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Unifying turbulent dynamics framework distinguishes different brain states

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dc.contributor.author Escrichs, Anira
dc.contributor.author Sanz Perl, Yonatan
dc.contributor.author Uribe, Carme
dc.contributor.author Camara, Estela
dc.contributor.author Türker, Basak
dc.contributor.author Pyatigorskaya, Nadya
dc.contributor.author López-González, Ane
dc.contributor.author Pallavicini, Carla
dc.contributor.author Panda, Rajanikant
dc.contributor.author Annen, Jitka
dc.contributor.author Gosseries, Olivia
dc.contributor.author Laureys, Steven
dc.contributor.author Naccache, Lionel
dc.contributor.author Sitt, Jacobo D.
dc.contributor.author Laufs, Helmut
dc.contributor.author Tagliazucchi, Enzo
dc.contributor.author Kringelbach, Morten
dc.contributor.author Deco, Gustavo
dc.date.accessioned 2022-07-04T16:15:19Z
dc.date.available 2022-07-04T16:15:19Z
dc.date.issued 2022-05-29
dc.identifier.citation Escrichs A, Perl YS, Uribe C, Camara E, Türker B, Pyatigorskaya N, López-González A, Pallavicini C, Panda R, Annen J, Gosseries O, Laureys S, Naccache L, Sitt JD, Laufs H, Tagliazucchi E, Kringelbach M, Deco G. Unifying turbulent dynamics framework distinguishes different brain states. Commun Biol. 2022 Jun 29;5(1):638. doi: 10.1038/s42003-022-03576-6. es_ES
dc.identifier.uri https://repositorio.fleni.org.ar/xmlui/handle/123456789/616
dc.identifier.uri https://doi.org/10.1038/s42003-022-03576-6
dc.description.abstract Significant advances have been made by identifying the levels of synchrony of the underlying dynamics of a given brain state. This research has demonstrated that non-conscious dynamics tend to be more synchronous than in conscious states, which are more asynchronous. Here we go beyond this dichotomy to demonstrate that different brain states are underpinned by dissociable spatiotemporal dynamics. We investigated human neuroimaging data from different brain states (resting state, meditation, deep sleep and disorders of consciousness after coma). The model-free approach was based on Kuramoto's turbulence framework using coupled oscillators. This was extended by a measure of the information cascade across spatial scales. Complementarily, the model-based approach used exhaustive in silico perturbations of whole-brain models fitted to these measures. This allowed studying of the information encoding capabilities in given brain states. Overall, this framework demonstrates that elements from turbulence theory provide excellent tools for describing and differentiating between brain states. es_ES
dc.publisher Nature Publishing Group UK es_ES
dc.rights info:eu-repo/semantics/openAccess
dc.rights.uri https://creativecommons.org/licenses/by/2.5/ar/
dc.subject Consciousness Disorders es_ES
dc.subject Trastornos de la Conciencia es_ES
dc.subject Brain es_ES
dc.subject Meditation es_ES
dc.subject Meditación es_ES
dc.subject Sueño es_ES
dc.subject Sleep es_ES
dc.subject Consciousness es_ES
dc.subject Estado de Conciencia es_ES
dc.subject Diagnostic Imaging es_ES
dc.subject Diagnóstico por Imagen es_ES
dc.title Unifying turbulent dynamics framework distinguishes different brain states es_ES
dc.type info:eu-repo/semantics/article es_ES
dc.type info:eu-repo/semantics/publishedVersion
dc.description.fil Fil: Pallavicini, Carla. Fleni; Argentina.
dc.description.fil Fil: Escrichs, Anira. Universitat Pompeu Fabra. Department of Information and Communication Technologies. Center for Brain and Cognition. Computational Neuroscience Group; España.
dc.description.fil Fil: Sanz Perl, Yonatan. Universitat Pompeu Fabra. Department of Information and Communication Technologies. Center for Brain and Cognition. Computational Neuroscience Group; España. Universidad de San Andrés; Argentina. Institut du Cerveau et de la Moelle épinière; Francia.
dc.description.fil Fil: Uribe, Carme. University of Barcelona. Institute of Neuroscience. Department of Medicine. Medical Psychology Unit; España. Institute of Biomedical Research August Pi i Sunyer (IDIBAPS); España.
dc.description.fil Fil: Camara, Estela. L'Hospitalet de Llobregat. Bellvitge Biomedical Research Institute (IDIBELL). Cognition and Brain Plasticity Unit; España. University of Barcelona. Department of Cognition, Development and Educational Psychology: España.
dc.description.fil Fil: Türker, Basak. Institut du Cerveau et de la Moelle épinière; Francia. Inserm U 1127; Francia. CNRS UMR 7225; Francia.
dc.description.fil Fil: Pyatigorskaya, Nadya. Institut du Cerveau et de la Moelle épinière; Francia. Inserm U 1127; Francia. CNRS UMR 7225; Francia. Sorbonne Université. Hôpital Pitié-Salpêtrière. Department of Neuroradiology, AP-HP; Francia.
dc.description.fil Fil: López-González, Ane. Universitat Pompeu Fabra. Department of Information and Communication Technologies. Center for Brain and Cognition. Computational Neuroscience Group; España.
dc.description.fil Fil: Panda, Rajanikant. University of Liège. Coma Science Group, GIGA Consciousness; Bélgica. University Hospital of Liège. Centre du Cerveau; Bélgica.
dc.description.fil Fil: Annen, Jitka. University of Liège. Coma Science Group, GIGA Consciousness; Bélgica. University Hospital of Liège. Centre du Cerveau; Bélgica.
dc.description.fil Fil: Gosseries, Olivia. University of Liège. Coma Science Group, GIGA Consciousness; Bélgica. University Hospital of Liège. Centre du Cerveau; Bélgica.
dc.description.fil Fil: Laureys, Steven. University of Liège. Coma Science Group, GIGA Consciousness; Bélgica. University Hospital of Liège. Centre du Cerveau; Bélgica. CERVO Brain Research Centre. Joint International Research Unit on Consciousness; Canadá. Hangzhou Normal University. International Consciousness Science Institute; China.
dc.description.fil Fil: Naccache, Lionel. Institut du Cerveau et de la Moelle épinière; Francia. Inserm U 1127; Francia. CNRS UMR 7225; Francia.
dc.description.fil Fil: Sitt, Jacobo D. Institut du Cerveau et de la Moelle épinière; Francia. Inserm U 1127; Francia. CNRS UMR 7225; Francia.
dc.description.fil Fil: Laufs, Helmut. Christian Albrechts University. Department of Neurology; Alemania. Goethe University, Frankfurt am Main. Department of Neurology and Brain Imaging Center; Alemania.
dc.description.fil Fil: Tagliazucchi, Enzo. Universidad de Buenos Aires. Departamento de Física; Argentina. Universidad Adolfo Ibañez. Latin American Brain Health Institute (BrainLat); Chile.
dc.description.fil Fil: Kringelbach, Morten University of Oxford. Department of Psychiatry; Reino Unido. Aarhus University. Department of Clinical Medicine. Center for Music in the Brain; Dinamarca. University of Oxford. Centre for Eudaimonia and Human Flourishing; Dinamarca.
dc.description.fil Fil: Deco, Gustavo. Universitat Pompeu Fabra. Department of Information and Communication Technologies. Center for Brain and Cognition. Computational Neuroscience Group; España.
dc.relation.ispartofVOLUME 5
dc.relation.ispartofNUMBER 1
dc.relation.ispartofPAGINATION 638
dc.relation.ispartofCOUNTRY Reino Unido
dc.relation.ispartofCITY Londres
dc.relation.ispartofTITLE Communications biology
dc.relation.ispartofISSN 2399-3642
dc.type.snrd info:ar-repo/semantics/artículo es_ES


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