Effects of white matter hyperintensities distribution and clustering on late-life cognitive impairment.
Effects of white matter hyperintensities distribution and clustering on late-life cognitive impairment.
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DOI：
10.1038/s41598-022-06019-8
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发表时间：
2022-02-04
影响因子：
4.6
通讯作者：
Eich T
中科院分区：
文献类型：
--
作者：
Jiménez-Balado J;Corlier F;Habeck C;Stern Y;Eich T
白质高强度（WMH）是亚临床脑血管疾病的一个重要标志，并且已知会损害认知。在这里，我们使用一种基于脑叶区和与脑室距离的新系统对脑mh进行了分割，将大脑划分为一个由36个不同区域组成的坐标系统（“靶心”分割），然后使用两种不同的分析方法研究了分布对认知的影响。数据来自无痴呆的健康老年人（58至84岁）的典型样本。认知评估采用12个计算机化任务，分为4个指标，分别是情景记忆、处理速度、流畅推理和词汇。我们首先根据靶心分割评估了WMH的分布，并测试了WMH分割与四个认知领域的表现之间的关系。然后，我们使用数据驱动的方法推导出WMH分布中的潜在变量，并测试了这些潜在成分与认知功能之间的关系。我们观察到不同的，定义良好的认知结构映射到特定的WMH分布。处理速度与额叶的WMH相关，而在情景记忆的情况下，这种关系更为普遍，涉及到大部分的脑包。主成分分析显示，36个靶心区可分解为3个潜在成分，代表WMH的自然聚集：额顶脑室周围（WMH主要在额、顶叶和基底节区，特别是在脑室周围区）；枕;以及颞叶和近皮层的WMH（包括颞叶和额叶和顶叶的近皮层区域的WMH）。我们发现额顶叶脑室周围WMH和颞叶&皮质旁WMH分别与加工速度和情景记忆独立相关。这些结果表明，不同的认知障碍表型可能存在特定的WMH分布。此外，我们的研究鼓励未来的研究考虑使用包裹系统而不是心室周围和深部定位的WMH分类。
White matter hyperintensities (WMH) are a key hallmark of subclinical cerebrovascular disease and are known to impair cognition. Here, we parcellated WMH using a novel system that segments WMH based on both lobar regions and distance from the ventricles, dividing the brain into a coordinate system composed of 36 distinct parcels (‘bullseye’ parcellation), and then investigated the effect of distribution on cognition using two different analytic approaches. Data from a well characterized sample of healthy older adults (58 to 84 years) who were free of dementia were included. Cognition was evaluated using 12 computerized tasks, factored onto 4 indices representing episodic memory, speed of processing, fluid reasoning and vocabulary. We first assessed the distribution of WMH according to the bullseye parcellation and tested the relationship between WMH parcellations and performance across the four cognitive domains. Then, we used a data-driven approach to derive latent variables within the WMH distribution, and tested the relation between these latent components and cognitive function. We observed that different, well-defined cognitive constructs mapped to specific WMH distributions. Speed of processing was correlated with WMH in the frontal lobe, while in the case of episodic memory, the relationship was more ubiquitous, involving most of the parcellations. A principal components analysis revealed that the 36 bullseye regions factored onto 3 latent components representing the natural aggrupation of WMH: fronto-parietal periventricular (WMH principally in the frontal and parietal lobes and basal ganglia, especially in the periventricular region); occipital; and temporal and juxtacortical WMH (involving WMH in the temporal lobe, and at the juxtacortical region from frontal and parietal lobes). We found that fronto-parietal periventricular and temporal & juxtacortical WMH were independently associated with speed of processing and episodic memory, respectively. These results indicate that different cognitive impairment phenotypes might present with specific WMH distributions. Additionally, our study encourages future research to consider WMH classifications using parcellations systems other than periventricular and deep localizations.
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DOI：
10.1136/bmj.c3666
发表时间：
2010-07-26
期刊：
BMJ (Clinical research ed.)
影响因子：
--
作者：
Debette S;Markus HS
通讯作者：
Markus HS
影响因子：
4.4
作者：
Jimenez-Balado, Joan;Riba-Llena, Iolanda;Delgado, Pilar
通讯作者：
Delgado, Pilar
影响因子：
29
作者：
Kester, Maartje I.;Goos, Jeroen D. C.;van der Flier, Wiesje M.
通讯作者：
van der Flier, Wiesje M.
影响因子：
5.7
作者：
Griffanti L;Zamboni G;Khan A;Li L;Bonifacio G;Sundaresan V;Schulz UG;Kuker W;Battaglini M;Rothwell PM;Jenkinson M
通讯作者：
Jenkinson M
影响因子：
11.3
作者：
Brickman AM;Sneed JR;Provenzano FA;Garcon E;Johnert L;Muraskin J;Yeung LK;Zimmerman ME;Roose SP
通讯作者：
Roose SP