当前位置: X-MOL 学术J. Neurosci. Methods › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Mediating different-diameter Aβ nerve fibers using a biomimetic 3D TENS computational model.
Journal of Neuroscience Methods ( IF 3 ) Pub Date : 2020-08-14 , DOI: 10.1016/j.jneumeth.2020.108891
Yimeng Ge 1 , Shuan Ye 1 , Kaihua Zhu 1 , Tianruo Guo 2 , Diansan Su 3 , Dingguo Zhang 4 , Yao Chen 1 , Xinyu Chai 1 , Xiaohong Sui 1
Affiliation  

Background

Significant progress has been made over the last 50 years in the design, development and testing of transcutaneous electrical nerve stimulation (TENS) in mediating different levels of tactile sensations. However, without knowing how best to stimulate the nerve fibers, the elicited sensation quality will always remain poor and unnatural.

New Method

A new biomimetic 3D TENS computational model is developed to quantify the neural activation mechanism with varied surface electrodes. This model includes seven-layered anatomical structure of the forearm and biophysically-detailed myelinated Aβ fibers. The Aβ-fiber diameters from 1.5 - 7.5 μm were randomly distributed beneath the skin to mimic the physiologically-realistic fiber population. The arithmetic averaging algorithm and Gaussian filter were adopted to identify the sensation center and to quantify sensation intensities under different stimulation conditions.

Results

Fibers larger than 4.5 μm can usually be activated producing tactile sensations such as light touch, pressure, buzz, and vibration. While, fibers with diameters of 3.5 and 3 μm can only be excited at uncomfortable numb and pain sensations. The resulted modelling predictions match the recent psychophysical experimental data.

Comparison with Existing Method(s)

The new TENS model is more physiologically-realistic by introducing a detailed morphological information and key ionic mechanisms in nerve fibers.

Conclusions

Our results indicate that TENS may be a promising method to target functionally-distinct neural pathways in an effort to improve the elicited tactile sensations quality with electrical stimulation. This work provides a promising platform of discovering neural mechanisms under TENS.



中文翻译:

使用仿生3D TENS计算模型介导不同直径的Aβ神经纤维。

背景

在过去的50年中,在介导不同水平的触感方面,经皮电神经刺激(TENS)的设计,开发和测试取得了重大进展。然而,在不知道如何最好地刺激神经纤维的情况下,引起的感觉质量将始终保持差劲和不自然。

新方法

开发了一种新的仿生3D TENS计算模型来量化具有变化表面电极的神经激活机制。该模型包括前臂的七层解剖结构和生物物理详细的髓鞘Aβ纤维。1.5-7.5μm的Aβ纤维直径随机分布在皮肤下,以模仿生理上现实的纤维种群。采用算术平均算法和高斯滤波器来识别不同刺激条件下的感觉中心并量化感觉强度。

结果

大于4.5μm的纤维通常可以被激活,从而产生触觉,例如轻触,压力,嗡嗡声和振动。同时,直径为3.5和3μm的纤维只能以不舒适的麻木和疼痛感被激发。所得的建模预测与最近的心理物理实验数据相符。

与现有方法的比较

通过在神经纤维中引入详细的形态学信息和关键的离子机制,新的TENS模型更加符合生理学。

结论

我们的结果表明,TENS可能是靶向功能不同的神经通路的一种有前途的方法,旨在通过电刺激来改善所引起的触觉质量。这项工作为发现TENS下的神经机制提供了一个有前途的平台。

更新日期:2020-09-02
down
wechat
bug