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Abstract #1203

Altered structural network connectivity in non-neuropsychiatric systemic lupus erythematosus: a graph theoretical analysis

Man Xu1, Xiangliang Tan2, Patrick Peng GAO3, Ed.X. Wu3,4, Yingjie Mei1,5, Xixi Zhao2, Yikai Xu2, and Yanqiu Feng1,3,4

1School of Biomedical Engineering and Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China, People's Republic of, 2Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China, People's Republic of, 3Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong SAR, China, People's Republic of, 4Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China, People's Republic of, 5Philips Healthcare, Guangzhou, China, People's Republic of

The character of the brain structural connectivity in patients with non-neuropsychiatric systemic lupus erythematosus (non-NPSLE) has not been well studied. The aim of the study was to investigate the alterations of the topological metrics in non-NPSLE networks and to identify the regions in which the metrics were significantly different. A structural connectivity matrix was constructed for each subject using PANDA toolbox. Then graph theoretical analysis was applied to investigate the alteration of the metrics. The results revealed that the non-NPSLE group exhibited a trend of decreased global network properties and changed betweenness and degree in several brain regions.

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Abstract