Disrupted brain network topology in Parkinson's disease: a longitudinal magnetoencephalography study
Disrupted brain network topology in Parkinson's disease: a longitudinal magnetoencephalography study
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DOI：
10.1093/brain/awt316
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发表时间：
2014-01-01
期刊：
影响因子：
14.5
通讯作者：
Berendse, Henk W.
中科院分区：
文献类型：
--
作者：
Dubbelink, Kim T. E. Olde;Hillebrand, Arjan;Berendse, Henk W.
尽管先前已报道帕金森病中大脑区域之间静息状态功能连接的改变，但这些变化的空间组织仍然很大程度上未知。在这里，我们利用脑磁图和图论概念，纵向研究了帕金森病的大脑网络拓扑与疾病进展的临床测量相关。我们通过标准图分析方法来表征全脑功能网络，测量聚类系数和最短路径长度，以及构建最小生成树，这是一种允许对大脑网络进行独特且公正表征的新颖方法。我们观察到，与对照组相比，早期未经治疗的患者的大脑网络表现出较低的局部聚类，并且在 delta 频带中保留了路径长度。对较大组患者进行的 4 年纵向分析显示，多个频段中的局部聚类逐渐减少，同时 alpha2 频段中的路径长度也减少了。此外，最小生成树分析揭示了早期阶段分散且集成度较低的网络配置，未经治疗的帕金森病也会随着时间的推移而进展。此外，这两种技术所识别的网络拓扑的纵向变化与运动功能和认知能力的恶化有关。我们的研究结果表明，局部效率受损和网络去中心化是帕金森病的早期特征，随着时间的推移，这些特征会持续恶化，同时全球效率也会下降。由于这些网络变化似乎反映了临床相关现象，因此它们有望成为疾病进展的标志。
Although alterations in resting-state functional connectivity between brain regions have previously been reported in Parkinson's disease, the spatial organization of these changes remains largely unknown. Here, we longitudinally studied brain network topology in Parkinson's disease in relation to clinical measures of disease progression, using magnetoencephalography and concepts from graph theory. We characterized whole-brain functional networks by means of a standard graph analysis approach, measuring clustering coefficient and shortest path length, as well as the construction of a minimum spanning tree, a novel approach that allows a unique and unbiased characterization of brain networks. We observed that brain networks in early stage untreated patients displayed lower local clustering with preserved path length in the delta frequency band in comparison to controls. Longitudinal analysis over a 4-year period in a larger group of patients showed a progressive decrease in local clustering in multiple frequency bands together with a decrease in path length in the alpha2 frequency band. In addition, minimum spanning tree analysis revealed a decentralized and less integrated network configuration in early stage, untreated Parkinson's disease that also progressed over time. Moreover, the longitudinal changes in network topology identified with both techniques were associated with deteriorating motor function and cognitive performance. Our results indicate that impaired local efficiency and network decentralization are very early features of Parkinson's disease that continue to progress over time, together with reductions in global efficiency. As these network changes appear to reflect clinically relevant phenomena, they hold promise as markers of disease progression.