Dept. Communication Sciences and Disorders, University of Iowa, Iowa City, IA, 52242, USA.
Dept. Otolaryngology - Head and Neck Surgery, University of Iowa Hospitals and Clinics, Iowa City, IA, 52242, USA.
Trends Hear. 2022 Jan-Dec;26:23312165221141143. doi: 10.1177/23312165221141143.
Auditory selective attention is a crucial top-down cognitive mechanism for understanding speech in noise. Cochlear implant (CI) users display great variability in speech-in-noise performance that is not easily explained by peripheral auditory profile or demographic factors. Thus, it is imperative to understand if auditory cognitive processes such as selective attention explain such variability. The presented study directly addressed this question by quantifying attentional modulation of cortical auditory responses during an attention task and comparing its individual differences with speech-in-noise performance. In our attention experiment, participants with CI were given a pre-stimulus visual cue that directed their attention to either of two speech streams and were asked to select a deviant syllable in the target stream. The two speech streams consisted of the female voice saying "Up" five times every 800 ms and the male voice saying "Down" four times every 1 s. The onset of each syllable elicited distinct event-related potentials (ERPs). At each syllable onset, the difference in the amplitudes of ERPs between the two attentional conditions (attended - ignored) was computed. This ERP amplitude difference served as a proxy for attentional modulation strength. Our group-level analysis showed that the amplitude of ERPs was greater when the syllable was attended than ignored, exhibiting that attention modulated cortical auditory responses. Moreover, the strength of attentional modulation showed a significant correlation with speech-in-noise performance. These results suggest that the attentional modulation of cortical auditory responses may provide a neural marker for predicting CI users' success in clinical tests of speech-in-noise listening.
听觉选择性注意是理解噪声中言语的一种至关重要的自上而下的认知机制。人工耳蜗(CI)使用者在噪声中言语表现出很大的可变性,这很难用外围听觉特征或人口统计学因素来解释。因此,了解听觉认知过程(如选择性注意)是否能解释这种可变性是至关重要的。本研究通过在注意任务中量化皮质听觉反应的注意调制,并将其与噪声中言语表现的个体差异进行比较,直接解决了这个问题。在我们的注意实验中,CI 参与者接受了一个预刺激的视觉提示,该提示将他们的注意力引导到两个语音流中的一个,并要求他们在目标流中选择一个偏离的音节。两个语音流由女性声音说“Up”五次,每 800 毫秒一次,男性声音说“Down”四次,每 1 秒一次。每个音节的起始都会引发明显的事件相关电位(ERPs)。在每个音节的起始时,计算两个注意条件(注意-忽略)之间 ERP 幅度的差异。这个 ERP 幅度差异作为注意调制强度的代理。我们的组级分析表明,当音节被注意到时,ERP 的幅度大于被忽略时,这表明注意调制了皮质听觉反应。此外,注意调制的强度与噪声中言语表现显著相关。这些结果表明,皮质听觉反应的注意调制可能为预测 CI 用户在噪声中言语听力临床测试中的成功提供一个神经标记。