School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China.
Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, 100083, China.
Brain Struct Funct. 2019 Jun;224(5):1781-1795. doi: 10.1007/s00429-019-01867-z. Epub 2019 Apr 20.
Musical performance strongly depends on continuous and dynamic information integration from the motor, sensory and cognitive systems. Musical training is an excellent model to investigate the plasticity of the dynamics in functional brain networks. Here, we compared the dynamics of the resting-state functional brain network in 29 healthy, young adults (13 males) before and after 24 weeks of piano training (all participants had been novices) with the functional brain network of 27 matched participants (13 males) who were also evaluated longitudinally but without any training. The sliding window approach was used to construct the time-varying functional networks, and the dynamics of 13 well-known functional systems were evaluated. The mean nodal flexibility of each functional system, which is a measure that captures changes in the local properties of the network, was calculated. In addition, the intrasystem connections, intersystem connections and their ratio for each functional system were also calculated. We found increased flexibility of the visual and auditory systems in participants after musical training when compared with the controls. Moreover, the visual system showed increased intrasystem and intersystem connections, and the auditory system showed increased intersystem connections and a decreased ratio of the intrasystem and intersystem connections in the training group after musical training. Furthermore, regression analysis revealed a positive correlation between the increased intersystem connections of the visual system and practice time in the training group. Our results indicated that the dynamics of the functional brain network can be changed by musical training, which provided new insights into the brain plasticity and functional architecture of the brain network.
音乐演奏强烈依赖于来自运动、感觉和认知系统的连续和动态信息整合。音乐训练是研究功能脑网络中动态可塑性的极佳模型。在这里，我们比较了 29 名健康年轻成年人（13 名男性）在 24 周钢琴训练前后（所有参与者均为新手）的静息状态功能脑网络的动力学，以及 27 名匹配参与者（13 名男性）的功能脑网络，这些参与者也进行了纵向评估，但没有接受任何训练。我们使用滑动窗口方法构建时变功能网络，并评估了 13 个已知功能系统的动力学。每个功能系统的平均节点灵活性（一种捕获网络局部属性变化的度量）被计算。此外，还计算了每个功能系统的内系统连接、外系统连接及其比值。与对照组相比，我们发现音乐训练后参与者的视觉和听觉系统的灵活性增加。此外，视觉系统显示出增加的内系统和外系统连接，而听觉系统显示出增加的外系统连接和减少的内系统和外系统连接的比值。此外，回归分析显示，训练组视觉系统增加的外系统连接与练习时间之间存在正相关关系。我们的研究结果表明，音乐训练可以改变功能脑网络的动力学，这为脑网络的脑可塑性和功能结构提供了新的见解。
