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More randomized and resilient in the topological properties of functional brain networks in patients with major depressive disorder
Affiliation:1. Department of Psychosomatics & Psychiatry, Institute of Psychosomatic Medicine, Affiliated Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China;2. Department of Psychiatry, Columbia University College of Physicians and Surgeons, The New York State Psychiatric Institute, New York, NY 10032, United States;3. Lab of Image Science and Technology, School of Computer Science and Engineering, Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing 210009, China;1. Medical School of Nanjing University, 22 Hankou Road, Nanjing 210093, China;2. School of Biological Sciences & Medical Engineering, Southeast University, Nanjing 210096, China;3. Child Development and Learning Science, Key Laboratory of Ministry of Education, Southeast University, Nanjing 210096, China;4. Department of Psychiatry, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
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:Major depressive disorder  Resting state functional magnetic resonance imaging  Complex network  Small-worldness  Randomization  Resilience
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