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改变音乐节拍对脑电功率谱变异的影响及其心理意义
引用本文:张德乾,刘健,林梦. 改变音乐节拍对脑电功率谱变异的影响及其心理意义[J]. 绵阳师范学院学报, 2014, 0(2): 56-62
作者姓名:张德乾  刘健  林梦
作者单位:[1]井冈山大学心理学系,江西吉安343009 [2]闽南师范大学教育科学与技术系,福建漳州363000
基金项目:国家自然科学基金项目(31260238/C090104);江西省高校人文社科项目(2012XL1209).
摘    要:目的旨在探索音乐节拍对大脑活动主要区域信息加工过程中的脑电波谱变异.方法采用自编的音乐播放软件给被试分别播放(42、65、120 BPM)3种音乐节拍的65 dB音乐,每种节拍曲目播放5 min,并采集16脑区的脑电信号进行离线分析.结果 (1)与安静状态相比播放音乐时被试在7个波段的脑电波谱功率显著降低;播放音乐时脑电波谱重心频率向低频段移动,表明疲劳程度增加;(2)改变音乐节拍显著降低α1波频段的功率而增加α2波频段的功率;(3)从频段功率占比看,加快音乐节拍节奏增加高频段脑电波活动,降低节拍节奏增加低频段活动而降低高频段脑电波活动.结论音乐节拍显著影响脑电波谱功率变异,65 BPM的中等节奏音乐有利于注意力集中和放松休息,120 BPM快节奏音乐有利于激活唤醒水平,加快运动,改变音乐节拍增加注意负荷,消耗更多的心理加工资源,其意义有待于进一步探索.

关 键 词:音乐节律  EEG  脑电波谱功率分析  α波  β波

Variation of EEG Spectral Power Characteristics by Changing Music Tempo
ZHANG De - qian,LIU Jian,LIN Meng. Variation of EEG Spectral Power Characteristics by Changing Music Tempo[J]. Journal of Mianyang Normal University, 2014, 0(2): 56-62
Authors:ZHANG De - qian  LIU Jian  LIN Meng
Affiliation:1. Department of Psychology, Jinggangshan University, Jian, Jiangxi 343009; Department of Education, Min - nan Normal University, Zhangzhou, Fujian 363000
Abstract:Objective To observe the changes of EEG spectrum characteristics under different tempo of music. Method Eight healthy fight - handed volunteers served as subjects, aged from 20 to 22. EEG was recorded during rest (eyes -open) before and listening to the music included three types of tempo, 42, 65, 120 BPM, and then analyzed using EEG frequency - fluctuation analysis system. Results ( 1 ) The bands of EEG spectral power decreased significantly during Music Playing vs. Rest Condition, shows it 's an intrinsic processing of perception to listen to music ; and the center of gravity of frequency lower shows increasing fatigue. (2) Alphal band power decreased by changing music tempo while alpha2 band power increased. (3) Fasting music tempo increased higher bands of EEG activities while decreased lower bands of EEG activities, shows the arousal level of brain activity increased as the music temp increasing. Conclusion These changes of band frequency fluctuation characteristics refleet the further enhancement of brain activities in the areas related to music tempo. The method may be helpful in further study of music on EEG.
Keywords:music  tempo  EEG  spectral power analysis  alpha band  beta band
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