Brain and Behaviour Lab: Dept. of Bioengineering, Imperial College London, London, UK.
Behaviour Analytics Lab, Data Science Institute, Imperial College London, London, UK.
Sci Rep. 2020 Jul 14;10(1):11537. doi: 10.1038/s41598-020-68423-2.
Recent technological developments in mobile brain and body imaging are enabling new frontiers of real-world neuroscience. Simultaneous recordings of body movement and brain activity from highly skilled individuals as they demonstrate their exceptional skills in real-world settings, can shed new light on the neurobehavioural structure of human expertise. Driving is a real-world skill which many of us acquire to different levels of expertise. Here we ran a case-study on a subject with the highest level of driving expertise-a Formula E Champion. We studied the driver's neural and motor patterns while he drove a sports car on the "Top Gear" race track under extreme conditions (high speed, low visibility, low temperature, wet track). His brain activity, eye movements and hand/foot movements were recorded. Brain activity in the delta, alpha, and beta frequency bands showed causal relation to hand movements. We herein demonstrate the feasibility of using mobile brain and body imaging even in very extreme conditions (race car driving) to study the sensory inputs, motor outputs, and brain states which characterise complex human skills.
移动脑与身体成像技术的最新进展正在为现实世界神经科学开拓新的前沿。当高度熟练的个体在现实环境中展示他们的非凡技能时,同时记录他们的身体运动和大脑活动,可以揭示人类专业技能的神经行为结构的新亮点。驾驶是我们许多人掌握的一种现实世界的技能,掌握程度不同。在这里,我们对一位具有最高驾驶专业水平的车手进行了案例研究——一位 F1 电动方程式赛车冠军。我们研究了司机在极端条件下(高速、低能见度、低温度、湿滑赛道)驾驶跑车时的神经和运动模式。记录了他的大脑活动、眼球运动和手/脚运动。大脑在德尔塔、阿尔法和贝塔频段的活动与手部运动有因果关系。我们在此展示了即使在非常极端的条件下(赛车驾驶)也可以使用移动脑与身体成像来研究特征复杂人类技能的感觉输入、运动输出和大脑状态。