Article (Scientific journals)
Unifying turbulent dynamics framework distinguishes different brain states.
Escrichs, Anira; Perl, Yonatan Sanz; Uribe, Carme et al.
2022In Communications Biology, 5 (1), p. 638
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Abstract :
[en] 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.
Disciplines :
Neurosciences & behavior
Author, co-author :
Escrichs, Anira  ;  Computational Neuroscience Group, Center for Brain and Cognition, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Catalonia, Spain. anira.escrichs@upf.edu
Perl, Yonatan Sanz ;  Computational Neuroscience Group, Center for Brain and Cognition, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Catalonia, Spain. yonatan.sanz@upf.edu ; Universidad de San Andrés, Buenos Aires, Argentina. yonatan.sanz@upf.edu ; Institut du Cerveau et de la Moelle épinière, ICM, Paris, France. yonatan.sanz@upf.edu
Uribe, Carme ;  Medical Psychology Unit, Department of Medicine, Institute of Neuroscience, University of Barcelona, Barcelona, Catalonia, Spain ; Institute of Biomedical Research August Pi i Sunyer (IDIBAPS), Barcelona, Catalonia, Spain
Camara, Estela;  Cognition and Brain Plasticity Unit, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain ; Department of Cognition, Development and Educational Psychology, University of Barcelona, Barcelona, Spain
Türker, Basak;  Institut du Cerveau et de la Moelle épinière, ICM, Paris, France ; Inserm U 1127, Paris, France ; CNRS UMR 7225, Paris, France
Pyatigorskaya, Nadya;  Institut du Cerveau et de la Moelle épinière, ICM, Paris, France ; Inserm U 1127, Paris, France ; CNRS UMR 7225, Paris, France ; Department of Neuroradiology, AP-HP, Hôpital Pitié-Salpêtrière, Sorbonne Université, Paris, France
López-González, Ane ;  Computational Neuroscience Group, Center for Brain and Cognition, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Catalonia, Spain
Pallavicini, Carla;  Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (FLENI), Buenos Aires, Argentina ; Department of Physics, University of Buenos Aires, Buenos Aires, Argentina
Panda, Rajanikant  ;  Université de Liège - ULiège > Département des sciences cliniques
Annen, Jitka  ;  Université de Liège - ULiège > Département des sciences cliniques
Gosseries, Olivia  ;  Université de Liège - ULiège > Département des sciences cliniques
LAUREYS, Steven  ;  Centre Hospitalier Universitaire de Liège - CHU > > Centre du Cerveau² ; Joint International Research Unit on Consciousness, CERVO Brain Research Centre, U Laval CANADA, Québec, QC, Canada ; International Consciousness Science Institute, Hangzhou Normal University, Hangzhou, China
Naccache, Lionel ;  Institut du Cerveau et de la Moelle épinière, ICM, Paris, France ; Inserm U 1127, Paris, France ; CNRS UMR 7225, Paris, France
Sitt, Jacobo D;  Institut du Cerveau et de la Moelle épinière, ICM, Paris, France ; Inserm U 1127, Paris, France ; CNRS UMR 7225, Paris, France
Laufs, Helmut ;  Department of Neurology, Christian Albrechts University, Kiel, Germany ; Department of Neurology and Brain Imaging Center, Goethe University, Frankfurt am Main, Germany
Tagliazucchi, Enzo;  Department of Physics, University of Buenos Aires, Buenos Aires, Argentina ; Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez, Santiago, Chile
Kringelbach, Morten L  ;  Department of Psychiatry, University of Oxford, Oxford, UK. morten.kringelbach@psych.ox.ac.uk ; Center for Music in the Brain, Department of Clinical Medicine, Aarhus University, DK, Jutland, Denmark. morten.kringelbach@psych.ox.ac.uk ; Centre for Eudaimonia and Human Flourishing, University of Oxford, Oxford, UK. morten.kringelbach@psych.ox.ac.uk
Deco, Gustavo  ;  Computational Neuroscience Group, Center for Brain and Cognition, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Catalonia, Spain. gustavo.deco@upf.edu ; Institució Catalana de la Recerca i Estudis Avancats (ICREA), Barcelona, Catalonia, Spain. gustavo.deco@upf.edu ; Department of Neuropsychology, Max Planck Institute for human Cognitive and Brain Sciences, Leipzig, Germany. gustavo.deco@upf.edu ; School of Psychological Sciences, Monash University, Melbourne, Australia. gustavo.deco@upf.edu
More authors (8 more) Less
 These authors have contributed equally to this work.
Language :
English
Title :
Unifying turbulent dynamics framework distinguishes different brain states.
Publication date :
29 June 2022
Journal title :
Communications Biology
eISSN :
2399-3642
Publisher :
Nature, London, Gb
Volume :
5
Issue :
1
Pages :
638
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 06 July 2022

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