Work

Mapping Alzheimer's disease progression in 1309 MRI scans: Power estimates for different inter-scan intervals

Year: 2010

Type: article

Study design: Observational Study

Source: NeuroImage

DOI: 10.1016/j.neuroimage.2010.01.104

Authors: Xue Hua, Suh Lee, Derrek P. Hibar, Igor Yanovsky, Alex D. Leow, Arthur W. Toga, Clifford R. Jack, Matt A. Bernstein, Eric M. Reiman, Danielle J. Harvey, John Kornak, Norbert Schuff, Gene E. Alexander, Michael W. Weiner, Paul M. Thompson

Institutions: University of California, Los Angeles, Mayo Clinic, University of Arizona, Banner Alzheimer’s Institute, University of California, Davis, University of California, San Francisco, University of California San Francisco Medical Center, San Francisco VA Medical Center

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: Northern California Institute for Research and Education, Eisai, National Institutes of Health, National Institute on Aging, National Institute of Biomedical Imaging and Bioengineering, National Center for Research Resources, Eunice Kennedy Shriver National Institute of Child Health and Human Development

Awards: G104586243, UC Davis Alzheimer's Disease Core Center, G1557667123, Genetic influences on the brain: A twin imaging study, G3157495676, Predictors of Alheimers Disease in Mild Cognitive Impairment, G4894255983, Center for Computational Biology (CCB)(RMI), Computational Modeling of High-Field MR Images, Alzheimer's Disease Neuroimaging Initiative, G651483984, Arizona Alzheimer's Disease Core Center

OpenAlex ID: W1973142739

FWCI: 5.965

Cites: 137

Cited by: 85

Related to: 10