Advances in EEG research on smoking addiction
10.3969/j.issn.1005-202X.2025.09.011
- VernacularTitle:吸烟成瘾的脑电研究进展
- Author:
Fang DONG
1
;
Xiaojian LI
;
Yanhong XU
;
Ting XUE
;
Dahua YU
Author Information
1. 内蒙古科技大学机械工程学院,内蒙古 包头 014010;内蒙古科技大学数智产业学院,内蒙古 包头 014010
- Publication Type:Journal Article
- Keywords:
smoker;
electroencephalogram;
event-related potential;
review
- From:
Chinese Journal of Medical Physics
2025;42(9):1197-1200
- CountryChina
- Language:Chinese
-
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.
