Can ECAP measures be used for totally objective programming of cochlear implants?

Can ECAP measures be used for totally objective programming of cochlear implants?
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DOI:
10.1007/s10162-013-0417-9
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发表时间:
2013-12
影响因子:
2.4
通讯作者:
Kluk, Karolina
Kluk, Karolina
中科院分区:
医学2区
文献类型:
--
作者:
McKay, Colette M.;Chandan, Kirpa;Akhoun, Idrick;Siciliano, Catherine;Kluk, Karolina

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对8名人工耳蜗植入受试者进行了一项实验,以研究使用电诱发复合动作电位(ECAP)阈值以外的措施来预测行为阈值随刺激速率变化的方式的可行性,因此,它们是否可以在不与行为措施相结合的情况下用于确定人工耳蜗植入的程序刺激水平。响度模型表明,两个外周神经响应特性有助于阈值与速率函数的斜率:神经活动对每个刺激脉冲的方式随着速率的增加而减少,以及神经响应与刺激电流函数的斜率。测量了与这两个特性相关的ECAP措施:ECAP振幅随刺激速率减小的方式和ECAP振幅增长函数。响度模型(包括时间整合和两个神经反应特性)和回归分析被用来评估是否ECAP措施可以预测的平均斜率的行为阈值与当前的功能,以及是否在措施的个体差异可以预测的阈值函数的斜率的个体差异。当使用平均ECAP数据时,该模型可以很好地预测行为阈值随速率增加的平均变化。然而,个别变化的阈值与速率函数的斜率没有很好地预测ECAP数据的个别变化。得出的结论是,这些ECAP措施是没有用的完全客观的编程,可能是因为它们不准确地反映神经响应特性的模型假设,或在电流水平远高于阈值电流测量。
An experiment was conducted with eight cochlear implant subjects to investigate the feasibility of using electrically evoked compound action potential (ECAP) measures other than ECAP thresholds to predict the way that behavioral thresholds change with rate of stimulation, and hence, whether they can be used without combination with behavioral measures to determine program stimulus levels for cochlear implants. Loudness models indicate that two peripheral neural response characteristics contribute to the slope of the threshold versus rate function: the way that neural activity to each stimulus pulse decreases as rate increases and the slope of the neural response versus stimulus current function. ECAP measures related to these two characteristics were measured: the way that ECAP amplitude decreases with stimulus rate and the ECAP amplitude growth function, respectively. A loudness model (incorporating temporal integration and the two neural response characteristics) and regression analyses were used to evaluate whether the ECAP measures could predict the average slope of the behavioral threshold versus current function and whether individual variation in the measures could predict individual variation in the slope of the threshold function. The average change of behavioral threshold with increasing rate was well predicted by the model when using the average ECAP data. However, the individual variations in the slope of the thresholds versus rate functions were not well predicted by individual variations in ECAP data. It was concluded that these ECAP measures are not useful for fully objective programming, possibly because they do not accurately reflect the neural response characteristics assumed by the model, or are measured at current levels much higher than threshold currents.
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