Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, Netherlands; Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Anatomy & Neurosciences, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, Netherlands.
Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, Netherlands; Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Anatomy & Neurosciences, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, Netherlands.
Neuroscience. 2018 Aug 21;386:295-308. doi: 10.1016/j.neuroscience.2018.06.050. Epub 2018 Jul 10.
Parkinson's disease (PD) is a neurodegenerative disorder characterized by widespread neuropathological involvement of cortical and subcortical brain areas, which may therefore affect the structural brain network or 'connectome'. Using diffusion tensor imaging (DTI) and graph analysis we studied the structural connectome of medication-naïve PD patients. DTI was acquired in 23 early-stage PD patients and 38 age, sex and education matched healthy controls. We studied global, subnetwork and local network topology using the Brainnetome atlas. At the subnetwork level we focused on the default-mode, frontoparietal, sensorimotor and attention networks. Graph measures included global efficiency, clustering coefficient and betweenness centrality. PD patients showed lower global efficiency and global clustering coefficient compared with healthy controls. This was also evident in all four subnetworks. These findings were largely replicated with the automated anatomical labeling (AAL) atlas and robust across a large range of thresholds. These results suggest that the wiring of the structural brain network of early-stage medication-naïve PD patients is altered relative to healthy controls in such a way that it allows for less integration (global efficiency) and segregation (clustering coefficient) of information processing.
帕金森病（PD）是一种神经退行性疾病，其特征是广泛的皮质和皮质下脑区的神经病理学受累，因此可能会影响结构脑网络或“连接组”。我们使用扩散张量成像（DTI）和图分析研究了未经药物治疗的 PD 患者的结构连接组。在 23 名早期 PD 患者和 38 名年龄、性别和教育程度匹配的健康对照中获得了 DTI。我们使用脑网络图谱研究了全局、子网和局部网络拓扑结构。在子网水平上，我们关注默认模式、额顶叶、感觉运动和注意力网络。图测度包括全局效率、聚类系数和中间中心性。与健康对照组相比，PD 患者的全局效率和全局聚类系数较低。这在所有四个子网中也很明显。这些发现与自动解剖标记（AAL）图谱基本一致，并且在很大的阈值范围内具有很强的稳健性。这些结果表明，与健康对照组相比，早期未经药物治疗的 PD 患者的结构脑网络的布线方式发生了改变，使得信息处理的整合（全局效率）和隔离（聚类系数）能力降低。
