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The changes of brain functional networks in young adult smokers based on independent component analysis
Wang, XianFu1,2; Xue, Ting1,3; Dong, Fang1; Li, Yangding4; Xie, Dongdong1; Liu, Chang1; Zhang, Ming1; Bi, Yanzhi5; Yuan, Kai1,6; Yu, Dahua1
First AuthorWang, XianFu
Correspondent Emailkai yuan kyuan@xidian.edu.cn ; dahua yu fmydh@imust.edu.cn
Contribution Rank5
Abstract

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.

KeywordFunctional networks Resting state Young adult smokers Independent component analysis
2020-04-20
Language英语
DOI10.1007/s11682-020-00289-4
Source PublicationBRAIN IMAGING AND BEHAVIOR
ISSN1931-7557
Pages10
Subtypearticle
Indexed BySCI
Funding ProjectNational 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]
PublisherSPRINGER
WOS KeywordWHITE-MATTER INTEGRITY ; DEFAULT-MODE ; RESTING BRAIN ; COGNITIVE-DEVELOPMENT ; WORKING-MEMORY ; ACUTE NICOTINE ; SMOKING CUES ; CONNECTIVITY ; ABSTINENCE ; ADDICTION
WOS Research AreaNeurosciences & Neurology
WOS SubjectNeuroimaging
WOS IDWOS:000527900800001
QuartileQ2
Citation statistics
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/31693
Collection中国科学院心理健康重点实验室
Corresponding AuthorYuan, Kai; Yu, Dahua
Affiliation1.Inner Mongolia Univ Sci & Technol, Sch Informat Engn, Inner Mongolia Key Lab Pattern Recognit & Intelli, Baotou 014010, Inner Mongolia, Peoples R China
2.Dezhou Peoples Hosp, Informat Ctr, Dezhou 253000, Shandong, Peoples R China
3.Inner Mongolia Univ Sci & Technol, Sch Sci, Baotou 014010, Inner Mongolia, Peoples R China
4.Hunan Normal Univ, Coll Informat Sci & Engn, Changsha 410081, Hunan, Peoples R China
5.Inst Psychol, CAS Key Lab Mental Hlth, Beijing 100101, Peoples R China
6.Xidian Univ, Sch Life Sci & Technol, Life Sci Res Ctr, Xian 710071, Shaanxi, Peoples R China
Recommended Citation
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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