Lu Ye-Chen, Wu Jia-Jia, Ma Hao, Hua Xu-Yun, Xu Jian-Guang
School of Rehabilitation Sciences, Shanghai University of Traditional Chinese Medicine, Shanghai, China; Center of Rehabilitation Medicine, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai China.
Center of Rehabilitation Medicine, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai China.
Neuroscience. 2020 Aug 21;442:216-227. doi: 10.1016/j.neuroscience.2020.06.017. Epub 2020 Jul 3.
Acupuncture is a mild therapy in rehabilitation practice of peripheral nerve injury. Previous studies confirmed the deep participation of brain plasticity in the process of functional restoration. The therapeutic effect of acupuncture is also believed to be closely associated with brain plasticity, especially in the hypothalamus and limbic system. But the fuzzy neural mechanism somehow limits the application or improvement of this therapy. There is little information about the effect of acupuncture on topological properties of brain networks. Instead of functional segregation approach, we utilized graph theory method to analyze the large-scale and distributed properties of information processing. We first established rat model of sciatic nerve injury and performed rehabilitation therapy of electroacupuncture for 120 days. Meanwhile, we used independent component analysis to extract seven sub-networks from the whole brain. Then measurements of graph theory were calculated in each sub-network as well as the whole brain network. We found no significant difference of any measurement in whole brain network among intervention group, model group and normal group. But the assortativity, hierarchy, small-world properties of sub-network displayed significant differences among three groups. It induces changes of neural plasticity in several sub-networks instead of whole brain network. We attributed the changes to the enhancement of the short-term compensatory adaptation and the reduction of the long-term overacting regional information transmission. The present study may shed light on the vague distinction of large-scale property of brain networks after electroacupuncture, which leads to a better understanding of this ancient traditional Chinese therapy.
针灸是周围神经损伤康复治疗中的一种温和疗法。以往研究证实大脑可塑性在功能恢复过程中深度参与。针灸的治疗效果也被认为与大脑可塑性密切相关,尤其是在下丘脑和边缘系统。但模糊的神经机制在某种程度上限制了该疗法的应用或改进。关于针灸对脑网络拓扑特性的影响,目前知之甚少。我们采用图论方法而非功能分离方法来分析信息处理的大规模和分布式特性。我们首先建立坐骨神经损伤大鼠模型,并进行120天的电针康复治疗。同时,我们使用独立成分分析从全脑中提取七个子网。然后计算每个子网以及全脑网络的图论测量值。我们发现干预组、模型组和正常组全脑网络的任何测量值均无显著差异。但子网的度分布、层次结构、小世界特性在三组之间存在显著差异。它引起了几个子网而非全脑网络的神经可塑性变化。我们将这些变化归因于短期代偿适应的增强和长期过度活跃的区域信息传递的减少。本研究可能有助于阐明电针后脑网络大规模特性的模糊差异,从而更好地理解这种古老的中国传统疗法。