Zhang Jinhuan, Liu Yongfeng, Lan Kai, Huang Xingxian, He Yuhai, Yang Fuxia, Li Jiaying, Hu Qingmao, Xu Jinping, Yu Haibo
The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, China.
Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Front Aging Neurosci. 2021 Mar 31;13:627919. doi: 10.3389/fnagi.2021.627919. eCollection 2021.
Voxel-based morphometry (VBM) has been widely used to investigate structural alterations in amnesia mild cognitive impairment (aMCI). However, inconsistent results have hindered our understanding of the exact neuropathology related to aMCI. Our aim was to systematically review the literature reporting VBM on aMCI to elucidate consistent gray matter alterations, their functional characterization, and corresponding co-activation patterns. The PubMed, Web of Science, and EMBASE databases were searched for VBM studies on aMCI published from inception up to June 2020. Peak coordinates were extracted from clusters that showed significant gray matter differences between aMCI patients and healthy controls (HC). Meta-analysis was performed using seed-based mapping with the permutation of subject images (SDM-PSI), a newly improved meta-analytic method. Functional characterization and task-based co-activation patterns using the BrainMap database were performed on significant clusters to explore their functional roles. Finally, VBM was performed based on the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset to further support the findings. A total of 31 studies with 681 aMCI patients and 837 HC were included in this systematic review. The aMCI group showed significant gray matter atrophy in the left amygdala and right hippocampus, which was consistent with results from the ADNI dataset. Functional characterization revealed that these regions were mainly associated with emotion, cognition, and perception. Further, meta-regression analysis demonstrated that gray matter atrophy in the left inferior frontal gyrus and the left angular gyrus was significantly associated with cognitive impairment in the aMCI group. The findings of gray matter atrophy in the left amygdala and right hippocampus are highly consistent and robust, and not only offer a better understanding of the underlying neuropathology but also provide accurate potential biomarkers for aMCI.
基于体素的形态学测量（VBM）已被广泛用于研究遗忘型轻度认知障碍（aMCI）的结构改变。然而，结果的不一致阻碍了我们对与aMCI相关的确切神经病理学的理解。我们的目的是系统回顾报告aMCI的VBM研究，以阐明一致的灰质改变、其功能特征以及相应的共激活模式。在PubMed、科学网和EMBASE数据库中检索从开始到2020年6月发表的关于aMCI的VBM研究。从显示aMCI患者与健康对照（HC）之间存在显著灰质差异的簇中提取峰值坐标。使用基于种子的映射与受试者图像置换的元分析方法（SDM-PSI）进行元分析，这是一种新改进的元分析方法。对显著簇进行基于BrainMap数据库的功能特征和基于任务的共激活模式分析，以探索其功能作用。最后，基于阿尔茨海默病神经影像学倡议（ADNI）数据集进行VBM，以进一步支持研究结果。本系统评价共纳入31项研究，其中有681例aMCI患者和837例HC。aMCI组在左侧杏仁核和右侧海马体显示出显著的灰质萎缩，这与ADNI数据集的结果一致。功能特征显示这些区域主要与情绪、认知和感知相关。此外，元回归分析表明，左侧额下回和左侧角回的灰质萎缩与aMCI组的认知障碍显著相关。左侧杏仁核和右侧海马体灰质萎缩的研究结果高度一致且可靠，不仅有助于更好地理解潜在神经病理学，还为aMCI提供了准确的潜在生物标志物。
