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Morten L. Kringelbach

Unifying turbulent dynamics framework distinguishes different brain states

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DOI

  • Anira Escrichs, Pompeu Fabra University
  • ,
  • Yonatan Sanz Perl, Pompeu Fabra University, Universidad de San Andrés, Institut du Cerveau et de la Moelle Épinière
  • ,
  • Carme Uribe, University of Barcelona, August Pi i Sunyer Biomedical Research Institute
  • ,
  • Estela Camara, Bellvitge Biomedical Research Institute, University of Barcelona
  • ,
  • Basak Türker, Institut du Cerveau et de la Moelle Épinière, University of Paris
  • ,
  • Nadya Pyatigorskaya, Institut du Cerveau et de la Moelle Épinière, Sorbonne Université, University of Paris
  • ,
  • Ane López-González, Pompeu Fabra University
  • ,
  • Carla Pallavicini, Fundacion Para La Lucha Contra Las Enfermedades Neurologicas de La Infancia, Universidad de Buenos Aires
  • ,
  • Rajanikant Panda, University of Liege
  • ,
  • Jitka Annen, University of Liege
  • ,
  • Olivia Gosseries, University of Liege
  • ,
  • Steven Laureys, University of Liege, Université Laval, Hangzhou Normal University
  • ,
  • Lionel Naccache, Institut du Cerveau et de la Moelle Épinière, University of Paris
  • ,
  • Jacobo D. Sitt, Institut du Cerveau et de la Moelle Épinière, University of Paris
  • ,
  • Helmut Laufs, Kiel University, Goethe University Frankfurt
  • ,
  • Enzo Tagliazucchi, Universidad de Buenos Aires, Universidad Adolfo Ibanez
  • ,
  • Morten L. Kringelbach
  • Gustavo Deco, Pompeu Fabra University, ICREA, Max Planck Institute for Human Cognitive and Brain Sciences, Monash University

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.

OriginalsprogEngelsk
Artikelnummer638
TidsskriftCommunications Biology
Vol/bind5
Nummer1
ISSN2399-3642
DOI
StatusUdgivet - jun. 2022

Bibliografisk note

Funding Information:
A.E is supported by the HBP SGA3 Human Brain Project Specific Grant Agreement 3 (grant agreement no. 945539), funded by the EU H2020 FET Flagship programme. Y.S.P is supported by European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant 896354. G.D. is supported by the Spanish national research project (ref. PID2019-105772GB-I00 MCIU AEI) funded by the Spanish Ministry of Science, Innovation and Universities (MCIU), State Research Agency (AEI). M.L.K is supported by the Center for Music in the Brain, funded by the Danish National Research Foundation (DNRF117), and Centre for Eudaimonia and Human Flourishing at Linacre College funded by the Pettit and Carlsberg Foundations. The study was supported by the University and University Hospital of Liège, the Belgian National Funds for Scientific Research (FRS-FNRS), the European Space Agency (ESA) and the Belgian Federal Science Policy Office (BELSPO) in the framework of the PRODEX Programme, the BIAL Foundation, the Mind Science Foundation, the fund Generet of the King Baudouin Foundation, the Mind-Care foundation and AstraZeneca Foundation, the National Natural Science Foundation of China (Joint Research Project 81471100) and the European Foundation of Biomedical Research FERB Onlus. R.P is research fellow, O.G is research associate, and S.L is research director at FRS-FNRS. The authors thank all the patients and participants, and the entire staff of the Radiodiagnostic and Nuclear departments of the University Hospital of Liège.

Funding Information:
A.E is supported by the HBP SGA3 Human Brain Project Specific Grant Agreement 3 (grant agreement no. 945539), funded by the EU H2020 FET Flagship programme. Y.S.P is supported by European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant 896354. G.D. is supported by the Spanish national research project (ref. PID2019-105772GB-I00 MCIU AEI) funded by the Spanish Ministry of Science, Innovation and Universities (MCIU), State Research Agency (AEI). M.L.K is supported by the Center for Music in the Brain, funded by the Danish National Research Foundation (DNRF117), and Centre for Eudaimonia and Human Flourishing at Linacre College funded by the Pettit and Carlsberg Foundations. The study was supported by the University and University Hospital of Liège, the Belgian National Funds for Scientific Research (FRS-FNRS), the European Space Agency (ESA) and the Belgian Federal Science Policy Office (BELSPO) in the framework of the PRODEX Programme, the BIAL Foundation, the Mind Science Foundation, the fund Generet of the King Baudouin Foundation, the Mind-Care foundation and AstraZeneca Foundation, the National Natural Science Foundation of China (Joint Research Project 81471100) and the European Foundation of Biomedical Research FERB Onlus. R.P is research fellow, O.G is research associate, and S.L is research director at FRS-FNRS. The authors thank all the patients and participants, and the entire staff of the Radiodiagnostic and Nuclear departments of the University Hospital of Liège.

Publisher Copyright:
© 2022, The Author(s).

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