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Aberrant Connectivity in Mild Cognitive Impairment and Alzheimer Disease Revealed by Multimodal Neuroimaging Data
Li, Qing1; Wu, Xia1,2; Xie, Fufang1; Chen, Kewei3,4; Yao, Li1,2; Zhang, Jiacai1; Guo, Xiaojuan1; Li, Rui5; Alzheimers Dis Neuroimaging Initi
2018
发表期刊NEURODEGENERATIVE DISEASES
通讯作者邮箱wuxia @ bnu.edu.cn
ISSN1660-2854
文章类型Article
卷号18期号:1页码:5-18
产权排序4
摘要

Background: Making use of multimodal data simultaneously to understand the neural mechanism of mild cognitive impairment (MCI) has been in the focus nowadays. The simultaneous use of multimodal data can take advantage of each modality which may only provide the view of one specific aspect of the brain. Objective: To this end, the present study used structural magnetic resonance imaging (sMRI), fluorodeoxyglucose positron emission tomography (FDG-PET) and florbetapir PET to reveal the integrated brain network between MCI and normal controls (NCs). Methods: In this study, 116 MCI, 116 NC and 116 Alzheimer disease (AD) subjects from the Alzheimer's Disease Neuroimaging Initiative were included for the evaluation of the brain covariance graphic model. Sparse inverse covariance estimation was utilized to get the graphic model. Results: The connections among different brain regions were quite different between NC and MCI or between MCI and AD subjects (p < 0.01). The number of connections, which were represented by the covariance among different brain regions in the graphic model, decreased from NC to MCI and then AD, especially in the temporal lobe, occipital-parietal lobe and parietal-temporal lobe. Conclusion: These findings are good evidence to reveal the difference between MCI or AD and NC, and enhance the understanding of MCI. (c) 2018 S. Karger AG, Basel

关键词Alzheimer disease Brain disorders Mild cognitive impairment Multimodal imaging Sparse inverse covariance estimation
DOI10.1159/000484248
收录类别SCI
语种英语
项目资助者Funds for International Cooperation and Exchanges 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(2017EYT36) ; Fundamental Research Funds of the Central Universities(2017STUD34)
WOS研究方向Neurosciences & Neurology
WOS类目Clinical Neurology ; Neurosciences
WOS记录号WOS:000427730100002
WOS标题词Science & Technology ; Life Sciences & Biomedicine
关键词[WOS]FUNCTIONAL CONNECTIVITY ; SPARSE REPRESENTATION ; CEREBROSPINAL-FLUID ; BIPOLAR DISORDER ; MCI PATIENTS ; MR-IMAGES ; BRAIN ; PET ; CLASSIFICATION ; SCHIZOPHRENIA
引用统计
文献类型期刊论文
条目标识符http://ir.psych.ac.cn/handle/311026/26095
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, Beijing 100875, Peoples R China
2.Beijing Normal Univ, State Key Lab Cognit Neurosci & Learning, Beijing, Peoples R China
3.Banner Alzheimers Inst, Phoenix, AZ USA
4.Banner Good Samaritan PET Ctr, Phoenix, AZ USA
5.Ctr Aging Psychol, Inst Psychol, CAS Key Lab Mental Hlth, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Li, Qing,Wu, Xia,Xie, Fufang,et al. Aberrant Connectivity in Mild Cognitive Impairment and Alzheimer Disease Revealed by Multimodal Neuroimaging Data[J]. NEURODEGENERATIVE DISEASES,2018,18(1):5-18.
APA Li, Qing.,Wu, Xia.,Xie, Fufang.,Chen, Kewei.,Yao, Li.,...&Alzheimers Dis Neuroimaging Initi.(2018).Aberrant Connectivity in Mild Cognitive Impairment and Alzheimer Disease Revealed by Multimodal Neuroimaging Data.NEURODEGENERATIVE DISEASES,18(1),5-18.
MLA Li, Qing,et al."Aberrant Connectivity in Mild Cognitive Impairment and Alzheimer Disease Revealed by Multimodal Neuroimaging Data".NEURODEGENERATIVE DISEASES 18.1(2018):5-18.
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