跳跃到预测:在道比赛中听觉和视觉预测
Sophie Siestrup1, Marc Dührkop1, Viviana Villafañe Barraza2
1Department of Psychology, University of Münster, Fliednerstraße 21, 48149 Münster, Germany; Otto Creutzfeldt Center for Cognitive and Behavioral Neuroscience, University of Münster, Fliednerstraße 21, 48149 Münster, Germany.
NeuroImage
|December 21, 2025
概括
大脑使用内部模型来预测当感官输入缺失时的运动. 障碍训练改善了这些预测,特别是在视觉信息方面,显示出灵活的脑网络招募.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 发动机控制器的控制器
背景情况:
- 大脑整合多感官信息 (听觉,视觉) 来创造一个连贯的感知.
- 由经验塑造的内部预测模型对于在感官剥夺期间保持知觉至关重要.
- 像杆跳这样的复杂运动需要复杂的感觉运动集成和预测.
研究的目的:
- 为了研究大脑如何在运动预测任务中补偿暂时的听觉和视觉掩饰.
- 检查预测准确性和依赖内部模型的基础的神经机制.
- 评估传感运动训练 (阻碍) 对预测能力和神经激活模式的影响.
主要方法:
- 功能性磁共振成像 (fMRI) 用于监测参与者观看蒙面障碍比赛视频时的脑活动.
- 参与者在视觉掩饰,听觉掩饰或组合掩饰的条件下执行了运动预测任务.
- 在fMRI课程之间实施了为期六周的障碍训练干预,以增强传感运动模型.
主要成果:
- 当听觉或视觉输入被掩盖时,预测准确性显著下降.
- 在视觉掩饰下,参与者对听觉输入的依赖增加,并参与了额头,运动和视觉区域,这表明了上下视觉预测.
- 障碍训练提高了预测准确度,并且在前部控制和视觉运动区域观察到相关的神经变化,这表明视觉预测的内部模型得到了增强.
结论:
- 大脑根据可用的感官输入灵活地招募特定模式网络,在缺少视觉信息时利用自上而下的预测.
- 感官运动训练加强了内部模型,导致更有效的预测处理,特别是视觉信息.
- 这些发现突出了感官输入,内部模型和感知预测中的运动学习之间的动态相互作用.
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