ISSN 0439-755X
CN 11-1911/B

心理学报 ›› 2013, Vol. 45 ›› Issue (5): 491-507.doi: 10.3724/SP.J.1041.2013.00491

• 论文 • 上一篇    下一篇



  1. (1北京师范大学认知神经科学与学习国家重点实验室, 北京 100875) (2中国科学院心理健康重点实验室, 北京 100101)
  • 收稿日期:2012-11-05 发布日期:2013-05-25 出版日期:2013-05-25
  • 通讯作者: 徐苗
  • 基金资助:

    国家自然科学基金(31230031, 91132703)、国家自然科学基金青年科学基金项目(31100808)和国家重点基础研究计划(2010CB833903)资助。

The Neural Mechanism underlying Music Perception: A Meta-analysis of fMRI Studies

LAI Han;XU Miao;SONY Yiying;LIU Jia   

  1. (1 State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China) (2 Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China)
  • Received:2012-11-05 Online:2013-05-25 Published:2013-05-25
  • Contact: XU Miao

摘要: 本研究根据音乐加工的层级结构, 对现有的脑成像研究进行了元分析, 探讨了音乐知觉的神经基础。具体而言, 对特异于音乐知觉加工的两个层级, 音程分析和结构分析的神经基础进行了分析, 并在此基础上对比了参与两个层级加工的脑区。结果发现, 音程分析主要的激活分布在双侧颞上回和右侧额下回, 在中央前回、角回和脑岛等脑区也有分布。音程分析在颞上回激活最多, 可能表明颞上回为音程分析的核心区域。结构分析激活分布较广, 主要激活颞上回、颞横回和前额叶区域, 此外, 还激活了下顶叶、缘上回和舌回等顶枕区域。结构分析在前额叶激活最多, 可能表明前额叶为结构分析的核心区域。最后, 对比两层级激活的脑区发现, 二者仅在后侧颞上回存在着重合, 而在绝大部分脑区则表现出分离, 这暗示了音程分析和结构分析通过颞上回进行交流, 并负责音乐不同层面的加工。

关键词: 音乐知觉, 音程分析, 结构分析, 功能磁共振, 元分析

Abstract: Music is part of the human nature. Music perception involves a series of hierarchical processing levels, including auditory feature extraction, gestalt formation, interval analysis, and structure analysis. Previous functional magnetic resonance imaging (fMRI) studies have identified multiple cortical regions involved in different levels of music perception, but these studies yielded inconsistent findings possibly because different research paradigms and data analysis methods were used. Therefore, the neural mechanism underlying music perception is unclear. In this study we performed a meta-analysis to identify brain regions stably recruited by music perception. Specially, we focused on two processing levels specific to music perception, which were interval analysis and structure analysis. In addition, to explore the hierarchical structure of music perception, we examined the possible overlapping and dissociation of the regions involved in interval analysis and structure analysis. We used meta-analysis approach to re-analyze results from fMRI studies on interval analysis and structure analysis. There were eight studies on interval analysis which included 15 contrasts and 63 peaks, and ten studies on structure analysis which included 19 contrasts and 217 peaks. The coordinates of peak voxels reported in these studies were projected onto a brain template to visualize the distributions of activations recruited by interval analysis and structure analysis respectively. To identify brain regions stably activated by music perception, peaks of each analysis level were segregated into a number of spatially distinct clusters, using a hierarchical classification algorithm that minimized the spatial extent within each cluster while maximizing the peak-to-peak distance between clusters. Then, we calculated mean coordinates for each cluster in the MNI space and used FSL View procedure to identify the anatomical label of each cluster. Finally, to explore whether clusters belonging to the two analysis levels were spatially overlapped or dissociated, we examined the pairs of clusters with distances less than 7mm (about 3 voxels) by K-means clustering. The meta-analysis identified 12 clusters for interval analysis and 29 clusters for structure analysis. Clusters for interval analysis primarily localized in the superior temporal gyrus (STG) with the peaks distribution rate (PDR)being 43%, while clusters for structure analysis mainly localized in the prefrontal cortex with a PDR of 34%. Although both interval analysis and structure analysis involved frontal, temporal, parietal and insular areas, their activations overlapped only in the posterior portion of the superior temporal gyrus (STGp). In sum, the meta-analysis suggests that interval analysis and structure analysis are two separate processing levels in the hierarchical structure of music perception, with largely dissociated neural activations. In addition, the two analysis levels intersected only in STGp, which might play a role in information exchanges between interval analysis and structure analysis. Thus, our study provides clues for future researches on neural basis underlying hierarchical structure of music perception.

Key words: music perception, interval analysis, structure analysis, fMRI, meta-analysis