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White matter integrity and structural brain network topology in cerebral small vessel disease: The Hamburg city health study
Human Brain Mapping ( IF 3.5 ) Pub Date : 2020-12-08 , DOI: 10.1002/hbm.25301 Benedikt M Frey 1 , Marvin Petersen 1 , Eckhard Schlemm 1 , Carola Mayer 1 , Uta Hanning 2 , Kristin Engelke 2 , Jens Fiehler 2 , Katrin Borof 3 , Annika Jagodzinski 3, 4 , Christian Gerloff 1 , Götz Thomalla 1 , Bastian Cheng 1
Human Brain Mapping ( IF 3.5 ) Pub Date : 2020-12-08 , DOI: 10.1002/hbm.25301 Benedikt M Frey 1 , Marvin Petersen 1 , Eckhard Schlemm 1 , Carola Mayer 1 , Uta Hanning 2 , Kristin Engelke 2 , Jens Fiehler 2 , Katrin Borof 3 , Annika Jagodzinski 3, 4 , Christian Gerloff 1 , Götz Thomalla 1 , Bastian Cheng 1
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Cerebral small vessel disease is a common finding in the elderly and associated with various clinical sequelae. Previous studies suggest disturbances in the integration capabilities of structural brain networks as a mediating link between imaging and clinical presentations. To what extent cerebral small vessel disease might interfere with other measures of global network topology is not well understood. Connectomes were reconstructed via diffusion weighted imaging in a sample of 930 participants from a population based epidemiologic study. Linear models were fitted testing for an association of graph‐theoretical measures reflecting integration and segregation with both the Peak width of Skeletonized Mean Diffusivity (PSMD) and the load of white matter hyperintensities of presumed vascular origin (WMH). The latter were subdivided in periventricular and deep for an analysis of localisation‐dependent correlations of cerebral small vessel disease. The median WMH volume was 0.6 mL (1.4) and the median PSMD 2.18 mm2/s x 10−4 (0.5). The connectomes showed a median density of 0.880 (0.030), the median values for normalised global efficiency, normalised clustering coefficient, modularity Q and small‐world propensity were 0.780 (0.045), 1.182 (0.034), 0.593 (0.026) and 0.876 (0.040) respectively. An increasing burden of cerebral small vessel disease was significantly associated with a decreased integration and increased segregation and thus decreased small‐worldness of structural brain networks. Even in rather healthy subjects increased cerebral small vessel disease burden is accompanied by topological brain network disturbances. Segregation parameters and small‐worldness might as well contribute to the understanding of the known clinical sequelae of cerebral small vessel disease.
中文翻译：
脑小血管疾病中的白质完整性和结构性脑网络拓扑：汉堡市健康研究
脑小血管疾病是老年人的常见病，并与各种临床后遗症相关。先前的研究表明，结构性大脑网络的整合能力受到干扰，作为成像和临床表现之间的中介联系。脑小血管疾病在多大程度上可能干扰全球网络拓扑的其他测量尚不清楚。通过扩散加权成像对来自一项基于人群的流行病学研究的 930 名参与者样本重建了连接体。线性模型拟合测试图论测量的关联，反映整合和分离与骨架化平均扩散率（PSMD）的峰宽和假定血管起源的白质高信号负载（WMH）。后者被细分为脑室周围和深部，以分析脑小血管疾病的局部依赖性相关性。中位WMH体积为0.6mL(1.4)，中位PSMD为2.18mm 2 /sx 10 -4 (0.5)。连接组的中位密度为 0.880 (0.030)，归一化全局效率、归一化聚类系数、模块化 Q 和小世界倾向的中位值为 0.780 (0.045)、1.182 (0.034)、0.593 (0.026) 和 0.876 (0.040) ） 分别。脑小血管疾病负担的增加与整合度的降低和分离度的增加显着相关，从而降低了结构性脑网络的小世界性。即使在相当健康的受试者中，脑小血管疾病负担的增加也伴随着拓扑脑网络紊乱。 分离参数和小世界也可能有助于理解脑小血管疾病的已知临床后遗症。
更新日期：2020-12-08
中文翻译：
脑小血管疾病中的白质完整性和结构性脑网络拓扑：汉堡市健康研究
脑小血管疾病是老年人的常见病，并与各种临床后遗症相关。先前的研究表明，结构性大脑网络的整合能力受到干扰，作为成像和临床表现之间的中介联系。脑小血管疾病在多大程度上可能干扰全球网络拓扑的其他测量尚不清楚。通过扩散加权成像对来自一项基于人群的流行病学研究的 930 名参与者样本重建了连接体。线性模型拟合测试图论测量的关联，反映整合和分离与骨架化平均扩散率（PSMD）的峰宽和假定血管起源的白质高信号负载（WMH）。后者被细分为脑室周围和深部，以分析脑小血管疾病的局部依赖性相关性。中位WMH体积为0.6mL(1.4)，中位PSMD为2.18mm 2 /sx 10 -4 (0.5)。连接组的中位密度为 0.880 (0.030)，归一化全局效率、归一化聚类系数、模块化 Q 和小世界倾向的中位值为 0.780 (0.045)、1.182 (0.034)、0.593 (0.026) 和 0.876 (0.040) ） 分别。脑小血管疾病负担的增加与整合度的降低和分离度的增加显着相关，从而降低了结构性脑网络的小世界性。即使在相当健康的受试者中，脑小血管疾病负担的增加也伴随着拓扑脑网络紊乱。 分离参数和小世界也可能有助于理解脑小血管疾病的已知临床后遗症。
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