基于动态功能连接分析的青少年吸烟者大脑静息态默认模式网络

采集30名青少年吸烟者和相匹配的30名非吸烟者的静息态功能性磁共振成像数据。通过独立成分分析、滑动窗相关法和k-均值聚类分析探讨青少年吸烟者的默认模式网络的动态功能连接变化。同时，使用斯皮尔曼相关分析评估动态功能连接指标（时间分数、平均停留时间和转换次数）与吸烟统计学数据（烟龄、包年和FTND）的关系。结果显示，相比于非吸烟组，青少年吸烟者大脑的默认模式网络的功能连接性降低，进一步的相关性分析表明动态功能连接指标中的平均停留时间与烟龄呈显著性正相关。此项研究从动态功能网络连接的角度分析吸烟对青少年吸烟者默认模式网络的影响，可以为进一步探索青少年吸烟成瘾机制提供新的视角。

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

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.