东南大学学报（英文版）2017，Vol.33Issue(3)：273-276,4.DOI:10.3969/j.issn.1003-7985.2017.03.004
动态核磁共振社区结构灵活度指标在抑郁症疗效评估中的应用
Evaluating treatment via flexibility of dynamic MRI community structures in depression
摘要
Abstract
The flexibility of dynamic community structure is adopted to analyze the depressive resting-state functional magnetic resonance imaging (rfMRI) signals in order to improve the accuracy of evaluating depression treatment. The rfMRI signals of each brain network were obtained by the independent component correlation algorithm(ICA). Dynamic functional connections were computed with sliding windows and L1 norm. Then, the connections were used to calculate the dynamic community structure via the community-detection algorithm. The result of structure's community assignment has the general character with the brain activity changing over time. The flexibility index is one of traits of dynamic community structure, meaning the number of times a region changes. In this study, 16 patients who achieved clinical remission joined the experiment and were scanned before and after treatment. Pair permutation tests compare the difference of six brain networks'flexibility between pre-therapy and post-treatment. The results show that the distribution of the flexibility values declines in a default network and cognitive control network between pre-therapy and post-treatment patients with statistical difference. Therefore, flexibility is a suitable approach to accurately evaluate the depression treatment effect.关键词
动态社区结构/核磁共振成像/抑郁症/治疗效果Key words
dynamic community structure/magnetic resonance imaging(MRI)/depression/treatment effect分类
信息技术与安全科学引用本文复制引用
莫昭奇,王强,田水,阎锐,耿纪婷,姚志剑,卢青..动态核磁共振社区结构灵活度指标在抑郁症疗效评估中的应用[J].东南大学学报（英文版）,2017,33(3):273-276,4.基金项目
The National High Technology Research and Devel-opment Program of China (863 program) (No.2015AA020509), the National Natural Science Foundation of China ( No. 81571639, 81371522, 61372032). （863 program）
