Electrode Spacing and Current Distribution in Electrical Stimulation of Peripheral Nerve: A Computational Modeling Study using Realistic Nerve Models.

Electrode Spacing and Current Distribution in Electrical Stimulation of Peripheral Nerve: A Computational Modeling Study using Realistic Nerve Models.
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DOI:
10.1109/embc46164.2021.9631068
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发表时间:
2021-11
期刊:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
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外周神经的电刺激长期以来一直被使用,并且被证明在恢复由疾病或损伤引起的功能方面是有效的。电极的准确放置对于适当地刺激神经并产生期望的结果通常是至关重要的。计算建模正在成为一个重要的工具,可以指导这种植入式神经刺激设备的快速开发和优化。在这里,我们开发了一个异构的非常高分辨率的计算模型的一个现实的周围神经刺激的电流源通过袖带电极。然后,我们计算了神经内的电流分布,并研究了电极间距对电流穿透的影响。在本研究中,我们首先描述了模型的实现和校准,然后我们详细介绍了我们用来计算电流分布的方法,并将其应用于表征电极距离对电流渗透的影响。我们的计算结果表明,当源和返回袖带电极被放置在彼此接近时,在神经中的穿透深度比电极距离较大的情况下浅。本研究概述了所提出的计算方法和解剖学上正确的高分辨率模型在指导和优化实验神经刺激方案中的实用性。
Electrical stimulation of peripheral nerves has long been used and proven effective in restoring function caused by disease or injury. Accurate placement of electrodes is often critical to properly excite the nerve and yield the desired outcome. Computational modeling is becoming an important tool that can guide the rapid development and optimization of such implantable neural stimulation devices. Here, we developed a heterogeneous very high-resolution computational model of a realistic peripheral nerve stimulated by a current source through cuff electrodes. We then calculated the current distribution inside the nerve and investigated the effect of electrodes spacing on current penetration. In the present study, we first describe model implementation and calibration; we then detail the methodology we use to calculate current distribution and apply it to characterize the effect of electrodes distance on current penetration. Our computational results indicate that when the source and return cuff electrodes are placed close to each other, the penetration depth in the nerve is shallower than the cases in which the electrode distance is larger. This study outlines the utility of the proposed computational methods and anatomically correct high-resolution models in guiding and optimizing experimental nerve stimulation protocols.