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Issue 1097 coverImaging and the Aging Brain Volume 1097 published February 2007
Ann. N.Y. Acad. Sci. 1097: 94–113 (2007). doi: 10.1196/annals.1379.011
Copyright © 2007 by the New York Academy of Sciences
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Articles by REIMAN, E. M
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Articles by REIMAN, E. M

Part II. In Vivo Imaging of Human Aging and the Transition to Cognitive Impairment

Linking Brain Imaging and Genomics in the Study of Alzheimer's Disease and Aging

ERIC M REIMANa

a Banner Alzheimer's Institute, the Neurogenomics Division at the Translational Genomics Research Institute, the Department of Psychiatry at the University of Arizona, and the Arizona Alzheimer's Consortium, Phoenix, Arizona, USA

Key Words: positron emission tomography • magnetic resonance imaging • apolipoprotein E

Address for correspondence: Eric M. Reiman, M.D., Banner Alzheimer's Institute, 901 East Willetta Street, Phoenix, Arizona 85006. Voice: 602-239-6999; fax: 602-239-6253.  Eric.Reiman{at}bannerhealth.com

My colleagues and I have been using positron emission tomography (PET) and magnetic resonance imaging (MRI) to detect and track the brain changes associated with Alzheimer's disease (AD) and normal brain aging in cognitively normal persons with two copies, one copy, and no copies of the apolipoprotein E (APOE) {varepsilon}4 allele, a common AD susceptibility gene. In this review article, I consider how brain imaging techniques could be used to evaluate putative AD prevention therapies in cognitively normal APOE {varepsilon}4 carriers and putative age-modifying therapies in cognitively normal APOE {varepsilon}4 noncarriers, how they could help investigate the individual and aggregate effects of putative AD risk modifiers, and how they could help guide the investigation of a molecular mechanism associated with AD vulnerability and normal neurological aging. I suggest how high-resolution genome-wide genetic and transcriptomic studies could further help in the scientific understanding of AD, aging, and other common and genetically complex phenotypes, such as variation in normal human memory performance, and in the discovery and evaluation of promising treatments for these phenotypes. Finally, I illustrate the push–pull relationship between brain imaging, genomics research, and other neuroscientific research in the study of AD and aging.






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