The temporal asymmetry of cortical dynamics as a signature of brain states

The brain is a complex non-equilibrium system capable of expressing many different dynamics as well as the transitions between them. We hypothesized that the level of non-equilibrium can serve as a signature of a given brain state, which was quantified using the arrow of time (the level of irreversibility). Using this thermodynamic framework, the irreversibility of emergent cortical activity was quantified from local field potential recordings in male Lister-hooded rats at different anesthesia levels and during the sleep-wake cycle. This measure was carried out on five distinct brain states: slow-wave sleep, awake, deep anesthesia-slow waves, light anesthesia-slow waves, and microarousals. Low levels of irreversibility were associated with synchronous activity found both in deep anesthesia and slow-wave sleep states, suggesting that slow waves were the state closest to the thermodynamic equilibrium (maximum symmetry), thus requiring minimum energy. Higher levels of irreversibility were found when brain dynamics became more asynchronous, for example, in wakefulness. These changes were also reflected in the hierarchy of cortical dynamics across different cortical areas. The neural dynamics associated with different brain states were characterized by different degrees of irreversibility and hierarchy, also acting as markers of brain state transitions. This could open new routes to monitoring, controlling, and even changing brain states in health and disease.

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Publication Details

Journal
Scientific Reports
Published
2024-10-16
DOI
https://doi.org/10.1038/s41598-024-74649-1
Citations
9
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
3.08

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article

The temporal asymmetry of cortical dynamics as a signature of brain states

María V. Sánchez-Vives, Melody Torao‐Angosto, Morten L. Kringelbach, Gustavo Deco et al.
9 citations
Scientific Reports
Neural dynamics and brain function
3.08
article

The temporal asymmetry of cortical dynamics as a signature of brain states

María V. Sánchez-Vives, Melody Torao‐Angosto, Morten L. Kringelbach, Gustavo Deco, Alessandra Camassa, Arnau Manasanch
article en
9 citations

Abstract

The brain is a complex non-equilibrium system capable of expressing many different dynamics as well as the transitions between them. We hypothesized that the level of non-equilibrium can serve as a signature of a given brain state, which was quantified using the arrow of time (the level of irreversibility). Using this thermodynamic framework, the irreversibility of emergent cortical activity was quantified from local field potential recordings in male Lister-hooded rats at different anesthesia levels and during the sleep-wake cycle. This measure was carried out on five distinct brain states: slow-wave sleep, awake, deep anesthesia-slow waves, light anesthesia-slow waves, and microarousals. Low levels of irreversibility were associated with synchronous activity found both in deep anesthesia and slow-wave sleep states, suggesting that slow waves were the state closest to the thermodynamic equilibrium (maximum symmetry), thus requiring minimum energy. Higher levels of irreversibility were found when brain dynamics became more asynchronous, for example, in wakefulness. These changes were also reflected in the hierarchy of cortical dynamics across different cortical areas. The neural dynamics associated with different brain states were characterized by different degrees of irreversibility and hierarchy, also acting as markers of brain state transitions. This could open new routes to monitoring, controlling, and even changing brain states in health and disease.

Scientific ReportsVol. 14(1)
Institució Catalana de Recerca i Estudis Avançats (ES), Universitat Pompeu Fabra (ES), Aarhus University (DK), University of Oxford (GB), Royal Academy of Music (DK), Consorci Institut D'Investigacions Biomediques August Pi I Sunyer (ES)
European Commission, Ministerio de Ciencia e Innovación, Horizon 2020 Framework Programme, Agencia Estatal de Investigación
Openalex Percentile: Top 8%
Neural dynamics and brain function
3.08
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