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Abstract #3955

Resting-state functional network abnormalities in major depressive disorder with self-harm: a connectome analysis

Zhen-Hui Li 1,2 , Vincent Chin-Hung Chen 3 , Ming-Chou Ho 4 , and Jun-Cheng Weng 1,2

1 Department of Biomedical Sciences, Chung Shan Medical University Hospital, Taichung, Taiwan, 2 School of Medical Imaging and Radiological Sciences, Chung Shan Medical University, Taichung, Taiwan, 3 Department of Psychiatry, Chung Shan Medical University Hospital, Taichung, Taiwan, 4 Department of Psychology, Chung Shan Medical University, Taichung, Taiwan

Major depressive disorder (MDD) is a public health problem in recent years. MDD is characterized by emotional imbalance with extremely in emotional processing. MDD patient with self-harm may eventually result in the death. Previous studies showed abnormal functional connectivity between specific brain regions, and few studies demonstrated the functional network can be observed by the large-scale structural pathways interconnecting. Graph theory is capable of evaluating the topological organization of the human brain. Therefore, in this study we tried to find out the functional connectomic difference between MDD patients and healthy subjects based on resting-state functional magnetic resonance imaging (rs-fMRI) using graph theoretical and network-based statistic (NBS) analyses. Our results revealed that MDD patients exhibit a disruption in the topological organization of functional brain networks.

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