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A Unified Frequency Domain Model to Study the Effect of Demyelination on Axonal Conduction:

机译:研究脱髓鞘对轴突传导的影响的统一频域模型:

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Multiple sclerosis is a disease caused by demyelination of nerve fibers. In order to determine the loss of signal with the percentage of demyelination, we need to develop models that can simulate this effect. Existing time-based models does not provide a method to determine the influences of demyelination based on simulation results. Our goal is to develop a system identification approach to generate a transfer function in the frequency domain. The idea is to create a unified modeling approach for neural action potential propagation along the length of an axon containing number of Nodes of Ranvier (N). A system identification approach has been used to identify a transfer function of the classical Hodgkin-Huxley equations for membrane voltage potential. Using this approach, we model cable properties and signal propagation along the length of the axon with N node myelination. MATLAB/ Simulink platform is used to analyze an N node-myelinated neuronal axon. The ability to transfer function in the frequency domain will help reduce effort and will give a much more realistic feel when compared to the classical time-based approach. Once a transfer function is identified, the conduction as a cascade of each linear time invariant system-based transfer function can be modeled. Using this approach, future studies can model the loss of myelin in various parts of nervous system.
机译:多发性硬化症是由神经纤维脱髓鞘引起的疾病。为了确定具有脱髓鞘百分比的信号损失,我们需要开发可以模拟这种效应的模型。现有的基于时间的模型没有提供基于仿真结果确定脱髓鞘影响的方法。我们的目标是开发一种系统识别方法,以在频域中生成传递函数。这个想法是为神经动作电位沿着包​​含Ranvier(N)个节点的轴突的长度传播创建统一的建模方法。已经使用系统识别方法来识别膜电位的经典Hodgkin-Huxley方程的传递函数。使用这种方法,我们对具有N节点髓鞘化的电缆特性和沿着轴突长度的信号传播进行建模。 MATLAB / Simulink平台用于分析N节点有髓神经元轴突。与经典的基于时间的方法相比,在频域中传递函数的能力将有助于减少工作量,并提供更加逼真的感觉。一旦确定了传递函数,就可以对作为每个线性时不变系统传递函数的级联的传导进行建模。使用这种方法,未​​来的研究可以模拟神经系统各个部位髓磷脂的损失。

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