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一种对人工耳蜗刺激的听觉神经反应的快速、随机且自适应模型。

A fast, stochastic, and adaptive model of auditory nerve responses to cochlear implant stimulation.

作者信息

van Gendt M J, Briaire J J, Kalkman R K, Frijns J H M

机构信息

ENT-Department, Leiden University Medical Centre, PO Box 9600, 2300 RC, Leiden, The Netherlands.

ENT-Department, Leiden University Medical Centre, PO Box 9600, 2300 RC, Leiden, The Netherlands.

出版信息

Hear Res. 2016 Nov;341:130-143. doi: 10.1016/j.heares.2016.08.011. Epub 2016 Sep 2.

DOI:10.1016/j.heares.2016.08.011
PMID:27594099
Abstract

Cochlear implants (CIs) rehabilitate hearing impairment through direct electrical stimulation of the auditory nerve. New stimulation strategies can be evaluated using computational models. In this study, a computationally efficient model that accurately predicts auditory nerve responses to CI pulse train input was developed. A three-dimensional volume conduction and active nerve model developed at Leiden University Medical Center was extended with stochasticity, adaptation, and accommodation. This complete model includes spatial and temporal characteristics of both the cochlea and the auditory nerve. The model was validated by comparison with experimentally measured single fiber action potential responses to pulse trains published in the literature. The effects of pulse rate and pulse amplitude on spiking patterns were investigated. The modeled neural responses to CI stimulation were very similar to the single fiber action potential measurements in animal experiments. The model's responses to pulse train stimulation with respect to spatial location were also investigated. Adaptation was stronger at the borders of the stimulated area than in the center. By combining spatial details with long-term temporal components and a broad implementation of stochasticity a comprehensive model was developed that was validated for long duration electric stimulation of a wide range of pulse rates and amplitudes. The model can be used to evaluate auditory nerve responses to cochlear implant sound coding strategies.

摘要

人工耳蜗(CIs)通过直接电刺激听神经来恢复听力障碍。可以使用计算模型来评估新的刺激策略。在本研究中,开发了一种计算效率高的模型,该模型能准确预测听神经对人工耳蜗脉冲序列输入的反应。莱顿大学医学中心开发的三维容积传导和活性神经模型被扩展为包含随机性、适应性和适应性变化。这个完整的模型包括耳蜗和听神经的空间和时间特征。通过与文献中发表的对脉冲序列的实验测量单纤维动作电位反应进行比较,对该模型进行了验证。研究了脉冲频率和脉冲幅度对放电模式的影响。该模型对人工耳蜗刺激的神经反应与动物实验中的单纤维动作电位测量结果非常相似。还研究了该模型对脉冲序列刺激在空间位置方面的反应。在受刺激区域的边界处,适应性比中心更强。通过将空间细节与长期时间成分以及广泛应用的随机性相结合,开发了一个综合模型,该模型针对广泛的脉冲频率和幅度的长时间电刺激进行了验证。该模型可用于评估听神经对人工耳蜗声音编码策略的反应。

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Computational Modeling of Synchrony in the Auditory Nerve in Response to Acoustic and Electric Stimulation.听觉神经对声刺激和电刺激响应同步性的计算建模
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Simulated auditory nerve axon demyelination alters sensitivity and response timing to extracellular stimulation.模拟听觉神经轴突脱髓鞘会改变对细胞外刺激的敏感性和反应时间。
Hear Res. 2018 Apr;361:121-137. doi: 10.1016/j.heares.2018.01.014. Epub 2018 Feb 14.