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Modelling the anesthetized brain with ensembles of neuronal and astrocytic oscillators

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Modelling the anesthetized brain with ensembles of neuronal and astrocytic oscillators. / Hansard, Tom; Hale, Alison; Stefanovska, Aneta.
AIP Proceedings. Vol. 1510 American Institute of Physics, 2013.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Hansard, T, Hale, A & Stefanovska, A 2013, Modelling the anesthetized brain with ensembles of neuronal and astrocytic oscillators. in AIP Proceedings. vol. 1510, American Institute of Physics. https://doi.org/10.1063/1.4776510

APA

Hansard, T., Hale, A., & Stefanovska, A. (2013). Modelling the anesthetized brain with ensembles of neuronal and astrocytic oscillators. In AIP Proceedings (Vol. 1510). American Institute of Physics. https://doi.org/10.1063/1.4776510

Vancouver

Hansard T, Hale A, Stefanovska A. Modelling the anesthetized brain with ensembles of neuronal and astrocytic oscillators. In AIP Proceedings. Vol. 1510. American Institute of Physics. 2013 doi: 10.1063/1.4776510

Author

Hansard, Tom ; Hale, Alison ; Stefanovska, Aneta. / Modelling the anesthetized brain with ensembles of neuronal and astrocytic oscillators. AIP Proceedings. Vol. 1510 American Institute of Physics, 2013.

Bibtex

@inproceedings{cd77ff0645d442df8906a5ed8bdd2e83,
title = "Modelling the anesthetized brain with ensembles of neuronal and astrocytic oscillators",
abstract = "We propose a minimalistic model of the anesthetized brain in order to study the generation of rhythms observed in electroencephalograms (EEGs) recorded from anesthetized humans. We propose that non-neuronal brain cells-astrocytes-play an important role in brain dynamics and that oscillation-based models may provide a simple way to study such dynamics. The model is capable of replicating the main features (i.e. slow and alpha oscillations) observed in EEGs. In addition, this model suggests that astrocytes are integral to the generation of slow EEG (∼0.7 Hz) rhythms. By including astrocytes in the model we take a first step towards investigating the interaction of the brain and cardiovasular system which are primarily connected via astrocytes. The model also illustrates that rich nonlinear dynamics can arise from basic oscillatory {"}building blocks{"} and therefore complex systems may be modelled in an uncomplicated way.",
author = "Tom Hansard and Alison Hale and Aneta Stefanovska",
year = "2013",
month = jan,
day = "15",
doi = "10.1063/1.4776510",
language = "English",
volume = "1510",
booktitle = "AIP Proceedings",
publisher = "American Institute of Physics",

}

RIS

TY - GEN

T1 - Modelling the anesthetized brain with ensembles of neuronal and astrocytic oscillators

AU - Hansard, Tom

AU - Hale, Alison

AU - Stefanovska, Aneta

PY - 2013/1/15

Y1 - 2013/1/15

N2 - We propose a minimalistic model of the anesthetized brain in order to study the generation of rhythms observed in electroencephalograms (EEGs) recorded from anesthetized humans. We propose that non-neuronal brain cells-astrocytes-play an important role in brain dynamics and that oscillation-based models may provide a simple way to study such dynamics. The model is capable of replicating the main features (i.e. slow and alpha oscillations) observed in EEGs. In addition, this model suggests that astrocytes are integral to the generation of slow EEG (∼0.7 Hz) rhythms. By including astrocytes in the model we take a first step towards investigating the interaction of the brain and cardiovasular system which are primarily connected via astrocytes. The model also illustrates that rich nonlinear dynamics can arise from basic oscillatory "building blocks" and therefore complex systems may be modelled in an uncomplicated way.

AB - We propose a minimalistic model of the anesthetized brain in order to study the generation of rhythms observed in electroencephalograms (EEGs) recorded from anesthetized humans. We propose that non-neuronal brain cells-astrocytes-play an important role in brain dynamics and that oscillation-based models may provide a simple way to study such dynamics. The model is capable of replicating the main features (i.e. slow and alpha oscillations) observed in EEGs. In addition, this model suggests that astrocytes are integral to the generation of slow EEG (∼0.7 Hz) rhythms. By including astrocytes in the model we take a first step towards investigating the interaction of the brain and cardiovasular system which are primarily connected via astrocytes. The model also illustrates that rich nonlinear dynamics can arise from basic oscillatory "building blocks" and therefore complex systems may be modelled in an uncomplicated way.

U2 - 10.1063/1.4776510

DO - 10.1063/1.4776510

M3 - Conference contribution/Paper

VL - 1510

BT - AIP Proceedings

PB - American Institute of Physics

ER -