评估人工耳蜗使用者神经健康的电生理与行为学指标：一项计算模拟研究
Evaluating electrophysiological and behavioral measures of neural health in cochlear implant users: a computational simulation study
AI总结：
本研究利用结合3D有限元与神经元模型的方法，评估人工耳蜗使用者神经健康的间接测量指标，发现四极与单极刺激阈值差是估计神经健康的有效方法。
摘要：
神经健康是指听觉神经纤维（ANFs）的状态与功能，这对于将声音信号从耳蜗传递至大脑至关重要。然而，受限于当前技术，神经健康无法被直接测量。我们利用计算模型评估了用于估计ANF神经健康的不同间接方法。在电刺激植入耳蜗的计算模型中，我们评估了两种估计神经健康的不同指标：(i)聚焦四极刺激的阈值水平，以及(ii)不同相位间间隙（IPGs）下电诱发复合动作电位（eCAP）幅度增长函数的变化。该模型结合了3D有限元方法模型、具有真实空间分布的ANF几何结构，以及一个神经元模型（包括现有的现象学单ANF模型和eCAP模型）。我们的实验模拟了不同的神经健康状况（健康、萎缩和退化），以建模耳蜗不同位置的死区。计算实验结果表明，与单极刺激阈值相比，聚焦四极刺激的阈值对神经健康缺陷更为敏感。从我们的数据来看，四极刺激与单极刺激之间的阈值差异似乎是衡量神经健康状况的一个有前景的指标。然而，eCAP IPG斜率和偏移效应的结果与神经健康状况并不一致地相关。我们的结果表明，四极与单极刺激的阈值差异是估计神经健康的一种可能方法。意义：本研究通过新颖的计算模型，加深了对神经健康和死区的理解，为神经健康估计方法做出了新贡献。
英文摘要：
Neural health refers to the condition and functionality of the auditory nerve fibers (ANFs),which are crucial for transmitting sound signals from the cochlea to the brain.However, neural health cannot be directly measured due to current technological limitations. We utilize a computational model to evaluate different indirect methods for estimating ANF neural health.Two distinct measures for estimating neural health,(i)the threshold levels for focused quadrupolar stimulation and (ii) the change in the electrically evoked compound action potential (eCAP) amplitude growth function for different inter-phase gaps (IPGs), were evaluated in a computational model of an electrically stimulated implanted cochlea. The model combined a 3D finite element method model, an ANF geometry with a realistic spatial distribution, and a neuron model, including an existing phenomenological single-ANF model and an eCAP model. Our experiments simulated different neural health conditions (healthy, shrinked, and degenerated) to model dead regions in different locations of the cochlea.The results from the computational experiments demonstrated that the threshold levels with focused quadrupolar stimulation were more sensitive to neural health deficits than thresholds with monopolar stimulation. From our data, the difference in threshold levels between quadrupolar and monopolar stimulation seems to be a promising measure of neural health status. However, the results from the eCAP IPG slope and offset effects were not consistently associated with neural health conditions.Our results suggest that the difference in threshold levels with quadrupolar and monopolar stimulation is a possible method for estimating neural health. Significance: This study enhances the understanding of neural health and dead regions through a novel computational model, contributing to new approaches for neural health estimation.
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