Dong Chuanhui, Nabizadeh Nooshin, Caunca Michelle, Cheung Ying Kuen, Rundek Tatjana, Elkind Mitchell S V, DeCarli Charles, Sacco Ralph L, Stern Yaakov, Wright Clinton B
From the Evelyn F. McKnight Brain Institute (C. Dong, N.N., M.C., T.R., R.L.S., C.B.W.); Departments of Neurology (R.L.S., C.D., N.N., T.R., C.B.W.), Human Genetics (R.L.S.), and Epidemiology and Public Health Sciences (T.R., R.L.S., C.B.W.); and Neuroscience Program (R.L.S., C.B.W.), Miller School of Medicine, University of Miami, Miami, FL; Departments of Biostatistics (Y.K.C.) and Epidemiology (M.S.V.E.), Mailman School of Public Health, Columbia University, New York, NY; Departments of Neurology (M.S.V.E.) and Psychiatry (Y.S.), the Gertrude H. Sergievsky Center (M.S.V.E., Y.S.), and the Taub Institute for Research on Alzheimer's Disease and the Aging Brain (Y.S.), Columbia University College of Physicians and Surgeons, New York, NY; and Department of Neurology and the Center for Neuroscience (C. DeCarli), University of California at Davis, Sacramento, CA.
Neurology. 2015 Aug 4;85(5):441-9. doi: 10.1212/WNL.0000000000001716. Epub 2015 Jul 8.
We investigated white matter lesion load and global and regional brain volumes in relation to domain-specific cognitive performance in the stroke-free Northern Manhattan Study (NOMAS) population.
We quantified white matter hyperintensity volume (WMHV), total cerebral volume (TCV), and total lateral ventricular (TLV) volume, as well as hippocampal and cortical gray matter (GM) lobar volumes in a subgroup. We used general linear models to examine MRI markers in relation to domain-specific cognitive performance, adjusting for key covariates.
MRI and cognitive data were available for 1,163 participants (mean age 70 ± 9 years; 60% women; 66% Hispanic, 17% black, 15% white). Across the entire sample, those with greater WMHV had worse processing speed. Those with larger TLV volume did worse on episodic memory, processing speed, and semantic memory tasks, and TCV did not explain domain-specific variability in cognitive performance independent of other measures. Age was an effect modifier, and stratified analysis showed that TCV and WMHV explained variability in some domains above age 70. Smaller hippocampal volume was associated with worse performance across domains, even after adjusting for APOE ε4 and vascular risk factors, whereas smaller frontal lobe volumes were only associated with worse executive function.
In this racially/ethnically diverse, community-based sample, white matter lesion load was inversely associated with cognitive performance, independent of brain atrophy. Lateral ventricular, hippocampal, and lobar GM volumes explained domain-specific variability in cognitive performance.
在无中风的北曼哈顿研究(NOMAS)人群中,我们研究了白质病变负荷以及全脑和区域脑容量与特定领域认知表现之间的关系。
我们对一个亚组中的白质高信号体积(WMHV)、全脑体积(TCV)、总侧脑室(TLV)体积以及海马和皮质灰质(GM)叶体积进行了量化。我们使用一般线性模型来检验MRI标记物与特定领域认知表现之间的关系,并对关键协变量进行了调整。
1163名参与者(平均年龄70±9岁;60%为女性;66%为西班牙裔,17%为黑人,15%为白人)有MRI和认知数据。在整个样本中,WMHV较高的人处理速度较差。TLV体积较大的人在情景记忆、处理速度和语义记忆任务上表现较差,并且TCV在独立于其他测量指标的情况下并不能解释认知表现中特定领域的变异性。年龄是一个效应修饰因素,分层分析表明,在70岁以上人群中,TCV和WMHV在某些领域解释了变异性。即使在调整了APOE ε4和血管危险因素后,较小的海马体积仍与各领域较差的表现相关,而较小的额叶体积仅与较差的执行功能相关。
在这个种族/民族多样化的社区样本中,白质病变负荷与认知表现呈负相关,与脑萎缩无关。侧脑室、海马和叶GM体积解释了认知表现中特定领域的变异性。