Feng Ting, Zhao Can, Rao Jia-Sheng, Guo Xiao-Jun, Bao Shu-Sheng, He Le-Wei, Zhao Wen, Liu Zuxiang, Yang Zhao-Yang, Li Xiao-Guang
School of Biological Science and Medical Engineering, Beijing Key Laboratory for Biomaterials and Neural Regeneration, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, PR China.
Institute of Rehabilitation Engineering, China Rehabilitation Science Institute, Beijing, PR China.
iScience. 2023 Apr 29;26(6):106784. doi: 10.1016/j.isci.2023.106784. eCollection 2023 Jun 16.
Graph theory-based analysis describes the brain as a complex network. Only a few studies have examined modular composition and functional connectivity (FC) between modules in patients with spinal cord injury (SCI). Little is known about the longitudinal changes in hubs and topological properties at the modular level after SCI and treatment. We analyzed differences in FC and nodal metrics reflecting modular interaction to investigate brain reorganization after SCI-induced compensation and neurotrophin-3 (NT3)-chitosan-induced regeneration. Mean inter-modular FC and participation coefficient of areas related to motor coordination were significantly higher in the treatment animals than in the SCI-only ones at the late stage. The magnocellular part of the red nucleus may reflect the best difference in brain reorganization after SCI and therapy. Treatment can enhance information flows between regions and promote the integration of motor functions to return to normal. These findings may reveal the information processing of disrupted network modules.
基于图论的分析将大脑描述为一个复杂网络。仅有少数研究考察了脊髓损伤（SCI）患者的模块组成以及模块间的功能连接（FC）。对于SCI及治疗后模块水平上枢纽和拓扑特性的纵向变化知之甚少。我们分析了反映模块间相互作用的FC和节点指标差异，以研究SCI诱导的代偿及神经营养因子-3（NT3）-壳聚糖诱导的再生后的大脑重组。在后期，治疗组动物中与运动协调相关区域的平均模块间FC和参与系数显著高于仅患有SCI的动物。红核的大细胞部分可能反映了SCI及治疗后大脑重组的最佳差异。治疗可增强区域间的信息流，促进运动功能整合恢复正常。这些发现可能揭示了受损网络模块的信息处理过程。
