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J Clin Neurosci. 2017 Oct;44:274-278. doi: 10.1016/j.jocn.2017.06.037. Epub 2017 Jul 8.

More randomized and resilient in the topological properties of functional brain networks in patients with major depressive disorder.

Author information

1
Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing, China; Faculty of Information Technology, Beijing University of Technology, Beijing, China; Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing, China; Beijing Key Laboratory of MRI and Brain Informatics, Beijing, China.
2
Faculty of Information Technology, Beijing University of Technology, Beijing, China; Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing, China; Beijing Key Laboratory of MRI and Brain Informatics, Beijing, China.
3
Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing, China; Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing, China; Beijing Key Laboratory of MRI and Brain Informatics, Beijing, China; Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi, Gunma, Japan.
4
Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing, China; Faculty of Information Technology, Beijing University of Technology, Beijing, China; Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing, China; Beijing Key Laboratory of MRI and Brain Informatics, Beijing, China; Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi, Gunma, Japan. Electronic address: prof_zhongning@163.com.

Abstract

Previous studies have reported the enhanced randomization of functional brain networks in patients with major depressive disorder (MDD). However, little is known about the changes of key nodal attributes for randomization, the resilience of network, and the clinical significance of the alterations. In this study, we collected the resting-state functional MRI data from 19 MDD patients and 19 healthy control (HC) individuals. Graph theory analysis showed that decreases were found in the small-worldness, clustering coefficient, local efficiency, and characteristic path length (i.e., increase of global efficiency) in the network of MDD group compared with HC group, which was consistent with previous findings and suggested the development toward randomization in the brain network in MDD. In addition, the greater resilience under the targeted attacks was also found in the network of patients with MDD. Furthermore, the abnormal nodal properties were found, including clustering coefficients and nodal efficiencies in the left orbital superior frontal gyrus, bilateral insula, left amygdala, right supramarginal gyrus, left putamen, left posterior cingulate cortex, left angular gyrus. Meanwhile, the correlation analysis showed that most of these abnormal areas were associated with the clinical status. The observed increased randomization and resilience in MDD might be related to the abnormal hub nodes in the brain networks, which were attacked by the disease pathology. Our findings provide new evidence to indicate that the weakening of specialized regions and the enhancement of whole brain integrity could be the potential endophenotype of the depressive pathology.

KEYWORDS:

Complex network; Major depressive disorder; Randomization; Resilience; Resting state functional magnetic resonance imaging; Small-worldness

PMID:
28694044
DOI:
10.1016/j.jocn.2017.06.037
[Indexed for MEDLINE]

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