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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2021-03-01
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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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