神经刺激感知服从强度-持续时间曲线,主要由脉冲振幅驱动

Eric J. Earley, M. Ortiz-Catalán
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引用次数: 2

摘要

外周神经的刺激可以引起肢体远端或截肢部分的感觉,因此是一种很有前途的技术,为假肢提供感觉反馈。以这种方式提供的感官反馈可以通过调节刺激脉冲的频率、幅度和持续时间来赋予比例感,但是刺激幅度和脉冲持续时间之间的关系尚未表征。在这项研究中,我们证明了神经刺激感知密切遵循强度-持续时间曲线模型,并且在长达24个月的过程中通常是恒定的,其中位流变电流为113 $\mu\ mathbf{a}$,时间轴为193 $\mu\ mathbf{s}$。数据的单调性和凹凸性也被证明可以显著地预测流变基和时序估计的置信区间大小。对于单调性显著的数据,强度-持续时间曲线模型的拟合优度较高。此外,对刺激幅度和持续时间调制的心理测量反应建模显示,幅度调制的差异仅为7.7%,不到持续时间调制(18.3%)的一半。结果表明,强度-持续时间曲线框架描述了神经兴奋和感知阈值的关系,神经刺激脉冲幅度主要驱动调节感觉反馈的辨别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Neurostimulation Perception Obeys Strength-Duration Curves and is Primarily Driven by Pulse Amplitude
Stimulation of peripheral nerves can elicit sensations that are felt on distal or amputated portions of the limb, and thus is a promising technique to provide sensory feedback for prosthetic limbs. Sensory feedback provided in this way can confer a sense of proportionality by modulating the frequency, amplitude, and duration of stimulation pulses, however the relationship between stimulation amplitude and pulse duration has not been characterized. In this study, we demonstrate that neurostimulation perception closely follows strength-duration curve models and are generally constant over the course of up to 24 months, with a median rheobasic current of 113 $\mu \mathbf{A}$ and chronaxie of 193 $\mu\mathrm{s}$. Monotonicity and concavity of data are also demonstrated to significantly predict the confidence interval size for rheobase and chronaxie estimates. Goodness of fit for the strength-duration curve model was high for data which showed significant monotonicity. Furthermore, modeling the psychometric response of stimulation amplitude and duration modulation revealed that amplitude modulation has just-noticeable difference of 7.7%, less than half that of duration modulation at 18.3%. The results taken together suggest that the strength-duration curve framework describes both nerve excitation and perception threshold relationships, and that neurostimulation pulse amplitude primarily drives discrimination for modulating sensory feedback.
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