收稿日期: 2019-05-29
网络出版日期: 2020-02-02
基金资助
国家自然科学基金资助项目(61571283)
Electroencephalogram features based on detrended fluctuation analysis of different features of music stimulation
Received date: 2019-05-29
Online published: 2020-02-02
旨在研究受试者对不同特征音乐的心理生理反应, 探索脑电长程关联特性. 招募 10 名在校学生作为受试者, 参与 4 种具有不同物理特征的音乐聆听任务, 并完成自我情绪评价, 同步采集受试者任务期间的头皮脑电信号. 针对音乐刺激脑电的非平稳非线性特性, 使用一种检测非平稳时间序列的长程相关性非线性方法——去趋势波动分析, 通过计算脑电信号分频段序列的标度指数分析脑电信号长程相关性, 并结合行为学数据, 探究不同音乐特征对情绪加工的影响. 实验结果显示, 升调版欢快乐曲诱发的积极情绪感受会显著降低, 而无论升调还是降调都会显著降低悲伤音乐诱发的悲伤情绪效应; 在不同音调特征的音乐刺激诱发下, 受试者在 alpha, beta 频段上还表现出明显大脑偏侧化特点, 左半球脑动力表现更活跃. 所应用的标度指数可以反映不同音乐刺激下脑电的特异性.
朱嘉诚, 李颖洁 . 基于去趋势波动分析的不同特征音乐刺激下脑电特性[J]. 上海大学学报(自然科学版), 2021 , 27(3) : 514 -524 . DOI: 10.12066/j.issn.1007-2861.2163
In this study, we investigated the effects of different musical features on the electrophysiological and psychological responses of participants, and explored the long-range correlations of electroencephalograms (EEGs). We recruited 10 students to participate in four listening tasks involving different musical features. After each task, the participants completed a self-evaluation of their emotions. Scalp EEG signals were collected synchronously during the tasks. Considering the non-stationary and nonlinear characteristics of music-stimulated EEGs, we used a nonlinear method to detect the long-range correlation of non-stationary time series, namely, detrended fluctuation analysis. Long-range correlations were analysed by calculating the scale index of the EEG signal sub-band sequence, and combining it with behavioural data. The results show that the positive emotions induced by the rising tone of the happy version are significantly reduced, and whether it was rising tone or falling tone, it would significantly reduce the sad emotions induced by sad music. Under musical stimulation involving different tonal features, the subjects showed obvious brain lateralisation characteristics in the alpha and beta bands, with the left hemisphere brain dynamics showing greater activity. Moreover, the scale index used in this study was shown to reflect the specificity of EEG under different musical stimuli.
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