Open Access
Scientific Reports, volume 13, issue 1, publication number 6401
Loss of neuron network coherence induced by virus-infected astrocytes: a model study
Publication type: Journal Article
Publication date: 2023-04-19
PubMed ID:
37076526
Multidisciplinary
Abstract
Coherent activations of brain neuron networks underlie many physiological functions associated with various behavioral states. These synchronous fluctuations in the electrical activity of the brain are also referred to as brain rhythms. At the cellular level, rhythmicity can be induced by various mechanisms of intrinsic oscillations in neurons or the network circulation of excitation between synaptically coupled neurons. One specific mechanism concerns the activity of brain astrocytes that accompany neurons and can coherently modulate synaptic contacts of neighboring neurons, synchronizing their activity. Recent studies have shown that coronavirus infection (Covid-19), which enters the central nervous system and infects astrocytes, can cause various metabolic disorders. Specifically, Covid-19 can depress the synthesis of astrocytic glutamate and gamma-aminobutyric acid. It is also known that in the post-Covid state, patients may suffer from symptoms of anxiety and impaired cognitive functions. We propose a mathematical model of a spiking neuron network accompanied by astrocytes capable of generating quasi-synchronous rhythmic bursting discharges. The model predicts that if the release of glutamate is depressed, normal burst rhythmicity will suffer dramatically. Interestingly, in some cases, the failure of network coherence may be intermittent, with intervals of normal rhythmicity, or the synchronization can disappear.
Citations by journals
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2
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Mathematics
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Mathematics
2 publications, 16.67%
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Studies in Computational Intelligence
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Studies in Computational Intelligence
2 publications, 16.67%
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Entropy
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Entropy
1 publication, 8.33%
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Sensors
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Sensors
1 publication, 8.33%
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Frontiers in Neuroscience
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Frontiers in Neuroscience
1 publication, 8.33%
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Communications in Computer and Information Science
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Communications in Computer and Information Science
1 publication, 8.33%
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Chaos, Solitons and Fractals
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Chaos, Solitons and Fractals
1 publication, 8.33%
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1
2
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Citations by publishers
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4
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Multidisciplinary Digital Publishing Institute (MDPI)
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Multidisciplinary Digital Publishing Institute (MDPI)
4 publications, 33.33%
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IEEE
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IEEE
3 publications, 25%
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Springer Nature
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Springer Nature
3 publications, 25%
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Frontiers Media S.A.
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Frontiers Media S.A.
1 publication, 8.33%
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Elsevier
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Elsevier
1 publication, 8.33%
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- We do not take into account publications that without a DOI.
- Statistics recalculated only for publications connected to researchers, organizations and labs registered on the platform.
- Statistics recalculated weekly.
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Stasenko S. V. et al. Loss of neuron network coherence induced by virus-infected astrocytes: a model study // Scientific Reports. 2023. Vol. 13. No. 1. 6401
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Stasenko S. V., HRAMOV A. E., KAZANTSEV V. B. Loss of neuron network coherence induced by virus-infected astrocytes: a model study // Scientific Reports. 2023. Vol. 13. No. 1. 6401
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TY - JOUR
DO - 10.1038/s41598-023-33622-0
UR - https://doi.org/10.1038%2Fs41598-023-33622-0
TI - Loss of neuron network coherence induced by virus-infected astrocytes: a model study
T2 - Scientific Reports
AU - Stasenko, Sergey V
AU - HRAMOV, ALEXANDER E.
AU - KAZANTSEV, VICTOR B.
PY - 2023
DA - 2023/04/19 00:00:00
PB - Springer Nature
IS - 1
VL - 13
PMID - 37076526
SN - 2045-2322
ER -
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@article{2023_Stasenko,
author = {Sergey V Stasenko and ALEXANDER E. HRAMOV and VICTOR B. KAZANTSEV},
title = {Loss of neuron network coherence induced by virus-infected astrocytes: a model study},
journal = {Scientific Reports},
year = {2023},
volume = {13},
publisher = {Springer Nature},
month = {apr},
url = {https://doi.org/10.1038%2Fs41598-023-33622-0},
number = {1},
doi = {10.1038/s41598-023-33622-0}
}