The flexibility of dynamic community structure is adopted to analyze the depressive resting-state functional magnetic resonance imaging( rf MRI) signals in order to improve the accuracy of evaluating depression treatm...The flexibility of dynamic community structure is adopted to analyze the depressive resting-state functional magnetic resonance imaging( rf MRI) signals in order to improve the accuracy of evaluating depression treatment. The rf MRI 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 posttreatment. The results showthat 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.展开更多
基金The National High Technology Research and Development Program of China(863 program)(No.2015AA020509)the National Natural Science Foundation of China(No.81571639,81371522,61372032)
文摘The flexibility of dynamic community structure is adopted to analyze the depressive resting-state functional magnetic resonance imaging( rf MRI) signals in order to improve the accuracy of evaluating depression treatment. The rf MRI 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 posttreatment. The results showthat 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.
