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Grey-matter volume as a potential feature for the classification of Alzheimer's disease and mild cognitive impairment: an exploratory study
Guo, Yane1; Zhang, Zengqiang1,2; Zhou, Bo1; Wang, Pan1; Yao, Hongxiang3; Yuan, Minshao4; An, Ningyu3; Dai, Haitao2; Wang, Luning1; Zhang, Xi1; Liu, Yong5,6
发表期刊NEUROSCIENCE BULLETIN
2014-06-01
卷号30期号:3页码:477-489
文章类型Article
摘要Specific patterns of brain atrophy may be helpful in the diagnosis of Alzheimer's disease (AD). In the present study, we set out to evaluate the utility of grey-matter volume in the classification of AD and amnestic mild cognitive impairment (aMCI) compared to normal control (NC) individuals. Voxel-based morphometric analyses were performed on structural MRIs from 35 AD patients, 27 aMCI patients, and 27 NC participants. A two-sample two-tailed t-test was computed between the NC and AD groups to create a map of abnormal grey matter in AD. The brain areas with significant differences were extracted as regions of interest (ROIs), and the grey-matter volumes in the ROIs of the aMCI patients were included to evaluate the patterns of change across different disease severities. Next, correlation analyses between the grey-matter volumes in the ROIs and all clinical variables were performed in aMCI and AD patients to determine whether they varied with disease progression. The results revealed significantly decreased grey matter in the bilateral hippocampus/parahippocampus, the bilateral superior/middle temporal gyri, and the right precuneus in AD patients. The grey-matter volumes were positively correlated with clinical variables. Finally, we performed exploratory linear discriminative analyses to assess the classifying capacity of grey-matter volumes in the bilateral hippocampus and parahippocampus among AD, aMCI, and NC. Leave-one-out crossvalidation analyses demonstrated that grey-matter volumes in hippocampus and parahippocampus accurately distinguished AD from NC. These findings indicate that grey-matter volumes are useful in the classification of AD.
关键词Alzheimer's Disease Mild Cognitive Impairment Voxel-based Morphometry Grey Matter Volume Classification
WOS标题词Science & Technology ; Life Sciences & Biomedicine
关键词[WOS]VOXEL-BASED MORPHOMETRY ; RESTING-STATE FMRI ; GRAY-MATTER ; ASSOCIATION WORKGROUPS ; DIAGNOSTIC GUIDELINES ; NATIONAL INSTITUTE ; FUNCTIONAL CONNECTIVITY ; REGIONAL HOMOGENEITY ; IMAGING BIOMARKERS ; STRUCTURAL MRI
收录类别SCI
语种英语
WOS研究方向Neurosciences & Neurology
WOS类目Neurosciences
WOS记录号WOS:000336728700014
引用统计
被引频次:34[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/3213
专题脑网络组研究
作者单位1.Chinese Peoples Liberat Army Gen Hosp, Inst Gerontol & Geriatr, Dept Neurol, Beijing 100853, Peoples R China
2.Chinese Peoples Liberat Army Gen Hosp, Hainan Branch, Sanya 572014, Peoples R China
3.Chinese Peoples Liberat Army Gen Hosp, Dept Radiol, Beijing 100853, Peoples R China
4.Peoples Hosp Jimo, Dept Neurol, Qingdao 266200, Peoples R China
5.Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Beijing 100190, Peoples R China
6.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
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GB/T 7714
Guo, Yane,Zhang, Zengqiang,Zhou, Bo,et al. Grey-matter volume as a potential feature for the classification of Alzheimer's disease and mild cognitive impairment: an exploratory study[J]. NEUROSCIENCE BULLETIN,2014,30(3):477-489.
APA Guo, Yane.,Zhang, Zengqiang.,Zhou, Bo.,Wang, Pan.,Yao, Hongxiang.,...&Liu, Yong.(2014).Grey-matter volume as a potential feature for the classification of Alzheimer's disease and mild cognitive impairment: an exploratory study.NEUROSCIENCE BULLETIN,30(3),477-489.
MLA Guo, Yane,et al."Grey-matter volume as a potential feature for the classification of Alzheimer's disease and mild cognitive impairment: an exploratory study".NEUROSCIENCE BULLETIN 30.3(2014):477-489.
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