标题:Explore the Brain Response to Naturalistic and Continuous Music Using EEG Phase Characteristics
作者:Li, Jie; Ji, Hongfei; Gu, Rong; Hou, Lusong; Zhang, Zhicheng; Wu, Qiang; Lu, Rongrong; Li, Maozhen
通讯作者:Ji, Hongfei
作者机构:[Li, Jie; Ji, Hongfei; Gu, Rong; Hou, Lusong; Zhang, Zhicheng] Tongji Univ, Dept Comp Sci & Technol, 4800 CaoAn Highway, Shanghai 201804, Peoples R Ch 更多
会议名称:12th International Conference on Intelligent Computing (ICIC)
会议日期:AUG 02-05, 2016
来源:INTELLIGENT COMPUTING THEORIES AND APPLICATION, ICIC 2016, PT I
出版年:2016
卷:9771
页码:294-305
DOI:10.1007/978-3-319-42291-6_29
关键词:EEG; Phase; Music; Tensor
摘要:Although many researches attempt to extract music-related EEG activities, they usually focus on EEG amplitude characteristics. So far, there is no publication reporting naturalistic and continuous music related components based on EEG phase characteristics. In this work, we explore the brain response to long natural music using only EEG phase characteristics. Benefiting from multiway representation, the Ordered PARAFAC model decomposition, and pattern correlation analysis, related phase factors can be extracted and reveal that the alpha and theta oscillations and central and occipital area are most relevant to the music stimulus, which is consistent with not only the previous work but also the results of corresponding EEG amplitude characteristics. Moreover, phase factors can be combined to identify plausible real brain activities elicited by music. Our studies attest to the effectiveness of EEG phase characteristics in exploring the brain response to naturalistic and continuous music.
收录类别:CPCI-S;EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978793037&doi=10.1007%2f978-3-319-42291-6_29&partnerID=40&md5=665a7a515b9b292300f3f5d7d3d5bccc
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