Fang Dong , Zhimin Zhou , Zhiwei Ren , Yongxin Cheng , Yuxin Ma , Juan Wang , Ting Xue , Dahua Yu , Gengdi Huang , Kai Yuan , Xiaoqi Lu
{"title":"脑电图微观状态预测青少年吸烟者12小时戒断诱导的渴望变化","authors":"Fang Dong , Zhimin Zhou , Zhiwei Ren , Yongxin Cheng , Yuxin Ma , Juan Wang , Ting Xue , Dahua Yu , Gengdi Huang , Kai Yuan , Xiaoqi Lu","doi":"10.1016/j.addbeh.2025.108395","DOIUrl":null,"url":null,"abstract":"<div><div>Nicotine abstinence inhibits the function of the mesolimbic dopamine system to enhance craving. EEG microstates may provide spatiotemporal characteristics of global brain neuronal activity. However, little is known about the temporal dynamics and spatial topography of microstates in young smokers after abstinence. At the same time, in order to explore the neurophysiological mechanisms of craving induced by smoking abstinence, baseline microstates indicators were applied to predict craving changes. This study compared the microstates characteristics in 53 young male smokers and 48 matched nonsmokers. A 12-hour smoking abstinence procedure was designed for smokers, and their craving levels were measured using the Questionnaire on Smoking Urges (QSU). Furthermore, smokers were divided into high-craving and low-craving groups based on whether their craving changes increased after abstinence. We investigated the differences of microstates indicators before and after abstinence, and explored the relationships between baseline EEG microstates characteristics and smoking craving changes. The machine learning methods were used to predict abstinence-induced craving changes. We observed that the 12-h abstinence procedure significantly decreased the explained variance, duration, occurrence and coverage of microstates class D in 53 smokers. Craving changes induced by abstinence were significantly positively correlated with the explained variance, duration, occurrence and coverage of class D at baseline. The baseline microstates characteristics in smokers predicted abstinence-induced craving changes with an accuracy of 70.18%. These findings suggest that EEG microstates features can serve as key functional biomarkers for abstinence-induced craving in young smokers, providing novel insights for developing personalized abstinence intervention strategies based on EEG characteristics.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"169 ","pages":"Article 108395"},"PeriodicalIF":3.6000,"publicationDate":"2025-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Electroencephalography microstates predict 12-h abstinence-induced craving changes in young smokers\",\"authors\":\"Fang Dong , Zhimin Zhou , Zhiwei Ren , Yongxin Cheng , Yuxin Ma , Juan Wang , Ting Xue , Dahua Yu , Gengdi Huang , Kai Yuan , Xiaoqi Lu\",\"doi\":\"10.1016/j.addbeh.2025.108395\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Nicotine abstinence inhibits the function of the mesolimbic dopamine system to enhance craving. EEG microstates may provide spatiotemporal characteristics of global brain neuronal activity. However, little is known about the temporal dynamics and spatial topography of microstates in young smokers after abstinence. At the same time, in order to explore the neurophysiological mechanisms of craving induced by smoking abstinence, baseline microstates indicators were applied to predict craving changes. This study compared the microstates characteristics in 53 young male smokers and 48 matched nonsmokers. A 12-hour smoking abstinence procedure was designed for smokers, and their craving levels were measured using the Questionnaire on Smoking Urges (QSU). Furthermore, smokers were divided into high-craving and low-craving groups based on whether their craving changes increased after abstinence. We investigated the differences of microstates indicators before and after abstinence, and explored the relationships between baseline EEG microstates characteristics and smoking craving changes. The machine learning methods were used to predict abstinence-induced craving changes. We observed that the 12-h abstinence procedure significantly decreased the explained variance, duration, occurrence and coverage of microstates class D in 53 smokers. Craving changes induced by abstinence were significantly positively correlated with the explained variance, duration, occurrence and coverage of class D at baseline. The baseline microstates characteristics in smokers predicted abstinence-induced craving changes with an accuracy of 70.18%. These findings suggest that EEG microstates features can serve as key functional biomarkers for abstinence-induced craving in young smokers, providing novel insights for developing personalized abstinence intervention strategies based on EEG characteristics.</div></div>\",\"PeriodicalId\":7155,\"journal\":{\"name\":\"Addictive behaviors\",\"volume\":\"169 \",\"pages\":\"Article 108395\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2025-05-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Addictive behaviors\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S030646032500156X\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHOLOGY, CLINICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Addictive behaviors","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S030646032500156X","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, CLINICAL","Score":null,"Total":0}
Electroencephalography microstates predict 12-h abstinence-induced craving changes in young smokers
Nicotine abstinence inhibits the function of the mesolimbic dopamine system to enhance craving. EEG microstates may provide spatiotemporal characteristics of global brain neuronal activity. However, little is known about the temporal dynamics and spatial topography of microstates in young smokers after abstinence. At the same time, in order to explore the neurophysiological mechanisms of craving induced by smoking abstinence, baseline microstates indicators were applied to predict craving changes. This study compared the microstates characteristics in 53 young male smokers and 48 matched nonsmokers. A 12-hour smoking abstinence procedure was designed for smokers, and their craving levels were measured using the Questionnaire on Smoking Urges (QSU). Furthermore, smokers were divided into high-craving and low-craving groups based on whether their craving changes increased after abstinence. We investigated the differences of microstates indicators before and after abstinence, and explored the relationships between baseline EEG microstates characteristics and smoking craving changes. The machine learning methods were used to predict abstinence-induced craving changes. We observed that the 12-h abstinence procedure significantly decreased the explained variance, duration, occurrence and coverage of microstates class D in 53 smokers. Craving changes induced by abstinence were significantly positively correlated with the explained variance, duration, occurrence and coverage of class D at baseline. The baseline microstates characteristics in smokers predicted abstinence-induced craving changes with an accuracy of 70.18%. These findings suggest that EEG microstates features can serve as key functional biomarkers for abstinence-induced craving in young smokers, providing novel insights for developing personalized abstinence intervention strategies based on EEG characteristics.
期刊介绍:
Addictive Behaviors is an international peer-reviewed journal publishing high quality human research on addictive behaviors and disorders since 1975. The journal accepts submissions of full-length papers and short communications on substance-related addictions such as the abuse of alcohol, drugs and nicotine, and behavioral addictions involving gambling and technology. We primarily publish behavioral and psychosocial research but our articles span the fields of psychology, sociology, psychiatry, epidemiology, social policy, medicine, pharmacology and neuroscience. While theoretical orientations are diverse, the emphasis of the journal is primarily empirical. That is, sound experimental design combined with valid, reliable assessment and evaluation procedures are a requisite for acceptance. However, innovative and empirically oriented case studies that might encourage new lines of inquiry are accepted as well. Studies that clearly contribute to current knowledge of etiology, prevention, social policy or treatment are given priority. Scholarly commentaries on topical issues, systematic reviews, and mini reviews are encouraged. We especially welcome multimedia papers that incorporate video or audio components to better display methodology or findings.
Studies can also be submitted to Addictive Behaviors? companion title, the open access journal Addictive Behaviors Reports, which has a particular interest in ''non-traditional'', innovative and empirically-oriented research such as negative/null data papers, replication studies, case reports on novel treatments, and cross-cultural research.