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Deep microbleeds and periventricular white matter disintegrity are independent predictors of attention/executive dysfunction in non-dementia patients with small vessel disease

Published online by Cambridge University Press:  12 December 2016

Wen-wei Cao
Affiliation:
Department of Neurology, RenJi Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
Yao Wang
Affiliation:
Department of Radiology, RenJi Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
Quan Dong
Affiliation:
Department of Neurology, RenJi Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
Xue Chen
Affiliation:
Department of Radiology, RenJi Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
Yan-sheng Li
Affiliation:
Department of Neurology, RenJi Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
Yan Zhou*
Affiliation:
Department of Radiology, RenJi Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
Li Gao
Affiliation:
Department of Neurology, RenJi Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
Ye Deng
Affiliation:
Department of Neurology, RenJi Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
Qun Xu*
Affiliation:
Department of Neurology, RenJi Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
*
Dr. Y Zhou, MD, PhD in Radiology, RenJi Hospital, School of Medicine, Shanghai Jiao Tong University, No. 160, Pujian Road, Shanghai 200127, China. Email: clare1475@hotmail.com.
Correspondence should be addressed to: Dr. Q Xu, MD, PhD in Neurology, RenJi Hospital, School of Medicine, Shanghai Jiao Tong University, No. 160, Pujian Road, Shanghai 200127, China. Phone: 86-21-68383483. Email: xuqun628@163.com.

Abstract

Background:

Cerebral small vessel disease (SVD) is the common cause of cognitive decline in the old population. MRI can be used to clarify its mechanisms. However, the surrogate markers of MRI for early cognitive impairment in SVD remain uncertain to date. We investigated the cognitive impacts of cerebral microbleeds (CMBs), diffusion tensor imaging (DTI), and brain volumetric measurements in a cohort of post-stroke non-dementia SVD patients.

Methods:

Fifty five non-dementia SVD patients were consecutively recruited and categorized into two groups as no cognitive impairment (NCI) (n = 23) or vascular mild cognitive impairment (VaMCI) (n = 32). Detailed neuropsychological assessment and multimodal MRI were completed.

Results:

The two groups differed significantly on Z scores of all cognitive domains (all p < 0.01) except for the language. There were more patients with hypertension (p = 0.038) or depression (p = 0.019) in the VaMCI than those in the NCI group. Multiple regression analysis of cognition showed periventricular mean diffusivity (MD) (β = −0.457, p < 0.01) and deep CMBs numbers (β = −0.352, p < 0.01) as the predictors of attention/executive function, which explained 45.2% of the total variance. Periventricular MD was the independent predictor for either memory (β = −0.314, p < 0.05) or visuo-spatial function (β = −0.375, p < 0.01); however, only small proportion of variance could be accounted for (9.8% and 12.4%, respectively). Language was not found to be correlated with any of the MRI parameters. No correlation was found between brain atrophic indices and any of the cognitive measures.

Conclusion:

Arteriosclerotic CMBs and periventricular white matter disintegrity seem to be independent MRI surrogated markers in the early stage of cognitive impairment in SVD.

Type
Research Article
Copyright
Copyright © International Psychogeriatric Association 2016 

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Deep microbleeds and periventricular white matter disintegrity are independent predictors of attention/executive dysfunction in non-dementia patients with small vessel disease
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