[1]解晓燕,薛婷,张云淼,等.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[J].中国医学物理学杂志,2022,39(6):690-694.[doi:DOI:10.3969/j.issn.1005-202X.2022.06.006]
　XIE Xiaoyan,XUE Ting,ZHANG Yunmiao,et al.Resting-state default mode network in adolescent smokers: a research based on dynamic functional connectivity analysis[J].Chinese Journal of Medical Physics,2022,39(6):690-694.[doi:DOI:10.3969/j.issn.1005-202X.2022.06.006]
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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()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
39卷
期数:
2022年第6期
页码:
690-694
栏目:
医学影像物理
出版日期:
2022-06-27

文章信息/Info

Title:
Resting-state default mode network in adolescent smokers: a research based on dynamic functional connectivity analysis
文章编号:
1005-202X（2022）06-0690-05
作者:
解晓燕1; 薛婷2; 张云淼1; 张士迪1; 周洋1; 贾少迪1; 喻大华1
1.内蒙古科技大学信息工程学院， 内蒙古 包头 014010； 2.内蒙古科技大学理学院， 内蒙古 包头 014010
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
关键词:
青少年吸烟者; 功能性磁共振成像; 独立成分分析; 滑动窗相关法; 动态功能网络连接
Keywords:
Keywords: adolescent smoker functional magnetic resonance imaging independent component analysis sliding window correlation analysis dynamic functional network connectivity
分类号:
R318
DOI:
DOI:10.3969/j.issn.1005-202X.2022.06.006
文献标志码:
A
摘要:
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。
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.

相似文献/References:

[1]王宪福,谢东东,刘畅,等.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[J].中国医学物理学杂志,2020,37(3):289.[doi:DOI:10.3969/j.issn.1005-202X.2020.03.006]
　WANG Xianfu,XIE Dongdong,LIU Chang,et al.Changes of functional connectivity in executive network during the resting state in adolescent smokers: a research based on independent component analysis[J].Chinese Journal of Medical Physics,2020,37(6):289.[doi:DOI:10.3969/j.issn.1005-202X.2020.03.006]

备注/Memo

备注/Memo:
【收稿日期】2021-11-27 【基金项目】国家自然科学基金（81871430，81871426，61771266）；内蒙古自治区自然科学基金杰青培育基金（2019JQ07）；内蒙古自治区自然科学基金（2021MS08014）；内蒙古自治区关键技术研发基金（2019GG109）；内蒙古自治区自然科学基金2020MS08059 【作者简介】解晓燕，硕士，研究方向：医学图像处理，E-mail: 1916822- 011@qq.com 【通信作者】喻大华，博士，教授，硕士生导师，研究方向：医学图像处理，E-mail: fmydh@imust.edu.cn
更新日期/Last Update: 2022-06-27