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Functional modeling of astrocytes in epilepsy: a feedback system perspective

Published: 01 November 2011 Publication History

Abstract

Astrocytes, a subtype of glial cells, in the brain provide structural and metabolic supports to the nervous system. They are also active partners in synaptic transmission and neuronal activities. In the present study, a biologically plausible thalamocortical neural population model (TCM) originally proposed by Suffczynski et al. (Neuroscience 126(2):467–484, 2004) is extended by integrating the functional role of astrocytes in the regulation of synaptic transmission. Therefore, the original TCM is modified to consider neuron-astrocyte interactions. Using the modified model, it is demonstrated that the healthy astrocytes are capable to compensate the variation of cortical excitatory input by increasing their firing frequency. In this way, they can preserve the attractor corresponding to the normal activity. Furthermore, the performance of the pathological astrocytes is also investigated. It is hypothesized that one of the plausible causes of seizures is the malfunction of astrocytes in the regulatory feedback loop. That is, pathologic astrocytes are not any more able to regulate and/or compensate the excessive increase of the cortical input. Therefore, pathologic astrocytes lead to the emergence of paroxysmal attractor. Results demonstrate that disruption of the homeostatic or signaling function of astrocytes can initiate the synchronous firing of neurons, suggesting that astrocytes might be one of the potential targets for the treatment of epilepsy.

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    cover image Neural Computing and Applications
    Neural Computing and Applications  Volume 20, Issue 8
    Special Issue: ISNN 2010
    November 2011
    196 pages
    ISSN:0941-0643
    EISSN:1433-3058
    Issue’s Table of Contents

    Publisher

    Springer-Verlag

    Berlin, Heidelberg

    Publication History

    Published: 01 November 2011

    Author Tags

    1. Astrocyte
    2. Epilepsy
    3. Functional modeling
    4. Thalamocortical model

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    • (2018)A digital implementation of neuron-astrocyte interaction for neuromorphic applicationsNeural Networks10.1016/j.neunet.2015.01.00566:C(79-90)Online publication date: 31-Dec-2018
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    • (2018)Astrocyte- neuron interaction as a mechanism responsible for generation of neural synchronyJournal of Computational Neuroscience10.1007/s10827-012-0432-634:3(489-504)Online publication date: 20-Dec-2018
    • (2018)Modified thalamocortical modelJournal of Computational Neuroscience10.1007/s10827-012-0386-833:2(285-299)Online publication date: 20-Dec-2018
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    • (2018)An analog astrocyte---neuron interaction circuit for neuromorphic applicationsJournal of Computational Electronics10.1007/s10825-015-0703-314:3(694-706)Online publication date: 21-Dec-2018
    • (2018)A novel digital implementation of neuron---astrocyte interactionsJournal of Computational Electronics10.1007/s10825-014-0643-314:1(227-239)Online publication date: 21-Dec-2018
    • (2018)A multiplier-less digital design of a bio-inspired stimulator to suppress synchronized regime in a large-scale, sparsely connected neural networkNeural Computing and Applications10.1007/s00521-015-2071-028:2(375-390)Online publication date: 27-Dec-2018
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