音乐的层次语法模型预测了在听音乐时的 teta 功率
Steffen A Herff1, Leonardo Bonetti2, Gabriele Cecchetti3
1Sydney Conservatorium of Music, University of Sydney, Sydney, Australia; The MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Sydney, Australia; Digital and Cognitive Musicology Lab, College of Humanities, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Neuropsychologia
|May 13, 2024
概括
大脑活动,特别是 teta 功率,反映了音乐结构,类似于语言处理. 这表明共享的神经机制处理复杂的语法在音乐和语言.
科学领域:
- 认知神经科学 认知神经科学
- 音乐认知 音乐认知
- 计算语言学 计算语言学
背景情况:
- 语言研究表明,语法嵌入深度与大脑的Theta功率相关.
- 以前的研究主要集中在语言刺激上,使得对非语言层次结构的神经处理的理解变得不太清楚.
研究的目的:
- 为了调查大脑对语言中语法复杂性的处理是否延伸到音乐结构.
- 探索音乐语法的神经相关性,特别是和依赖性,在频段.
- 确定音乐专业知识是否影响音乐结构的神经处理.
主要方法:
- 利用音乐语法的层次模型来量化西方古典音乐中的延长和准备.
- 分析了65名参与者听音乐作品的磁脑电图 (MEG) 数据.
- 采用贝叶斯混合效应模型来预测基于音乐依赖的theta信封波动,控制音频信封.
主要成果:
- 延长和准备的依赖性独立地预测了与语言相关的大脑区域的塔带波动.
- 准备依赖在奖励和预测相关的大脑区域的独特预测活动.
- 音乐专业知识在与语言相关的领域调节了这些效应,暗示了域一般处理机制.
结论:
- 大脑的theta活动反映了正式的音乐理论模型的处理,反映了语言语法中的发现.
- 这项研究提供了共同的神经机制的证据,这些神经机制是音乐和语言中复杂的层次结构的感知和认知的基础.
- 这些发现有助于我们更好地理解大脑如何处理不同领域的抽象结构信息.
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