Temporal profiles of cortical oscillations in novice performers for goal-directed aiming in a shooting task

β节律 脑电图 阿尔法(金融) BETA(编程语言) 心理学 认知心理学 连贯性(哲学赌博策略) 任务(项目管理) 认知 相位相干性 神经科学 计算机科学 物理医学与康复 发展心理学 物理 数学 统计 医学 经济 心理测量学 管理 程序设计语言 结构效度 凝聚态物理
作者
Bo-Cheng Kuo,Lu-Chun Yeh,Fangwen Chen,Chao-Shiung Chang,Chang-Wei Hsieh,Yei‐Yu Yeh
出处
期刊:Biological Psychology [Elsevier BV]
卷期号:176: 108482-108482 被引量:1
标识
DOI:10.1016/j.biopsycho.2022.108482
摘要

Goal-directed aiming relies on the ability to control attention and visuomotor movements while preparing for motor execution. Research in precision sports has investigated cortical oscillations for supporting expert performance. However, the results may be influenced by adaptive and strategic behaviors after intensive training. Whether and at what time points distinctive oscillations support goal-directed aiming without such training remains elusive. In this electroencephalographic (EEG) study, we investigated how the theta, alpha and beta oscillations change to support accurate aiming before novices took an action. We first conducted a model-based analysis to examine the correlation of cortical oscillations with accurate shooting on a trial-by-trial basis in a within-individual manner. The results showed that alpha and beta oscillations at different time points during the aiming period were better predictors of aiming accuracy. We then compared the oscillatory power for good versus poor performance. The results showed decreases in the alpha and beta power across distributed cortical areas and an increase in the frontal theta power successively before shot release. Moreover, greater intertrial phase coherence was observed for good performance than for poor performance in posterior alpha activity and anterior beta activity during the aiming period. In conclusion, these results advance our understanding of the temporal dynamics of theta, alpha and beta oscillations in orchestrating goal setting, motor preparation and focused attention to monitoring both external and internal states for accurate aiming. Among the three, alpha and beta oscillations are critical for predicting aiming performance and theta oscillations reflect effortful cognitive control.
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