Abstract

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Title:: Resting-state default mode network in adolescent smokers: a research based on dynamic functional connectivity analysis

Author(s):: XIE Xiaoyan1; XUE Ting2; ZHANG Yunmiao1; ZHANG Shidi1; ZHOU Yang1; JIA Shaodi1; YU Dahua1; 1. School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou 014010, China 2. School of Science, Inner Mongolia University of Science and Technology, Baotou 014010, China

Keywords:: Keywords: adolescent smoker functional magnetic resonance imaging independent component analysis sliding window correlation analysis dynamic functional network connectivity

Abstract:: Abstract: After collecting the resting-state functional magnetic resonance imaging data from 30 adolescent smokers and 30 matched non-smokers, the dynamic functional connectivity changes of the default mode network (DMN) in adolescent smokers are explored by independent component analysis, sliding window correlation analysis and k-means cluster analysis. Meanwhile, the relationships between dynamic functional connectivity indices (fraction time, mean dwell time, transition number) and smoking statistics (smoking duration, pack-years, FTND) are evaluated using Spearman correlation analysis. The results showed that the functional connectivity of the DMN in adolescent smokers is reduced as compared with non-smokers group, and the further correlation analysis revealed that the mean dwell time is significantly positively correlated with smoking duration. The analysis on the effects of smoking on the DMN in adolescent smokers based on dynamic functional network connectivity provides a new perspective for further exploring the mechanism of adolescent smoking addiction.