神经元中细胞记忆和超扩散导致的钙和一氧化氮的非线性系统动力学

Anand Pawar, K. Pardasani
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引用次数: 0

摘要

整数阶相互依存的钙离子([Ca2+])和一氧化氮(NO)系统无法揭示超扩散和记忆在触发神经元布朗运动(BM)中的影响。因此,我们结合神经元中的反应-扩散方程,构建了[Ca2+]和一氧化氮的分数阶非线性时空系统数学模型。模型中纳入了[Ca2+]和 NO 系统之间的双向反馈过程,即钙对 NO 生成的反馈和 NO 通过环磷酸鸟苷(cGMP)与质膜[Ca2+]-ATP 酶(PMCA)对钙的反馈。研究采用了带有空间导数格伦瓦尔德近似的 Crank-Nicholson 方案(CNS)和带有时间导数高斯-赛德尔(GS)迭代的 L1 方案。通过分析数值结果,深入了解了[Ca2+]和 NO 系统的超扩散、缓冲和记忆表现 BM。在神经元中探讨了导致钙和 NO 系统功能失调的条件、事件和机制,以及导致帕金森氏症等不同疾病的原因。
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NONLINEAR SYSTEM DYNAMICS OF CALCIUM AND NITRIC OXIDE DUE TO CELL MEMORY AND SUPERDIFFUSION IN NEURONS
The integer-order interdependent calcium ([Ca2+]) and nitric oxide (NO) systems are unable to shed light on the influences of the superdiffusion and memory in triggering Brownian motion (BM) in neurons. Therefore, a mathematical model is constructed for the fractional-order nonlinear spatiotemporal systems of [Ca2+] and NO incorporating reaction-diffusion equations in neurons. The two-way feedback process between [Ca2+] and NO systems through calcium feedback on NO production and NO feedback on calcium through cyclic guanosine monophosphate (cGMP) with plasmalemmal [Ca2+]-ATPase (PMCA) was incorporated in the model. The Crank-Nicholson scheme (CNS) with Grunwald approximation along spatial derivatives and L1 scheme along temporal derivatives with Gauss-Seidel (GS) iterations were employed. The numerical outcomes were analyzed to get insights into superdiffusion, buffer, and memory exhibiting BM of [Ca2+] and NO systems. The conditions, events and mechanisms leading to dysfunctions in calcium and NO systems and causing different diseases like Parkinson’s were explored in neurons.
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