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 #
5P50AG023501-05
Application #
7596939
Study Section
Special Emphasis Panel (ZAG1)
Project Start
Project End
Budget Start
2008-04-01
Budget End
2009-03-31
Support Year
5
Fiscal Year
2008
Total Cost
$180,512
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

Mok, Sue-Ann; Condello, Carlo; Freilich, Rebecca et al. (2018) Mapping interactions with the chaperone network reveals factors that protect against tau aggregation. Nat Struct Mol Biol 25:384-393
Tan, Chin Hong; Fan, Chun Chieh; Mormino, Elizabeth C et al. (2018) Polygenic hazard score: an enrichment marker for Alzheimer's associated amyloid and tau deposition. Acta Neuropathol 135:85-93
Erkkinen, Michael G; Zúñiga, Raquel Gutiérrez; Pardo, Cristóbal Carnero et al. (2018) Artistic Renaissance in Frontotemporal Dementia. JAMA 319:1304-1306
Sturm, Virginia E; Brown, Jesse A; Hua, Alice Y et al. (2018) Network Architecture Underlying Basal Autonomic Outflow: Evidence from Frontotemporal Dementia. J Neurosci 38:8943-8955
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
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
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
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
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
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

Showing the most recent 10 out of 590 publications