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Predicted effects of pulse width programming in spinal cord stimulation: a mathematical modeling study

机译:脉冲宽度编程对脊髓刺激的预测作用:数学模型研究

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摘要

To understand the theoretical effects of pulse width (PW) programming in spinal cord stimulation (SCS), we implemented a mathematical model of electrical fields and neural activation in SCS to gain insight into the effects of PW programming. The computational model was composed of a finite element model for structure and electrical properties, coupled with a nonlinear double-cable axon model to predict nerve excitation for different myelinated fiber sizes. Mathematical modeling suggested that mediolateral lead position may affect chronaxie and rheobase values, as well as predict greater activation of medial dorsal column fibers with increased PW. These modeling results were validated by a companion clinical study. Thus, variable PW programming in SCS appears to have theoretical value, demonstrated by the ability to increase and even ‘steer’ spatial selectivity of dorsal column fiber recruitment. It is concluded that the computational SCS model is a valuable tool to understand basic mechanisms of nerve fiber excitation modulated by stimulation parameters such as PW and electric fields.
机译:为了了解脉冲宽度(PW)编程在脊髓刺激(SCS)中的理论效果,我们在SCS中实现了电场和神经激活的数学模型,以深入了解PW编程的效果。该计算模型由结构和电特性的有限元模型以及非线性双电缆轴突模型组成,以预测不同大小的有髓纤维的神经兴奋性。数学模型表明,中外侧导联位置可能会影响时轴和流变基础值,并预测随着PW的增加,内侧背柱纤维的活化程度也会更高。这些模拟结果已通过伴随的临床研究验证。因此,SCS中可变的PW编程似乎具有理论价值,这可以通过增加甚至“引导”背柱纤维募集的空间选择性来证明。结论是,计算的SCS模型是了解受刺激参数(例如PW和电场)调制的神经纤维兴奋的基本机制的有价值的工具。

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