Finnish Centre of Excellence in Interdisciplinary Music Research, University of Jyväskylä, Finland.
Cortex. 2011 Oct;47(9):1099-106. doi: 10.1016/j.cortex.2011.04.011. Epub 2011 Apr 30.
Neuroimaging studies investigating the processing of emotions have traditionally considered variance between subjects as statistical noise. However, according to behavioural studies, individual differences in emotional processing appear to be an inherent part of the process itself. Temporary mood states as well as stable personality traits have been shown to influence the processing of emotions, causing trait- and mood-congruent biases. The primary aim of this study was to explore how listeners' personality and mood are reflected in their evaluations of discrete emotions represented by music. A related aim was to investigate the role of personality in music preferences. An experiment was carried out where 67 participants evaluated 50 music excerpts in terms of perceived emotions (anger, fear, happiness, sadness, and tenderness) and preference. Current mood was associated with mood-congruent biases in the evaluation of emotions represented by music, but extraversion moderated the degree of mood-congruence. Personality traits were strongly connected with preference ratings, and the correlations reflected the trait-congruent patterns obtained in prior studies investigating self-referential emotional processing. Implications for future behavioural and neuroimaging studies on music and emotions are raised.
神经影像学研究传统上将研究情绪处理的受试者之间的差异视为统计噪声。然而,根据行为研究,情绪处理中的个体差异似乎是该过程本身的固有组成部分。情绪的暂时状态以及稳定的个性特征已被证明会影响情绪的处理,从而导致特质和情绪一致的偏差。本研究的主要目的是探讨听众的个性和情绪如何反映在他们对音乐所代表的离散情绪的评价中。另一个目的是研究个性在音乐偏好中的作用。进行了一项实验,其中 67 名参与者根据感知的情绪(愤怒、恐惧、快乐、悲伤和温柔)和偏好对 50 个音乐片段进行了评估。当前的情绪与音乐所代表的情绪的情绪一致偏差有关,但外向性调节了情绪一致的程度。个性特征与偏好评分密切相关,相关性反映了先前研究中自我参照情绪处理的特质一致模式。提出了对音乐和情绪的未来行为和神经影像学研究的影响。