Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.
PLoS One. 2013 Sep 10;8(9):e73852. doi: 10.1371/journal.pone.0073852. eCollection 2013.
Humans interact with the environment through sensory and motor acts. Some of these interactions require synchronization among two or more individuals. Multiple-trial designs, which we have used in past work to study interbrain synchronization in the course of joint action, constrain the range of observable interactions. To overcome the limitations of multiple-trial designs, we conducted single-trial analyses of electroencephalography (EEG) signals recorded from eight pairs of guitarists engaged in musical improvisation. We identified hyper-brain networks based on a complex interplay of different frequencies. The intra-brain connections primarily involved higher frequencies (e.g., beta), whereas inter-brain connections primarily operated at lower frequencies (e.g., delta and theta). The topology of hyper-brain networks was frequency-dependent, with a tendency to become more regular at higher frequencies. We also found hyper-brain modules that included nodes (i.e., EEG electrodes) from both brains. Some of the observed network properties were related to musical roles during improvisation. Our findings replicate and extend earlier work and point to mechanisms that enable individuals to engage in temporally coordinated joint action.
人类通过感官和运动行为与环境互动。其中一些互动需要两个或更多个体之间的同步。我们在过去的工作中使用多试次设计来研究共同行动过程中的脑间同步,这限制了可观察到的相互作用的范围。为了克服多试次设计的局限性,我们对八对从事即兴演奏的吉他手的脑电图 (EEG) 信号进行了单次试次分析。我们基于不同频率的复杂相互作用确定了超脑网络。脑内连接主要涉及较高频率(例如β波),而脑间连接主要在较低频率(例如δ波和θ波)下运作。超脑网络的拓扑结构是频率依赖性的,随着频率的升高,其趋于更加规则。我们还发现了包含两个大脑中节点(即 EEG 电极)的超脑模块。观察到的一些网络特性与即兴创作过程中的音乐角色有关。我们的发现复制和扩展了早期的研究结果,并指出了使个体能够参与时间协调的共同行动的机制。