Unifying turbulent dynamics framework distinguishes different brain states

Journal article

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.Fil: Escrichs, Anira. Universitat Pompeu Fabra; EspañaFil: Sanz Perl Hernandez, Yonatan. Universidad de San Andrés; Argentina. Universitat Pompeu Fabra; España. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Uribe, Carme. Universidad de Barcelona; EspañaFil: Camara, Estela. Universidad de Barcelona; EspañaFil: Türker, Basak. Inserm; FranciaFil: Pyatigorskaya, Nadya. Université Pierre et Marie Curie; Francia. Inserm; FranciaFil: López González, Ane. Universitat Pompeu Fabra; EspañaFil: Pallavicini, Carla. Universidad de Buenos Aires; Argentina. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia. Instituto de Neurociencias - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Neurociencias; ArgentinaFil: Panda, Rajanikant. Université de Liège; BélgicaFil: Annen, Jitka. Université de Liège; BélgicaFil: Gosseries, Olivia. Université de Liège; BélgicaFil: Laureys, Steven. Université de Liège; Bélgica. Laval University; CanadáFil: Naccache, Lionel. Inserm; FranciaFil: Sitt, Jacobo D.. Inserm; FranciaFil: Laufs, Helmut. Goethe Universitat Frankfurt; AlemaniaFil: Tagliazucchi, Enzo. Universidad de Buenos Aires; ArgentinaFil: Kringelbach, Morten L.. University of Oxford; Reino Unido. University Aarhus; DinamarcaFil: Deco, Gustavo. Monash University; Australia. Universitat Pompeu Fabra; Españ

Authors: Escrichs, A; Perl, YS; Uribe, C; Camara, E; Türker, B

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: Nature Research
• Journal: Communications Biology
• Volume: 5
• Issue: 1
• Pages: 638-638
• Article number: 638
• Publication date: 2022-06-29
• DOI: 10.1038/s42003-022-03576-6
• EISSN: 2399-3642
• ISSN: 2399-3642
• Language: English
• Keywords: Statistical physics; Physics; Dynamics (music); Psychology; Neuroscience; Cognitive science; Mechanics; Turbulence