He Huan, Xiao Xiaolin, Yue Jin, Xu Minpeng, Ming Dong
School of Precision Instrument and Opto-electronics Engineering, Tianjin University, Tianjin 300072, P. R. China.
Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, P. R. China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2025 Jun 25;42(3):620-627. doi: 10.7507/1001-5515.202501021.
In recent years, it has become a new direction in the field of neuroscience to explore the mode characteristics, functional significance and interaction mechanism of resting spontaneous electroencephalography (EEG) and task-evoked EEG. This paper introduced the basic characteristics of spontaneous EEG and task-evoked EEG, and summarized the core role of spontaneous EEG in shaping the adaptability of the nervous system. It focused on how the spontaneous EEG interacted with the task-evoked EEG in the process of task processing, and emphasized that the spontaneous EEG could significantly affect the performance of tasks such as perception, cognition and movement by regulating neural activities and predicting external stimuli. These studies provide an important theoretical basis for in-depth understanding of the principle and mechanism of brain information processing in resting and task states, and point out the direction for further exploring the complex relationship between them in the future.
近年来，探索静息态自发脑电图（EEG）与任务诱发EEG的模式特征、功能意义及相互作用机制已成为神经科学领域的一个新方向。本文介绍了自发EEG和任务诱发EEG的基本特征，总结了自发EEG在塑造神经系统适应性中的核心作用。重点探讨了在任务处理过程中自发EEG与任务诱发EEG如何相互作用，并强调自发EEG可通过调节神经活动和预测外部刺激显著影响感知、认知和运动等任务的表现。这些研究为深入理解静息态和任务态下脑信息处理的原理和机制提供了重要的理论基础，并为未来进一步探索它们之间的复杂关系指明了方向。
