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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