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Abstract #4265

Abnormal structural connectivity networks of patients with major depressive disorder: graph theoretical and network-based statistic analyses

Hao Hu 1 , Vincent Chin-Hung Chen 2 , Ming-Chou Ho 3 , Yeu-Sheng Tyan 4,5 , and Jun-Cheng Weng 4,5

1 Department of Radiology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China, 2 Department of Psychiatry, Chung Shan Medical University Hospital, Taichung, Taiwan, 3 Department of Psychology, Chung Shan Medical University, Taichung, Taiwan, 4 School of Medical Imaging and Radiological Sciences, Chung Shan Medical University, Taichung, Taiwan, 5 Department of Medical Imaging, Chung Shan Medical University Hospital, Taichung, Taiwan

Previously disrupted topological organization of major depressive disorder (MDD) patients regarding functional brain network has been declared by several studies. However, only few studies mentioned about the particular structural brain network changes of this patient group. Diffusion tensor imaging (DTI) enables comprehensive whole brain mapping of the white matter tracts that link regions throughout the entire brain. Thus, our study aims to map the structural connectomic changes over MDDs based on DTI tractography using graph theory and network-based statistic analyses. In the result, meaningfully altered topological organization of structural connectivity network was found.

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