Department of Speech, Language, and Hearing Sciences, Purdue University, West Lafayette, IN, 47907 USA; Department of Neurobiology, University of Pittsburgh, Pittsburgh, PA, 15261 USA.
Department of Speech, Language, and Hearing Sciences, Purdue University, West Lafayette, IN, 47907 USA; Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, 47907 USA.
Hear Res. 2022 Dec;426:108586. doi: 10.1016/j.heares.2022.108586. Epub 2022 Jul 22.
Listeners with sensorineural hearing loss (SNHL) have substantial perceptual deficits, especially in noisy environments. Unfortunately, speech-intelligibility models have limited success in predicting the performance of listeners with hearing loss. A better understanding of the various suprathreshold factors that contribute to neural-coding degradations of speech in noisy conditions will facilitate better modeling and clinical outcomes. Here, we highlight the importance of one physiological factor that has received minimal attention to date, termed distorted tonotopy, which refers to a disruption in the mapping between acoustic frequency and cochlear place that is a hallmark of normal hearing. More so than commonly assumed factors (e.g., threshold elevation, reduced frequency selectivity, diminished temporal coding), distorted tonotopy severely degrades the neural representations of speech (particularly in noise) in single- and across-fiber responses in the auditory nerve following noise-induced hearing loss. Key results include: 1) effects of distorted tonotopy depend on stimulus spectral bandwidth and timbre, 2) distorted tonotopy increases across-fiber correlation and thus reduces information capacity to the brain, and 3) its effects vary across etiologies, which may contribute to individual differences. These results motivate the development and testing of noninvasive measures that can assess the severity of distorted tonotopy in human listeners. The development of such noninvasive measures of distorted tonotopy would advance precision-audiological approaches to improving diagnostics and rehabilitation for listeners with SNHL.
患有感音神经性听力损失(SNHL)的听众存在明显的感知缺陷,尤其是在嘈杂环境中。不幸的是,语音可懂度模型在预测听力损失听众的表现方面收效甚微。更好地理解导致语音在嘈杂环境中神经编码退化的各种超阈值因素,将有助于更好地建模和改善临床结果。在这里,我们强调了一个生理因素的重要性,该因素迄今为止受到的关注很少,称为扭曲的音调拓扑,它是指正常听力中在声频和耳蜗位置之间的映射中断。与通常假设的因素(例如阈值升高、频率选择性降低、时间编码减弱)相比,扭曲的音调拓扑在噪声引起的听力损失后,在单纤维和跨纤维反应中严重降低了语音的神经表示(尤其是在噪声中)。主要结果包括:1)扭曲的音调拓扑的影响取决于刺激的光谱带宽和音色,2)扭曲的音调拓扑增加了跨纤维相关性,从而降低了向大脑的信息容量,以及 3)其影响因病因而异,这可能导致个体差异。这些结果促使人们开发和测试可以评估人类听众中扭曲的音调拓扑严重程度的非侵入性测量方法。扭曲的音调拓扑的这种非侵入性测量方法的发展将推进精确听觉方法,以改善 SNHL 听众的诊断和康复。