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Erschienen in: Neural Computing and Applications 8/2011

01.11.2011 | ISNN 2010

Functional modeling of astrocytes in epilepsy: a feedback system perspective

verfasst von: Mahmood Amiri, Fariba Bahrami, Mahyar Janahmadi

Erschienen in: Neural Computing and Applications | Ausgabe 8/2011

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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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Metadaten
Titel
Functional modeling of astrocytes in epilepsy: a feedback system perspective
verfasst von
Mahmood Amiri
Fariba Bahrami
Mahyar Janahmadi
Publikationsdatum
01.11.2011
Verlag
Springer-Verlag
Erschienen in
Neural Computing and Applications / Ausgabe 8/2011
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-010-0479-0

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