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Electrophysiology and Perception of Speech in Noise in Older Listeners: Effects of Hearing Impairment and Age.老年听众的电生理学与噪声环境下的言语感知:听力损失与年龄的影响
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Gated auditory speech perception: effects of listening conditions and cognitive capacity.门控听觉言语感知:聆听条件和认知能力的影响。
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Upregulation of cognitive control networks in older adults' speech comprehension.老年人言语理解中认知控制网络的上调。
Front Syst Neurosci. 2013 Dec 24;7:116. doi: 10.3389/fnsys.2013.00116. eCollection 2013.
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Predicting perception in noise using cortical auditory evoked potentials.使用皮质听觉诱发电位预测噪声感知。
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A dynamic auditory-cognitive system supports speech-in-noise perception in older adults.动态听觉认知系统支持老年人群在噪声环境下的言语感知。
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Neural encoding and perception of speech signals in informational masking.信息掩蔽下语音信号的神经编码与感知。
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Neuroanatomical characteristics and speech perception in noise in older adults.老年人的神经解剖学特征与噪声下的言语感知。
Ear Hear. 2010 Aug;31(4):471-9. doi: 10.1097/AUD.0b013e3181d709c2.

补偿和序列加工模型在电生理学、言语理解和认知方面的应用。

Compensatory and Serial Processing Models for Relating Electrophysiology, Speech Understanding, and Cognition.

机构信息

National Center for Rehabilitative Auditory Research, Veterans Affairs Portland Health Care System, Portland, Oregon, USA.

Department of Otolaryngology-Head & Neck Surgery, Oregon Health & Science University, Portland, Oregon, USA.

出版信息

Ear Hear. 2019 Jul/Aug;40(4):1035-1038. doi: 10.1097/AUD.0000000000000674.

DOI:10.1097/AUD.0000000000000674
PMID:30407937
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6579703/
Abstract

OBJECTIVES

The objective of this study was to develop a framework for investigating the roles of neural coding and cognition in speech perception.

DESIGN

N1 and P3 auditory evoked potentials, QuickSIN speech understanding scores, and the Digit Symbol Coding cognitive test results were used to test the accuracy of either a compensatory processing model or serial processing model.

RESULTS

The current dataset demonstrated that neither the compensatory nor the serial processing model were well supported. An additive processing model may best represent the relationships in these data.

CONCLUSIONS

With the outcome measures used in this study, it is apparent that an additive processing model, where exogenous neural coding and higher order cognition contribute independently, best describes the effects of neural coding and cognition on speech perception. Further testing with additional outcome measures and a larger number of subjects is needed to confirm and further clarify the relationships between these processing domains.

摘要

目的

本研究旨在构建一个框架,以探究神经编码和认知在言语感知中的作用。

设计

采用 N1 和 P3 听觉诱发电位、QuickSIN 言语理解评分和数字符号编码认知测验结果,以检验补偿处理模型或序列处理模型的准确性。

结果

当前数据集表明,补偿处理模型和序列处理模型都没有得到很好的支持。相加处理模型可能最能代表这些数据中的关系。

结论

使用本研究中的测量指标,显然,一个相加处理模型,其中外源性神经编码和更高阶认知独立贡献,最能描述神经编码和认知对言语感知的影响。需要进一步的测试,使用额外的测量指标和更多的受试者,以确认并进一步阐明这些处理领域之间的关系。