• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

复杂环境中的听力:听觉增益控制、注意力与听力损失

Hearing in Complex Environments: Auditory Gain Control, Attention, and Hearing Loss.

作者信息

Auerbach Benjamin D, Gritton Howard J

机构信息

Department of Molecular and Integrative Physiology, Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States.

Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, IL, United States.

出版信息

Front Neurosci. 2022 Feb 10;16:799787. doi: 10.3389/fnins.2022.799787. eCollection 2022.

DOI:10.3389/fnins.2022.799787
PMID:35221899
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8866963/
Abstract

Listening in noisy or complex sound environments is difficult for individuals with normal hearing and can be a debilitating impairment for those with hearing loss. Extracting meaningful information from a complex acoustic environment requires the ability to accurately encode specific sound features under highly variable listening conditions and segregate distinct sound streams from multiple overlapping sources. The auditory system employs a variety of mechanisms to achieve this auditory scene analysis. First, neurons across levels of the auditory system exhibit compensatory adaptations to their gain and dynamic range in response to prevailing sound stimulus statistics in the environment. These adaptations allow for robust representations of sound features that are to a large degree invariant to the level of background noise. Second, listeners can selectively attend to a desired sound target in an environment with multiple sound sources. This selective auditory attention is another form of sensory gain control, enhancing the representation of an attended sound source while suppressing responses to unattended sounds. This review will examine both "bottom-up" gain alterations in response to changes in environmental sound statistics as well as "top-down" mechanisms that allow for selective extraction of specific sound features in a complex auditory scene. Finally, we will discuss how hearing loss interacts with these gain control mechanisms, and the adaptive and/or maladaptive perceptual consequences of this plasticity.

摘要

对于听力正常的人来说,在嘈杂或复杂的声音环境中聆听都很困难,而对于听力损失者而言,这可能是一种使人衰弱的损伤。从复杂的声学环境中提取有意义的信息需要具备在高度可变的聆听条件下准确编码特定声音特征,并从多个重叠声源中分离出不同声流的能力。听觉系统采用多种机制来实现这种听觉场景分析。首先,听觉系统各级的神经元会根据环境中当前的声音刺激统计数据,对其增益和动态范围表现出补偿性适应。这些适应使得声音特征能够得到稳健的表征,在很大程度上不受背景噪声水平的影响。其次,听众能够在有多个声源的环境中选择性地关注所需的声音目标。这种选择性听觉注意力是感觉增益控制的另一种形式,增强了被关注声源的表征,同时抑制对未被关注声音的反应。本综述将探讨响应环境声音统计变化的“自下而上”增益改变,以及在复杂听觉场景中允许选择性提取特定声音特征的“自上而下”机制。最后,我们将讨论听力损失如何与这些增益控制机制相互作用,以及这种可塑性的适应性和/或适应不良的感知后果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b838/8866963/84b1a9864a70/fnins-16-799787-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b838/8866963/3f614761c7e6/fnins-16-799787-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b838/8866963/9b1f56a1436c/fnins-16-799787-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b838/8866963/430ad1e0569a/fnins-16-799787-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b838/8866963/05ab5672d2fe/fnins-16-799787-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b838/8866963/84b1a9864a70/fnins-16-799787-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b838/8866963/3f614761c7e6/fnins-16-799787-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b838/8866963/9b1f56a1436c/fnins-16-799787-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b838/8866963/430ad1e0569a/fnins-16-799787-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b838/8866963/05ab5672d2fe/fnins-16-799787-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b838/8866963/84b1a9864a70/fnins-16-799787-g005.jpg

相似文献

1
Hearing in Complex Environments: Auditory Gain Control, Attention, and Hearing Loss.复杂环境中的听力:听觉增益控制、注意力与听力损失
Front Neurosci. 2022 Feb 10;16:799787. doi: 10.3389/fnins.2022.799787. eCollection 2022.
2
Enhancing Auditory Selective Attention Using a Visually Guided Hearing Aid.使用视觉引导助听器增强听觉选择性注意
J Speech Lang Hear Res. 2017 Oct 17;60(10):3027-3038. doi: 10.1044/2017_JSLHR-H-17-0071.
3
Where is the cocktail party? Decoding locations of attended and unattended moving sound sources using EEG.鸡尾酒会在哪里?使用 EEG 解码有注意和无注意移动声源的位置。
Neuroimage. 2020 Jan 15;205:116283. doi: 10.1016/j.neuroimage.2019.116283. Epub 2019 Oct 17.
4
Assessment of auditory spatial awareness in complex listening environments.复杂聆听环境下听觉空间意识的评估。
J Acoust Soc Am. 2014 Oct;136(4):1808-20. doi: 10.1121/1.4893932.
5
Cortical Representations of Speech in a Multitalker Auditory Scene.多说话者听觉场景中语音的皮质表征
J Neurosci. 2017 Sep 20;37(38):9189-9196. doi: 10.1523/JNEUROSCI.0938-17.2017. Epub 2017 Aug 18.
6
Hearing in noisy environments: noise invariance and contrast gain control.嘈杂环境中的听觉:噪声不变性与对比度增益控制
J Physiol. 2014 Aug 15;592(16):3371-81. doi: 10.1113/jphysiol.2014.274886. Epub 2014 Jun 6.
7
ARTSTREAM: a neural network model of auditory scene analysis and source segregation.ARTSTREAM:一种用于听觉场景分析和声源分离的神经网络模型。
Neural Netw. 2004 May;17(4):511-36. doi: 10.1016/j.neunet.2003.10.002.
8
EEG-assisted Modulation of Sound Sources in the Auditory Scene.脑电图辅助对听觉场景中声源的调制
Biomed Signal Process Control. 2018 Jan;39:263-270. doi: 10.1016/j.bspc.2017.08.008. Epub 2017 Aug 16.
9
A biologically oriented algorithm for spatial sound segregation.一种用于空间声音分离的生物导向算法。
Front Neurosci. 2022 Oct 14;16:1004071. doi: 10.3389/fnins.2022.1004071. eCollection 2022.
10
Effects of task-switching on neural representations of ambiguous sound input.任务切换对模糊声音输入的神经表征的影响。
Neuropsychologia. 2014 Nov;64:218-29. doi: 10.1016/j.neuropsychologia.2014.09.039. Epub 2014 Sep 30.

引用本文的文献

1
Reduced Neural Speech Tracking in Adolescents with Listening Difficulty.听力困难青少年的神经语音跟踪能力下降。
medRxiv. 2025 Jun 24:2025.06.24.25330187. doi: 10.1101/2025.06.24.25330187.
2
Individual differences in auditory scene analysis abilities in music and speech.音乐和语音中听觉场景分析能力的个体差异。
Sci Rep. 2025 Jul 5;15(1):24048. doi: 10.1038/s41598-025-10263-z.
3
The Ongoing Challenges of Hearing Loss: Stigma, Socio-Cultural Differences, and Accessibility Barriers.听力损失的持续挑战:耻辱感、社会文化差异和无障碍障碍。

本文引用的文献

1
AIM: A network model of attention in auditory cortex.目的:听觉皮层注意力的网络模型。
PLoS Comput Biol. 2021 Aug 27;17(8):e1009356. doi: 10.1371/journal.pcbi.1009356. eCollection 2021 Aug.
2
Cochlear neural degeneration disrupts hearing in background noise by increasing auditory cortex internal noise.耳蜗神经退化通过增加听觉皮层内部噪声来破坏背景噪声中的听力。
Neuron. 2021 Mar 17;109(6):984-996.e4. doi: 10.1016/j.neuron.2021.01.015. Epub 2021 Feb 8.
3
Top-Down Inference in the Auditory System: Potential Roles for Corticofugal Projections.
Audiol Res. 2025 Apr 24;15(3):46. doi: 10.3390/audiolres15030046.
4
What Do Mismatch Negativity (MMN) Responses Tell Us About Tinnitus?失匹配负波(MMN)反应能告诉我们关于耳鸣的哪些信息?
J Assoc Res Otolaryngol. 2025 Feb;26(1):33-47. doi: 10.1007/s10162-024-00970-1. Epub 2024 Dec 16.
5
Abnormal topological structure of structural covariance networks based on fractal dimension in noise induced hearing loss.基于分形维数的噪声性听力损失结构协变网络的异常拓扑结构。
Sci Rep. 2024 Nov 28;14(1):29644. doi: 10.1038/s41598-024-80731-5.
6
Lower frequency range of auditory input facilitates stream segregation in older adults.较低的听觉输入频率有助于老年人的声音流分离。
Hear Res. 2024 Sep 15;451:109095. doi: 10.1016/j.heares.2024.109095. Epub 2024 Aug 2.
7
Map plasticity following noise exposure in auditory cortex of rats: implications for disentangling neural correlates of tinnitus and hyperacusis.噪声暴露后大鼠听觉皮层的图谱可塑性:对耳鸣和听觉过敏神经相关性解析的启示
Front Neurosci. 2024 May 31;18:1385942. doi: 10.3389/fnins.2024.1385942. eCollection 2024.
8
Bursts of vagus nerve stimulation paired with auditory rehabilitation fail to improve speech sound perception in rats with hearing loss.与听觉康复相结合的迷走神经刺激脉冲未能改善听力损失大鼠的语音感知。
iScience. 2024 Mar 19;27(4):109527. doi: 10.1016/j.isci.2024.109527. eCollection 2024 Apr 19.
9
Canonical circuit computations for computer vision.计算机视觉的规范电路计算。
Biol Cybern. 2023 Oct;117(4-5):299-329. doi: 10.1007/s00422-023-00966-9. Epub 2023 Jun 12.
10
Sensory Loss and Risk of Dementia.感觉丧失与痴呆风险
Neuroscientist. 2024 Apr;30(2):247-259. doi: 10.1177/10738584221126090. Epub 2022 Sep 28.
听觉系统中的自上而下推理:皮质传出投射的潜在作用。
Front Neural Circuits. 2021 Jan 22;14:615259. doi: 10.3389/fncir.2020.615259. eCollection 2020.
4
Listening in complex acoustic scenes.在复杂声学场景中聆听。
Curr Opin Physiol. 2020 Dec;18:63-72. doi: 10.1016/j.cophys.2020.09.001. Epub 2020 Sep 8.
5
Normal Tone-In-Noise Sensitivity in Trained Budgerigars despite Substantial Auditory-Nerve Injury: No Evidence of Hidden Hearing Loss.训练有素的虎皮鹦鹉尽管听觉神经损伤严重,但在噪声中的正常音调敏感性:没有隐性听力损失的证据。
J Neurosci. 2021 Jan 6;41(1):118-129. doi: 10.1523/JNEUROSCI.2104-20.2020. Epub 2020 Nov 11.
6
Complementary Effects of Adaptation and Gain Control on Sound Encoding in Primary Auditory Cortex.适应和增益控制对初级听觉皮层声音编码的互补作用。
eNeuro. 2020 Nov 13;7(6). doi: 10.1523/ENEURO.0205-20.2020. Print 2020 Nov/Dec.
7
Hidden Hearing Loss Impacts the Neural Representation of Speech in Background Noise.隐性听力损失影响背景噪声中言语的神经表征。
Curr Biol. 2020 Dec 7;30(23):4710-4721.e4. doi: 10.1016/j.cub.2020.09.046. Epub 2020 Oct 8.
8
Foreground stimuli and task engagement enhance neuronal adaptation to background noise in the inferior colliculus of macaques.前景刺激和任务参与增强了猕猴下丘对背景噪声的神经元适应。
J Neurophysiol. 2020 Nov 1;124(5):1315-1326. doi: 10.1152/jn.00153.2020. Epub 2020 Sep 16.
9
Gap Detection Deficits in Chinchillas with Selective Carboplatin-Induced Inner Hair Cell Loss.选择性卡铂诱导内毛细胞丧失的南美栗鼠的缝隙检测缺陷。
J Assoc Res Otolaryngol. 2020 Dec;21(6):475-483. doi: 10.1007/s10162-020-00744-5. Epub 2020 Aug 17.
10
Mechanisms and Functional Consequences of Presynaptic Homeostatic Plasticity at Auditory Nerve Synapses.听觉神经突触的突触前自身稳态可塑性的机制及其功能后果。
J Neurosci. 2020 Sep 2;40(36):6896-6909. doi: 10.1523/JNEUROSCI.1175-19.2020. Epub 2020 Aug 3.