Gray Matter Atrophy in Amnestic Mild Cognitive Impairment: A Voxel-Based Meta-Analysis

Background: 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.Objectives: Our aim was to systematically review...

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Main Authors: Jinhuan Zhang, Yongfeng Liu, Kai Lan, Xingxian Huang, Yuhai He, Fuxia Yang, Jiaying Li, Qingmao Hu, Jinping Xu, Haibo Yu
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-03-01
Series:Frontiers in Aging Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fnagi.2021.627919/full
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spelling doaj-ad5a0ff6c5944d26bafc2b047cbf1d4c2021-03-31T05:31:31ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652021-03-011310.3389/fnagi.2021.627919627919Gray Matter Atrophy in Amnestic Mild Cognitive Impairment: A Voxel-Based Meta-AnalysisJinhuan Zhang0Jinhuan Zhang1Yongfeng Liu2Kai Lan3Xingxian Huang4Yuhai He5Fuxia Yang6Jiaying Li7Qingmao Hu8Jinping Xu9Haibo Yu10Haibo Yu11The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, ChinaInstitute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, ChinaDepartment of Acupuncture and Moxibustion, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, ChinaThe Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, ChinaDepartment of Acupuncture and Moxibustion, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, ChinaThe Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, ChinaDepartment of Acupuncture and Moxibustion, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, ChinaInstitute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, ChinaInstitute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, ChinaInstitute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, ChinaThe Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, ChinaDepartment of Acupuncture and Moxibustion, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, ChinaBackground: 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.Objectives: 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.Methods: 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 d 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.Results: 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.Conclusions: 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.https://www.frontiersin.org/articles/10.3389/fnagi.2021.627919/fullamnestic mild cognitive impairmentvoxel-based morphometrygray matter volumemeta-analysisseed-based d mapping
collection DOAJ
language English
format Article
sources DOAJ
author Jinhuan Zhang
Jinhuan Zhang
Yongfeng Liu
Kai Lan
Xingxian Huang
Yuhai He
Fuxia Yang
Jiaying Li
Qingmao Hu
Jinping Xu
Haibo Yu
Haibo Yu
spellingShingle Jinhuan Zhang
Jinhuan Zhang
Yongfeng Liu
Kai Lan
Xingxian Huang
Yuhai He
Fuxia Yang
Jiaying Li
Qingmao Hu
Jinping Xu
Haibo Yu
Haibo Yu
Gray Matter Atrophy in Amnestic Mild Cognitive Impairment: A Voxel-Based Meta-Analysis
Frontiers in Aging Neuroscience
amnestic mild cognitive impairment
voxel-based morphometry
gray matter volume
meta-analysis
seed-based d mapping
author_facet Jinhuan Zhang
Jinhuan Zhang
Yongfeng Liu
Kai Lan
Xingxian Huang
Yuhai He
Fuxia Yang
Jiaying Li
Qingmao Hu
Jinping Xu
Haibo Yu
Haibo Yu
author_sort Jinhuan Zhang
title Gray Matter Atrophy in Amnestic Mild Cognitive Impairment: A Voxel-Based Meta-Analysis
title_short Gray Matter Atrophy in Amnestic Mild Cognitive Impairment: A Voxel-Based Meta-Analysis
title_full Gray Matter Atrophy in Amnestic Mild Cognitive Impairment: A Voxel-Based Meta-Analysis
title_fullStr Gray Matter Atrophy in Amnestic Mild Cognitive Impairment: A Voxel-Based Meta-Analysis
title_full_unstemmed Gray Matter Atrophy in Amnestic Mild Cognitive Impairment: A Voxel-Based Meta-Analysis
title_sort gray matter atrophy in amnestic mild cognitive impairment: a voxel-based meta-analysis
publisher Frontiers Media S.A.
series Frontiers in Aging Neuroscience
issn 1663-4365
publishDate 2021-03-01
description Background: 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.Objectives: 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.Methods: 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 d 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.Results: 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.Conclusions: 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.
topic amnestic mild cognitive impairment
voxel-based morphometry
gray matter volume
meta-analysis
seed-based d mapping
url https://www.frontiersin.org/articles/10.3389/fnagi.2021.627919/full
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