Deciphering compromised speech-in-noise intelligibility in older listeners: the role of cochlear synaptopathy

听力学 听力图 毛细胞 可理解性(哲学) 言语感知 耳蜗 感音神经性聋 心理学 听力损失 医学 感知 神经科学 认识论 哲学
作者
Markus Garrett,Viacheslav Vasilkov,Manfred Mauermann,Pauline Devolder,John L. Wilson,Leslie Gonzales,Kenneth S. Henry,Sarah Verhulst
出处
期刊:ENeuro [Society for Neuroscience]
卷期号:: ENEURO.0182-24.2024
标识
DOI:10.1523/eneuro.0182-24.2024
摘要

Speech intelligibility declines with age and sensorineural hearing damage (SNHL). However, it remains unclear whether cochlear synaptopathy (CS), a recently discovered form of SNHL, significantly contributes to this issue. CS refers to damaged auditory-nerve synapses that innervate the inner hair cells and there is currently no go-to diagnostic test available. Furthermore, age-related hearing damage can comprise various aspects (e.g., hair cell damage, CS) that each can play a role in impaired sound perception. To explore the link between cochlear damage and speech intelligibility deficits, this study examines the role of CS for word recognition among older listeners. We first validated an envelope-following response (EFR) marker for CS using a Budgerigar model. We then applied this marker in human experiments, while restricting the speech material’s frequency content to ensure that both the EFR and the behavioral tasks engaged similar cochlear frequency regions. Following this approach, we identified the relative contribution of hearing sensitivity and CS to speech intelligibility in two age-matched (65-year-old) groups with clinically normal (n=15, 8 females) or impaired audiograms (n=13, 8 females). Compared to a young normal-hearing control group (n = 13, 7 females), the older groups demonstrated lower EFR responses and impaired speech reception thresholds. We conclude that age-related CS reduces supra-threshold temporal envelope coding with subsequent speech coding deficits in noise that cannot be explained based on hearing sensitivity alone. Significance Statement Temporal bone histology reveals that cochlear synaptopathy (CS), characterized by damage to inner hair cell auditory nerve fiber synapses, precedes sensory cell damage and hearing sensitivity decline. Despite this, clinical practice primarily evaluates hearing status based on audiometric thresholds, potentially overlooking a prevalent aspect of sensorineural hearing damage due to aging, noise exposure, or ototoxic drugs—all of which can lead to CS. To address this gap, we employ a novel and sensitive EEG-based marker of CS to investigate its relationship with speech intelligibility. This study addresses a crucial unresolved issue in hearing science: whether CS significantly contributes to degraded speech intelligibility as individuals age. Our study-outcomes are pivotal for identifying the appropriate target for treatments aimed at improving impaired speech perception.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
ccc完成签到 ,获得积分10
1秒前
哈哈完成签到,获得积分10
1秒前
SummerZ发布了新的文献求助10
2秒前
6秒前
6秒前
6秒前
就叫我小王吧完成签到,获得积分10
6秒前
6秒前
6秒前
CHBW给CHBW的求助进行了留言
6秒前
小助应助CC采纳,获得20
7秒前
7秒前
7秒前
追寻皮卡丘完成签到,获得积分10
8秒前
Lucas应助科研通管家采纳,获得10
8秒前
8秒前
共享精神应助科研通管家采纳,获得10
8秒前
pluto应助科研通管家采纳,获得10
9秒前
猪猪hero应助科研通管家采纳,获得10
9秒前
大模型应助科研通管家采纳,获得10
9秒前
爆米花应助科研通管家采纳,获得10
9秒前
9秒前
爆米花应助科研通管家采纳,获得10
9秒前
9秒前
英俊的铭应助米袋采纳,获得10
9秒前
丘比特应助WFLLL采纳,获得10
9秒前
酷波er应助科研通管家采纳,获得10
9秒前
桐桐应助科研通管家采纳,获得10
9秒前
DavidYey完成签到,获得积分10
9秒前
慕青应助科研通管家采纳,获得10
9秒前
10秒前
迟大猫应助花痴的谷雪采纳,获得10
10秒前
顾矜应助jiang采纳,获得10
10秒前
科研通AI5应助兜有米采纳,获得10
10秒前
江波完成签到,获得积分10
11秒前
贾趴菜完成签到,获得积分20
11秒前
11秒前
12秒前
12秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Les Mantodea de Guyane Insecta, Polyneoptera 1000
Structural Load Modelling and Combination for Performance and Safety Evaluation 1000
Conference Record, IAS Annual Meeting 1977 820
England and the Discovery of America, 1481-1620 600
Fault identification method of electrical automation distribution equipment in distribution networks based on neural network 560
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3579137
求助须知:如何正确求助?哪些是违规求助? 3149001
关于积分的说明 9475445
捐赠科研通 2850360
什么是DOI,文献DOI怎么找? 1567174
邀请新用户注册赠送积分活动 733883
科研通“疑难数据库(出版商)”最低求助积分说明 720273