J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL 32611
J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL 32611.
eNeuro. 2023 Apr 27;10(4). doi: 10.1523/ENEURO.0463-22.2023. Print 2023 Apr.
Traditional human electroencephalography (EEG) experiments that study visuomotor processing use controlled laboratory conditions with limited ecological validity. In the real world, the brain integrates complex, dynamic, multimodal visuomotor cues to guide the execution of movement. The parietal and occipital cortices are especially important in the online control of goal-directed actions. Table tennis is a whole-body, responsive activity requiring rapid visuomotor integration that presents a myriad of unanswered neurocognitive questions about brain function during real-world movement. The aim of this study was to quantify the electrocortical dynamics of the parieto-occipital cortices while playing a sport with high-density electroencephalography. We included analysis of power spectral densities (PSDs), event-related spectral perturbations, intertrial phase coherences (ITPCs), event-related potentials (ERPs), and event-related phase coherences of parieto-occipital source-localized clusters while participants played table tennis with a ball machine and a human. We found significant spectral power fluctuations in the parieto-occipital cortices tied to hit events. Ball machine trials exhibited more fluctuations in θ power around hit events, an increase in intertrial phase coherence and deflection in the event-related potential, and higher event-related phase coherence between parieto-occipital clusters as compared with trials with a human. Our results suggest that sport training with a machine elicits fundamentally different brain dynamics than training with a human.
传统的研究视动加工的人类脑电图 (EEG) 实验采用控制实验室条件，具有有限的生态有效性。在现实世界中，大脑整合复杂、动态、多模态的视动线索来指导运动的执行。顶叶和枕叶皮质在目标导向动作的在线控制中尤为重要。乒乓球是一项全身反应活动，需要快速的视动整合，它提出了许多关于大脑在真实运动过程中功能的神经认知问题。本研究的目的是使用高密度脑电图来量化顶枕叶皮质的脑电动力学。我们包括分析功率谱密度 (PSD)、事件相关频谱扰动、试验间相位相干 (ITPC)、事件相关电位 (ERP) 和顶枕叶源定位集群的事件相关相位相干，而参与者使用球机和人玩乒乓球。我们发现与击球事件相关的顶枕叶皮质的显著频谱功率波动。与与人类比赛相比，机器比赛中θ 功率在击球事件周围的波动更大，试验间相位相干性增加，事件相关电位偏斜，以及顶枕叶集群之间的事件相关相位相干性更高。我们的结果表明，与人类训练相比，机器训练会引起根本不同的大脑动力学。
