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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 Author | Wang, XianFu |
Correspondent Email | kai yuan kyuan@xidian.edu.cn ; dahua yu fmydh@imust.edu.cn |
Contribution Rank | 5 |
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. |
Keyword | Functional networks Resting state Young adult smokers Independent component analysis |
2020-04-20 | |
Language | 英语 |
DOI | 10.1007/s11682-020-00289-4 |
Source Publication | BRAIN IMAGING AND BEHAVIOR
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ISSN | 1931-7557 |
Pages | 10 |
Subtype | article |
Indexed By | SCI |
Funding Project | 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] |
Publisher | SPRINGER |
WOS Keyword | WHITE-MATTER INTEGRITY ; DEFAULT-MODE ; RESTING BRAIN ; COGNITIVE-DEVELOPMENT ; WORKING-MEMORY ; ACUTE NICOTINE ; SMOKING CUES ; CONNECTIVITY ; ABSTINENCE ; ADDICTION |
WOS Research Area | Neurosciences & Neurology |
WOS Subject | Neuroimaging |
WOS ID | WOS:000527900800001 |
Quartile | Q2 |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.psych.ac.cn/handle/311026/31693 |
Collection | 中国科学院心理健康重点实验室 |
Corresponding Author | Yuan, Kai; Yu, Dahua |
Affiliation | 1.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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