Lin Chin-Teng, King Jung-Tai, John Alka Rachel, Huang Kuan-Chih, Cao Zehong, Wang Yu-Kai
Faculty of Engineering and Information Technology, Australian Artificial Intelligence Institute, University of Technology Sydney, Ultimo, NSW, Australia.
Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan.
Front Neurosci. 2021 Feb 10;15:621365. doi: 10.3389/fnins.2021.621365. eCollection 2021.
Many studies have reported that exercise can influence cognitive performance. But advancing our understanding of the interrelations between psychology and physiology in sports neuroscience requires the study of real-time brain dynamics during exercise in the field. Electroencephalography (EEG) is one of the most powerful brain imaging technologies. However, the limited portability and long preparation time of traditional wet-sensor systems largely limits their use to laboratory settings. Wireless dry-sensor systems are emerging with much greater potential for practical application in sports. Hence, in this paper, we use the BR8 wireless dry-sensor EEG system to measure P300 brain dynamics while cycling at various intensities. The preparation time was mostly less than 2 min as BR8 system's dry sensors were able to attain the required skin-sensor interface impedance, enabling its operation without any skin preparation or application of conductive gel. Ten participants performed four sessions of a 3 min rapid serial visual presentation (RSVP) task while resting and while cycling. These four sessions were pre-CE (RSVP only), low-CE (RSVP in 40-50% of max heart rate), vigorous-CE (RSVP in 71-85% of max heart rate) and post-CE (RSVP only). The recorded brain signals demonstrate that the P300 amplitudes, observed at the Pz channel, for the target and non-target responses were significantly different in all four sessions. The results also show decreased reaction times to the visual attention task during vigorous exercise, enriching our understanding of the ways in which exercise can enhance cognitive performance. Even though only a single channel was evaluated in this study, the quality and reliability of the measurement using these dry sensor-based EEG systems is clearly demonstrated by our results. Further, the smooth implementation of the experiment with a dry system and the success of the data analysis demonstrate that wireless dry EEG devices can open avenues for real-time measurement of cognitive functions in athletes outside the laboratory.
许多研究报告称,运动可以影响认知表现。但要深入了解运动神经科学中心理学与生理学之间的相互关系,需要在实地运动过程中研究实时脑动力学。脑电图(EEG)是最强大的脑成像技术之一。然而,传统湿传感器系统的便携性有限且准备时间长,这在很大程度上限制了它们仅能在实验室环境中使用。无线干传感器系统正在兴起,在体育领域具有更大的实际应用潜力。因此,在本文中,我们使用BR8无线干传感器EEG系统在不同强度骑行时测量P300脑动力学。由于BR8系统的干传感器能够达到所需的皮肤 - 传感器界面阻抗,无需任何皮肤准备或涂抹导电凝胶即可运行,因此准备时间大多少于2分钟。十名参与者在休息和骑行时进行了四组3分钟的快速序列视觉呈现(RSVP)任务。这四组分别是运动前(仅RSVP)、低强度运动(在最大心率的40 - 50%时进行RSVP)、高强度运动(在最大心率的71 - 85%时进行RSVP)和运动后(仅RSVP)。记录的脑信号表明,在所有四组中,在Pz通道观察到的目标和非目标反应的P300振幅存在显著差异。结果还表明,在剧烈运动期间对视觉注意力任务的反应时间缩短,这丰富了我们对运动可增强认知表现方式的理解。尽管本研究仅评估了一个通道,但我们的数据结果清楚地证明了使用这些基于干传感器的EEG系统进行测量的质量和可靠性。此外,使用干系统实验的顺利实施以及数据分析的成功表明,无线干EEG设备可为实验室外运动员认知功能的实时测量开辟道路。