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 |
| spellingShingle |
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 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 |
| topic_facet |
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 |
| description |
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. |
| format |
JOUR |
| author |
Haimovici, A. Tagliazucchi, E. Balenzuela, P. Chialvo, D.R. |
| author_facet |
Haimovici, A. Tagliazucchi, E. Balenzuela, P. Chialvo, D.R. |
| author_sort |
Haimovici, A. |
| title |
Brain organization into resting state networks emerges at criticality on a model of the human connectome |
| title_short |
Brain organization into resting state networks emerges at criticality on a model of the human connectome |
| title_full |
Brain organization into resting state networks emerges at criticality on a model of the human connectome |
| title_fullStr |
Brain organization into resting state networks emerges at criticality on a model of the human connectome |
| title_full_unstemmed |
Brain organization into resting state networks emerges at criticality on a model of the human connectome |
| title_sort |
brain organization into resting state networks emerges at criticality on a model of the human connectome |
| url |
http://hdl.handle.net/20.500.12110/paper_00319007_v110_n17_p_Haimovici |
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