残余听力人工耳蜗使用者电诱发或声诱发复合动作电位的计算模型
A Computational Model of the Electrically or Acoustically Evoked Compound Action Potential in Cochlear Implant Users with Residual Hearing
AI总结：
本文提出融合三维有限元耳蜗、单神经元放电和多室神经纤维模型的计算框架，可模拟电、声及电声联合刺激下的 CAP，并验证其形态、兴奋扩散、振幅增长与声抑制效应。
摘要：
目的：在具有残余声学听力的人工耳蜗使用者中，复合动作电位（CAP）可由声学（aCAP）或电（eCAP）刺激诱发，并通过植入体的电极记录。我们提出一种新型计算模型，用于模拟人体内的 aCAP 和 eCAP，并考虑听神经中发生的电-声联合刺激之间的相互作用。方法：该模型由三个部分组成：植入耳蜗的三维有限元方法模型、用于电-声刺激的现象学单神经元放电模型，以及用于模拟单个神经纤维对 CAP 贡献的生理性多室神经元模型。结果：CAP 形态与已知的人体结果高度相似。通过沿人工耳蜗电极阵列改变记录电极，从 eCAP 获得的兴奋扩散与已发表的人体数据一致。预测的 CAP 振幅增长函数在很大程度上与人体数据相似，但声学刺激的绝对 CAP 振幅存在偏差。对于不同的掩蔽声频率和探针刺激电极，该模型再现了同时呈现声学短纯音对 eCAP 的抑制作用。结论：所提出的模型能够模拟对电、声或电-声联合刺激的 CAP 响应。它考虑了耳蜗内刺激和记录部位的依赖性，以及听神经中电刺激与声刺激之间的相互作用。意义：该模型增强了对 CAP 和外周电-声相互作用的理解。未来可用于研究客观方法，例如通过 aCAP 或 eCAP 评估听阈或估计神经健康状况。
英文摘要：
Objective: In cochlear implant users with residual acoustic hearing, compound action potentials (CAPs) can be evoked by acoustic (aCAP) or electric (eCAP) stimulation and recorded through the electrodes of the implant. We propose a novel computational model to simulate aCAPs and eCAPs in humans, considering the interaction between combined electric-acoustic stimulation that occurs in the auditory nerve. Methods: The model consists of three components: a 3D finite element method model of an implanted cochlea, a phenomenological single-neuron spiking model for electric-acoustic stimulation, and a physiological multi-compartment neuron model to simulate the individual nerve fiber contributions to the CAP. Results: The CAP morphologies closely resembled those known from humans. The spread of excitation derived from eCAPs by varying the recording electrode along the cochlear implant electrode array was consistent with published human data. The predicted CAP amplitude growth functions largely resembled human data, with deviations in absolute CAP amplitudes for acoustic stimulation. The model reproduced the suppression of eCAPs by simultaneously presented acoustic tone bursts for different masker frequencies and probe stimulation electrodes. Conclusion: The proposed model can simulate CAP responses to electric, acoustic, or combined electric-acoustic stimulation. It considers the dependence on stimulation and recording sites in the cochlea, as well as the interaction between electric and acoustic stimulation in the auditory nerve. Significance: The model enhances comprehension of CAPs and peripheral electric-acoustic interaction. It can be used in the future to investigate objective methods, such as hearing threshold assessment or estimation of neural health through aCAPs or eCAPs.
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