Unifying turbulent dynamics framework distinguishes different brain states

Anira Escrichs, Yonatan Sanz Perl, Carme Uribe, Estela Camara, Basak Türker, Nadya Pyatigorskaya, Ane López-González, Carla Pallavicini, Rajanikant Panda, Jitka Annen, Olivia Gosseries, Steven Laureys, Lionel Naccache, Jacobo D. Sitt, Helmut Laufs, Enzo Tagliazucchi, Morten L. Kringelbach, Gustavo Deco

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

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.

Original languageEnglish
Article number638
JournalCommunications Biology
Volume5
Issue number1
DOIs
StatePublished - Dec 2022
Externally publishedYes

Fingerprint

Dive into the research topics of 'Unifying turbulent dynamics framework distinguishes different brain states'. Together they form a unique fingerprint.

Cite this