[1]陈枭宇,随力,李丽.脑电神经反馈训练在提高工作记忆中应用的研究与挑战[J].中国医学物理学杂志,2022,39(8):987-991.[doi:DOI:10.3969/j.issn.1005-202X.2022.08.012]
　CHEN Xiaoyu,SUI Li,LI Li.Advances and challenges of EEG neurofeedback training in improving working memory[J].Chinese Journal of Medical Physics,2022,39(8):987-991.[doi:DOI:10.3969/j.issn.1005-202X.2022.08.012]
点击复制

脑电神经反馈训练在提高工作记忆中应用的研究与挑战()
分享到：

《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
39卷
期数:
2022年第8期
页码:
987-991
栏目:
医学信号处理与医学仪器
出版日期:
2022-08-04

文章信息/Info

Title:
Advances and challenges of EEG neurofeedback training in improving working memory
文章编号:
1005-202X（2022）08-0987-05
作者:
陈枭宇; 随力; 李丽
上海理工大学健康科学与工程学院， 上海 200093
Author(s):
CHEN Xiaoyu;  SUI Li;  LI Li
School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
关键词:
脑电; 神经反馈; 工作记忆; 认知功能; 综述
Keywords:
Keywords: electroencephalography neurofeedback working memory cognitive function review
分类号:
R318
DOI:
DOI:10.3969/j.issn.1005-202X.2022.08.012
文献标志码:
A
摘要:
脑电（EEG）神经反馈技术是基于脑科学和行为认知科学发展形成的一种非侵入式、改善大脑功能和结构的训练方法。工作记忆是个体在心理认知活动中保持和加工信息的记忆系统，在人类学习、推理和创造力等高级认知活动中发挥着重要作用。将EEG神经反馈技术应用于工作记忆训练中，能有效提升个体工作记忆绩效，调节个体的精神、情感状态及相关脑区的认知功能。本文以EEG神经反馈技术在工作记忆训练中的应用研究与挑战为综述对象，从EEG神经反馈调控工作记忆的神经信息处理工程、EEG神经反馈作用工作记忆的相关激活脑区、基于EEG神经反馈工作记忆训练的系统构成和训练类型、基于EEG神经反馈的工作记忆训练系统的影响因素，以及对目前相关研究存在的问题和未来研究发展趋势等情况进行全面综述。
Abstract:
Abstract: Electroencephalography (EEG) neurofeedback technology is a non-invasive training method based on the development of brain science and behavioral cognitive science to improve brain function and structure. Working memory is a memory system in individuals for maintaining and processing information in psychological cognitive activities, and it plays an important role in human learning, reasoning and creativity and other advanced cognitive activities. Applying EEG neurofeedback technology to working memory training can effectively improve individual working memory performance, regulate individual mental and emotional states, and improve cognitive functions of related brain areas. The researches on the application and challenges of EEG neurofeedback technology in working memory training are included in the study, and a comprehensive review is carried out from the aspects of EEG neurofeedback to regulate the neural information processing engineering of working memory, EEG neurofeedback to activate working memory and related activation brain regions, the system composition and training types of working memory training based on electrical neurofeedback, the influencing factors of the working memory training system based on EEG neurofeedback. Furthermore, the problems existing in current related researches and the development trend of future research are discussed.

相似文献/References:

[1]覃莉,刘海华. 模拟神经反馈机制的显著性计算模型[J].中国医学物理学杂志,2017,34(5):494.[doi:DOI:10.3969/j.issn.1005-202X.2017.05.013]
　[J].Chinese Journal of Medical Physics,2017,34(8):494.[doi:DOI:10.3969/j.issn.1005-202X.2017.05.013]
[2]杨芳,李涛.基于能量特征和模糊熵的睡眠自动分期[J].中国医学物理学杂志,2017,34(9):968.[doi:DOI:10.3969/j.issn.1005-202X.2017.09.022]
　[J].Chinese Journal of Medical Physics,2017,34(8):968.[doi:DOI:10.3969/j.issn.1005-202X.2017.09.022]
[3]丁正敏,熊冬生,陈宇珂,等. 基于脑电样本熵和小波熵的麻醉深度监测[J].中国医学物理学杂志,2018,35(2):243.[doi:DOI:10.3969/j.issn.1005-202X.2018.02.024]
　DING Zhengmin,XIONG Dongsheng,CHEN Yuke,et al. Sample entropy and wavelet entropy of electroencephalogram for monitoring the depth of anesthesia[J].Chinese Journal of Medical Physics,2018,35(8):243.[doi:DOI:10.3969/j.issn.1005-202X.2018.02.024]
[4]欧朗,赵越,李晓欧.NIRS-EEG联合检测技术在脑功能分析中的研究进展[J].中国医学物理学杂志,2020,37(10):1323.[doi:DOI:10.3969/j.issn.1005-202X.2020.10.019]
　OU Lang,ZHAO Yue,LI Xiaoou.Advances of near infrared spectroscopy combined with electroencephalogram in brain function analysls[J].Chinese Journal of Medical Physics,2020,37(8):1323.[doi:DOI:10.3969/j.issn.1005-202X.2020.10.019]
[5]杨兰,随力,刘亮,等.不同视错觉刺激诱发的事件相关电位的脑电研究进展[J].中国医学物理学杂志,2021,38(5):613.[doi:DOI:10.3969/j.issn.1005-202X.2021.05.017]
　YANG Lan,SUI Li,LIU Liang,et al.Advances in research on event-related potentials evoked by different visual illusions[J].Chinese Journal of Medical Physics,2021,38(8):613.[doi:DOI:10.3969/j.issn.1005-202X.2021.05.017]
[6]李凌,张婷婷,谢珂.基于Unity3D的脑电图检测与分析虚拟仿真实验项目的设计和开发[J].中国医学物理学杂志,2021,38(5):631.[doi:DOI:10.3969/j.issn.1005-202X.2021.05.020]
　LI Ling,ZHANG Tingting,XIE Ke.Design and development of a Unity3D-based virtual simulation experiment platform for electroencephalogram detection and analysis[J].Chinese Journal of Medical Physics,2021,38(8):631.[doi:DOI:10.3969/j.issn.1005-202X.2021.05.020]
[7]王冲,周静,李文豪,等.脑电在脑卒中运动功能评估中的应用研究进展[J].中国医学物理学杂志,2023,40(10):1309.[doi:DOI:10.3969/j.issn.1005-202X.2023.10.020]
　WANG Chong,ZHOU Jing,LI Wenhao,et al.Application of electroencephalography in assessment of motor function in stroke patients: a review[J].Chinese Journal of Medical Physics,2023,40(8):1309.[doi:DOI:10.3969/j.issn.1005-202X.2023.10.020]

备注/Memo

备注/Memo:
【收稿日期】2022-02-06 【基金项目】国家自然科学基金（11179015）；上海理工大学科技发展项目（2019KJFZ239, 2020KJFZ232） 【作者简介】陈枭宇，硕士研究生，研究方向：脑机接口、神经调控，E-mail: georgechenn@163.com 【通信作者】随力，研究方向：脑电信号、神经工程，E-mail: lsui@usst.edu.cn
更新日期/Last Update: 2022-09-05