Total MRI load of cerebral small vessel disease and cognitive ability in older people

NEUROBIOLOGY OF AGING

卷:36

Article

Staals, Julie^1,2,3  Booth, Tom^4,5  Morris, Zoe³  Bastin, Mark E.^3,5  Gow, Alan J.^5,6  Corley, Janie⁴  Redmond, Paul⁴  Starr, John M.⁴  Deary, Ian J.^4,5  Wardlaw, Joanna M.^3,5 

[1] Maastricht Univ, Med Ctr, Dept Neurol, Maastricht, Netherlands

[2] Maastricht Univ, Med Ctr, Cardiovasc Res Inst Maastricht, Maastricht, Netherlands

[3] Univ Edinburgh, Dept Clin Neurosci, Brain Res Imaging Ctr, Edinburgh EH4 2XU, Midlothian, Scotland

[4] Univ Edinburgh, Dept Psychol, Edinburgh EH4 2XU, Midlothian, Scotland

[5] Univ Edinburgh, Ctr Cognit Ageing & Cognit Epidemiol, Edinburgh EH4 2XU, Midlothian, Scotland

[6] Heriot Watt Univ, Sch Life Sci, Dept Psychol, Edinburgh, Midlothian, Scotland

关键词: Cognitive aging;    MRI;    Cerebrovascular disease;    Cerebral small vessel disease;    White matter hyperintensities;    Cerebral microbleeds;    Lacunes;    Perivascular spaces;   

DOI  :  10.1016/j.neurobiolaging.2015.06.024

来源: Elsevier

【 摘 要 】

Cerebral small vessel disease (SVD) may cause cognitive dysfunction. We tested the association between the combined presence of magnetic resonance imaging (MRI) features of SVD and cognitive ability in older age. Cognitive testing and brain MRI were performed in 680 older participants. MRI presence of lacunes, white matter hyperintensities, microbleeds, and perivascular spaces were summed in a score of 0-4 representing all SVD features combined. We also applied latent variable modeling to test whether the 4 MRI features form a unitary SVD construct. The SVD score showed significant associations with general cognitive ability. Latent variable modeling indicated that the 4 MRI markers formed a unitary construct, which showed consistent associations with cognitive ability compared with the SVD score. Total MRI load of SVD is associated with lower general cognitive ability in older age. The total SVD score performed consistently with the more complex latent variable model, suggesting validity and potential utility in future research for determining total SVD load. (C) 2015 The Authors. Published by Elsevier Inc.

【 授权许可】

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