Application of EEG in nicotine addiction research
10.3969/j.issn.1005-202X.2024.12.011
- VernacularTitle:EEG在尼古丁成瘾领域中的应用研究
- Author:
Zhiwei REN
1
;
Yuxin MA
;
Ting XUE
;
Fang DONG
;
Yongxin CHENG
;
Juan WANG
;
Youwei DONG
;
Yiming LU
;
Dahua YU
;
Kai YUAN
Author Information
1. 内蒙古科技大学数智产业学院,内蒙古 包头 014010
- Publication Type:Journal Article
- Keywords:
electroencephalogram;
nicotine addiction;
sleep;
cognitive function;
review
- From:
Chinese Journal of Medical Physics
2024;41(12):1537-1542
- CountryChina
- Language:Chinese
-
Abstract:
Smoking is a major concern in today's society,and the nicotine in tobacco is the major cause of addiction and difficulty in withdrawal.Long-term use of nicotine not only results in abnormal neural oscillations in the brain,but also impairs reward circuits as well as emotion regulation,thus reducing neuroplasticity and increasing susceptibility to addiction.As electrophysiological signals,electroencephalogram(EEG)signals are associated with a variety of states including cognitive function,emotion regulation,inhibitory control,and sleep.The researches on nicotine addiction reveal that changes in EEG signals are associated with abnormalities in cognitive function and inhibitory control in nicotine addicts.Therefore,exploring the abnormal neural oscillation patterns of nicotine addicts through EEG-related techniques can deepen the understanding of the intrinsic neural mechanisms of nicotine addiction and provide a scientific basis for the intervention and treatment of nicotine addiction.Herein the study summarizes the research achievements of scholars at home and abroad in recent years from the aspects of the application status of EEG in nicotine addiction researches as well as the current technology.It is found that nicotine addicts have obvious abnormalities in sleep quality,cognitive function and inhibitory control.In addition,the functional brain connectivity,event-related potentials and EEG power spectra of addicts are significantly changed.Finally,an outlook on the research prospects of EEG signals in nicotine addiction is provided,emphasizing the potential applications of EEG signals in addiction mechanisms,withdrawal responses,and assessment of treatment efficacy.
