The Clinical Core operates as the unit of the Oregon Alzheimer's Disease Center (OADC) with responsibility for identification, recruitment, characterization, and follow-up of populations of well-characterized subjects for clinical research. In keeping with the OADC focus, the Clinical Core is organized to optimize research, leading to better defining normal aging and the transitions to mild cognitive impairment (MCI) and early dementia. In order to fulfill this mission, the Clinical Core completes systematic assessments resulting in standardized diagnoses of the research cohorts, which are then entered into the relational database of the OADC. Many types of data are collected in order to be responsive to current and anticipated needs of the research community: clinical histories, neurological examinations, MRI brain images, neuropsychological and behavioral assessments, and laboratory data. The Clinical Core works closely with the other cores of the Center to ensure tissue donations (Neuropathology Core), characterization of biomarkers and genetic associations (Biomarkers and Genetics Core) and smooth transfer, entry, storage and retrieval for analysis of the data (Data Management and Statistics Core). The Clinical Core faculty acts as an important knowledge resource, participating in Education and Information Core educational activities and programs. The Clinical Core is dedicated to on-going evaluation of its identified cohorts and to ensuring that subjects are not lost to follow-up. Several groups form a particular focus of the Clinical Core: 1) early Alzheimer's disease and related dementias;2) non-cognitively impaired or MCI elderly at high risk for developing dementia, emphasizing the oldest old;and 3) subjects reflecting social and racial diversity (African American and isolated rural populations) through the Satellite program. These subject groups and the research resources they create are used for a wide range of studies, including the natural history of aging without cognitive impairment, detection of cognitive decline with unobtrusive in-home monitoring technologies, the genetics of incipient dementia, biomarkers of underlying disease, and novel treatment or prevention regimens for cognitive decline. Implicit in this core is a fundamental commitment to research collaboration both within our local pool of talented investigators, as well as with our colleagues among the larger community of scientists at other ADC's and other relevant research institutions.

Public Health Relevance

The OADC Clinical Core provides the key research faculty, staff, and subject volunteers for the complete characterization of subjects involved in research focused on advancing the clinical science of detection, diagnosis and treatment of early cognitive decline. This ready clinical resource and infrastructure are intended to facilitate research in a manner that is widely shared, collaborative and responsive to the rapid development of knowledge about early dementia or the years before symptoms fully develop.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Center Core Grants (P30)
Project #
5P30AG008017-22
Application #
8455306
Study Section
Special Emphasis Panel (ZAG1-ZIJ-4)
Project Start
1997-01-01
Project End
2015-03-31
Budget Start
2011-04-01
Budget End
2012-03-31
Support Year
22
Fiscal Year
2011
Total Cost
$114,248
Indirect Cost
Name
Oregon Health and Science University
Department
Type
DUNS #
096997515
City
Portland
State
OR
Country
United States
Zip Code
97239
Boespflug, Erin L; Schwartz, Daniel L; Lahna, David et al. (2018) MR Imaging-based Multimodal Autoidentification of Perivascular Spaces (mMAPS): Automated Morphologic Segmentation of Enlarged Perivascular Spaces at Clinical Field Strength. Radiology 286:632-642
Mejia Maza, Alan; Carmen-Orozco, Rogger P; Carter, Emma S et al. (2018) Axonal swellings and spheroids: a new insight into the pathology of neurocysticercosis. Brain Pathol :
Kaye, Jeffrey; Reynolds, Christina; Bowman, Molly et al. (2018) Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data. J Vis Exp :
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
Zhou, Zilu; Wang, Weixin; Wang, Li-San et al. (2018) Integrative DNA copy number detection and genotyping from sequencing and array-based platforms. Bioinformatics 34:2349-2355
Burke, Shanna L; Hu, Tianyan; Fava, Nicole M et al. (2018) Sex differences in the development of mild cognitive impairment and probable Alzheimer's disease as predicted by hippocampal volume or white matter hyperintensities. J Women Aging :1-25
Wang, Qi; Guo, Lei; Thompson, Paul M et al. (2018) The Added Value of Diffusion-Weighted MRI-Derived Structural Connectome in Evaluating Mild Cognitive Impairment: A Multi-Cohort Validation1. J Alzheimers Dis 64:149-169
Teipel, Stefan; König, Alexandra; Hoey, Jesse et al. (2018) Use of nonintrusive sensor-based information and communication technology for real-world evidence for clinical trials in dementia. Alzheimers Dement 14:1216-1231
Wang, Tingyan; Qiu, Robin G; Yu, Ming (2018) Predictive Modeling of the Progression of Alzheimer's Disease with Recurrent Neural Networks. Sci Rep 8:9161
Agogo, George O; Ramsey, Christine M; Gnjidic, Danijela et al. (2018) Longitudinal associations between different dementia diagnoses and medication use jointly accounting for dropout. Int Psychogeriatr 30:1477-1487

Showing the most recent 10 out of 482 publications