PDF(Pubmed)
Abstract：
Cortical auditory evoked potentials (CAEPs) indicate that noise degrades auditory neural encoding, causing decreased peak amplitude and increased peak latency. Different types of noise affect CAEP responses, with greater informational masking causing additional degradation. In noisy conditions, attention can improve target signals\' neural encoding, reflected by an increased CAEP amplitude, which may be facilitated through various inhibitory mechanisms at both pre-attentive and attentive levels. While previous research has mainly focused on inhibition effects during attentive auditory processing in noise, the impact of noise on the neural response during the pre-attentive phase remains unclear. Therefore, this preliminary study aimed to assess the auditory gating response, reflective of the sensory inhibitory stage, to repeated vowel pairs presented in background noise. CAEPs were recorded via high-density EEG in fifteen normal-hearing adults in quiet and noise conditions with low and high informational masking. The difference between the average CAEP peak amplitude evoked by each vowel in the pair was compared across conditions. Scalp maps were generated to observe general cortical inhibitory networks in each condition. Significant gating occurred in quiet, while noise conditions resulted in a significantly decreased gating response. The gating function was significantly degraded in noise with less informational masking content, coinciding with a reduced activation of inhibitory gating networks. These findings illustrate the adverse effect of noise on pre-attentive inhibition related to speech perception.
摘要：
皮质听觉诱发电位（CAEP）表明噪声降低了听觉神经编码，导致峰值振幅降低和峰值潜伏期增加。不同类型的噪声影响CAEP响应，更大的信息掩蔽导致额外的降解。在嘈杂的条件下，注意力可以改善目标信号的神经编码，由增加的CAEP振幅反映，这可能是通过各种抑制机制在注意前和注意水平促进。虽然以前的研究主要集中在噪声中注意力听觉处理过程中的抑制作用，注意前阶段噪声对神经反应的影响尚不清楚.因此,这项初步研究旨在评估听觉门控反应，反射感觉抑制阶段，重复的元音对呈现在背景噪声中。在安静和噪音条件下，通过高密度EEG记录了15名听力正常的成年人的CAEP，并提供了低信息和高信息掩蔽。在不同条件下比较了一对中每个元音引起的平均CAEP峰值幅度之间的差异。生成头皮图以观察每种条件下的一般皮质抑制网络。在安静中发生了重大的门控，而噪声条件导致门控响应显着降低。门控函数在具有较少信息掩蔽内容的噪声中显著降低，与抑制门控网络的激活减少相吻合。这些发现说明了噪声对与语音感知有关的注意前抑制的不利影响。
