无监督识别影响心理运动表现的内部感知状态
Ozan Vardal1, Theodoros Karapanagiotidis2, Tom Stafford3
1Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, No. 825, Zhangheng Road, Zhangjiang High Tech Park, Shanghai, 200120, China.
NeuroImage
|March 18, 2025
概括
在重复性任务中,人类的表现在参与和脱离状态之间波动. 这些独特的行为状态与神经活动的变化相关,特别是头阿尔法功率,表明视觉空间注意力的转变.
科学领域:
- 认知神经科学 认知神经科学
- 神经科学是一个神经科学.
- 心理学 心理学 心理学
背景情况:
- 人类在重复性任务上的表现是可变的,在参与,脱离和流动状态之间转移.
- 这些行为状态影响性能指标,如反应时间和准确性.
- 从历史上看,将这些行为状态与潜在的神经机制联系起来一直是具有挑战性的.
研究的目的:
- 为了确定在复杂的任务中是否可以从行为数据中推断出不同的行为状态.
- 调查这些已识别的行为状态是否具有明显的神经相关性.
- 探索行为状态和神经活动之间的关系,特别是尾阿尔法功率.
主要方法:
- 获得了磁脑电图 (MEG) 记录和参与者玩Tetris的密集行为数据.
- 利用隐藏的马尔科夫建模将行为时间序列细分为不同的状态.
- 对参与者中每个已识别的行为状态进行计算的尾阿尔法功率.
主要成果:
- 通过使用隐藏的马尔科夫建模,确定了三种独特而强大的行为状态.
- 在这些状态中发现尾α功率在参与者内部具有统计学意义的差异.
- 证明个人在执行复杂任务时在行为和神经上不同的状态之间转移.
结论:
- 在复杂的任务中,可以从行为数据中推断出不同的行为状态.
- 这些行为状态与明显的神经相关物有关,特别是尾α功率的变化.
- 在这些已识别的行为和神经状态中,视觉空间注意力有所不同.
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