PSYCH OpenIR  > 中国科学院心理健康重点实验室
Prediction of Progressive Mild Cognitive Impairment by Multi-Modal Neuroimaging Biomarkers
Xu, Lele1; Wu, Xia1,2,3; Li, Rui4; Chen, Kewei5,6; Long, Zhiying2,3; Zhang, Jiacai1; Guo, Xiaojuan1; Yao, Li1,2,3; Alzheimer Dis Neuroimaging
2016
发表期刊JOURNAL OF ALZHEIMERS DISEASE
ISSN1387-2877
文章类型Article
卷号51期号:4页码:1045-1056
摘要For patients with mild cognitive impairment (MCI), the likelihood of progression to probable Alzheimer's disease (AD) is important not only for individual patient care, but also for the identification of participants in clinical trial, so as to provide early interventions. Biomarkers based on various neuroimaging modalities could offer complementary information regarding different aspects of disease progression. The current study adopted a weighted multi-modality sparse representation-based classification method to combine data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database, from three imaging modalities: Volumetric magnetic resonance imaging (MRI), fluorodeoxyglucose (FDG) positron emission tomography (PET), and florbetapir PET. We included 117 normal controls (NC) and 110 MCI patients, 27 of whom progressed to AD within 36 months (pMCI), while the remaining 83 remained stable (sMCI) over the same time period. Modality-specific biomarkers were identified to distinguish MCI from NC and to predict pMCI among MCI. These included the hippocampus, amygdala, middle temporal and inferior temporal regions for MRI, the posterior cingulum, precentral, and postcentral regions for FDG-PET, and the hippocampus, amygdala, and putamen for florbetapir PET. Results indicated that FDG-PET may be a more effective modality in discriminating MCI from NC and in predicting pMCI than florbetapir PET and MRI. Combining modality-specific sensitive biomarkers from the three modalities boosted the discrimination accuracy of MCI from NC (76.7%) and the prediction accuracy of pMCI (82.5%) when compared with the best single-modality results (73.6% for MCI and 75.6% for pMCI with FDG-PET).
关键词Florbetapir Positron Emission Tomography Fluorodeoxyglucose Positron Emission Tomography Magnetic Resonance Imaging Mild Cognitive Impairment Multi-modality Prediction Progressive Mild Cognitive Impairment
DOI10.3233/JAD-151010
收录类别SCI
语种英语
项目资助者863 Program(2015AA020912) ; Funds for International Cooperation and Exchange of the National Natural Science Foundation of China(61210001) ; General Program of National Natural Science Foundation of China(61571047) ; Fundamental Research Funds for the Central Universities ; Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health)(U01AG024904) ; DOD ADNI (Department of Defense)(W81XWH-12-2-0012) ; National Institute on Aging ; National Institute of Biomedical Imaging and Bioengineering ; Canadian Institutes of Health Research
WOS研究方向Neurosciences & Neurology
WOS类目Neurosciences
WOS记录号WOS:000374239300011
WOS标题词Science & Technology ; Life Sciences & Biomedicine
关键词[WOS]POSITRON-EMISSION-TOMOGRAPHY ; ALZHEIMERS-DISEASE ; FDG-PET ; SPARSE REPRESENTATION ; CSF BIOMARKERS ; AMYLOID LOAD ; MRI ; MCI ; CLASSIFICATION ; CONVERSION
引用统计
文献类型期刊论文
条目标识符http://ir.psych.ac.cn/handle/311026/19965
专题中国科学院心理健康重点实验室
作者单位1.Beijing Normal Univ, Coll Informat Sci & Technol, 19 Xin Jie Kou Wai Da Jie, Beijing 100875, Peoples R China
2.Beijing Normal Univ, State Key Lab Cognit Neurosci & Learning, Beijing 100875, Peoples R China
3.Beijing Normal Univ, IDG McGovern Inst Brain Res, Beijing 100875, Peoples R China
4.Chinese Acad Sci, Inst Psychol, Key Lab Mental Hlth, Ctr Aging Psychol, Beijing 100101, Peoples R China
5.Banner Alzheimers Inst, Phoenix, AZ USA
6.Banner Good Samaritan PET Ctr, Phoenix, AZ USA
推荐引用方式
GB/T 7714
Xu, Lele,Wu, Xia,Li, Rui,et al. Prediction of Progressive Mild Cognitive Impairment by Multi-Modal Neuroimaging Biomarkers[J]. JOURNAL OF ALZHEIMERS DISEASE,2016,51(4):1045-1056.
APA Xu, Lele.,Wu, Xia.,Li, Rui.,Chen, Kewei.,Long, Zhiying.,...&Alzheimer Dis Neuroimaging.(2016).Prediction of Progressive Mild Cognitive Impairment by Multi-Modal Neuroimaging Biomarkers.JOURNAL OF ALZHEIMERS DISEASE,51(4),1045-1056.
MLA Xu, Lele,et al."Prediction of Progressive Mild Cognitive Impairment by Multi-Modal Neuroimaging Biomarkers".JOURNAL OF ALZHEIMERS DISEASE 51.4(2016):1045-1056.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Prediction of Progre(551KB)期刊论文作者接受稿限制开放CC BY-NC-SA浏览 请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Xu, Lele]的文章
[Wu, Xia]的文章
[Li, Rui]的文章
百度学术
百度学术中相似的文章
[Xu, Lele]的文章
[Wu, Xia]的文章
[Li, Rui]的文章
必应学术
必应学术中相似的文章
[Xu, Lele]的文章
[Wu, Xia]的文章
[Li, Rui]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Prediction of Progressive Mild Cognitive Impairment by Multi-Modal Neuroimaging Biomarkers..pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

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。