The role of imaging technologies in dementia research is rapidly expanding. An imperative for noninvasive tools with early diagnostic capability - prior to the development of clinical signs/symptoms of dementia - has resulted from the development of effective forms of pharmacological and nonpharmacological therapy for Alzheimer's disease (AD). Neuroimaging data, especially when combined with clinical, neuropsychological, and genetic information may be uniquely useful for diagnosis and therapeutic monitoring, as well as guiding further drug discovery. The Neuroimaging Core (Core F) will continue to support structural and functional magnetic resonance imaging (MRI) in ADRC participants and provide the infrastructure for developing state-of-the-art MRI and functional MRI (fMRI) in aging and dementia. The Core will further assist in the expansion of the role of positron emission tomography (PET) studies of aging and dementia by focusing on the recent development of Pittsburgh Compound B (PiB), a marker for brain beta-amyloid deposition. The Core has implemented and maintained efficient procedures for acquiring, archiving, and interpreting MRI examinations performed as part of the ADRC patient evaluation. The Neuroimaging Core is accruing similar MRI examinations in healthy elderly comparison subjects, as emphasized by our external advisors, and we have further established a normative database of structural MRI data that is available to ADRC and related investigators. During the next five years, the Neuroimaging Core will continue to develop and distribute technology for acquiring and interpreting structural and functional image data in support of AD research. The Core will advance the overall goals of the Center by supporting and promoting research that increases our understanding of the etiology and pathogenesis of AD and to facilitate new therapies and therapeutic monitoring.

Public Health Relevance

The ability to visualize the brain of a living person is critical for the accurate diagnosis of Alzheimer's disease and related dementias. This Core is responsible for obtaining such images using stae-of-the-art technologies, and for maintaining a library of the images. We will also work with the other scientists at the ADRC to help them develop new ways to analyse these images, which will help them complete their studies of aging and dementia.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Specialized Center (P50)
Project #
5P50AG005133-28
Application #
8440460
Study Section
Special Emphasis Panel (ZAG1-ZIJ-4)
Project Start
1997-05-01
Project End
2015-03-31
Budget Start
2011-04-01
Budget End
2012-03-31
Support Year
28
Fiscal Year
2011
Total Cost
$207,481
Indirect Cost
Name
University of Pittsburgh
Department
Type
DUNS #
004514360
City
Pittsburgh
State
PA
Country
United States
Zip Code
15213
Snitz, Beth E; Wang, Tianxiu; Cloonan, Yona Keich et al. (2018) Risk of progression from subjective cognitive decline to mild cognitive impairment: The role of study setting. Alzheimers Dement 14:734-742
Burke, Shanna L; Maramaldi, Peter; Cadet, Tamara et al. (2018) Decreasing hazards of Alzheimer's disease with the use of antidepressants: mitigating the risk of depression and apolipoprotein E. Int J Geriatr Psychiatry 33:200-211
Fowler, Nicole R; Shaaban, C Elizabeth; Torke, Alexia M et al. (2018) ""I'm Not Sure We Had A Choice"": Decision Quality and The Use of Cardiac Implantable Electronic Devices In Older Adults With Cognitive Impairment. Cardiol Cardiovasc Med 2:10-26
Qian, Winnie; Fischer, Corinne E; Schweizer, Tom A et al. (2018) Association Between Psychosis Phenotype and APOE Genotype on the Clinical Profiles of Alzheimer's Disease. Curr Alzheimer Res 15:187-194
Lin, Ming; Gong, Pinghua; Yang, Tao et al. (2018) Big Data Analytical Approaches to the NACC Dataset: Aiding Preclinical Trial Enrichment. Alzheimer Dis Assoc Disord 32:18-27
Gallagher, Damien; Kiss, Alex; Lanctot, Krista et al. (2018) Depression and Risk of Alzheimer Dementia: A Longitudinal Analysis to Determine Predictors of Increased Risk among Older Adults with Depression. Am J Geriatr Psychiatry 26:819-827
Kirson, Noam Y; Scott Andrews, J; Desai, Urvi et al. (2018) Patient Characteristics and Outcomes Associated with Receiving an Earlier Versus Later Diagnosis of Probable Alzheimer's Disease. J Alzheimers Dis 61:295-307
Karim, Helmet T; Wang, Maxwell; Andreescu, Carmen et al. (2018) Acute trajectories of neural activation predict remission to pharmacotherapy in late-life depression. Neuroimage Clin 19:831-839
Kamboh, M Ilyas (2018) A Brief Synopsis on the Genetics of Alzheimer's Disease. Curr Genet Med Rep 6:133-135
Haaksma, Miriam L; Calderón-Larrañaga, Amaia; Olde Rikkert, Marcel G M et al. (2018) Cognitive and functional progression in Alzheimer disease: A prediction model of latent classes. Int J Geriatr Psychiatry 33:1057-1064

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