Centre Hospitalier Universitaire de Besançon, Centre d'Investigation Clinique INSERM CIC 1431, Besançon, France.
Plateforme de Neuroimagerie Fonctionnelle et Neurostimulation Neuraxess, Centre Hospitalier Universitaire de Besançon, Université de Bourgogne Franche-Comté, Bourgogne Franche-Comté, France.
Ann N Y Acad Sci. 2022 Jun;1512(1):126-140. doi: 10.1111/nyas.14755. Epub 2022 Feb 28.
Musical pleasure is related to the capacity to predict and anticipate the music. By recording early cerebral responses of 16 participants with electroencephalography during periods of silence inserted in known and unknown songs, we aimed to measure the contribution of different musical attributes to musical predictions. We investigated the mismatch between past encoded musical features and the current sensory inputs when listening to lyrics associated with vocal melody, only background instrumental material, or both attributes grouped together. When participants were listening to chords and lyrics for known songs, the brain responses related to musical violation produced event-related potential responses around 150-200 ms that were of a larger amplitude than for chords or lyrics only. Microstate analysis also revealed that for chords and lyrics, the global field power had an increased stability and a longer duration. The source localization identified that the right superior temporal and frontal gyri and the inferior and medial frontal gyri were activated for a longer time for chords and lyrics, likely caused by the increased complexity of the stimuli. We conclude that grouped together, a broader integration and retrieval of several musical attributes at the same time recruit larger neuronal networks that lead to more accurate predictions.
音乐愉悦感与预测和预期音乐的能力有关。通过在已知和未知歌曲中插入的静音期间记录 16 名参与者的脑电图的早期脑反应，我们旨在测量不同音乐属性对音乐预测的贡献。我们研究了当参与者听到与声乐旋律相关的歌词、仅背景乐器材料或同时听到这两种属性时，过去编码的音乐特征与当前感官输入之间的不匹配情况。当参与者听到已知歌曲的和弦和歌词时，与音乐违规相关的大脑反应会在大约 150-200 毫秒时产生事件相关电位反应，其幅度大于仅和弦或歌词的反应。微状态分析还表明，对于和弦和歌词，全局场功率具有更高的稳定性和更长的持续时间。源定位确定了右颞上回和额回以及下额回和内额回对于和弦和歌词会被激活更长时间，这可能是由于刺激的复杂性增加所致。我们得出结论，同时综合和检索几个音乐属性会招募更大的神经元网络，从而导致更准确的预测。
