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Clin Neurol Neurosurg. 2018 Nov;174:68-74. doi: 10.1016/j.clineuro.2018.09.004. Epub 2018 Sep 5.
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Diagnostic Accuracy of the Chinese Version of the Trail-Making Test for Screening Cognitive Impairment.中文版连线测验用于筛查认知障碍的诊断准确性。
J Am Geriatr Soc. 2018 Jan;66(1):92-99. doi: 10.1111/jgs.15135. Epub 2017 Nov 14.
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White Matter Imaging Correlates of Early Cognitive Impairment Detected by the Montreal Cognitive Assessment After Transient Ischemic Attack and Minor Stroke.短暂性脑缺血发作和轻度卒中后蒙特利尔认知评估检测到的早期认知障碍的白质成像相关性
Stroke. 2017 Jun;48(6):1539-1547. doi: 10.1161/STROKEAHA.116.016044. Epub 2017 May 9.
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MRI progression of cerebral small vessel disease and cognitive decline in patients with hypertension.高血压患者脑小血管病的MRI进展与认知功能减退
J Hypertens. 2017 Jun;35(6):1263-1270. doi: 10.1097/HJH.0000000000001294.
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Neuropathological diagnosis of vascular cognitive impairment and vascular dementia with implications for Alzheimer's disease.血管性认知障碍和血管性痴呆的神经病理学诊断及其对阿尔茨海默病的意义
Acta Neuropathol. 2016 May;131(5):659-85. doi: 10.1007/s00401-016-1571-z. Epub 2016 Apr 9.
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Structural network efficiency predicts conversion to dementia.结构网络效率可预测向痴呆症的转化。
Neurology. 2016 Mar 22;86(12):1112-9. doi: 10.1212/WNL.0000000000002502. Epub 2016 Feb 17.
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Vascular dementia.血管性痴呆。
Lancet. 2015 Oct 24;386(10004):1698-706. doi: 10.1016/S0140-6736(15)00463-8.
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The MATRICS Consensus Cognitive Battery (MCCB): Co-norming and standardization in China.MATRICS共识认知成套测验(MCCB):中国的共同常模制定与标准化
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Cognitive correlates of white matter lesion load and brain atrophy: the Northern Manhattan Study.白质病变负荷与脑萎缩的认知关联:北曼哈顿研究
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The effects of DL-3-n-butylphthalide in patients with vascular cognitive impairment without dementia caused by subcortical ischemic small vessel disease: A multicentre, randomized, double-blind, placebo-controlled trial.丁苯酞治疗皮质下缺血性小血管病源性血管性认知障碍非痴呆患者的多中心、随机、双盲、安慰剂对照试验
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皮质下缺血性血管性痴呆中正常表现白质的微观结构损伤与蒙特利尔认知评估得分相关。

Microstructural damage of normal-appearing white matter in subcortical ischemic vascular dementia is associated with Montreal Cognitive Assessment scores.

作者信息

Liao Zhangyuan, Dang Chun, Li Meijie, Bu Yali, Han Ranran, Jiang Wei

机构信息

Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China.

Tianjin Neurological Institute, Key Laboratory of Post-neurotrauma Neuro-repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City, Tianjin, China.

出版信息

J Int Med Res. 2019 Nov;47(11):5723-5731. doi: 10.1177/0300060519863520. Epub 2019 Jul 25.

DOI:10.1177/0300060519863520
PMID:31342825
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6862888/
Abstract

OBJECTIVES

This study was performed to determine whether multimodal biomarkers are more strongly associated with the Montreal Cognitive Assessment (MoCA) scores compared with the Mini-Mental State Examination (MMSE) scores, and whether they are correlated with the Clinical Dementia Rating (CDR) in patients with subcortical ischemic vascular dementia (SIVD).

METHODS

Patients diagnosed with SIVD were enrolled. Peripheral blood hypersensitive C-reactive protein, white matter lesion volume (WMLV), fractional anisotropy (FA)/mean diffusivity (MD) of whole brain white matter (WBWM), and normal-appearing white matter (NAWM) were measured and correlated with MMSE, MoCA, and CDR scores.

RESULTS

Bivariate analyses of data from 48 included patients revealed that both MoCA and MMSE were significantly associated with age, education, and FA of NAWM. Only MD of NAWM was correlated with MoCA scores. In partial correlation analysis adjusted for demographic and neuroimaging variables, MD/FA of NAWM and the MoCA scores were significantly correlated. FA/MD of NAWM had a modest trend toward a correlation with the CDR, but it was not significant.

CONCLUSIONS

In the patients with SIVD, FA/MD of NAWM were more strongly related to MoCA scores compared with MMSE scores.

摘要

目的

本研究旨在确定与简易精神状态检查表(MMSE)评分相比,多模态生物标志物是否与蒙特利尔认知评估(MoCA)评分的相关性更强,以及它们是否与皮质下缺血性血管性痴呆(SIVD)患者的临床痴呆评定量表(CDR)相关。

方法

纳入诊断为SIVD的患者。测量外周血超敏C反应蛋白、白质病变体积(WMLV)、全脑白质(WBWM)和正常白质(NAWM)的各向异性分数(FA)/平均扩散率(MD),并将其与MMSE、MoCA和CDR评分进行相关性分析。

结果

对48例纳入患者的数据进行双变量分析显示,MoCA和MMSE均与年龄、教育程度及NAWM的FA显著相关。仅NAWM的MD与MoCA评分相关。在对人口统计学和神经影像学变量进行校正的偏相关分析中,NAWM的MD/FA与MoCA评分显著相关。NAWM的FA/MD与CDR有适度的相关趋势,但不显著。

结论

在SIVD患者中,与MMSE评分相比,NAWM的FA/MD与MoCA评分的相关性更强。