不同情绪错误记忆的脑电微状态功能网络分析

doi:10.3785/j.issn.1008-973X.2025.01.005

浙江大学学报(工学版)

2025, Vol. 59

Issue (1): 49-61 DOI: 10.3785/j.issn.1008-973X.2025.01.005

计算机与控制工程

不同情绪错误记忆的脑电微状态功能网络分析

李宜轩1(

),李颖1,2,*(

),肖倩1,王灵月1,2,尹宁1,2,杨硕1,2

1. 河北工业大学生命科学与健康工程学院，河北省生物电磁与神经工程重点实验室，天津 300130
2. 河北工业大学生命科学与健康工程学院，天津市生物电工与智能健康重点实验室，天津 300130

EEG microstate functional network analysis of different emotional false memories

Yixuan LI1(

),Ying LI1,2,*(

),Qian XIAO1,Lingyue WANG1,2,Ning YIN1,2,Shuo YANG1,2

1. Hebei Key Laboratory of Bioelectromagnetics and Neural Engineering, School of Health Science and Biomedical Engineering, Hebei University of Technology, Tianjin 300130, China
2. Tianjin Key Laboratory of Bioelectricity and Intelligent Health, School of Health Science and Biomedical Engineering, Hebei University of Technology, Tianjin 300130, China

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摘要：

研究情绪对错误记忆的影响，有助于探究大脑的记忆加工机制. 采集不同情绪状态下错误记忆脑电信号，由微状态分析得到各情绪组模板图（微状态1~5），根据微状态拟合结果划分各情绪组记忆再认4个阶段（早期加工、熟悉性加工、情节性回想加工和后提取加工）的时间段，在时间覆盖率有显著差异的微状态内构建相位锁值脑功能网络. 从时间、空间2个角度分析脑电信号，结果表明各情绪组的大脑加工模式从情节回想加工阶段出现不同. 积极组在前额区活跃的微状态3、5中持续停留且脑功能性强；消极组在微状态1中持续停留且脑功能性差；中性组在中央区活跃的微状态3、4中持续停留. 积极组的时间和脑力资源多用于情节联想和推理，消极组的大脑处于低迷状态的时间长，中性组的时间和脑力资源多用于信息整合.

关键词： 脑电图（EEG）; 情绪; 错误记忆; 微状态; 脑功能网络

Abstract:

The research on the influence of emotions on false memory helps explore the memory-processing mechanisms of the brain. The EEG signals of false memories under different emotion states were collected. The microstate analysis was used to obtain the template maps for each emotion group named from microstate 1 to microstate 5, the time segmentation of the four stages of memory recognition (early processing, familiar processing, episodic recall processing and post-extraction processing) for the emotion groups were divided according to the microstate fitting results, and the phase-locked brain functional networks were constructed in microstates with significant difference in time coverage. The results analyzed of EEG signals from both the temporal perspective and the spatial perspective show that the brain processing patterns of the emotion groups begin to appear different from the episode recall processing stage. The positive group remains in the active microstates 3 and 5 of the prefrontal region and has strong brain function, the negative group remains in microstate 1 and has poor brain function, and the neutral group remains in the active microstates 3 and 4 of the central region. The positive group spends more time and mental resources on plot association and reasoning, while the negative group stays depressed for a longer time, and the neutral group devotes more time and mental resources to information integration.

Key words: electroencephalogram (EEG) emotions false memory microstate brain functional network

收稿日期: 2023-11-16 出版日期: 2025-01-18

CLC:

R 318

基金资助: 国家自然科学基金资助项目（51707055, 51877067）.

通讯作者: 李颖 E-mail: 2821563467@qq.com;yli@hebut.edu.cn

作者简介: 李宜轩（1996—），女，硕士生，从事智能医学与健康工程研究. orcid.org/0000-0002-0233-0228. E-mail：2821563467@qq.com

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引用本文:

李宜轩,李颖,肖倩,王灵月,尹宁,杨硕. 不同情绪错误记忆的脑电微状态功能网络分析[J]. 浙江大学学报(工学版), 2025, 59(1): 49-61.

Yixuan LI,Ying LI,Qian XIAO,Lingyue WANG,Ning YIN,Shuo YANG. EEG microstate functional network analysis of different emotional false memories. Journal of ZheJiang University (Engineering Science), 2025, 59(1): 49-61.

链接本文:

https://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2025.01.005 或 https://www.zjujournals.com/eng/CN/Y2025/V59/I1/49

图 1 迪斯-罗迪格-麦克德莫特范式实验流程图

图 2 错误记忆信号聚类效果与聚类数的关系图

图 3 微状态模板地形图

图 4 各情绪组错误记忆脑电信号的微状态拟合结果

图 5 微状态持续时间占比统计结果

图 6 脑区划分示意图

图 7 不同情绪组3种微状态的关联矩阵

图 8 不同情绪组在不同阈值下的全局效率

图 9 不同情绪组3种微状态的二值矩阵

图 10 不同情绪组3种微状态的脑网络图

表 1 各情绪组在不同微状态的度分布

表 2 不同微状态和不同情绪组的前10个脑网络关键节点

表 3 节点度单因素方差分析事后比较

表 4 局部效率单因素方差分析事后比较

表 5 全局效率单因素方差分析事后比较

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