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Impairment of small world network and degree centrality in relapse-remitting multiple sclerosis patients |
LIN Dan1 ZHOU Li1 TAN Zhongjian2 ZHOU Ying1 HAN Xiao1 CUI Fangyuan1 |
1.Department of Encephalopathy, Dongzhimen Hospital of Beijing University of Chinese Medicine, Beijing 100700, China;
2.Department of Radiology, Dongzhimen Hospital of Beijing University of Chinese Medicine, Beijing 100700, China
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Abstract Objective To investigate the small-world network impairment and changes of degree centrality in patients with relapsing-remitting multiple sclerosis (RRMS). Methods A total of 20 patients with RRMS who were admitted to Dongzhimen Hospital of Beijing University of Chinese Medicine from January 2014 to January 2020 were enrolled as the observation group, and 15 matched healthy volunteers were selected as the control group. NMR data and neural scale data of all subjects were collected, functional brain network was constructed by GRETNA software, and degree centrality (DC) was extracted by RESTPLUS software. Results Both groups of functional brain networks were consistent with small-world network properties. Compared with the control group, the global efficiency of shortest path length in the observation group was higher than that in the control group, and the difference was statistically significant (P<0.05), the small world attribute, normalized cluster coefficient, and global efficiency were lower than those in the control group, and the differences were statistically significant (P<0.05); in DC analysis, after FWEc correction, DC values in the middle frontal gyrus, precuneus, cuneus in the observation group were higher than those in the control group, and DC values in the inferior temporal gyrus, fusiform gyrus were lower than those in the control group, and the differences were highly statistically significant (P<0.01). Conclusion Patients with RRMS show a decrease in small-world attributes and other network parameters, indicating a decrease in the efficiency of information transmission and interaction between brain regions, which provides objective imaging evidence for the neuropathological mechanism of RRMS patients.
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