PSYCH OpenIR  > 中国科学院心理健康重点实验室
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
First AuthorLi, Qing
2018
Source PublicationNEURODEGENERATIVE DISEASES
Correspondent Emailwuxia @ bnu.edu.cn
ISSN1660-2854
SubtypeArticle
Volume18Issue:1Pages:5-18
QuartileQ2
Contribution Rank4
Abstract

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

KeywordAlzheimer disease Brain disorders Mild cognitive impairment Multimodal imaging Sparse inverse covariance estimation
DOI10.1159/000484248
Indexed BySCI
Language英语
Funding OrganizationFunds 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 Research AreaNeurosciences & Neurology
WOS SubjectClinical Neurology ; Neurosciences
WOS IDWOS:000427730100002
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
WOS KeywordFUNCTIONAL CONNECTIVITY ; SPARSE REPRESENTATION ; CEREBROSPINAL-FLUID ; BIPOLAR DISORDER ; MCI PATIENTS ; MR-IMAGES ; BRAIN ; PET ; CLASSIFICATION ; SCHIZOPHRENIA
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/26095
Collection中国科学院心理健康重点实验室
Corresponding AuthorWu, Xia
Affiliation1.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
Recommended Citation
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.
Files in This Item:
File Name/Size DocType Version Access License
Aberrant Connectivit(1269KB)期刊论文出版稿限制开放CC BY-NC-SAView Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Li, Qing]'s Articles
[Wu, Xia]'s Articles
[Xie, Fufang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Li, Qing]'s Articles
[Wu, Xia]'s Articles
[Xie, Fufang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Li, Qing]'s Articles
[Wu, Xia]'s Articles
[Xie, Fufang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Aberrant Connectivity in Mild Cognitive Impairment and Alzheimer Disease Revealed by Multimodal Neuroimaging Data.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.