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职业电竞选手的生物标志物:事件相关电位和认知测试研究。

Biomarkers of professional cybersportsmen: Event related potentials and cognitive tests study.

机构信息

Center for Artificial Intelligent Technology, Skolkovo Institute of Science and Technology (Skoltech), Moscow, Russia.

出版信息

PLoS One. 2023 Aug 1;18(8):e0289293. doi: 10.1371/journal.pone.0289293. eCollection 2023.

Abstract

"Faster, higher, stronger" is the motto of any professional athlete. Does that apply to brain dynamics as well? In our paper, we performed a series of EEG experiments on Visually Evoked Potentials and a series of cognitive tests-reaction time and visual search, with professional eSport players in Counter-Strike: Global Offensive (CS:GO) and novices (control group) in order to find important differences between them. EEG data were studied in a temporal domain by Event-Related Potentials (ERPs) and in a frequency domain by Variational Mode Decomposition. The EEG analysis showed that the brain reaction of eSport players is faster (P300 latency is earlier on average by 20-70 ms, p < 0.005) and stronger (P300 peak amplitude is higher on average by 7-9 mkV, p < 0.01). Professional eSport players also exhibit stronger stimulus-locked alpha-band power. Besides, the Spearman correlation analysis showed a significant correlation between hours spend in CS:GO and mean amplitude of P200 and N200 for the professional players. The comparison of cognitive test results showed the superiority of the professional players to the novices in reaction time (faster) and choice reaction time-faster reaction, but similar correctness, while a significant difference in visual search skills was not detected. Thus, significant differences in EEG signals (in spectrograms and ERPs) and cognitive test results (reaction time) were detected between the professional players and the control group. Cognitive tests could be used to separate skilled players from novices, while EEG testing can help to understand the skilled player's level. The results can contribute to understanding the impact of eSport on a player's cognitive state and associating eSport with a real sport. Moreover, the presented results can be useful for evaluating eSport team members and making training plans.

摘要

“更快、更高、更强”是所有职业运动员的座右铭。这是否也适用于大脑动态?在我们的论文中,我们对视觉诱发电位和一系列认知测试(反应时间和视觉搜索)进行了一系列 EEG 实验,参与者包括职业电子竞技选手(反恐精英:全球攻势 (CS:GO))和新手(对照组),以便找出他们之间的重要差异。EEG 数据在时域中通过事件相关电位 (ERP) 进行研究,在频域中通过变分模态分解进行研究。EEG 分析表明,电子竞技选手的大脑反应更快(P300 潜伏期平均提前 20-70 毫秒,p<0.005)且更强(P300 峰值幅度平均高 7-9 毫伏,p<0.01)。专业电子竞技选手还表现出更强的刺激锁定 alpha 频段功率。此外,Spearman 相关分析显示,职业选手在 CS:GO 中花费的时间与 P200 和 N200 的平均振幅之间存在显著相关性。认知测试结果的比较表明,职业选手在反应时间(更快)和选择反应时间方面优于新手——反应更快,但正确性相似,而在视觉搜索技能方面则没有检测到显著差异。因此,在 EEG 信号(在频谱图和 ERP 中)和认知测试结果(反应时间)方面,职业选手和对照组之间存在显著差异。认知测试可用于将熟练选手与新手区分开来,而 EEG 测试可帮助理解熟练选手的水平。研究结果有助于理解电子竞技对选手认知状态的影响,并将电子竞技与真正的运动联系起来。此外,所呈现的结果可用于评估电子竞技团队成员和制定培训计划。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92c5/10393144/56c6b52a5a6c/pone.0289293.g001.jpg

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