Work

Optimizing power to track brain degeneration in Alzheimer's disease and mild cognitive impairment with tensor-based morphometry: An ADNI study of 515 subjects

Year: 2009

Type: article

Source: NeuroImage

DOI: 10.1016/j.neuroimage.2009.07.011

Authors: Xue Hua, Suh Lee, Igor Yanovsky, Alex D. Leow, Yi-Yu Chou, April J. Ho, Boris Gutman, 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: Foundation for the National Institutes of Health, Pfizer, GlaxoSmithKline, Alzheimer's Disease Neuroimaging Initiative, National Institutes of Health, National Institute on Aging, National Institute of Biomedical Imaging and Bioengineering, U.S. National Library of Medicine, National Center for Research Resources

Awards: G104586243, G130320643, G1495208018, G1557667123, G1757829149, G1909487776, G2627450486, Novel PDEs for Cortical Mapping and Analysis in Disease, G3632542342, G3642348494, G4163194457, Alzheimer's Disease Neuroimaging Initiative, G6644087359, Arizona Alzheimer's Disease Core Center, G9000039018

OpenAlex ID: W2063859734

FWCI: 11.62

Cites: 136

Cited by: 146

Related to: 10