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通过优化加性噪声对视网膜神经节细胞进行电刺激建模以降低阈值和能耗。

Modeling electrical stimulation of retinal ganglion cell with optimizing additive noises for reducing threshold and energy consumption.

作者信息

Wu Jing, Jin Menghua, Qiao Qingli

机构信息

School of Biomedical Engineering & Technology, Tianjin Medical University, Tianjin, 300070, China.

出版信息

Biomed Eng Online. 2017 Mar 27;16(1):38. doi: 10.1186/s12938-017-0333-z.

Abstract

BACKGROUND

Epiretinal prosthesis is one device for the treatment of blindness, which target retinal ganglion cells (RGCs) by electrodes on retinal surface. The stimulating current of epiretinal prosthesis is an important factor that influences the safety threshold and visual perception. Stochastic resonance (SR) can be used to enhance the detection and transmission of subthreshold stimuli in neurons. Here, it was assumed that SR was a potential way to improve the performance of epiretinal prosthesis. The effect of noises on the response of RGCs to electrical stimulation and the energy of stimulating current was studied based on a RGC model.

METHODS

The RGC was modeled as a multi-compartment model consisting of dendrites and its branches, soma and axon. To evoke SR, a subthreshold signal, a series of bipolar rectangular pulse sequences, plus stochastic biphasic pulse sequences as noises, were used as a stimulus to the model. The SR-type behavior in the model was characterized by a "power norm" measure. To decrease energy consumption of the stimulation waveform, the stochastic biphasic pulse sequences were only added to the cathode and anode phase of the subthreshold pulse and the noise parameters were optimized by using a genetic algorithm (GA).

RESULTS

When certain intensity of noise is added to the subthreshold signal, RGC model can fire. With the noise's RMS amplitudes increased, more spikes were elicited and the curve of power norm presents the inverted U-like graph. The larger pulse width of stochastic biphasic pulse sequences resulted in higher power norm. The energy consumption and charges of the single bipolar rectangular pulse without noise in threshold level are 468.18 pJ, 15.30 nC, and after adding optimized parameters's noise to the subthreshold signal, they became 314.8174 pJ, 11.9281 nC and were reduced by 32.8 and 22.0%, respectively.

CONCLUSIONS

The SR exists in the RGC model and can enhance the representation of RGC model to the subthreshold signal. Adding the stochastic biphasic pulse sequences to the cathode and anode phase of the subthreshold signal helps to reduce stimulation threshold, energy consumption and charge of RGC stimulation. These may be helpful for improving the performance of epiretinal prosthesis.

摘要

背景

视网膜外假体是一种治疗失明的装置,其通过视网膜表面的电极靶向视网膜神经节细胞(RGCs)。视网膜外假体的刺激电流是影响安全阈值和视觉感知的重要因素。随机共振(SR)可用于增强神经元中亚阈值刺激的检测和传递。在此,假设随机共振是提高视网膜外假体性能的一种潜在方法。基于RGC模型研究了噪声对RGCs对电刺激反应及刺激电流能量的影响。

方法

将RGC建模为一个由树突及其分支、胞体和轴突组成的多房室模型。为诱发随机共振,使用一个亚阈值信号(一系列双相矩形脉冲序列)加上随机双相脉冲序列作为噪声作为模型的刺激。模型中的随机共振型行为通过“功率范数”测量来表征。为降低刺激波形的能量消耗,仅将随机双相脉冲序列添加到亚阈值脉冲的阴极和阳极相位,并使用遗传算法(GA)优化噪声参数。

结果

当向亚阈值信号添加一定强度的噪声时,RGC模型能够放电。随着噪声的均方根振幅增加,引发的尖峰更多,功率范数曲线呈现倒U形。随机双相脉冲序列的脉冲宽度越大,功率范数越高。阈值水平下无噪声的单个双相矩形脉冲的能量消耗和电荷量分别为468.18 pJ、15.30 nC,在向亚阈值信号添加优化参数的噪声后,它们变为314.8174 pJ、11.9281 nC,分别降低了32.8%和22.0%。

结论

随机共振存在于RGC模型中,并且可以增强RGC模型对亚阈值信号的表征。将随机双相脉冲序列添加到亚阈值信号的阴极和阳极相位有助于降低RGC刺激的阈值、能量消耗和电荷量。这些可能有助于提高视网膜外假体的性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f91d/5368944/505f9d53d93e/12938_2017_333_Fig1_HTML.jpg

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