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The influence of noise exposure on the parameters of a convolution model of the compound action potential

机译:噪声暴露对复合动作电位卷积模型参数的影响

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摘要

The influence of noise exposure on the parameters of a convolution model of the compound action potential (CAP) was examined. CAPs were recorded in normal-hearing gerbils and in gerbils exposed to a 117 dB SPL 8 kHz band of noise for various durations. The CAPs were fitted with an analytic CAP to obtain the parameters representing the number of nerve fibers (N), the probability density function [P(t)] from a population of nerve fibers, and the single-unit waveform [U(t)]. The results showed that the analytic CAP fitted the physiologic CAPs well with correlations of approximately 0.90. A subsequent analysis using hierarchical linear modeling quantified the change in the parameters as a function of both signal level and hearing threshold. The results showed that noise exposure caused some of the parameter-level functions to simply shift along the signal level axis in proportion to the amount of hearing loss, whereas others shifted along the signal level axis and steepened. Significant changes occurred in the U(t) parameters, but they were not related to hearing threshold. These results suggest that noise exposure alters the physiology underlying the CAP, some of which can be explained by a simple lack of gain, whereas others may not.
机译:研究了噪声暴露对复合动作电位(CAP)卷积模型参数的影响。在正常听力的沙鼠和暴露于117 dB SPL 8 kHz噪声频带的沙鼠中,持续记录了CAP。 CAP装有分析性CAP,以获取代表神经纤维数量(N),神经纤维群的概率密度函数[P(t)]以及单个波形[U(t)]的参数。 ]。结果表明,分析CAP很好地拟合了生理CAP,相关系数约为0.90。随后进行的使用分层线性建模的分析将参数的变化量化为信号电平和听力阈值的函数。结果表明,噪声暴露导致某些参数级函数仅沿信号电平轴与听力损失量成比例地移动,而其他参数级函数沿信号电平轴移动并变陡。 U(t)参数发生了重大变化,但与听力阈值无关。这些结果表明,噪声暴露会改变CAP的生理机能,其中一些可以通过简单地缺乏增益来解释,而其他则可能没有。

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