Oxygen and seizure dynamics: II. Computational modeling.
Oxygen and seizure dynamics: II. Computational modeling.
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DOI：
10.1152/jn.00541.2013
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发表时间：
2014-07
影响因子：
2.5
通讯作者：
Yina Wei;G. Ullah;J. Ingram;S. Schiff
中科院分区：
文献类型：
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作者：
Yina Wei;G. Ullah;J. Ingram;S. Schiff
电生理记录显示癫痫发作期间强烈的神经元放电导致能量消耗增加。然而，氧代谢和癫痫发作模式之间的关系尚未得到充分研究。最近的研究开发了快速定量技术来测量癫痫发作期间的氧微区浓度。在本文中，我们开发了一个生物物理模型来解释这些实验观察结果。该模型是 Hodgkin-Huxley 形式主义的延伸，包括钠、钾和氧浓度的神经元微环境动力学。我们的模型考虑了癫痫发作期间和之后的代谢能量消耗。我们可以进一步解释实验观察结果，即缺氧会诱发癫痫发作，癫痫发作仅在组织氧压的狭窄范围内发生。我们还重现了实验中看到的兴奋性和抑制性神经元之间的相互作用，解释了癫痫发作期间兴奋性细胞层和抑制性细胞层中观察到的不同氧气水平。我们的研究结果让我们更全面地了解癫痫发作、离子动力学和能量代谢之间复杂的相互关系。
Electrophysiological recordings show intense neuronal firing during epileptic seizures leading to enhanced energy consumption. However, the relationship between oxygen metabolism and seizure patterns has not been well studied. Recent studies have developed fast and quantitative techniques to measure oxygen microdomain concentration during seizure events. In this article, we develop a biophysical model that accounts for these experimental observations. The model is an extension of the Hodgkin-Huxley formalism and includes the neuronal microenvironment dynamics of sodium, potassium, and oxygen concentrations. Our model accounts for metabolic energy consumption during and following seizure events. We can further account for the experimental observation that hypoxia can induce seizures, with seizures occurring only within a narrow range of tissue oxygen pressure. We also reproduce the interplay between excitatory and inhibitory neurons seen in experiments, accounting for the different oxygen levels observed during seizures in excitatory vs. inhibitory cell layers. Our findings offer a more comprehensive understanding of the complex interrelationship among seizures, ion dynamics, and energy metabolism.