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首页> 外文期刊>Biological Cybernetics >Numerical simulation for a neurotransmitter transport model in the axon terminal of a presynaptic neuron
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Numerical simulation for a neurotransmitter transport model in the axon terminal of a presynaptic neuron

机译:突触前神经元轴突末端神经递质运输模型的数值模拟

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Neurotransmitters in the terminal bouton of a presynaptic neuron are stored in vesicles, which diffuse in the cytoplasm and, after a stimulation signal is received, fuse with the membrane and release its contents into the synaptic cleft. It is commonly assumed that vesicles belong to three pools whose content is gradually exploited during the stimulation. This article presents a model that relies on the assumption that the release ability is associated with the vesicle location in the bouton. As a modeling tool, partial differential equations are chosen as they allow one to express the continuous dependence of the unknown vesicle concentration on both the time and space variables. The model represents the synthesis, concentration-gradient-driven diffusion, and accumulation of vesicles as well as the release of neuroactive substances into the cleft. An initial and boundary value problem is numerically solved using the finite element method (FEM) and the simulation results are presented and discussed. Simulations were run for various assumptions concerning the parameters that govern the synthesis and diffusion processes. The obtained results are shown to be consistent with those obtained for a compartment model based on ordinary differential equations. Such studies can be helpful in gaining a deeper understanding of synaptic processes including physiological pathologies. Furthermore, such mathematical models can be useful for estimating the biological parameters that are included in a model and are hard or impossible to measure directly.
机译:突触前神经元末梢系中的神经递质储存在囊泡中,在细胞质中扩散,并在收到刺激信号后与膜融合,并将其内容物释放到突触间隙中。通常认为,囊泡属于三个池,在刺激过程中其含量逐渐被利用。本文提出了一个模型,该模型基于以下假设:释放能力与钮扣中的囊泡位置相关。作为一种建模工具,选择了偏微分方程,因为它们允许人们表达未知囊泡浓度对时间和空间变量的连续依赖性。该模型代表囊泡的合成,浓度梯度驱动的扩散和积累,以及神经活性物质向裂隙的释放。利用有限元方法(FEM)数值求解了初值和边值问题,并给出了仿真结果并进行了讨论。针对控制合成和扩散过程的参数的各种假设进行了仿真。结果表明,所得结果与基于常微分方程的车厢模型所得结果一致。此类研究有助于深入了解突触过程,包括生理病理。此外,这样的数学模型对于估计包括在模型中并且难以或不可能直接测量的生物学参数可能是有用的。

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