基于独立成分分析的青年吸烟者大脑静息态执行网络功能连接变化研究

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

采用独立成分分析方法探索40名青年吸烟者和40名年龄与性别相匹配的非吸烟者的静息态功能磁共振数据,并结合"双重回归"方法探索吸烟者执行网络功能连接变化,同时将有变化的脑区与吸烟统计学数据进行Pearson’s双变量相关分析,例如年龄、包年、FTND、烟龄等。通过研究发现,青年吸烟者的大脑右中央执行网络的功能连接性增强,相关分析表明执行网络包含的背外侧前额叶皮质与烟龄呈显著性负相关(r=-0.339,P=0.032)。此项研究结果表明,吸烟对右侧中央执行网络的功能连接有一定的影响,研究结果可能为青年吸烟成瘾者的神经机制的特征提供额外的新见解。

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.