Is it too loud? Ask your brain!

IF 4.7 2区医学 Q1 NEUROIMAGING NeuroImage Pub Date : 2024-08-15 DOI:10.1016/j.neuroimage.2024.120796

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引用次数: 0

Abstract

Purpose

In this study, the objectification of the subjective perception of loudness was investigated using electroencephalography (EEG). In particular, the emergence of objective markers in the domain of the acoustic discomfort threshold was examined.

Methods

A cohort of 27 adults with normal hearing, aged between 18 and 30, participated in the study. The participants were presented with 500 ms long noise stimuli via in-ear headphones. The acoustic signals were presented with sound levels of [55, 65, 75, 85, 95 dB]. After each stimulus, the subjects provided their subjective assessment of the perceived loudness using a colored scale on a touchscreen. EEG signals were recorded, and afterward, event-related potentials (ERPs) locked to sound onset were analyzed.

Results

Our findings reveal a linear dependency between the N100 component and both the sound level and the subjective loudness categorization of the sound. Additionally, the data demonstrated a nonlinear relationship between the P300 potential and the sound level as well as for the subjective loudness rating. The P300 potential was elicited exclusively when the stimuli had been subjectively rated as ”very loud” or ”too loud”.

Conclusion

The findings of the present study suggest the possibility of the identification of the subjective uncomfortable loudness level by objective neural parameters.

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声音太大了吗？问问你的大脑！

目的：本研究使用脑电图（EEG）对响度主观感知的客观化进行了研究。方法：27 名听力正常、年龄在 18 至 30 岁之间的成年人参加了这项研究：方法：27 名听力正常的成年人参加了研究，他们的年龄在 18 岁至 30 岁之间。参与者通过入耳式耳机接受 500 毫秒的长噪音刺激。声信号的声级为[55、65、75、85、95 dB]。每次刺激后，受试者通过触摸屏上的彩色刻度对感知到的响度进行主观评估。随后记录脑电信号，并分析锁定声音开始的事件相关电位（ERP）：结果：我们的研究结果表明，N100 分量与声级和声音的主观响度分类之间存在线性关系。此外，数据还显示 P300 电位与声级和主观响度等级之间存在非线性关系。只有当刺激被主观评定为 "非常响 "或 "太响 "时，P300 电位才会被激发：本研究的结果表明，可以通过客观神经参数来识别主观不舒适的响度水平。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

NeuroImage 医学-核医学

CiteScore

11.30

自引率

10.50%

发文量

809

审稿时长

63 days

期刊介绍： NeuroImage, a Journal of Brain Function provides a vehicle for communicating important advances in acquiring, analyzing, and modelling neuroimaging data and in applying these techniques to the study of structure-function and brain-behavior relationships. Though the emphasis is on the macroscopic level of human brain organization, meso-and microscopic neuroimaging across all species will be considered if informative for understanding the aforementioned relationships.