TY  - JOUR
A1  - Escrichs, Anira
A1  - Sanz Perl, Yonatan
A1  - Uribe, Carme
A1  - Càmara, Estela
A1  - Türker, Basak
A1  - Pyatigorskaya, Nadya
A1  - López-González, Ane
A1  - Pallavicini, Carla
A1  - Panda, Rajanikant
A1  - Annen, Jitka
A1  - Grosseries, Olivia
A1  - Laureys, Steven
A1  - Naccache, Lionel
A1  - Sitt, Jacobo D.
A1  - Laufs, Helmut
A1  - Tagliazucchi, Enzo
A1  - Kringelbach, Morten L.
A1  - Deco, Gustavo
T1  - Unifying turbulent dynamics framework distinguishes different brain states
T2  - Communications Biology
N2  - 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.
Y1  - 2022
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/73786
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-737860
SN  - 2399-3642
VL  - 5
IS  - Article number 638
PB  - Springer Nature
CY  - London
ER  -