Glucose metabolism patterns: A potential index to characterize brain ageing and predict high conversion risk into cognitive impairment.

Saved in:
Bibliographic Details
Title: Glucose metabolism patterns: A potential index to characterize brain ageing and predict high conversion risk into cognitive impairment.
Authors: Jiang J; Institute of Biomedical Engineering, School of Information and Communication Engineering, Shanghai University, Shanghai, 200444, China. jiangjiehui@shu.edu.cn., Sheng C; Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China., Chen G; Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China., Liu C; Institute of Biomedical Engineering, School of Information and Communication Engineering, Shanghai University, Shanghai, 200444, China., Jin S; Institute of Biomedical Engineering, School of Information and Communication Engineering, Shanghai University, Shanghai, 200444, China., Li L; Institute of Biomedical Engineering, School of Information and Communication Engineering, Shanghai University, Shanghai, 200444, China., Jiang X; School of Biomedical Engineering, Hainan University, Haikou, 570228, China.; German Centre for Neurodegenerative Disease, Clinical Research Group, Venusberg Campus 1, 53121, Bonn, Germany., Han Y; Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China. hanying@xwh.ccmu.edu.cn.; School of Biomedical Engineering, Hainan University, Haikou, 570228, China. hanying@xwh.ccmu.edu.cn.; Centre of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, 100053, China. hanying@xwh.ccmu.edu.cn.; National Clinical Research Centre for Geriatric Disorders, Beijing, 100053, China. hanying@xwh.ccmu.edu.cn.
Corporate Authors: Alzheimer’s Disease Neuroimaging Initiative
Source: GeroScience [Geroscience] 2022 Aug; Vol. 44 (4), pp. 2319-2336. Date of Electronic Publication: 2022 May 18.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Springer International Publishing Country of Publication: Switzerland NLM ID: 101686284 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2509-2723 (Electronic) Linking ISSN: 25092723 NLM ISO Abbreviation: Geroscience Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Description
ISSN:2509-2723
DOI:10.1007/s11357-022-00588-2