Speech in noise prediction by use of cortical auditory evoked potentials in normal hearing and sensorineural hearing loss: a systematic review

利用皮层听觉诱发电位预测正常听力和感音神经性听力损失患者噪声下言语能力:系统评价

阅读:1

Abstract

INTRODUCTION: Speech perception in noise (SPiN) is a critical challenge for individuals with sensorineural hearing loss (SNHL), and current behavioral assessments can be unreliable in populations with language barriers or cognitive impairment. Cortical auditory evoked potentials (CAEPs) can serve as a supplementary measurement as they often show strong correlations with SPiN outcomes across diverse hearing profiles. METHODS: Following PRISMA and SWiM guidelines, this systematic review includes studies from PubMed, Web of Science, and Scopus databases that examined the relationship between non-task related CAEPs and SPiN outcomes in adults with normal hearing, SNHL, or cochlear implants. RESULTS: Sixteen studies were included, encompassing 238 participants with SNHL and 204 participants with normal hearing. Across studies, N1 latency, P2 latency, and N1-P2 amplitude of the onset CAEP and acoustic change complex (ACC) are most consistently correlated with SPiN performance, particularly in sentence-based tests. The mismatch negativity (MMN) showed limited predictive value, as findings varied by age and hearing status. A meta-analysis was not conducted due to methodological heterogeneity. CONCLUSION: Onset CAEP and ACC N1 and P2 latencies together with N1-P2 amplitudes particularly demonstrate potential as electrophysiological indicators of SPiN performance. Their clinical utility is promising for populations where behavioral testing can be unreliable, such as CI users or individuals with cognitive or language barriers. However, standardization of protocols and further longitudinal research are needed to validate their application in clinical settings. SYSTEMATIC REVIEW REGISTRATION: https://www.crd.york.ac.uk/PROSPERO/view/CRD42023404158, identifier PROSPERO (CRD42023404158).

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。