The changes of brain functional networks in young adult smokers based on independent component analysis
Wang, XianFu5,6; Xue, Ting4,6; Dong, Fang6; Li, Yangding3; Xie, Dongdong6; Liu, Chang6; Zhang, Ming6; Bi, Yanzhi1; Yuan, Kai2,6; Yu, Dahua6
刊名BRAIN IMAGING AND BEHAVIOR
2020-04-20
页码10
关键词Functional networks Resting state Young adult smokers Independent component analysis
ISSN号1931-7557
DOI10.1007/s11682-020-00289-4
产权排序5
文献子类article
英文摘要

Intrinsic functional connectivity (FC) networks, including the default mode network (DMN), central executive network (CEN), and salience network (SN), have been implicated in nicotine addiction. However, litter evidence exists about the abnormalities in the three networks in young adult smokers. Forty-eight young adult smokers and 49 age- and gender-matched non-smokers were recruited in the present study. Resting-state functional magnetic resonance imaging (fMRI) data were analyzed by a combination of independent component analysis (ICA) and dual regression to identify potential differences of FC patterns in the DMN, CEN, and SN. Compared to non-smokers, young adult smokers showed enhanced FC of the left posterior cingulate cortex (LPCC), right medial prefrontal cortex (RMPFC) and right precuneus within the DMN network, of the right dorsolateral prefrontal cortex (DLPFC) within the right CEN, and of the left anterior insula (LAI) within the SN. We also found increased FC between the DMN, CEN and key node of the SN (anterior insula, AI). Correlation analysis showed that the increased FC within the networks was significantly correlated with smoking behaviors (pack-years, smoking duration, FTND, first smoking age, and number of cigarettes per day). Our findings may provide additional evidence for conceptualizing the framework of nicotine addiction as a disease of intercommunicating brain networks.

资助项目National Natural Science Foundation of China[81571753] ; National Natural Science Foundation of China[81571751] ; National Natural Science Foundation of China[81871430] ; National Natural Science Foundation of China[81871426] ; National Natural Science Foundation of China[61771266] ; National Natural Science Foundation of China[81701780] ; National Natural Science Foundation of China[31800926] ; National Natural Science Foundation of China[81401478] ; National Natural Science Foundation of China[81401488] ; National Natural Science Foundation of China[81470816] ; National Natural Science Foundation of China[81471737] ; Fundamental Research Funds for the Central Universities[JB151204] ; program for Young adult Talents of Science and Technology in Universities of Inner Mongolia Autonomous Region[NJYT-17-B11] ; Natural Science Foundation of Inner Mongolia[2017MS(LH)0814] ; Natural Science Foundation of Inner Mongolia[2018LH08079] ; Natural Science Foundation of Inner Mongolia[2019JQ07] ; program of Science and Technology in Universities of Inner Mongolia Autonomous Region[NJZY17262] ; Natural Science Basic Research Plan in Shaan-xi Province of China[2018JM7075] ; US National Institutes of Health[Y1AA3009]
WOS关键词WHITE-MATTER INTEGRITY ; DEFAULT-MODE ; RESTING BRAIN ; COGNITIVE-DEVELOPMENT ; WORKING-MEMORY ; ACUTE NICOTINE ; SMOKING CUES ; CONNECTIVITY ; ABSTINENCE ; ADDICTION
WOS研究方向Neurosciences & Neurology
语种英语
出版者SPRINGER
WOS记录号WOS:000527900800001
资助机构National Natural Science Foundation of China ; Fundamental Research Funds for the Central Universities ; program for Young adult Talents of Science and Technology in Universities of Inner Mongolia Autonomous Region ; Natural Science Foundation of Inner Mongolia ; program of Science and Technology in Universities of Inner Mongolia Autonomous Region ; Natural Science Basic Research Plan in Shaan-xi Province of China ; US National Institutes of Health
内容类型期刊论文
源URL[http://ir.psych.ac.cn/handle/311026/31692]  
专题心理研究所_中国科学院心理健康重点实验室
通讯作者Yuan, Kai; Yu, Dahua
作者单位1.Inst Psychol, CAS Key Lab Mental Hlth, Beijing 100101, Peoples R China
2.Xidian Univ, Sch Life Sci & Technol, Life Sci Res Ctr, Xian 710071, Shaanxi, Peoples R China
3.Hunan Normal Univ, Coll Informat Sci & Engn, Changsha 410081, Hunan, Peoples R China
4.Inner Mongolia Univ Sci & Technol, Sch Sci, Baotou 014010, Inner Mongolia, Peoples R China
5.Dezhou Peoples Hosp, Informat Ctr, Dezhou 253000, Shandong, Peoples R China
6.Inner Mongolia Univ Sci & Technol, Sch Informat Engn, Inner Mongolia Key Lab Pattern Recognit & Intelli, Baotou 014010, Inner Mongolia, Peoples R China
推荐引用方式
GB/T 7714
Wang, XianFu,Xue, Ting,Dong, Fang,et al. The changes of brain functional networks in young adult smokers based on independent component analysis[J]. BRAIN IMAGING AND BEHAVIOR,2020:10.
APA Wang, XianFu.,Xue, Ting.,Dong, Fang.,Li, Yangding.,Xie, Dongdong.,...&Yu, Dahua.(2020).The changes of brain functional networks in young adult smokers based on independent component analysis.BRAIN IMAGING AND BEHAVIOR,10.
MLA Wang, XianFu,et al."The changes of brain functional networks in young adult smokers based on independent component analysis".BRAIN IMAGING AND BEHAVIOR (2020):10.
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