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聆听整首乐曲时与事件相关的脑反应。

Event-related brain responses while listening to entire pieces of music.

作者信息

Poikonen H, Alluri V, Brattico E, Lartillot O, Tervaniemi M, Huotilainen M

机构信息

Cognitive Brain Research Unit, Cognitive Science, Institute of Behavioural Sciences, University of Helsinki, P.O. Box 9 (Siltavuorenpenger 1 B), FI-00014 University of Helsinki, Finland.

Department of Music, University of Jyväskylä, P.O. Box 35, 40014 University of Jyväskylä, Finland.

出版信息

Neuroscience. 2016 Jan 15;312:58-73. doi: 10.1016/j.neuroscience.2015.10.061. Epub 2015 Nov 7.

DOI:10.1016/j.neuroscience.2015.10.061
PMID:26550950
Abstract

Brain responses to discrete short sounds have been studied intensively using the event-related potential (ERP) method, in which the electroencephalogram (EEG) signal is divided into epochs time-locked to stimuli of interest. Here we introduce and apply a novel technique which enables one to isolate ERPs in human elicited by continuous music. The ERPs were recorded during listening to a Tango Nuevo piece, a deep techno track and an acoustic lullaby. Acoustic features related to timbre, harmony, and dynamics of the audio signal were computationally extracted from the musical pieces. Negative deflation occurring around 100 milliseconds after the stimulus onset (N100) and positive deflation occurring around 200 milliseconds after the stimulus onset (P200) ERP responses to peak changes in the acoustic features were distinguishable and were often largest for Tango Nuevo. In addition to large changes in these musical features, long phases of low values that precede a rapid increase - and that we will call Preceding Low-Feature Phases - followed by a rapid increase enhanced the amplitudes of N100 and P200 responses. These ERP responses resembled those to simpler sounds, making it possible to utilize the tradition of ERP research with naturalistic paradigms.

摘要

使用事件相关电位(ERP)方法对大脑对离散短声音的反应进行了深入研究,在该方法中,脑电图(EEG)信号被划分为与感兴趣的刺激时间锁定的时间段。在这里,我们介绍并应用一种新技术,该技术能够分离出人类在连续音乐刺激下诱发的ERP。在聆听一首新探戈乐曲、一首深度科技舞曲和一首原声摇篮曲时记录ERP。从音乐作品中通过计算提取与音频信号的音色、和声和动态相关的声学特征。刺激开始后约100毫秒出现的负向波峰变化(N100)和刺激开始后约200毫秒出现的正向波峰变化(P200)对声学特征峰值变化的ERP反应是可区分的,并且通常在新探戈乐曲中最大。除了这些音乐特征的大幅变化外,在快速增加之前出现的长时间低幅值阶段——我们将其称为“前期低特征阶段”——随后的快速增加增强了N100和P200反应的幅度。这些ERP反应类似于对更简单声音的反应,这使得利用ERP研究的传统方法进行自然主义范式研究成为可能。

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