Fang Jinping, Chen Huimin, Cao Zhentang, Jiang Ying, Ma Lingyan, Ma Huizi, Feng Tao
Center for Neurodegenerative Disease, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China; China National Clinical Research Center for Neurological Diseases, Beijing, 100050, China.
Center for Neurodegenerative Disease, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China; China National Clinical Research Center for Neurological Diseases, Beijing, 100050, China; Parkinson's Disease Center, Beijing Institute for Brain Disorders, Capital Medical University, Beijing, 100069, China.
Neurosci Lett. 2017 Sep 14;657:151-158. doi: 10.1016/j.neulet.2017.08.002. Epub 2017 Aug 5.
Resting state functional magnetic resonance imaging (rs-fMRI) has been applied to investigate topographic structure in Parkinson's disease (PD). Alteration of topographic architecture has been inconsistent in PD AIM: To investigate the network profile of PD using graph theoretical analysis.
Twenty six newly diagnosed PD and 19 age- and gender- matched healthy controls (HC) were included in our analysis. Small-world profile and topographic profiles (nodal degree, global efficiency, local efficiency, cluster coefficient, shortest path length, betweenness centrality) were measured and compared between groups, with age and gender as covariates. We also performed correlation analysis between topographic features with motor severity measured by UPDRS III.
Small-world property was present in PD. Nodal degree, global efficiency, local efficiency and characteristic path length consistently revealed disruptive sensorimotor network, and visual network to a less degree in PD. By contrast, default mode network (DMN) and cerebellum in PD showed higher nodal degree, global efficiency and local efficiency, and lower characteristic path length. Global and local efficiency in the midbrain was higher in PD excluding substantia nigra. PD group also exhibited lower cluster coefficient in the subcortical motor network (thalamus and caudate nucleus). No significant correlation was found between topographic properties and motor severity.
PD exhibited disruptive sensorimotor and visual networks in early disease stage. DMN, a certain areas in the cerebellum and midbrain may compensate for disruptive sensorimotor and visual network in PD. Disruptive network architecture may be an early alteration of PD pathophysiology but may not serve as a valid biomarker yet.
静息态功能磁共振成像（rs-fMRI）已被用于研究帕金森病（PD）的拓扑结构。PD中拓扑结构的改变并不一致。目的：使用图论分析研究PD的网络特征。
26例新诊断的PD患者和19例年龄及性别匹配的健康对照（HC）纳入我们的分析。测量并比较两组之间的小世界特征和拓扑特征（节点度、全局效率、局部效率、聚类系数、最短路径长度、介数中心性），以年龄和性别作为协变量。我们还对通过统一帕金森病评定量表第三部分（UPDRS III）测量的运动严重程度与拓扑特征进行了相关性分析。
PD存在小世界特性。节点度、全局效率、局部效率和特征路径长度一致显示PD中感觉运动网络受到破坏，视觉网络受破坏程度较小。相比之下，PD中的默认模式网络（DMN）和小脑显示出更高的节点度、全局效率和局部效率，以及更低的特征路径长度。排除黑质后，PD中脑的全局和局部效率更高。PD组在皮质下运动网络（丘脑和尾状核）中也表现出较低的聚类系数。未发现拓扑特性与运动严重程度之间存在显著相关性。
PD在疾病早期表现出感觉运动和视觉网络破坏。DMN、小脑和中脑的某些区域可能补偿PD中被破坏的感觉运动和视觉网络。网络结构破坏可能是PD病理生理学的早期改变，但可能尚未作为有效的生物标志物。
