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Changes Of Brain Resting State Function Network In Young Smokers Based On Independent Component Analysis

Posted on:2020-09-08Degree:MasterType:Thesis
Country:ChinaCandidate:X F WangFull Text:PDF
GTID:2404330590981802Subject:Computer technology
Abstract/Summary:PDF Full Text Request
Based on the growing trend of young smokers,we try to explore whether and how smoking affects changes in brain connectivity in adolescents,as well as the relationship between brain network changes and diagnostic criteria for nicotine dependence.Prior to this,there have been few studies on changes in brain network functional connectivity in adolescent smokers.Adolescence is at a critical stage of growth and development,and its brain and body and psychological characteristics are steadily maturing.Smoking may lead to a series of changes in the physical and psychological aspects of adolescents.At the same time,smoking is one of the major health problems in the world.Some diseases caused by smoking have also risen,but this has not affected the reduction in the number of smokers.On the contrary,the age of smoking in adolescents has become smaller and gradually increasing.Cognitive control during adolescence does not mature,which may be associated with increased incidence of affective disorder and addiction.However,young smoker has been recognized as a serious problem,but few people are concerned about the imaging indicators of adolescent smoking and the changes in the connections between brain network functions.These imaging data are the main targets of current research.The method used in this study was to analyze resting-state functional magnetic resonance imaging(fMRI)data from 42 adolescent smokers and 40 age-and sex-matched healthy controls using an independent component analysis(ICA)method,combined with a double regression approach.Identify brain network changes between adolescent smokers and healthy controls.In the study of functional connectivity between magnetic resonance imaging and most of the local networks,there is little research on the combination of independent component analysis and functional magnetic resonance in the brain connectivity of adolescent smokers.We used independent component analysis and double regression to study and analyze the resting state of adolescent smokers in order to study the functional connectivity differences between young smokers and non-smokers in the resting brain network.Compared with nonsmokers,young smokers showed enhanced functional connectivity of the posterior cingulate cortex(PCC),functional connectivity of the right medial prefrontal cortex(MPFC)and the right anterior anterior lobes Enhanced in the default mode network(DMN)network,functional connectivity in the right dorsolateral prefrontal cortex(DLPFC)of the central central executive network(CEN),significant network The functional connectivity of the left anterior insular(LAI)in the salience network(SN)is also enhanced.The conclusions of this study are that our findings may provide new insights into the characteristics of adolescent smokers,as smoking addiction is a difference that can cause a network of intrinsic connections in adolescent brain activity.At the same time,the results also indicate that the functional connectivity difference between the central CEN and the default mode network DMN can distinguish between nicotine-dependent smokers and control groups,and has certain reference significance for understanding and treating nicotine dependence.
Keywords/Search Tags:Independent component analysis, Young smoking, Dual regression, Resting state function network
PDF Full Text Request
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