期刊
PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY
卷 108, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.pnpbp.2020.110074
关键词
Brain structural connectome; Major depressive disorder; Network efficiency; Rich club organization
资金
- National Key Projects for Research and Development Program of China [2016YFC1305800, 2016YFC1305802]
- National Natural Science Foundation of China [81871069, 81671256, 81571315, 30770779, 30825014, 30971016, 81061120529]
- Key Project for Research and Development Program of Jiangsu Province [BE2018741]
- Nanjing International Joint Research and Development Project [201715013]
- National Natural Science Foundation of China-Henan Mutual Funds [U1704190]
- Innovation Scientists and Technicians Troop Construction Projects of Henan Province [174100510024]
- National Basic Research Program of China (973 Program) [2007CB512308]
- National Hi-Tech Research and Development Program of China (863 Program) [2008AA02Z413]
- National Science and Technology Major Projects for Major New Drugs Innovation and Development [2012ZX09506-001-009]
Using resting-state functional MRI and diffusion tensor imaging, this study found that MDD patients exhibited disrupted structural rich-club organization and modularity, as well as reduced coupling between structural and functional connectivity. These results suggest that the disrupted rich-club structural organization could potentially serve as a biological marker for identifying MDD patients.
Background: Altered structural and functional brain networks have been extensively studied in major depressive disorder (MDD) patients. However, whether the differential connectivity patterns in the rich-club organization, assessed from structural brain network analyses, and the associated connections of these regions are particularly susceptible to depression remain unclear. Methods: We acquired resting-state functional magnetic resonance imaging (R-fMRI) and diffusion tensor imaging (DTI) from 31 unmedicated MDD patients and 32 cognitively normal (CN) subjects and completed a series of neuropsychological tests. Rich-club organization, network properties, and coupling between structural and functional connectivity (SC-FC) were explored. Furthermore, whether these indices could potentially deliver effective clinical predictive value for MDD patients were examined. Results: The MDD patients showed disrupted structural rich-club organization and modularity, as well as a distinct correlation pattern between global efficiency and rich-club organization. Importantly, reduced SC-FC coupling, reflecting a decreased agreement in the integrity of the networks, was significantly associated with the strength of structural rich-club connections in the MDD patients. Furthermore, the disrupted structural richclub organization, which was primarily located in the default mode network (DMN) and executive control network (ECN), emerged as a valuable indicator to distinguish between MDD and CN. Conclusions: Findings of this study identified that the disrupted rich-club structural organization significantly influenced brain structural network modularity and integrity and could serve as a promising biological marker for the identification of MDD patients.
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