Predicting Perception in Noise Using Cortical Auditory Evoked Potentials
Predicting Perception in Noise Using Cortical Auditory Evoked Potentials
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DOI：
10.1007/s10162-013-0415-y
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发表时间：
2013-12-01
影响因子：
2.4
通讯作者：
Gille, Sun Mi
中科院分区：
文献类型：
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作者：
Billings, Curtis J.;McMillan, Garnett P.;Gille, Sun Mi
背景噪声中的语音感知是个体和健康状况（例如，听力障碍、衰老等）。行为和生理的措施已被用来了解的重要因素，有助于感知噪声能力。生理测量的增加提供了关于听觉系统中的信噪比编码的额外信息，并且可能有助于澄清个体之间的噪声感知能力的一些可变性。对15名听力正常的年轻人进行了电生理学和行为学测试，以确定（1）信噪比（SNR）和信号水平的影响，以及（2）皮层听觉诱发电位（CAEP）在多大程度上可以预测噪声中的感知。三个相关/回归方法被用来确定如何以及CAEP预测行为。SNR的主要影响被发现的电生理和语音感知措施，而信号电平的影响，一般只被发现用于语音测试。这些结果表明，当信号在噪声中呈现时，对SNR线索的敏感性掩盖了信号电平线索的任何编码。电生理学和行为测量密切相关。最好的生理预测因子（例如，CAEP波的潜伏期、振幅和面积）（理解50%句子的SNR）是N1潜伏期和N1振幅测量。此外，通过70 dB信号/5 dB SNR CAEP条件可以最好地预测性能。在未来的研究中，重要的是要确定在噪声中难以理解语音的人群（如听力障碍或年龄相关缺陷的人群）的电生理和行为之间的关系。
Speech perception in background noise is a common challenge across individuals and health conditions (e.g., hearing impairment, aging, etc.). Both behavioral and physiological measures have been used to understand the important factors that contribute to perception-in-noise abilities. The addition of a physiological measure provides additional information about signal-in-noise encoding in the auditory system and may be useful in clarifying some of the variability in perception-in-noise abilities across individuals. Fifteen young normal-hearing individuals were tested using both electrophysiology and behavioral methods as a means to determine (1) the effects of signal-to-noise ratio (SNR) and signal level and (2) how well cortical auditory evoked potentials (CAEPs) can predict perception in noise. Three correlation/regression approaches were used to determine how well CAEPs predicted behavior. Main effects of SNR were found for both electrophysiology and speech perception measures, while signal level effects were found generally only for speech testing. These results demonstrate that when signals are presented in noise, sensitivity to SNR cues obscures any encoding of signal level cues. Electrophysiology and behavioral measures were strongly correlated. The best physiological predictors (e.g., latency, amplitude, and area of CAEP waves) of behavior (SNR at which 50 % of the sentence is understood) were N1 latency and N1 amplitude measures. In addition, behavior was best predicted by the 70-dB signal/5-dB SNR CAEP condition. It will be important in future studies to determine the relationship of electrophysiology and behavior in populations who experience difficulty understanding speech in noise such as those with hearing impairment or age-related deficits.