噪声与振动控制2019，Vol.39Issue(5)：157-161,5.DOI:10.3969/j.issn.1006-1355.2019.05.030
电焊噪声雨滴掩蔽作用的脑响应研究
Functional Magnetic Resonance Image (fMRI) Study on Brain Response to the Welding Noise Masked by Rainfall
刘佳航 1蔡俊 1张仲伟 2郁倪帅 1傅萌 2汪阳2
作者信息
- 1. 上海交通大学 环境科学与工程学院,上海 200240
- 2. 上海交通大学医学院 附属瑞金医院 放射科,上海 200025
- 折叠
摘要
Abstract
Industrial noise pollution is one of the main environmental factors which affect workers’health and work efficiency. In the case that the traditional measures cannot meet the demands of noise reduction, it is inevitable to adopt acoustic masking to improve subjective feelings to the noise. In this study, the functional magnetic resonance image (fMRI) data of 19 healthy volunteers were collected to study the effect of acoustic masking on the cerebral cortex response. With the rainfall masked welding sound as the experimental acoustic signal, the brain activation regions of the volunteers stimulated by the welding noise and the rainfall acoustic signals were obtained by statistical processing, and meanwhile the comparative analysis was performed. It is found that the temporal lobe, the central posterior gyrus, the cingulate gyrus and the supraorbital gyrus are the main brain activation areas when exposing to the welding noise, and the limbic brain and the superior temporal gyrus are the main areas for the brain activation under the raindrops masked welding noise signal stimulus. The analysis of the difference of the activated brain regions before and after the raindrops masking of the welding noise shows that the activation of the prefrontal zone is more pronounced. This study provides an effective way to analyze the effects of acoustic masking on the brain response area, which provides an objective physiological research idea for the assessment of acoustic masking and its psychological effects.关键词
声学/声掩蔽/脑响应/功能性磁共振成像/电焊噪声/雨滴声Key words
acoustics/acoustic masking/brain response/functional magnetic resonance image (fMRI)/welding noise/rainfall noise分类
数理科学引用本文复制引用
刘佳航,蔡俊,张仲伟,郁倪帅,傅萌,汪阳..电焊噪声雨滴掩蔽作用的脑响应研究[J].噪声与振动控制,2019,39(5):157-161,5.
