Departments of Neurology, the American Stroke Association/Bugher Foundation Center for Stroke Prevention Research, Duke University Medical Center, Durham, NC 27705, USA.
Stroke. 2010 Sep;41(9):1946-50. doi: 10.1161/STROKEAHA.110.587717. Epub 2010 Jul 22.
White matter hyperintensities (WMHs) found on brain MRI in elderly individuals are largely thought to be due to microvascular disease, and its progression has been associated with cognitive decline. The present study sought to determine patterns of cognitive decline associated with anterior and posterior WMH progression.
Subjects included 110 normal controls, aged >or=60 years, who were participants in the Duke Neurocognitive Outcomes of Depression in the Elderly study. All subjects had comprehensive cognitive evaluations and MRI scans at baseline and after 2 years. Cognitive composites were created in 5 domains: complex processing speed, working memory, general memory, visual-constructional skills, and language. Change in cognition was calculated using standard regression-based models accounting for variables known to impact serial testing. A semiautomated segmentation method was used to measure WMH extent in anterior and posterior brain regions. Hierarchical multiple linear regression models were used to evaluate which of the 5 measured cognitive domains was most strongly associated with regional (anterior and posterior) and total WMH progression after adjusting for demographics (age, sex, and education).
Decline in complex processing speed was independently associated with both anterior (r(2)=0.06, P=0.02) and total WMH progression (r(2)=0.05, P=0.04). In contrast, decline in visual-constructional skills was uniquely associated with posterior progression (r(2)=0.05, P<0.05).
Distinct cognitive profiles are associated with anterior and posterior WMH progression among normal elders. These differing profiles need to be considered when evaluating the cognitive correlates of WMHs.
老年人脑部磁共振成像上发现的脑白质高信号(WMH)主要被认为是微血管疾病所致,其进展与认知能力下降有关。本研究旨在确定与前、后 WMH 进展相关的认知下降模式。
研究对象为 110 名年龄≥60 岁的杜克老年抑郁症神经认知结局研究的正常对照者。所有受试者在基线和 2 年后均进行全面的认知评估和磁共振扫描。在 5 个领域创建认知综合指数:复杂处理速度、工作记忆、一般记忆、视觉构建技能和语言。使用标准回归模型计算认知变化,该模型考虑了影响序列测试的变量。使用半自动分割方法测量前、后脑区 WMH 程度。使用分层多元线性回归模型评估在调整人口统计学(年龄、性别和教育)后,5 个测量认知领域中的哪个与局部(前、后)和总 WMH 进展最密切相关。
复杂处理速度下降与前(r²=0.06,P=0.02)和总 WMH 进展(r²=0.05,P=0.04)均独立相关。相比之下,视觉构建技能下降与后部进展(r²=0.05,P<0.05)具有独特的相关性。
在正常老年人中,与前、后 WMH 进展相关的认知特征不同。在评估 WMH 的认知相关性时,需要考虑这些不同的特征。