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基于深度学习的电脑解码,对相滞后的横交替电流刺激进行解码.

Jeongwook Kwon1, Byoung-Kyong Min1,2

  • 1Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea.

Frontiers in human neuroscience
|July 7, 2025
PubMed
概括

电脑电图 (EEG) 信号可以解码交叉频率合交流电刺激 (CFC-tACS) 类型. 这种大脑刺激技术影响认知控制,为先进的大脑机器接口铺平了道路.

科学领域:

  • 神经科学是一个神经科学.
  • 认知科学 认知科学
  • 生物医学工程 生物医学工程

背景情况:

  • 非侵入性脑刺激技术,如交叉频率合交流电刺激 (CFC-tACS),旨在增强认知功能.
  • 了解大脑对不同刺激参数的反应对于优化这些技术至关重要.
  • 脑电图 (EEG) 是用于测量大脑活动的广泛使用的工具.

研究的目的:

  • 调查基于任务的EEG信号是否可以解码在线CFC-tACS的不同相位延迟类型.
  • 探索使用EEG来监测和解码神经调节期间大脑状态的潜力.
  • 评估结合神经调节的闭环脑机接口 (BMI) 系统的可行性.

主要方法:

  • 从21名健康参与者中收集了EEG数据,他们执行了修改后的斯特恩伯格任务.
  • 在线应用CFC-tACS,在中央执行网络和默认模式网络之间有45°或180°的相位延迟.
  • 一个修改后的EEGNet模型被训练在EEG信号上来解码应用的CFC-tACS条件.

主要成果:

  • 在使用平面EEG信号的情况下,EEGNet模型实现了81.73%的解码精度.
  • 功能图显示,该模型主要依赖于头顶区域的EEGβ活性.
关键词:
大脑刺激 刺激大脑认知系统 认知系统这是深度学习.电脑脑电图 (EEG) 是一种电脑电图.这是自上而下的处理.跨骨交替电流刺激

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  • 这表明tACS阶段滞后类型影响了自上而下的认知控制,反映在β频活动中.

    • 结论:

    • 基于任务的EEG信号能够解码在线CFC-tACS刺激类型.
    • 与任务相关的EEG光谱特征,特别是β活性,可以作为神经调节效应的指标.
    • 这项研究支持在闭环BMI神经调节系统中推进沟通策略.