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乒乓球运动员动作预期机制的多体素模式分析研究。

Mechanisms of Action Anticipation in Table Tennis Players: A Multivoxel Pattern Analysis Study.

机构信息

Department of Physical Education, Shanghai University of Engineering Science, No. 333, Longteng Road, Songjiang District, Shanghai 201620, People's Republic of China; Sports Economic Management Research Center, Shanghai University of Engineering Science, No. 333, Longteng Road, Songjiang District, Shanghai 201620, People's Republic of China.

School of Psychology, Shanghai University of Sport, No. 650, Qingyuanhuan Road, Yangpu District, Shanghai 201620, People's Republic of China; Key Laboratory of Motor Cognitive Assessment and Regulation, Shanghai University of Sport, No. 650, Qingyuanhuan Road, Yangpu District, Shanghai 201620, People's Republic of China.

出版信息

Neuroscience. 2024 May 14;546:33-40. doi: 10.1016/j.neuroscience.2024.03.016. Epub 2024 Mar 19.

DOI:10.1016/j.neuroscience.2024.03.016
PMID:38513759
Abstract

An exceptional ability to accurately anticipate an opponent's action is paramount for competitive athletes and highlights their experiential mastery. Despite conventional associations of action observation with specific brain regions, neuroimaging discrepancies persist. To explore the brain regions and neural mechanisms undergirding action anticipation, we compared distinct brain activation patterns involved in table tennis serve anticipation of expert table tennis athletes vs. non-experts by using both univariate analysis and multivoxel pattern analysis (MVPA). We collected functional magnetic resonance imaging data from 29 table tennis experts and 34 non-experts as they pressed a button to predict the trajectory of a ball in a table tennis serve video truncated at the moment of racket-ball contact vs. pressing any button while viewing a static image of the first video frame. MVPA was applied to assess whether it could accurately differentiate experts from non-experts. MVPA results indicated moderate accuracy (90.48%) for differentiating experts from non-experts. Brain regions contributing most to the differentiation included the left cerebellum, the vermis, the right middle temporal pole, the inferior parietal cortex, the bilateral paracentral lobule, and the left supplementary motor area. The findings suggest that brain regions associated with cognitive conflict monitoring and motor cognition contribute to the action anticipation ability of expert table tennis players.

摘要

出色地准确预测对手的动作对于竞技运动员至关重要,这突显了他们的经验掌握能力。尽管传统上将动作观察与特定的大脑区域联系起来,但神经影像学的差异仍然存在。为了探索动作预测的大脑区域和神经机制,我们通过使用单变量分析和多体素模式分析(MVPA)比较了专家乒乓球运动员和非专家在乒乓球发球预测中的不同大脑激活模式。我们从 29 名乒乓球专家和 34 名非专家那里收集了功能磁共振成像数据,当他们看到乒乓球发球视频时,在球拍触球的那一刻按下按钮预测球的轨迹,或者在观看第一个视频帧的静态图像时按下任何按钮。MVPA 用于评估它是否可以准确地区分专家和非专家。MVPA 结果表明,区分专家和非专家的准确率为 90.48%。对区分最有贡献的大脑区域包括左小脑、蚓部、右颞中极、下顶叶皮层、双侧旁中央小叶和左辅助运动区。研究结果表明,与认知冲突监测和运动认知相关的大脑区域有助于专家乒乓球运动员的动作预测能力。

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