Finnish Centre for Interdisciplinary Music Research, Department of Music, Art and Culture Studies, University of Jyväskylä, Finland.
Finnish Centre for Interdisciplinary Music Research, Department of Music, Art and Culture Studies, University of Jyväskylä, Finland.
Neuroimage. 2020 Aug 1;216:116191. doi: 10.1016/j.neuroimage.2019.116191. Epub 2019 Sep 13.
Keeping time is fundamental for our everyday existence. Various isochronous activities, such as locomotion, require us to use internal timekeeping. This phenomenon comes into play also in other human pursuits such as dance and music. When listening to music, we spontaneously perceive and predict its beat. The process of beat perception comprises both beat inference and beat maintenance, their relative importance depending on the salience of beat in the music. To study functional connectivity associated with these processes in a naturalistic situation, we used functional magnetic resonance imaging to measure brain responses of participants while they were listening to a piece of music containing strong contrasts in beat salience. Subsequently, we utilized dynamic graph analysis and psychophysiological interactions (PPI) analysis in connection with computational modelling of beat salience to investigate how functional connectivity manifests these processes. As the main effect, correlation analyses between the obtained dynamic graph measures and the beat salience measure revealed increased centrality in auditory-motor cortices, cerebellum, and extrastriate visual areas during low beat salience, whereas regions of the default mode- and central executive networks displayed high centrality during high beat salience. PPI analyses revealed partial dissociation of functional networks belonging to this pathway indicating complementary neural mechanisms crucial in beat inference and maintenance, processes pivotal for extracting and predicting temporal regularities in our environment.
计时对于我们的日常生活至关重要。各种等时活动,如运动,需要我们使用内部计时。这种现象也在人类的其他追求中发挥作用,如舞蹈和音乐。当我们听音乐时,我们会自发地感知和预测其节拍。节拍感知的过程包括节拍推断和节拍维持,它们的相对重要性取决于音乐中节拍的显著程度。为了在自然情境下研究与这些过程相关的功能连接,我们使用功能磁共振成像来测量参与者在听一首音乐时的大脑反应,其中包含了强烈的节拍显著度对比。随后,我们利用动态图分析和心理生理交互(PPI)分析,结合节拍显著度的计算模型,研究功能连接如何表现这些过程。作为主要效果,所获得的动态图测量值与节拍显著度测量值之间的相关分析显示,在低节拍显著度时,听觉-运动皮层、小脑和外视觉区域的中心性增加,而在高节拍显著度时,默认模式和中央执行网络区域的中心性较高。PPI 分析揭示了属于该通路的功能网络的部分分离,表明互补的神经机制对于节拍推断和维持至关重要,这些过程对于提取和预测我们环境中的时间规律至关重要。