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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