PDF(Pubmed)
Abstract：
The sport industry has never seen growth such as eSports\'. Using synchronized monitoring of two biological processes on a 25-year-old gamer, we investigated how his brain (via EEG) and eyes (via pupil dilation) interacted dynamically over time as an integrated network during NBA2K playing time. After the spectral decomposition of the different Brain and Eye signals into seven frequency bands, we calculated the bivariate equal-time Pearson\'s cross-correlation between each pair of EEG/Eye spectral power time series. On average, our results show a reorganization of the cortico-muscular network across three sessions (e.g., new interactions, hemispheric asymmetry). These preliminary findings highlight the potential need for individualized, specific, adaptive, and periodized interventions and encourage the continuation of this line of research for the creation of general theories of networks in eSports gaming. Future studies should recruit larger samples, investigate different games, and explore cross-frequency coordination among other key organ systems.
摘要：
体育产业从未见过像电子竞技这样的增长。对一名25岁的玩家进行两个生物过程的同步监测，我们研究了他的大脑（通过脑电图）和眼睛（通过瞳孔扩张）如何在NBA2K播放时间内作为集成网络随时间动态交互。在将不同的大脑和眼睛信号的频谱分解为七个频段之后，我们计算了每对EEG/Eye频谱功率时间序列之间的双变量等时间Pearson的互相关。平均而言,我们的结果显示了跨三个会话的皮质肌肉网络的重组(例如，新的互动，半球不对称）。这些初步发现突出了个性化的潜在需求，具体,适应性，和周期性的干预措施，并鼓励继续进行这一系列研究，以创建电子竞技游戏中网络的一般理论。未来的研究应该招募更大的样本，调查不同的游戏，并探索其他关键器官系统之间的交叉频率协调。
