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通过独立成分分析揭示音乐模式和节奏感知的时空脑电图动力学。

Revealing spatio-spectral electroencephalographic dynamics of musical mode and tempo perception by independent component analysis.

机构信息

Institute for Neural Computation and Institute of Engineering in Medicine, University of California, San Diego, La Jolla, CA, USA.

出版信息

J Neuroeng Rehabil. 2014 Feb 28;11:18. doi: 10.1186/1743-0003-11-18.

Abstract

BACKGROUND

Music conveys emotion by manipulating musical structures, particularly musical mode- and tempo-impact. The neural correlates of musical mode and tempo perception revealed by electroencephalography (EEG) have not been adequately addressed in the literature.

METHOD

This study used independent component analysis (ICA) to systematically assess spatio-spectral EEG dynamics associated with the changes of musical mode and tempo.

RESULTS

Empirical results showed that music with major mode augmented delta-band activity over the right sensorimotor cortex, suppressed theta activity over the superior parietal cortex, and moderately suppressed beta activity over the medial frontal cortex, compared to minor-mode music, whereas fast-tempo music engaged significant alpha suppression over the right sensorimotor cortex.

CONCLUSION

The resultant EEG brain sources were comparable with previous studies obtained by other neuroimaging modalities, such as functional magnetic resonance imaging (fMRI) and positron emission tomography (PET). In conjunction with advanced dry and mobile EEG technology, the EEG results might facilitate the translation from laboratory-oriented research to real-life applications for music therapy, training and entertainment in naturalistic environments.

摘要

背景

音乐通过操纵音乐结构,特别是音乐模式和节奏影响来传达情感。脑电图(EEG)揭示的音乐模式和节奏感知的神经相关性在文献中尚未得到充分解决。

方法

本研究使用独立成分分析(ICA)系统地评估与音乐模式和节奏变化相关的空间-频谱 EEG 动力学。

结果

实证结果表明,与小调音乐相比,大调音乐增加了右感觉运动皮层的 delta 波段活动,抑制了顶叶上回的 theta 活动,适度抑制了内侧额叶的 beta 活动,而快节奏音乐则在右感觉运动皮层上引起了显著的 alpha 抑制。

结论

所得 EEG 脑源与其他神经影像学模式(如功能磁共振成像(fMRI)和正电子发射断层扫描(PET))获得的先前研究结果相当。结合先进的干电极和移动 EEG 技术,EEG 结果可能有助于将实验室导向的研究转化为音乐治疗、训练和娱乐的现实生活应用,在自然环境中进行。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66f4/3941612/c343c7601345/1743-0003-11-18-1.jpg

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