Modeling of Astrocyte Networks: Toward Realistic Topology and Dynamics

Neuronal firing and neuron-to-neuron synaptic wiring are currently widely described as orchestrated by astrocytes—elaborately ramified glial cells tiling the cortical and hippocampal space into non-overlapping domains, each covering hundreds of individual dendrites and hundreds thousands synapses. A...

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Main Authors: Andrey Yu. Verisokin, Darya V. Verveyko, Dmitry E. Postnov, Alexey R. Brazhe
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-03-01
Series:Frontiers in Cellular Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fncel.2021.645068/full
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author Andrey Yu. Verisokin
Darya V. Verveyko
Dmitry E. Postnov
Alexey R. Brazhe
Alexey R. Brazhe
author_facet Andrey Yu. Verisokin
Darya V. Verveyko
Dmitry E. Postnov
Alexey R. Brazhe
Alexey R. Brazhe
author_sort Andrey Yu. Verisokin
collection DOAJ
description Neuronal firing and neuron-to-neuron synaptic wiring are currently widely described as orchestrated by astrocytes—elaborately ramified glial cells tiling the cortical and hippocampal space into non-overlapping domains, each covering hundreds of individual dendrites and hundreds thousands synapses. A key component to astrocytic signaling is the dynamics of cytosolic Ca2+ which displays multiscale spatiotemporal patterns from short confined elemental Ca2+ events (puffs) to Ca2+ waves expanding through many cells. Here, we synthesize the current understanding of astrocyte morphology, coupling local synaptic activity to astrocytic Ca2+ in perisynaptic astrocytic processes and morphology-defined mechanisms of Ca2+ regulation in a distributed model. To this end, we build simplified realistic data-driven spatial network templates and compile model equations as defined by local cell morphology. The input to the model is spatially uncorrelated stochastic synaptic activity. The proposed modeling approach is validated by statistics of simulated Ca2+ transients at a single cell level. In multicellular templates we observe regular sequences of cell entrainment in Ca2+ waves, as a result of interplay between stochastic input and morphology variability between individual astrocytes. Our approach adds spatial dimension to the existing astrocyte models by employment of realistic morphology while retaining enough flexibility and scalability to be embedded in multiscale heterocellular models of neural tissue. We conclude that the proposed approach provides a useful description of neuron-driven Ca2+-activity in the astrocyte syncytium.
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spelling doaj.art-ea19b86b0b6a4a70b443dbfa44d7ee352022-12-21T23:21:04ZengFrontiers Media S.A.Frontiers in Cellular Neuroscience1662-51022021-03-011510.3389/fncel.2021.645068645068Modeling of Astrocyte Networks: Toward Realistic Topology and DynamicsAndrey Yu. Verisokin0Darya V. Verveyko1Dmitry E. Postnov2Alexey R. Brazhe3Alexey R. Brazhe4Department of Theoretical Physics, Kursk State University, Kursk, RussiaDepartment of Theoretical Physics, Kursk State University, Kursk, RussiaDepartment of Optics and Biophotonics, Saratov State University, Saratov, RussiaDepartment of Biophysics, Biological Faculty, Lomonosov Moscow State University, Moscow, RussiaDepartment of Molecular Neurobiology, Institute of Bioorganic Chemistry RAS, Russian Federation, Moscow, RussiaNeuronal firing and neuron-to-neuron synaptic wiring are currently widely described as orchestrated by astrocytes—elaborately ramified glial cells tiling the cortical and hippocampal space into non-overlapping domains, each covering hundreds of individual dendrites and hundreds thousands synapses. A key component to astrocytic signaling is the dynamics of cytosolic Ca2+ which displays multiscale spatiotemporal patterns from short confined elemental Ca2+ events (puffs) to Ca2+ waves expanding through many cells. Here, we synthesize the current understanding of astrocyte morphology, coupling local synaptic activity to astrocytic Ca2+ in perisynaptic astrocytic processes and morphology-defined mechanisms of Ca2+ regulation in a distributed model. To this end, we build simplified realistic data-driven spatial network templates and compile model equations as defined by local cell morphology. The input to the model is spatially uncorrelated stochastic synaptic activity. The proposed modeling approach is validated by statistics of simulated Ca2+ transients at a single cell level. In multicellular templates we observe regular sequences of cell entrainment in Ca2+ waves, as a result of interplay between stochastic input and morphology variability between individual astrocytes. Our approach adds spatial dimension to the existing astrocyte models by employment of realistic morphology while retaining enough flexibility and scalability to be embedded in multiscale heterocellular models of neural tissue. We conclude that the proposed approach provides a useful description of neuron-driven Ca2+-activity in the astrocyte syncytium.https://www.frontiersin.org/articles/10.3389/fncel.2021.645068/fullcalcium signalingcell morphologynoise-driven dynamicsastrocytesmodeling
spellingShingle Andrey Yu. Verisokin
Darya V. Verveyko
Dmitry E. Postnov
Alexey R. Brazhe
Alexey R. Brazhe
Modeling of Astrocyte Networks: Toward Realistic Topology and Dynamics
Frontiers in Cellular Neuroscience
calcium signaling
cell morphology
noise-driven dynamics
astrocytes
modeling
title Modeling of Astrocyte Networks: Toward Realistic Topology and Dynamics
title_full Modeling of Astrocyte Networks: Toward Realistic Topology and Dynamics
title_fullStr Modeling of Astrocyte Networks: Toward Realistic Topology and Dynamics
title_full_unstemmed Modeling of Astrocyte Networks: Toward Realistic Topology and Dynamics
title_short Modeling of Astrocyte Networks: Toward Realistic Topology and Dynamics
title_sort modeling of astrocyte networks toward realistic topology and dynamics
topic calcium signaling
cell morphology
noise-driven dynamics
astrocytes
modeling
url https://www.frontiersin.org/articles/10.3389/fncel.2021.645068/full
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