Ueno Fuyu, Shimada Sotaro
Department of Electronics and Bioinformatics, School of Science and Technology, Meiji University, Kawasaki 214-8571, Japan.
Japan Society for the Promotion of Science, Tokyo 102-0083, Japan.
Brain Sci. 2024 Nov 8;14(11):1130. doi: 10.3390/brainsci14111130.
BACKGROUND/OBJECTIVES: Musical pleasure is considered to be induced by prediction errors (surprise), as suggested in neuroimaging studies. However, the role of temporal changes in musical features in reward processing remains unclear. Utilizing the Information Dynamics of Music (IDyOM) model, a statistical model that calculates musical surprise based on prediction errors in melody and harmony, we investigated whether brain activities associated with musical pleasure, particularly in the θ, β, and γ bands, are induced by prediction errors, similar to those observed during monetary rewards.
We used the IDyOM model to calculate the information content (IC) of surprise for melody and harmony in 70 musical pieces across six genres; eight pieces with varying IC values were selected. Electroencephalographic data were recorded during listening to the pieces, continuously evaluating the participants' subjective pleasure on a 1-4 scale. Time-frequency analysis of electroencephalographic data was conducted, followed by general linear model analysis to fit the power-value time course in each frequency band to the time courses of subjective pleasure and IC for melody and harmony.
Significant positive fits were observed in the β and γ bands in the frontal region with both subjective pleasure and IC for melody and harmony. No significant fit was observed in the θ band. Both subjective pleasure and IC are associated with increased β and γ band power in the frontal regions.
β and γ oscillatory activities in the frontal regions are strongly associated with musical rewards induced by prediction errors, similar to brain activity observed during monetary rewards.
背景/目的：如神经影像学研究所表明的，音乐愉悦感被认为是由预测误差（惊喜）所诱发的。然而，音乐特征的时间变化在奖赏处理中的作用仍不明确。我们利用音乐信息动力学（IDyOM）模型（一种基于旋律与和声中的预测误差来计算音乐惊喜感的统计模型），研究与音乐愉悦感相关的大脑活动，尤其是在θ、β和γ频段，是否像在金钱奖赏期间观察到的那样，由预测误差所诱发。
我们使用IDyOM模型计算了六种流派的70首音乐作品中旋律与和声的惊喜信息含量（IC）；从中挑选出八首具有不同IC值的作品。在参与者聆听这些作品时记录脑电图数据，同时让他们以1至4的量表持续评估主观愉悦感。对脑电图数据进行时频分析，随后进行一般线性模型分析，以将每个频段的功率值时间进程与旋律和和声的主观愉悦感及IC的时间进程进行拟合。
在额叶区域的β和γ频段，观察到旋律与和声的主观愉悦感和IC之间存在显著的正拟合。在θ频段未观察到显著拟合。主观愉悦感和IC均与额叶区域β和γ频段功率的增加相关。
额叶区域的β和γ振荡活动与由预测误差诱发的音乐奖赏密切相关，类似于在金钱奖赏期间观察到的大脑活动。
