TOWARD AN OBJECTIVE MEASURE OF LISTENER ENGAGEMENT WITH NATURAL MUSIC USING INTER-SUBJECT EEG CORRELATION

TOWARD AN OBJECTIVE MEASURE OF LISTENER ENGAGEMENT WITH NATURAL MUSIC USING INTER-SUBJECT EEG CORRELATION
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使用受试者间脑电图相关性来客观衡量听众对自然音乐的参与度

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发表时间:
2014
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通讯作者:
J. Berger
J. Berger
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作者:
Blair Kaneshiro;J. Dmochowski;A. Norcia;J. Berger

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本研究扩展了现有的研究主体间的相关性(ISCs)的大脑反应作为一种措施的参与,重点是音乐流的结构连贯性和听众的参与程度与it.EEG之间的关系被记录,而受试者听自然主义音乐(流行的印地语歌曲)在原始版本和时间中断,相位混乱的条件。使用可靠成分分析从EEG数据计算ISC。总体而言,原始版本的歌曲产生了显着更高的ISC比相位打乱的版本,也被评为更愉快,秩序良好,有趣的科目。从对原始歌曲的反应中提取的最可靠的空间分量与过去涉及自然主义音乐的EEG发现一致。ISC的时间进程是在音乐相关的时间尺度上解决的。我们的研究结果的总和表明,ISCs显示出在典型的嘈杂EEG信号中找到时间关键的参与和注意力测量的希望,特别是,作为一种手段,找到音乐的结构特征和听众的大脑反应之间的相关性。我们讨论了提高ISCs和地区的音乐兴趣之间可能存在的联系,以及对未来研究的影响。
This study extends existing research on inter-subject correlations (ISCs) of brain responses as a measure of engagement, with a focus on the relationship between the structural coherence of a musical stream and the listener’s degree of engagement with it. EEG was recorded while subjects listened to naturalistic music (popular Hindi songs) presented in original versions and in temporally disrupted, phase-scrambled conditions. ISCs were computed from the EEG data using Reliable Components Analysis. Overall, original versions of songs yielded significantly higher ISCs than phase-scrambled versions, and were also rated as more pleasant, well ordered, and interesting by subjects. The most reliable spatial component extracted from responses to the original songs concurs with past EEG findings involving naturalistic music. The time course of the ISCs is resolved at a musically relevant time scale. The sum of our findings suggests that ISCs show promise toward finding time-critical measures of engagement and attention in typically noisy EEG signals, and, specifically, as a means to find correlations between structural features of music and brain responses in listeners. We discuss possible links between heightened ISCs and regions of musical interest, and implications for future research.
DOI: --
发表时间: 1997-12
期刊: --
影响因子: --
作者:
T. Jung;Colin J. Humphries;Te-Won Lee;S. Makeig;M. McKeown;V. Iragui;T. Sejnowski
通讯作者: T. Jung;Colin J. Humphries;Te-Won Lee;S. Makeig;M. McKeown;V. Iragui;T. Sejnowski