Accurate measurement of brain changes in longitudinal MRI scans using tensor-based morphometry
Year: 2011
Type: article
Source: NeuroImage
Institutions: University of California, Los Angeles, University of Illinois Chicago, Mayo Clinic, University of California, San Francisco, University of California San Francisco Medical Center, University of Arizona, Banner - University Medical Center Phoenix, Banner Alzheimer’s Institute, Arizona State University, Translational Genomics Research Institute, Arizona Alzheimer’s Consortium
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: green
Funders: Foundation for the National Institutes of Health, Dana Foundation, Abbott Laboratories, Bristol-Myers Squibb, GlaxoSmithKline, Novartis, Wyeth, F. Hoffmann-La Roche, Schering-Plough, Northern California Institute for Research and Education, Elan, Eisai, Innogenetics, National Institutes of Health, U.S. Food and Drug Administration, Genentech, Johnson and Johnson, GE Healthcare, National Institute on Aging, National Institute of Biomedical Imaging and Bioengineering, Eunice Kennedy Shriver National Institute of Child Health and Human Development
Awards: G104586243, UC Davis Alzheimer's Disease Core Center, Genetic influences on the brain: A twin imaging study, HARDI Mapping of Disease Effects on the Brain, "MR Morphometrics and Cognitive Decline Rate in Large-Scale Aging Studies", Predictors of Alheimers Disease in Mild Cognitive Impairment, A Multidimensional Alzheimer's Disease Brain Atlas, Computational Modeling of High-Field MR Images, Alzheimer's Disease Neuroimaging Initiative, Arizona Alzheimer's Disease Core Center, Alzheimer's Disease Cooperative Study
OpenAlex ID: W1982361270