Association of enlarged perivascular spaces with cognitive function in dementia-free older adults: A population-based study.

IF 4 Q1 CLINICAL NEUROLOGY Alzheimer''s and Dementia: Diagnosis, Assessment and Disease Monitoring Pub Date : 2024-07-23 eCollection Date: 2024-07-01 DOI:10.1002/dad2.12618

Mingqing Zhao, Yuanjing Li, Xiaodong Han, Chunyan Li, Pin Wang, Jiafeng Wang, Tingting Hou, Yongxiang Wang, Lin Cong, Joanna M Wardlaw, Lenore J Launer, Lin Song, Yifeng Du, Chengxuan Qiu

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Abstract

Introduction: We sought to characterize cognitive profiles associated with enlarged perivascular spaces (EPVS) among Chinese older adults.

Methods: This population-based study included 1191 dementia-free participants (age ≥60 years) in the MIND-China MRI Substudy (2018-2020). We visually evaluated EPVS in basal ganglia (BG) and centrum semiovale (CSO), white matter hyperintensities (WMHs), lacunes, cerebral microbleeds (CMBs), and cortical superficial siderosis. We used a neuropsychological test battery to assess cognitive function. Data were analyzed using general linear models.

Results: Greater BG-EPVS load was associated with lower z-scores in memory, verbal fluency, and global cognition (p < 0.05); these associations became non-significant when controlling for other cerebral small vessel disease (CSVD) markers (e.g., WMHs, lacunes, and mixed CMBs). Overall, CSO-EPVS load was not associated with cognitive z-scores (p > 0.05); among apolipoprotein E (APOE) -ε4 carriers, greater CSO-EPVS load was associated with lower verbal fluency z-score, even when controlling for other CSVD markers (p < 0.05).

Discussion: The associations of BG-EPVS with poor cognitive function in older adults are largely attributable to other CSVD markers.

Highlights: The association of enlarged perivascular spaces (EPVS) with cognitive function in older people is poorly defined.The association of basal ganglia (BG)-EPVS with poor cognition is attributed to other cerebral small vessel disease (CSVD) markers.In apolipoprotein E (APOE) ε4 carriers, a higher centrum semiovale (CSO)-EPVS load is associated with poorer verbal fluency.

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无痴呆症老年人血管周围空间扩大与认知功能的关系：一项基于人群的研究

简介：我们试图描述中国老年人与血管周围间隙增大（EPVS）相关的认知特征：我们试图描述中国老年人与血管周围间隙增大（EPVS）相关的认知特征：这项基于人群的研究纳入了 MIND-China MRI 子研究（2018-2020 年）中 1191 名无痴呆症的参与者（年龄≥60 岁）。我们目测了基底节（BG）和半卵圆中心（CSO）的EPVS、白质高密度（WMH）、裂隙、脑微出血（CMB）和皮质浅层蛛网膜病变。我们使用神经心理学测试来评估认知功能。数据采用一般线性模型进行分析：结果：BG-EPVS负荷越大，记忆力、语言流畅性和整体认知能力的z-分数越低（p z-分数（p > 0.05）；在载脂蛋白E（APOE）-ε4携带者中，CSO-EPVS负荷越大，语言流畅性的z-分数越低，即使控制了其他CSVD标记物也是如此（p 讨论）：讨论：BG-EPVS 与老年人认知功能低下的关联在很大程度上可归因于其他 CSVD 标志物：在载脂蛋白E（APOE）ε4携带者中，较高的半脑中心（CSO）-EPVS负荷与较差的语言流畅性有关。

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来源期刊

Alzheimer''s and Dementia: Diagnosis, Assessment and Disease Monitoring Medicine-Psychiatry and Mental Health

CiteScore

7.80

自引率

7.50%

发文量

101

审稿时长

8 weeks

期刊介绍： Alzheimer''s & Dementia: Diagnosis, Assessment & Disease Monitoring (DADM) is an open access, peer-reviewed, journal from the Alzheimer''s Association® that will publish new research that reports the discovery, development and validation of instruments, technologies, algorithms, and innovative processes. Papers will cover a range of topics interested in the early and accurate detection of individuals with memory complaints and/or among asymptomatic individuals at elevated risk for various forms of memory disorders. The expectation for published papers will be to translate fundamental knowledge about the neurobiology of the disease into practical reports that describe both the conceptual and methodological aspects of the submitted scientific inquiry. Published topics will explore the development of biomarkers, surrogate markers, and conceptual/methodological challenges. Publication priority will be given to papers that 1) describe putative surrogate markers that accurately track disease progression, 2) biomarkers that fulfill international regulatory requirements, 3) reports from large, well-characterized population-based cohorts that comprise the heterogeneity and diversity of asymptomatic individuals and 4) algorithmic development that considers multi-marker arrays (e.g., integrated-omics, genetics, biofluids, imaging, etc.) and advanced computational analytics and technologies.