Department of Neurology, Donders Center for Medical Neurosciences, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands.
Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, 510080 Guangzhou, China.
Brain. 2023 Nov 2;146(11):4659-4673. doi: 10.1093/brain/awad220.
The link between white matter hyperintensities (WMH) and cortical thinning is thought to be an important pathway by which WMH contributes to cognitive deficits in cerebral small vessel disease (SVD). However, the mechanism behind this association and the underlying tissue composition abnormalities are unclear. The objective of this study is to determine the association between WMH and cortical thickness, and the in vivo tissue composition abnormalities in the WMH-connected cortical regions. In this cross-sectional study, we included 213 participants with SVD who underwent standardized protocol including multimodal neuroimaging scans and cognitive assessment (i.e. processing speed, executive function and memory). We identified the cortex connected to WMH using probabilistic tractography starting from the WMH and defined the WMH-connected regions at three connectivity levels (low, medium and high connectivity level). We calculated the cortical thickness, myelin and iron of the cortex based on T1-weighted, quantitative R1, R2* and susceptibility maps. We used diffusion-weighted imaging to estimate the mean diffusivity of the connecting white matter tracts. We found that cortical thickness, R1, R2* and susceptibility values in the WMH-connected regions were significantly lower than in the WMH-unconnected regions (all Pcorrected < 0.001). Linear regression analyses showed that higher mean diffusivity of the connecting white matter tracts were related to lower thickness (β = -0.30, Pcorrected < 0.001), lower R1 (β = -0.26, Pcorrected = 0.001), lower R2* (β = -0.32, Pcorrected < 0.001) and lower susceptibility values (β = -0.39, Pcorrected < 0.001) of WMH-connected cortical regions at high connectivity level. In addition, lower scores on processing speed were significantly related to lower cortical thickness (β = 0.20, Pcorrected = 0.030), lower R1 values (β = 0.20, Pcorrected = 0.006), lower R2* values (β = 0.29, Pcorrected = 0.006) and lower susceptibility values (β = 0.19, Pcorrected = 0.024) of the WMH-connected regions at high connectivity level, independent of WMH volumes and the cortical measures of WMH-unconnected regions. Together, our study demonstrated that the microstructural integrity of white matter tracts passing through WMH is related to the regional cortical abnormalities as measured by thickness, R1, R2* and susceptibility values in the connected cortical regions. These findings are indicative of cortical thinning, demyelination and iron loss in the cortex, which is most likely through the disruption of the connecting white matter tracts and may contribute to processing speed impairment in SVD, a key clinical feature of SVD. These findings may have implications for finding intervention targets for the treatment of cognitive impairment in SVD by preventing secondary degeneration.
脑小血管病(SVD)患者的脑白质高信号(WMH)与皮质变薄之间存在关联,据认为这是 WMH 导致认知障碍的重要途径。然而,这种关联的机制以及潜在的组织成分异常尚不清楚。本研究旨在确定 WMH 与皮质厚度之间的关系,以及 WMH 相关皮质区域的体内组织成分异常。在这项横断面研究中,我们纳入了 213 名 SVD 患者,这些患者接受了包括多模态神经影像学扫描和认知评估(即处理速度、执行功能和记忆)在内的标准化方案。我们使用从 WMH 开始的概率追踪技术确定与 WMH 相连的皮质区域,并根据三个连通水平(低、中、高连通水平)定义 WMH 相连区域。我们基于 T1 加权像、定量 R1、R2和磁化率图计算皮质厚度、髓鞘和铁含量。我们使用扩散加权成像来估计连接白质束的平均弥散度。我们发现,WMH 相连区域的皮质厚度、R1、R2和磁化率值明显低于 WMH 不相连区域(所有 P 校正 < 0.001)。线性回归分析表明,连接白质束的平均弥散度越高,与皮质厚度(β=-0.30,P 校正 < 0.001)、R1(β=-0.26,P 校正 = 0.001)、R2*(β=-0.32,P 校正 < 0.001)和磁化率值(β=-0.39,P 校正 < 0.001)越低有关。此外,处理速度的评分越低,与 WMH 相连区域的皮质厚度(β=0.20,P 校正=0.030)、R1 值(β=0.20,P 校正=0.006)、R2值(β=0.29,P 校正=0.006)和磁化率值(β=0.19,P 校正=0.024)越低有关,这些区域的连通性水平较高,这与 WMH 体积和 WMH 不相连区域的皮质测量值无关。总之,我们的研究表明,穿过 WMH 的白质束的微观结构完整性与连接皮质区域的厚度、R1、R2和磁化率值所测量的区域皮质异常有关。这些发现表明,皮质变薄、脱髓鞘和铁丢失,这很可能是由于连接白质束的中断,可能导致 SVD 患者的处理速度受损,这是 SVD 的一个关键临床特征。这些发现可能对通过预防继发性退化来寻找治疗 SVD 认知障碍的干预靶点具有重要意义。