Hippocampal and Amygdalar Morphological Abnormalities in Alzheimer's Disease Based on Three Chinese MRI Datasets
文献类型：期刊论文
| 作者 | Wei, Yuanyuan1,7; Huang, Nianwei1; Liu, Yong4,5,6,8 ; Zhang, Xi3; Wang, Silun2; Tang, Xiaoying1
|
| 刊名 | CURRENT ALZHEIMER RESEARCH
 |
| 出版日期 | 2020 |
| 卷号 | 17期号:13页码:1221-1231 |
| 关键词 | Alzheimer's disease mild cognitive impairment shape analysis MMSE large deformation diffeomorphic metric mapping multiple datasets |
| ISSN号 | 1567-2050 |
| DOI | 10.2174/1567205018666210218150223 |
| 通讯作者 | Zhang, Xi(zhangxi@301hospital.com.cn) ; Wang, Silun(lawrence.wang@szdrbrain.com) ; Tang, Xiaoying(tangxy@sustech.edu.cn) |
| 英文摘要 | Background: Early detection of Alzheimer's disease (AD) and its early stage, the mild cognitive impairment (MCI), has important scientific, clinical and social significance. Magnetic resonance imaging (MRI) based statistical shape analysis provides an opportunity to detect regional structural abnormalities of brain structures caused by AD and MCI. Objective: In this work, we aimed to employ a well-established statistical shape analysis pipeline, in the framework of large deformation diffeomorphic metric mapping, to identify and quantify the regional shape abnormalities of the bilateral hippocampus and amygdala at different prodromal stages of AD, using three Chinese MRI datasets collected from different domestic hospitals. Methods: We analyzed the region-specific shape abnormalities at different stages of the neuropathology of AD by comparing the localized shape characteristics of the bilateral hippocampi and amygdalas between healthy controls and two disease groups (MCI and AD). In addition to group comparison analyses, we also investigated the association between the shape characteristics and the Mini Mental State Examination (MMSE) of each structure of interest in the disease group (MCI and AD combined) as well as the discriminative power of different morphometric biomarkers. Results: We found the strongest disease pathology (regional atrophy) at the subiculum and CA1 subregions of the hippocampus and the basolateral, basomedial as well as centromedial subregions of the amygdala. Furthermore, the shape characteristics of the hippocampal and amygdalar subregions exhibiting the strongest AD related atrophy were found to have the most significant positive associations with the MMSE. Employing the shape deformation marker of the hippocampus or the amygdala for automated MCI or AD detection yielded a significant accuracy boost over the corresponding volume measurement. Conclusion: Our results suggested that the amygdalar and hippocampal morphometrics, especially those of shape morphometrics, can be used as auxiliary indicators for monitoring the disease status of an AD patient. |
| WOS关键词 | MILD COGNITIVE IMPAIRMENT ; VENTRICULAR STRUCTURES ; SHAPE-ANALYSIS ; ATROPHY ; DIFFEOMORPHOMETRY ; CLASSIFICATION ; DIAGNOSIS ; PATTERNS ; VOLUME ; MCI |
| 资助项目 | National Natural Science Foundation of China[62071210] ; Shenzhen Basic Research Program[JCYJ20190809120205578] ; National Key R&D Program of China[2017YFC0112404] ; High-level University Fund[G02236002] |
| WOS研究方向 | Neurosciences & Neurology |
| 语种 | 英语 |
| WOS记录号 | WOS:000625061100009 |
| 出版者 | BENTHAM SCIENCE PUBL LTD |
| 资助机构 | National Natural Science Foundation of China ; Shenzhen Basic Research Program ; National Key R&D Program of China ; High-level University Fund |
| 源URL | [http://ir.ia.ac.cn/handle/173211/43991]  |
| 专题 | 自动化研究所_脑网络组研究中心 |
| 通讯作者 | Zhang, Xi; Wang, Silun; Tang, Xiaoying |
| 作者单位 | 1.Southern Univ Sci & Technol, Dept Elect & Elect Engn, Shenzhen, Guangdong, Peoples R China 2.YIWEI Med Technol Co Ltd, Block B,BGD 10,Phase III,Tech Eco Pk, Shenzhen, Guangdong, Peoples R China 3.Chinese Peoples Liberat Army Gen Hosp, Natl Clin Res Ctr Geriatr Dis, Dept Neurol, Nanlou Div, Beijing, Peoples R China 4.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China 5.Chinese Acad Sci, CAS Ctr Excellence Brain Sci & Intelligence Techn, Inst Automat, Beijing, Peoples R China 6.Chinese Acad Sci, Brainnetome Ctr, Inst Automat, Beijing, Peoples R China 7.Univ British Columbia, Sch Biomed Engn, Vancouver, BC, Canada 8.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wei, Yuanyuan,Huang, Nianwei,Liu, Yong,et al. Hippocampal and Amygdalar Morphological Abnormalities in Alzheimer's Disease Based on Three Chinese MRI Datasets[J]. CURRENT ALZHEIMER RESEARCH,2020,17(13):1221-1231. |
| APA | Wei, Yuanyuan,Huang, Nianwei,Liu, Yong,Zhang, Xi,Wang, Silun,&Tang, Xiaoying.(2020).Hippocampal and Amygdalar Morphological Abnormalities in Alzheimer's Disease Based on Three Chinese MRI Datasets.CURRENT ALZHEIMER RESEARCH,17(13),1221-1231. |
| MLA | Wei, Yuanyuan,et al."Hippocampal and Amygdalar Morphological Abnormalities in Alzheimer's Disease Based on Three Chinese MRI Datasets".CURRENT ALZHEIMER RESEARCH 17.13(2020):1221-1231. |
入库方式： OAI收割
来源：自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。