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首页> 外文期刊>Journal of Computational Neuroscience >The influence of sodium and potassium dynamics on excitability, seizures, and the stability of persistent states: II. Network and glial dynamics
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The influence of sodium and potassium dynamics on excitability, seizures, and the stability of persistent states: II. Network and glial dynamics

机译：钠和钾动力学对兴奋性，癫痫发作和持续状态稳定性的影响：II。网络和神经胶质动力学

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摘要

In these companion papers, we study how the interrelated dynamics of sodium and potassium affect the excitability of neurons, the occurrence of seizures, and the stability of persistent states of activity. We seek to study these dynamics with respect to the following compartments: neurons, glia, and extracellular space. We are particularly interested in the slower time-scale dynamics that determine overall excitability, and set the stage for transient episodes of persistent oscillations, working memory, or seizures. In this second of two companion papers, we present an ionic current network model composed of populations of Hodgkin-Huxley type excitatory and inhibitory neurons embedded within extracellular space and glia, in order to investigate the role of micro-environmental ionic dynamics on the stability of persistent activity. We show that these networks reproduce seizure-like activity if glial cells fail to maintain the proper micro-environmental conditions surrounding rnneurons, and produce several experimentally testable predictions. Our work suggests that the stability of persistent states to perturbation is set by glial activity, and that how the response to such perturbations decays or grows may be a critical factor in a variety of disparate transient phenomena such as working memory, burst firing in neonatal brain or spinal cord, up states, seizures, and cortical oscillations.
机译：在这些伴随论文中，我们研究了钠和钾的相关动力学如何影响神经元的兴奋性，癫痫发作的发生以及活动持续状态的稳定性。我们试图研究以下几个方面的动力学：神经元，神经胶质细胞和细胞外空间。我们对确定整体兴奋性的较慢的时标动力学特别感兴趣，并为持续振荡，工作记忆或癫痫发作的短暂发作奠定了基础。在这两篇附带的论文的第二篇中，我们提出了一个离子电流网络模型，该模型由嵌入细胞外空间和神经胶质中的霍奇金-赫克斯利型兴奋性和抑制性神经元组成，目的是研究微环境离子动力学对稳定性的影响。持续的活动。我们显示，如果神经胶质细胞不能维持神经元周围的适当微环境条件，这些网络将重现癫痫样活动，并产生一些可测试的预测。我们的工作表明，持续状态对微扰的稳定性由神经胶质活动决定，并且对这种微扰的响应如何衰减或增长可能是各种不同的短暂现象（例如工作记忆，新生儿大脑中的突发放电）的关键因素或脊髓，向上状态，癫痫发作和皮质振荡。

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  • 来源
    《Journal of Computational Neuroscience》 |2009年第2期|171-183|共13页
  • 作者

    Ghanim Ullah; John R. Cressrnan Jr.; Ernest Barreto; Steven J. Schiff;

  • 作者单位

    Center for Neural Engineering, Department of Engineering Science and Mechanics, The Pennsylvania State University, 212 Earth Engineering Science Building, University Park, PA 16802, USA;

    Department of Physics and Astronomy, The Center for Neural Dynamics, and The Krasnow Institute for Advanced Study, George Mason University, Fairfax, VA 22030, USA;

    Department of Physics and Astronomy, The Center for Neural Dynamics, and The Krasnow Institute for Advanced Study, George Mason University, Fairfax, VA 22030, USA;

    Departments of Neurosurgery and Physics, The Pennsylvania State University, University Park, PA 16802, USA Center for Neural Engineering, Department of Engineering Science and Mechanics, The Pennsylvania State University, 212 Earth Engineering Science Building, University Park, PA 16802, USA;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    neuronal networks; instability; glia buffering; seizures; persistent activity;

    机译：神经网络不稳定胶质细胞缓冲癫痫发作持续活动;

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