The University of Texas at Dallas, Texas Biomedical Device Center, 800 West Campbell Road BSB11, Richardson, TX 75080, USA; The University of Texas at Dallas, School of Behavioral and Brain Sciences, 800 West Campbell Road BSB11, Richardson, TX 75080, USA.
The University of Texas at Dallas, Texas Biomedical Device Center, 800 West Campbell Road BSB11, Richardson, TX 75080, USA; The University of Texas at Dallas, School of Behavioral and Brain Sciences, 800 West Campbell Road BSB11, Richardson, TX 75080, USA.
Neuroscience. 2021 Nov 21;477:63-75. doi: 10.1016/j.neuroscience.2021.10.003. Epub 2021 Oct 8.
Intense noise exposure is a leading cause of hearing loss, which results in degraded speech sound discrimination ability, particularly in noisy environments. The development of an animal model of speech discrimination deficits due to noise induced hearing loss (NIHL) would enable testing of potential therapies to improve speech sound processing. Rats can accurately detect and discriminate human speech sounds in the presence of quiet and background noise. Further, it is known that profound hearing loss results in functional deafness in rats. In this study, we generated rats with a range of impairments which model the large range of hearing impairments observed in patients with NIHL. One month after noise exposure, we stratified rats into three distinct deficit groups based on their auditory brainstem response (ABR) thresholds. These groups exhibited markedly different behavioral outcomes across a range of tasks. Rats with moderate hearing loss (30 dB shifts in ABR threshold) were not impaired in speech sound detection or discrimination. Rats with severe hearing loss (55 dB shifts) were impaired at discriminating speech sounds in the presence of background noise. Rats with profound hearing loss (70 dB shifts) were unable to detect and discriminate speech sounds above chance level performance. Across groups, ABR threshold accurately predicted behavioral performance on all tasks. This model of long-term impaired speech discrimination in noise, demonstrated by the severe group, mimics the most common clinical presentation of NIHL and represents a useful tool for developing and improving interventions to target restoration of hearing.
强烈的噪声暴露是听力损失的主要原因,导致语音辨别能力下降,尤其是在嘈杂环境中。建立由于噪声性听力损失(NIHL)导致的语音辨别缺陷动物模型,将使潜在的治疗方法得以测试,以改善语音处理。大鼠可以在安静和背景噪声存在的情况下准确地检测和辨别人类语音。此外,众所周知,深度听力损失会导致大鼠功能性耳聋。在这项研究中,我们产生了一系列听力损伤的大鼠,这些大鼠模拟了 NIHL 患者中观察到的广泛听力损伤。在噪声暴露一个月后,我们根据听觉脑干反应(ABR)阈值将大鼠分为三个不同的缺陷组。这些组在一系列任务中表现出明显不同的行为结果。听力中度损伤(ABR 阈值变化 30dB)的大鼠在语音检测或辨别方面没有受损。听力严重损伤(ABR 阈值变化 55dB)的大鼠在背景噪声存在时辨别语音的能力受损。听力深度损伤(ABR 阈值变化 70dB)的大鼠无法在高于机会水平的表现上检测和辨别语音。在所有组中,ABR 阈值准确预测了所有任务的行为表现。这种严重组表现出的长期噪声中语音辨别受损的模型,模拟了 NIHL 最常见的临床表现,是开发和改进以听力恢复为目标的干预措施的有用工具。