Abstract：
Hemisphere functional lateralization is a prominent feature of the human brain. However, it is not known whether hemispheric lateralization features are altered in end-stage knee osteoarthritis (esKOA). In this study, we performed resting-state functional magnetic imaging on 46 esKOA patients and 31 healthy controls (HCs) and compared with the global and inter-hemisphere network to clarify the hemispheric functional network lateralization characteristics of patients. A correlation analysis was performed to explore the relationship between the inter-hemispheric network parameters and clinical features of patients. The node attributes were analyzed to explore the factors changing in the hemisphere network function lateralization in patients. We found that patients and HCs exhibited \"small-world\" brain network topology. Clustering coefficient increased in patients compared with that in HCs. The hemisphere difference in inter-hemispheric parameters including assortativity, global efficiency, local efficiency, clustering coefficients, small-worldness, and shortest path length. The pain course and intensity of esKOA were positively correlated with the right hemispheric lateralization in local efficiency, clustering coefficients, and the small-worldness, respectively. The significant alterations of several nodal properties were demonstrated within group in pain-cognition, pain-emotion, and pain regulation circuits. The abnormal lateralization inter-hemisphere network may be caused by the destruction of regional network properties.
摘要：
半球功能偏侧化是人脑的一个突出特征。然而,目前尚不清楚终末期膝骨关节炎(esKOA)患者半球偏侧化特征是否发生改变.在这项研究中,我们对46例esKOA患者和31例健康对照(HCs)进行了静息态功能磁成像,并与全球和半球间网络进行了比较,以阐明患者的半球功能网络偏侧化特征.进行相关性分析，以探讨半球间网络参数与患者临床特征之间的关系。对节点属性进行分析，探讨患者半球网络功能偏侧化变化的因素。我们发现患者和HCs表现出“小世界”脑网络拓扑。与HCs相比，患者的聚类系数增加。半球间参数的半球差异，包括分类，全球效率，本地效率，聚类系数，小世界,和最短路径长度。esKOA的疼痛过程和强度与局部效率的右半球偏侧化呈正相关。聚类系数，和小世界，分别。在疼痛认知组中证明了几种节点特性的显着改变，痛苦-情感，和疼痛调节电路。半球间网络异常偏侧化可能是由于区域网络属性的破坏造成的。
