Work

Assessing the reliability to detect cerebral hypometabolism in probable Alzheimer's disease and amnestic mild cognitive impairment

Year: 2010

Type: article

Source: Journal of Neuroscience Methods

DOI: 10.1016/j.jneumeth.2010.07.030

Authors: Xia Wu, Kewei Chen, Li Yao, Napatkamon Ayutyanont, Jessica B.S. Langbaum, Adam. Fleisher, Cole Reschke, Wendy Lee, Xiaofen Liu, Gene E. Alexander, Dan Bandy, Norman L. Foster, Paul M. Thompson, Danielle J. Harvey, Michael W. Weiner, Robert A. Koeppe, William J. Jagust, Eric M. Reiman

Institutions: Beijing Normal University, University of Arizona, Banner Alzheimer’s Institute, Arizona Alzheimer’s Consortium, State Key Laboratory of Cognitive Neuroscience and Learning, Arizona State University, University of California San Diego, University of Utah, University of California, Los Angeles, University of California, Davis, San Francisco VA Medical Center, University of California, San Francisco, University of Michigan, University of California, Berkeley

Language: English

Topic: Dementia and Cognitive Impairment Research

Subfield: Psychiatry and Mental health

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Natural Science Foundation of China, National Institutes of Health, National Institute on Aging, National Institute of Mental Health

Awards: G104586243, G1200941929, G1315589061, UC Davis Alzheimer's Disease Core Center, G148514752, G1557667123, G2105795306, G2148328762, G3010029258, G4894255983, G535261599, Alzheimer's Disease Neuroimaging Initiative, G581346744, 独立成分分析法在功能磁共振成像数据分析中的若干问题研究, Arizona Alzheimer's Disease Core Center, G7676863395, G8404204989

OpenAlex ID: W1999142242

FWCI: 1.392

Cites: 15

Cited by: 17

Related to: 10