Association between the non-rich-club connectivity synergism of brain structural network and the occurrence of post-stroke depression
10.3760/cma.j.cn113694-20230823-00074
- VernacularTitle:脑结构网络的非rich-club连接协同性与卒中后抑郁发生的关联性研究
- Author:
Yujiao CAI
1
;
Yang LI
;
Kai XIE
;
Yuhao XU
;
Yan ZHU
;
Yifeng LUO
;
Zhihong CAO
;
Yuefeng LI
Author Information
1. 江苏大学附属宜兴医院影像科，宜兴 214200
- Keywords:
Stroke;
Post-stroke depression;
Structural network;
Non-rich-club regions;
Forecasting
- From:
Chinese Journal of Neurology
2024;57(5):481-487
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the association between changes in brain structural network during the early stage of stroke recovery and the onset of post-stroke depression (PSD).Methods:A total of 87 acute ischemic stroke patients scheduled for discharge, who were admitted to the Yixing Hospital Affiliated to Jiangsu University from March 2020 to May 2021, were prospectively collected. During the same period, 34 healthy control subjects matched with the stroke patients were also collected. All participants underwent systematic magnetic resonance imaging scans and scale assessments, and were followed up longitudinally for 2 years. Based on the occurrence of depression during follow-up, the stroke patients were divided into PSD group and post-stroke non-depression (PSND) group. Graph theoretical analysis was used to analyze the topological characteristics of brain structural network. Analysis of variance was used to explore the differences in brain structural network attributes among groups. Logistic regression model was used to analyze the predictive power of differential brain network attributes for PSD. Linear regression analysis was conducted to investigate the relationship between the synergism of non-rich-club regions and changes in rich-club connectivity.Results:The rich-club connectivity and synergism of the non-rich-club regions were significantly lower in the PSD group than in the PSND group (rich-club connectivity, P<0.01; synergism of feeder/local, P<0.001). The regression model demonstrated that the synergism of non-rich-club regions had a good predictive power for the occurrence of PSD ( OR=1.195, 95%CI 1.073-1.471, P<0.001). Furthermore, linear regression analysis revealed a significant correlation between the synergism of non-rich-club regions and Δrich-club connectivity ( r=-0.691, P<0.001). Conclusion:The good synergism of non-rich-club regions during the early stage of stroke recovery promotes the repair of rich-club connectivity and inhibits the onset of PSD.
