Grey-matter volume as a potential feature for the classification of Alzheimer's disease and mild cognitive impairment: an exploratory study
文献类型：期刊论文
| 作者 | Guo, Yane1; Zhang, Zengqiang1,2; Zhou, Bo1 ; Wang, Pan1; Yao, Hongxiang3; Yuan, Minshao4; An, Ningyu3; Dai, Haitao2; Wang, Luning1; Zhang, Xi1
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| 刊名 | NEUROSCIENCE BULLETIN
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| 出版日期 | 2014-06-01 |
| 卷号 | 30期号:3页码:477-489 |
| 关键词 | Alzheimer's disease mild cognitive impairment voxel-based morphometry grey matter volume classification |
| 英文摘要 | 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. |
| WOS标题词 | Science & Technology ; Life Sciences & Biomedicine |
| 类目[WOS] | Neurosciences |
| 研究领域[WOS] | Neurosciences & Neurology |
| 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记录号 | WOS:000336728700014 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/3213]  |
| 专题 | 自动化研究所_脑网络组研究中心 |
| 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 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：自动化研究所
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