Abstract

The overall long term goal of this Imaging Core is to identify structural, perfusion, and metabolic changes in the brain that predict future cognitive decline and conversion to dementia. The overall approach will be to initially study healthy elders ands age/gender matched patients with well-characterized dementia associated with Alzheimer's disease and Frontotemporal dementia using a newly acquired 4 Tesla BrukedSiemens MRI/MRS scanner, which will be optimized for investigation of neurodegenerative disease. These initial studies will provide imaging characteristics of established dementia. We will also study a group of subjects with MCI-Peterson criteria. In subsequent years we will study increasing numbers of subjects with MCI subtypes and MCI-Peterson who likely represent early stages of AD and FTD and who are expected to ultimately convert to dementia. All subjects will be recruited and evaluated by the Clinical Core.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Specialized Center (P50)
Project #
1P50AG023501-01
Application #
6801362
Study Section
Special Emphasis Panel (ZAG1-ZIJ-7 (J4))
Project Start
2004-04-01
Project End
2009-03-31
Budget Start
2004-04-01
Budget End
2005-03-31
Support Year
1
Fiscal Year
2004
Total Cost
$125,099
Indirect Cost

  Institution

Name
University of California San Francisco
Department
Type
DUNS #
094878337
City
San Francisco
State
CA
Country
United States
Zip Code
94143

  Publications

Bonham, Luke W; Geier, Ethan G; Steele, Natasha Z R et al. (2018) Insulin-Like Growth Factor Binding Protein 2 Is Associated With Biomarkers of Alzheimer's Disease Pathology and Shows Differential Expression in Transgenic Mice. Front Neurosci 12:476
Schneider, Raphael; McKeever, Paul; Kim, TaeHyung et al. (2018) Downregulation of exosomal miR-204-5p and miR-632 as a biomarker for FTD: a GENFI study. J Neurol Neurosurg Psychiatry 89:851-858
Davis, Jeremy J (2018) Performance validity in older adults: Observed versus predicted false positive rates in relation to number of tests administered. J Clin Exp Neuropsychol 40:1013-1021
Ramsey, Christine M; Gnjidic, Danijela; Agogo, George O et al. (2018) Longitudinal patterns of potentially inappropriate medication use following incident dementia diagnosis. Alzheimers Dement (N Y) 4:1-10
Karch, Celeste M; Wen, Natalie; Fan, Chun C et al. (2018) Selective Genetic Overlap Between Amyotrophic Lateral Sclerosis and Diseases of the Frontotemporal Dementia Spectrum. JAMA Neurol 75:860-875
Scheltens, Nienke M E; Tijms, Betty M; Heymans, Martijn W et al. (2018) Prominent Non-Memory Deficits in Alzheimer's Disease Are Associated with Faster Disease Progression. J Alzheimers Dis 65:1029-1039
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
Hadjichrysanthou, Christoforos; McRae-McKee, Kevin; Evans, Stephanie et al. (2018) Potential Factors Associated with Cognitive Improvement of Individuals Diagnosed with Mild Cognitive Impairment or Dementia in Longitudinal Studies. J Alzheimers Dis 66:587-600
Staffaroni, Adam M; Brown, Jesse A; Casaletto, Kaitlin B et al. (2018) The Longitudinal Trajectory of Default Mode Network Connectivity in Healthy Older Adults Varies As a Function of Age and Is Associated with Changes in Episodic Memory and Processing Speed. J Neurosci 38:2809-2817
Hanfelt, John J; Peng, Limin; Goldstein, Felicia C et al. (2018) Latent classes of mild cognitive impairment are associated with clinical outcomes and neuropathology: Analysis of data from the National Alzheimer's Coordinating Center. Neurobiol Dis 117:62-71

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