[1]董芳,李晓健,徐艳红,等.吸烟成瘾的脑电研究进展[J].中国医学物理学杂志,2025,42(9):1197-1200.[doi:DOI:10.3969/j.issn.1005-202X.2025.09.011]
　DONG Fang,LI Xiaojian,et al.Advances in EEG research on smoking addiction[J].Chinese Journal of Medical Physics,2025,42(9):1197-1200.[doi:DOI:10.3969/j.issn.1005-202X.2025.09.011]
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吸烟成瘾的脑电研究进展()

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

卷:
42
期数:
2025年第9期
页码:
1197-1200
栏目:
医学信号处理与医学仪器
出版日期:
2025-09-30

文章信息/Info

Title:
Advances in EEG research on smoking addiction
文章编号:
1005-202X（2025）09-1197-04
作者:
董芳1; 2; 李晓健3; 徐艳红4; 薛婷5; 喻大华4
1.内蒙古科技大学机械工程学院， 内蒙古 包头 014010； 2.内蒙古科技大学数智产业学院， 内蒙古 包头 014010； 3.内蒙古大学创业学院， 内蒙古 呼和浩特 010070； 4.内蒙古科技大学自动化与电气工程学院， 内蒙古 包头 014010； 5.内蒙古科技大学理学院， 内蒙古 包头 014010
Author(s):
DONG Fang1;  2;  LI Xiaojian3;  XU Yanhong4;  XUE Ting5;  YU Dahua4
1. School of Mechanical Engineering, Inner Mongolia University of Science and Technology, Baotou 014010, China 2. School of Digital and Intelligent Industry, Inner Mongolia University of Science and Technology, Baotou 014010, China 3. Pioneer College, Inner Mongolia University, Hohhot 010070, China 4. School of Automation and Electrical Engineering, Inner Mongolia University of Science and Technology, Baotou 014010, China 5. School of Science, Inner Mongolia University of Science and Technology, Baotou 014010, China
关键词:
吸烟者; 脑电; 事件相关电位; 综述
Keywords:
Keywords: smoker electroencephalogram event-related potential review
分类号:
R318
DOI:
DOI:10.3969/j.issn.1005-202X.2025.09.011
文献标志码:
A
摘要:
脑电（EEG）是指人脑内神经元放电产生的电活动，通常记录在大脑头皮上，可以在非侵入式的情况下探测大脑皮层中神经元群的电生理活动，通过高时间分辨率来记录毫秒级别大脑的电位变化。近几年，国内外众多的科研人员将脑电技术投入到吸烟成瘾领域的研究中，进而探究吸烟人群的大脑内毫秒级别的电生理变化。本文主要阐述吸烟成瘾者在静息态EEG和任务态事件相关电位EEG研究中的进展，总结吸烟者大脑的电生理活动变化，未来将结合纵向追踪和机器学习等方法，进一步探究EEG特征与吸烟行为的相互关系，为吸烟成瘾的早期干预和治疗提供科学依据。
Abstract:
Abstract: Electroencephalogram (EEG) refers to the electrical activity generated by neuronal discharges in the human brain, conventionallyrecorded on the scalp of the brain. EEG technology enables the non-invasive detection of electrophysiological activity in neuronal populations within the cerebral cortex, capturing millisecond-level changes in brain potentials with high temporal resolution. In recent years, lots of international researchers have leveraged EEG technology to investigate smoking addiction and further explore the millisecond-level electrophysiological changes in the brains of smokers. This review synthesizes recent advances in resting-state EEG and task-evoked event-related potential research among smokers, summarizing the electrophysiological activity changes associated with smoking addiction. Future researches will employ both longitudinal tracking and machine learning algorithms to further reveal the relationship between EEG signatures and smoking behaviors, thereby providing a scientific foundation for early intervention and treatment strategies targeting smoking addiction.

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备注/Memo

备注/Memo:
【收稿日期】2024-10-26 【项目基金】国家自然科学基金（82260359, 61971451）；内蒙古自治区自然科学基金（2023QN08007, 2025MS08027, 2025MS08098）；内蒙古自治区高校基本科研业务费项目（2023QNJS204, 2023QNJS206, 2024QNJS119） 【作者简介】董芳，硕士，讲师，研究方向：脑电信号处理，E-mail: dongfang@imust.edu.cn 【通信作者】徐艳红，硕士，讲师，研究方向：信号处理，E-mail: xu_yanhong@yeah.net
更新日期/Last Update: 2025-09-30