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Computational Models of Pathophysiological Glial Activation in CNS Disorders

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Computational Glioscience

Part of the book series: Springer Series in Computational Neuroscience ((NEUROSCI))

Abstract

Glial cells, in general, and astrocytes, in particular, are indispensable for homeostatic regulation of neural function, which positions these non-neuronal cells in the limelight of CNS pathologies. The renewed interest in glial physiology and the advent of new experimental methods motivated the development of computational models of glial cells. In this contribution, we review the development and challenges of computational models of pathophysiological glial activation in CNS disorders.

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Acknowledgements

MB acknowledges financial support through the research grants from the Office of Naval Research (MURI, N000141310672) and National Institutes of Health (R01 EB009282 and R01 MH099645). The work of VV was sponsored by the US Army Medical Research and Materiel Command under contract W81XWH-11-D-0011. This document is cleared for all audiences for OPSEC purposes. Cleared for public release 09/25/2015. The opinions or assertions contained herein are private views of the authors and are not to be construed as official or as reflecting views of the Department of the Army or the Department of Defense. PAO reviewed.

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Authors and Affiliations

  1. Progenity Inc., 4330 La Jolla Village Dr., San Diego, CA, 92122, USA

    Vladislav Volman

  2. Department of Medicine, University of California, La Jolla, San Diego, CA, 92093, USA

    Maxim Bazhenov

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  1. Vladislav Volman
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  2. Maxim Bazhenov
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Correspondence to Vladislav Volman .

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Editors and Affiliations

  1. Group of Mathematical, Computational and Experimental Neuroscience, Basque Center for Applied Mathematics, Bilbao, Biscay, Spain

    Maurizio De Pittà

  2. INRIA Rhône-Alpes, Université de Lyon, Villeurbanne, Lyon, France

    Hugues Berry

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Volman, V., Bazhenov, M. (2019). Computational Models of Pathophysiological Glial Activation in CNS Disorders. In: De Pittà, M., Berry, H. (eds) Computational Glioscience. Springer Series in Computational Neuroscience. Springer, Cham. https://doi.org/10.1007/978-3-030-00817-8_11

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