Study of large-scale functional brain networks and topological properties in patients with major depressive disorder
10.3760/cma.j.cn371468-20231226-00323
- VernacularTitle:抑郁症患者大尺度功能脑网络及拓扑属性研究
- Author:
Hao SUN
1
;
Rui YAN
;
Lingling HUA
;
Zhilu CHEN
;
Jiabo SHI
;
Yu CHEN
;
Xiaoqin WANG
;
Qing LU
;
Zhijian YAO
Author Information
1. 南京脑科医院，南京大学医学院临床教学医院，南京 210029
- Keywords:
Major depressive disorder;
Resting-state functional magnetic resonance imaging;
Large-scale brain network;
Network topological property
- From:
Chinese Journal of Behavioral Medicine and Brain Science
2024;33(5):425-431
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the changes of large-scale functional brain networks and network topological properties in patients with major depressive disorder (MDD) whose diagnosis had not changed after 5 years of follow-up.Methods:Totally 521 cases of hospitalized MDD patients were recruited from January 2012 to August 2018, and another 204 cases of gender- and age-matched healthy controls were recruited. All participants completed resting-state functional magnetic resonance scanning and clinical assessment. Their diagnosis were reviewed 5 years after discharge.A total of 258 participants whose diagnosis had not changed were counted into the MDD group for analysis. The differences in large-scale brain network connectivity between the two groups were analyzed by constructing a whole-brain functional network, on the basis of which the altered topological properties of the sensorimotor network (SMN), visual network (VN) and default mode network (DMN) were further analyzed between the two groups.The SPSS 24.0 software was used for data analysis and the independent sample t-test and χ2 test were used for the data comparison of the two groups. Results:Compared with the healthy controls, the MDD group had significantly decreased network clustering, mainly involving the SMN, VN and DMN (edge P<0.001, cluster P<0.05). The MDD group had decreased functional connectivity(FC) strength within the SMN, VN and DMN networks, the FC strength between the SMN and VN networks, between the frontoparietal network (FPN) and the DAN networks were decreased(all P<0.05, FDR corrected). Graph-theory analysis showed that local efficiency, clustering coefficient, and normalized shortest path length were decreased in the MDD group, node efficiency was decreased in the left ventral medial prefrontal cortex and the middle of the bilateral insula, node centrality was decreased in the middle of the bilateral insula and occipital lobe, and the betweenness was decreased in the middle of the right insula (all P<0.05, FDR corrected). Conclusion:MDD exhibits abnormal network functional connectivity, disruption of network topological properties, diminished optimal information processing, and to some extent reflects the severity of depressive symptoms. The decreased ability of information transfer flow in the insula plays an important role for the functional abnormality of the network.
