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Effects of musical expertise on oscillatory brain activity in response to emotional sounds

机译:音乐专长对情绪声音响应振动大脑活动的影响

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Emotions can be conveyed through a variety of channels in the auditory domain, be it via music, non-linguistic vocalizations, or speech prosody. Moreover, recent studies suggest that expertise in one sound category can impact the processing of emotional sounds in other sound categories as they found that musicians process more efficiently emotional musical and vocal sounds than non-musicians. However, the neural correlates of these modulations, especially their time course, are not very well understood. Consequently, we focused here on how the neural processing of emotional information varies as a function of sound category and expertise of participants. Electroencephalogram (EEG) of 20 non-musicians and 17 musicians was recorded while they listened to vocal (speech and vocalizations) and musical sounds. The amplitude of EEG-oscillatory activity in the theta, alpha, beta, and gamma band was quantified and Independent Component Analysis (ICA) was used to identify underlying components of brain activity in each band. Category differences were found in theta and alpha bands, due to larger responses to music and speech than to vocalizations, and in posterior beta, mainly due to differential processing of speech. In addition, we observed greater activation in frontal theta and alpha for musicians than for non-musicians, as well as an interaction between expertise and emotional content of sounds in frontal alpha. The results reflect musicians' expertise in recognition of emotion-conveying music, which seems to also generalize to emotional expressions conveyed by the human voice, in line with previous accounts of effects of expertise on musical and vocal sounds processing.
机译:情绪可以通过听觉域中的各种渠道传达,通过音乐,非语言发声或演讲韵律。此外,最近的研究表明,一个声音类别中的专业知识可能会影响其他声音类别的情绪声音的处理,因为他们发现音乐家流程比非音乐家更有效地情绪化音乐声音。然而,这些调制的神经相关性,尤其是它们的时间路线,并不是很好地理解。因此,我们的重点是情绪信息的神经处理如何随着声音类别和参与者的专业知识而变化。在听声语言(语音和发声)和音乐声音时,记录了20名非音乐家和17名音乐家的脑电图(EEG)。定量θ,α,β和γ和γ带中的EEG-振荡活性的幅度和独立的组分分析(ICA)用于鉴定每个频段中脑活动的基础组分。由于对音乐和语音的响应更大的反应而不是发声,并且在后β中,分类差异在θ和alpha乐队中发现了类别差异,主要是由于语音的差异处理。此外,我们观察了音乐家前θ和alpha的更大激活,而不是非音乐家,以及正面alpha中声音的专业知识和情感内容之间的互动。结果反映了音乐家的认识到情感传播音乐的专业知识,这似乎也概括了人类声音传达的情感表达,符合先前对音乐声音和声音处理的专业知识的影响。

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