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音乐偏好对前额叶皮层影响的电生理相关性研究:基于脑-机接口

Electrophysiological Correlation Underlying the Effects of Music Preference on the Prefrontal Cortex Using a Brain-Computer Interface.

机构信息

Product Design and Development Laboratory, Department of Industrial Design, National Taipei University of Technology, Taipei City 106344, Taiwan.

出版信息

Sensors (Basel). 2021 Mar 19;21(6):2161. doi: 10.3390/s21062161.

DOI:10.3390/s21062161
PMID:33808786
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8003564/
Abstract

This study aims to research the task of recognising brain activities in the prefrontal cortex that correspond to music at different preference levels. Since task performance regarding the effects of the subjects' favourite music can lead to better outcomes, we focus on the physical interpretation of electroencephalography (EEG) bands underlying the preference level for music. The experiment was implemented using a continuous response digital interface for the preference classification of three types of musical stimuli. The results showed that favourite songs more significantly evoked frontal theta than did the music of low and moderate preference levels. Additionally, correlations of frontal theta with cognitive state indicated that the frontal theta is associated not only with the cognitive state but also with emotional processing. These findings demonstrate that favourite songs can have more positive effects on listeners than less favourable music and suggest that theta and lower alpha in the frontal cortex are good indicators of both cognitive state and emotion.

摘要

本研究旨在研究识别前额叶皮质中与不同偏好水平音乐相对应的大脑活动的任务。由于任务表现与受试者最喜欢的音乐的影响有关,可以产生更好的结果,因此我们专注于对音乐偏好水平的脑电图(EEG)波段进行物理解释。该实验使用连续响应数字接口来对三种类型的音乐刺激进行偏好分类。结果表明,与低和中等偏好水平的音乐相比,最喜欢的歌曲更能明显地引起额部θ波。此外,额部θ波与认知状态的相关性表明,额部θ波不仅与认知状态有关,而且与情绪处理有关。这些发现表明,最喜欢的歌曲对听众的影响可能比不那么受欢迎的音乐更积极,并表明前额叶皮质中的θ波和较低的α波是认知状态和情绪的良好指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d5e/8003564/5f73d7923a01/sensors-21-02161-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d5e/8003564/4c8dfda027e5/sensors-21-02161-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d5e/8003564/a6b7095f452c/sensors-21-02161-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d5e/8003564/40198e254191/sensors-21-02161-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d5e/8003564/f5100dbe1406/sensors-21-02161-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d5e/8003564/75bdf92e956e/sensors-21-02161-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d5e/8003564/5f73d7923a01/sensors-21-02161-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d5e/8003564/4c8dfda027e5/sensors-21-02161-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d5e/8003564/a6b7095f452c/sensors-21-02161-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d5e/8003564/40198e254191/sensors-21-02161-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d5e/8003564/f5100dbe1406/sensors-21-02161-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d5e/8003564/75bdf92e956e/sensors-21-02161-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d5e/8003564/5f73d7923a01/sensors-21-02161-g006.jpg

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