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情绪音乐音的前注意加工:多维标度和 ERP 研究。

Preattentive processing of emotional musical tones: a multidimensional scaling and ERP study.

机构信息

Department of Psychology, Stanford University Stanford, CA, USA.

出版信息

Front Psychol. 2013 Sep 23;4:656. doi: 10.3389/fpsyg.2013.00656. eCollection 2013.

DOI:10.3389/fpsyg.2013.00656
PMID:24065950
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3779798/
Abstract

Musical emotion can be conveyed by subtle variations in timbre. Here, we investigated whether the brain is capable to discriminate tones differing in emotional expression by recording event-related potentials (ERPs) in an oddball paradigm under preattentive listening conditions. First, using multidimensional Fechnerian scaling, pairs of violin tones played with a happy or sad intonation were rated same or different by a group of non-musicians. Three happy and three sad tones were selected for the ERP experiment. The Fechnerian distances between tones within an emotion were in the same range as the distances between tones of different emotions. In two conditions, either 3 happy and 1 sad or 3 sad and 1 happy tone were presented in pseudo-random order. A mismatch negativity for the emotional deviant was observed, indicating that in spite of considerable perceptual differences between the three equiprobable tones of the standard emotion, a template was formed based on timbral cues against which the emotional deviant was compared. Based on Juslin's assumption of redundant code usage, we propose that tones were grouped together, because they were identified as belonging to one emotional category based on different emotion-specific cues. These results indicate that the brain forms an emotional memory trace at a preattentive level and thus, extends previous investigations in which emotional deviance was confounded with physical dissimilarity. Differences between sad and happy tones were observed which might be due to the fact that the happy emotion is mostly communicated by suprasegmental features.

摘要

音乐情感可以通过音色的细微变化来传达。在这里,我们通过在非注意聆听条件下的Oddball 范式中记录事件相关电位(ERP),研究了大脑是否能够通过辨别具有不同情感表达的音调来区分音调。首先,使用多维费希纳标度,一组非音乐家对用愉快或悲伤语调演奏的小提琴音对进行了相同或不同的评分。选择了三个愉快的和三个悲伤的音调用于 ERP 实验。同一情感内的音调之间的费希纳距离与不同情感之间的音调距离相同。在两种条件下,以伪随机顺序呈现 3 个愉快和 1 个悲伤或 3 个悲伤和 1 个愉快的音调。观察到情绪偏差的失匹配负波,表明尽管标准情绪的三个等概率音调之间存在相当大的感知差异,但根据音色线索形成了一个模板,该模板与情绪偏差进行了比较。基于 Juslin 的冗余代码使用假设,我们提出音调被分组在一起,因为它们基于不同的情感特定线索被识别为属于一个情感类别。这些结果表明,大脑在非注意水平上形成情感记忆痕迹,从而扩展了先前的研究,其中情感偏差与物理差异混淆在一起。观察到悲伤和愉快音调之间的差异,这可能是因为愉快的情感主要通过超音段特征来传达。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f9d/3779798/101ca5950d9a/fpsyg-04-00656-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f9d/3779798/2a25e5dc2739/fpsyg-04-00656-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f9d/3779798/7e0d46ed1741/fpsyg-04-00656-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f9d/3779798/e0aa6054d1ba/fpsyg-04-00656-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f9d/3779798/101ca5950d9a/fpsyg-04-00656-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f9d/3779798/2a25e5dc2739/fpsyg-04-00656-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f9d/3779798/7e0d46ed1741/fpsyg-04-00656-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f9d/3779798/e0aa6054d1ba/fpsyg-04-00656-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f9d/3779798/101ca5950d9a/fpsyg-04-00656-g0004.jpg

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