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不同的侧化改变可将轻度认知障碍和阿尔茨海默病与健康衰老区分开来:高分辨率 MRI 的统计参数映射。

Distinct laterality alterations distinguish mild cognitive impairment and Alzheimer's disease from healthy aging: statistical parametric mapping with high resolution MRI.

机构信息

Paul. C. Lauterbur Research Centers for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.

出版信息

Hum Brain Mapp. 2013 Dec;34(12):3400-10. doi: 10.1002/hbm.22157. Epub 2012 Aug 28.

Abstract

Laterality of human brain varies under healthy aging and diseased conditions. The alterations in hemispheric asymmetry may embed distinct biomarkers linked to the disease dynamics. Statistical parametric mapping based on high-resolution magnetic resonance imaging (MRI) and image processing techniques have allowed automated characterization of morphological features across the entire brain. In this study, 149 subjects grouped in healthy young, healthy elderly, mild cognitive impairment (MCI), and Alzheimer's disease (AD) were investigated using multivariate analysis for regional cerebral laterality indexed by surface area, curvature index, cortical thickness, and subjacent white matter volume measured on high-resolution MR images. Asymmetry alteration of MCI and AD were characterized by marked region-specific reduction, while healthy elderly featured a distinct laterality shift in the limbic system in addition to regional asymmetry loss. Lack of the laterality shift in limbic system and early loss of asymmetry in entorhinal cortex may be biomarkers to identify preclinical AD among other dementia. Multivariate analysis of hemispheric asymmetry may provide information helpful for monitoring the disease progress and improving the management of MCI and AD.

摘要

人类大脑的侧化在健康衰老和患病情况下会发生变化。大脑半球不对称的改变可能包含与疾病动态相关的独特生物标志物。基于高分辨率磁共振成像 (MRI) 和图像处理技术的统计参数映射允许对整个大脑的形态特征进行自动化特征描述。在这项研究中,使用多元分析方法对 149 名被试进行了研究,这些被试分为健康年轻组、健康老年组、轻度认知障碍 (MCI) 组和阿尔茨海默病 (AD) 组,基于表面积、曲率指数、皮质厚度和高分辨率 MRI 测量的下白质体积等指标,对区域性大脑侧化进行了分析。MCI 和 AD 的侧化改变表现为明显的区域特异性减少,而健康老年人除了区域不对称性丧失外,边缘系统还表现出明显的侧化转移。缺乏边缘系统的侧化转移和早期内嗅皮质的不对称性丧失可能是识别其他痴呆症中临床前 AD 的生物标志物。半球侧化的多元分析可能提供有助于监测疾病进展和改善 MCI 和 AD 管理的信息。

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