基于脑电神经反馈的创伤后应激障碍辅助干预系统研究

谭理泽; 丁鹏; 王帆; 李娜; 龚安民; 南文雅; 李天文; 赵磊; 伏云发

doi:10.11999/JEIT250093

基于脑电神经反馈的创伤后应激障碍辅助干预系统研究

doi: 10.11999/JEIT250093

谭理泽^{1, 2},
丁鹏^{1, 2},
王帆^{1, 2},
李娜³,
龚安民⁴,
南文雅⁵,
李天文^{2, 6},
赵磊^{2, 6},
伏云发^{1, 2, ,}

1.
昆明理工大学信息工程与自动化学院昆明 650500
2.
昆明理工大学脑认知与脑机智能融合创新团队昆明 650500
3.
昆明医科大学附属第一医院昆明 650500
4.
武警工程大学信息工程学院西安 710000
5.
上海师范大学心理学院上海 200234
6.
昆明理工大学理学院昆明 650500

基金项目: 国家自然科学基金(82172058, 62376112, 81771926, 61763022, 62366026, 62006246)，中国博士后科学基金第73 批面上项目(2023M734315)，西安市青年人才托举计划(959202413100)

详细信息

作者简介:
谭理泽：男，硕士，研究方向为脑机接口

丁鹏：男，博士，研究方向为脑机接口

王帆：男，博士，研究方向为脑机接口

李娜：女，副主任医师，研究方向为精神障碍的诊断与治疗

龚安民：男，副教授，研究方向为脑机接口

南文雅：女，副教授，研究方向为神经反馈

李天文：男，讲师，研究方向为脑机接口

赵磊：女，副教授，研究方向为脑机接口

伏云发：男，教授，研究方向为脑机接口

通讯作者:
伏云发　fyf@ynu.edu.cn

中图分类号: TN911.7; TP391
计量
- 文章访问数: 46
- HTML全文浏览量: 28
- PDF下载量: 3
- 被引次数: 0
出版历程
- 收稿日期: 2025-02-18
- 修回日期: 2025-04-17
- 网络出版日期: 2025-05-08

Research on an EEG-based Neurofeedback System for the Auxiliary Intervention of Post-Traumatic Stress Disorder

TAN Lize^{1, 2},
DING Peng^{1, 2},
WANG Fan^{1, 2},
LI Na³,
GONG Anmin⁴,
NAN Wenya⁵,
LI Tianwen^{2, 6},
ZHAO Lei^{2, 6},
FU Yunfa^{1, 2
, ,}

1.
Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China
2.
Brain Cognition and Brain-computer Intelligence Integration Group, Kunming University of Science and Technology, Kunming 650500, China
3.
The First Affiliated Hospital of Kunming Medical University , Kunming 650500, China
4.
Faculty of Information Engineering, Engineering University of Armed Police Force, Xi’an 710000, China
5.
Faculty of Psychology, Shanghai Normal University, Shanghai 200234, China
6.
Faculty of Science, Kunming University of Science and Technology, Kunming 650500, China

Funds: The National Natural Science Foundation of China (82172058, 62376112, 81771926, 61763022, 62366026, 62006246), The 73rd batch of China Postdoctoral Science Foundation (2023M734315), Xi’an City Young Talent Support Plan (959202413100)

摘要

摘要: 针对现代社会中日益严重的应激障碍问题，该文设计开发了一个基于脑电(EEG)的神经反馈的调控系统(ENR)，旨在缓解因应激反应调节机制异常引起的创伤后应激障碍(PTSD)症状及相关焦虑问题，从而减轻其对个体身心健康的负面影响。该文详细介绍了系统的设计理念、功能模块构成，以及针对PTSD和健康人群设计的在线神经反馈实验范式。通过招募被试进行系统功能测试，并采用频谱分析对实验数据进行评估，可行性测试表明，该系统具备良好的实时性和有效性，是一种应用前景广阔的应对应激反应失调的辅助干预手段。
- 神经反馈 /
- 脑电图 /
- 创伤后应激障碍 /
- 脑机接口医学 /
- 脑机接口医学应用
Abstract: Objective The ElectroEncephaloGram (EEG)-based Neurofeedback Regulation (ENR) system is designed for real-time modulation of dysregulated stress responses to reduce symptoms of Post-Traumatic Stress Disorder (PTSD) and anxiety. This study evaluates the system’s effectiveness and applicability using a series of neurofeedback paradigms tailored for both PTSD patients and healthy participants. Methods Employing real-time EEG monitoring and feedback, the ENR system targets the regulation of alpha wave activity, to alleviate mental health symptoms associated with dysregulated stress responses. The system integrates MATLAB and Unity3D to support a complete workflow for EEG data acquisition, processing, storage, and visual feedback. Experimental validation includes both PTSD patients and healthy participants to assess the system’s effects on neuroplasticity and emotional regulation. Primary assessment indices include changes in alpha wave dynamics and self-reported reductions in stress and anxiety. Results Compared with conventional therapeutic methods, the ENR system shows significant potential in reducing symptoms of PTSD and anxiety. During functionality tests, the system effectively captures and regulates alpha wave activity, enabling real-time and efficient neurofeedback. Dynamic adjustment of feedback thresholds and task paradigms allows participants to improve stress responses and emotional states following training. Quantitative data indicate clear enhancements in EEG pattern modulation, while qualitative assessments reflect improvements in participants’ self-reported stress and anxiety levels. Conclusion This study presents an effective and practical EEG-based neurofeedback regulation system that proves applicable and beneficial for both individuals with PTSD and healthy participants. The successful implementation of the system provides a new technological approach for mental health interventions and supports ongoing personalized neuroregulation strategies. Future research should explore broader applications of the system across neurological conditions to fully assess its efficacy and scalability.
- Neurofeedback /
- ElectroEncephaloGram (EEG) /
- Post-Traumatic Stress Disorder (PTSD) /
- Brain-computer interface (BCI) medicine /
- Applications of BCI medicine

HTML全文

图 1 系统架构图

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图 2 ENR系统其他界面

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图 3 ENR系统主界面

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图 4 PTSD范式图

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图 5 Health范式图

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图 6 脑电极图

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图 7 在线实验图

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图 8 健康人群实验组结果图

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图 9 α波调节差异脑地形图

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图 10 训练前后状态焦虑量表(S-AI)总得分图

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表 1 PTSD实验组结果表

被试前静息后静息 trial数

S1 0.3214 0.3043 6
S2 0.2899 0.3114 10
S3 0.6390 0.6846 7
S4 0.3073 0.3292 9

下载: 导出CSV

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