Abstract

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Title:: Changes of functional connectivity in executive network during the resting state in adolescent smokers: a research based on independent component analysis

Author(s):: WANG Xianfu; XIE Dongdong; LIU Chang; CHENG Yongxin; CUI Yongting; TIAN Shiyu; YU Dahua; School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou 014010, China

Keywords:: Keywords: adolescent smoker; independent component analysis; dual regression; functional connectivity; functional magnetic resonance imaging

Abstract:: Abstract: Independent component analysis (ICA) is used to explore the resting-state functional magnetic resonance imaging (fMRI) data from 40 adolescent smokers and 40 age-and gender- matched non-smokers, and then is combined with dual regression to explore the changes of functional connectivity in executive network in the smokers. Meanwhile, Pearson’s bivariate correlation analysis is carried out on both the changed brain regions and smoking statistics such as age, pack-years, FTND and smoking duration. It is found that the functional connectivity in the right central executive network in adolescent smokers is enhanced, and the results of correlation analysis shows that the dorsolateral prefrontal cortex contained in executive network is significantly negatively correlated with smoke duration (r=-0.339, P=0.032). The results of this research suggest that smoking has a certain impact on the functional connectivity in the right central executive network, and the findings in this research may provide additional new insights for the characteristics of the neural mechanism in adolescents with smoking addiction.