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目标到达估计中策略性早期预测性扫视行为的神经动力学

Neural Dynamics of Strategic Early Predictive Saccade Behavior in Target Arrival Estimation.

作者信息

Koshizawa Ryo, Oki Kazuma, Takayose Masaki

机构信息

College of Economics, Nihon University, Tokyo 101-0061, Japan.

College of Science and Technology, Nihon University, Chiba 274-8501, Japan.

出版信息

Brain Sci. 2025 Jul 15;15(7):750. doi: 10.3390/brainsci15070750.

DOI:10.3390/brainsci15070750
PMID:40722340
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12293599/
Abstract

: Accurately predicting the arrival position of a moving target is essential in sports and daily life. While predictive saccades are known to enhance performance, the neural mechanisms underlying the timing of these strategies remain unclear. This study investigated how the timing of saccadic strategies-executed early versus late-affects cortical activity patterns, as measured by electroencephalography (EEG). : Sixteen participants performed a task requiring them to predict the arrival position and timing of a parabolically moving target that became occluded midway through its trajectory. Based on eye movement behavior, participants were classified into an Early Saccade Strategy Group (SSG) or a Late SSG. EEG signals were analyzed in the low beta band (13-15 Hz) using the Hilbert transform. Group differences in eye movements and EEG activity were statistically assessed. : No significant group differences were observed in final position or response timing errors. However, time-series analysis showed that the Early SSG achieved earlier and more accurate eye positioning. EEG results revealed greater low beta activity in the Early SSG at electrode sites FC6 and P8, corresponding to the frontal eye field (FEF) and middle temporal (MT) visual area, respectively. : Early execution of predictive saccades was associated with enhanced cortical activity in visuomotor and motion-sensitive regions. These findings suggest that early engagement of saccadic strategies supports more efficient visuospatial processing, with potential applications in dynamic physical tasks and digitally mediated performance domains such as eSports.

摘要

准确预测移动目标的到达位置在体育和日常生活中至关重要。虽然已知预测性扫视可提高表现,但这些策略的时间安排背后的神经机制仍不清楚。本研究调查了扫视策略的执行时间(早期与晚期)如何影响皮层活动模式,通过脑电图(EEG)进行测量。

16名参与者执行了一项任务,要求他们预测抛物线运动目标的到达位置和时间,该目标在其轨迹中途被遮挡。根据眼动行为,参与者被分为早期扫视策略组(SSG)或晚期SSG。使用希尔伯特变换在低β波段(13 - 15赫兹)分析EEG信号。对眼动和EEG活动的组间差异进行了统计评估。

在最终位置或反应时间误差方面未观察到显著的组间差异。然而,时间序列分析表明,早期SSG实现了更早且更准确的眼位定位。EEG结果显示,早期SSG在电极部位FC6和P8处有更大的低β活动,分别对应额叶眼区(FEF)和颞中(MT)视觉区域。

预测性扫视的早期执行与视觉运动和运动敏感区域的皮层活动增强有关。这些发现表明,扫视策略的早期参与支持更有效的视觉空间处理,在动态体育任务和数字介导的表现领域(如电子竞技)具有潜在应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d62/12293599/9e320deeb9f8/brainsci-15-00750-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d62/12293599/0739a18ed9d4/brainsci-15-00750-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d62/12293599/942066cfdebe/brainsci-15-00750-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d62/12293599/9e320deeb9f8/brainsci-15-00750-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d62/12293599/0739a18ed9d4/brainsci-15-00750-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d62/12293599/942066cfdebe/brainsci-15-00750-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d62/12293599/9e320deeb9f8/brainsci-15-00750-g003.jpg

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