Data Management and Statistical Core? The Data Management and Statistical Core is aligned to support the overall specific aims of the OADC's 5 overarching aims: 1) catalyze and sustain innovative research and discovery in AD and related disorders through an organizational infrastructure supporting a rich collaborative environment; 2) focus resources toward specific areas of emphasis: preclinical dementia and activity of disease emphasizing the oldest old; markers of meaningful change captured through studies of peripheral biomarkers, neuroimaging and continuous in-home behavioral monitoring; neuropathology of brain aging and late life dementia; novel testing of novel treatments; and improving education and knowledge about dementia; 3) provide materials to support the science through well-characterized research participants, biological specimens, brain tissue, data provision and analytics; 4) contribute to the national research commons relevant to AD and related disorders; and 5) provide venues and mechanisms for education and training of new scientists, as well as educating and informing key stakeholders. Fostering research directed toward the presymptomatic to early MCI spectrum, risk factors of dementia among the oldest old and novel treatments, the OADC's Data Management and Statistical Core supports an array of distinct investigations ranging from statistical modeling of longitudinal biomarker data to real-time change detection through automated in-home activity sensor assessments. This research is optimally conducted as team science across multiple units, centers and departments including the biomedical engineering and medical informatics departments. In this exceptionally collaborative and interactive environment, the OADC DMSC is required more than ever to ensure the integrity of the data coming from multiple sources and to provide prompt distribution of customized data files as well as statistically thoughtful and appropriate analyses and consultations for a wide range of researchers. Within this context and in response to the RFA, the DMSC's Specific Aims are to: 1. Develop and maintain a functional longitudinal research database and share the data 2. Collaborate with the National Alzheimer's Coordinating Center (NACC) and related centers 3. Provide biostatistical analyses and consultation 4. Provide an enriched environment that increases statistical knowledge for early-stage investigators, trainees and OADC affiliates.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Center Core Grants (P30)
Project #
5P30AG008017-30
Application #
9706081
Study Section
Special Emphasis Panel (ZAG1)
Project Start
Project End
Budget Start
2019-04-01
Budget End
2020-03-31
Support Year
30
Fiscal Year
2019
Total Cost
Indirect Cost
Name
Oregon Health and Science University
Department
Type
DUNS #
096997515
City
Portland
State
OR
Country
United States
Zip Code
97239
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
Brenowitz, Willa D; Han, Fang; Kukull, Walter A et al. (2018) Treated hypothyroidism is associated with cerebrovascular disease but not Alzheimer's disease pathology in older adults. Neurobiol Aging 62:64-71
Seelye, Adriana; Mattek, Nora; Sharma, Nicole et al. (2018) Weekly observations of online survey metadata obtained through home computer use allow for detection of changes in everyday cognition before transition to mild cognitive impairment. Alzheimers Dement 14:187-194
Nguyen, Madeline T; Mattek, Nora; Woltjer, Randy et al. (2018) Pathologies Underlying Longitudinal Cognitive Decline in the Oldest Old. Alzheimer Dis Assoc Disord 32:265-269
Goodman, James R; Adham, Zachariah O; Woltjer, Randall L et al. (2018) Characterization of dural sinus-associated lymphatic vasculature in human Alzheimer's dementia subjects. Brain Behav Immun 73:34-40
Gallagher, Damien; Kiss, Alex; Lanctot, Krista L et al. (2018) Toward Prevention of Mild Cognitive Impairment in Older Adults With Depression: An Observational Study of Potentially Modifiable Risk Factors. J Clin Psychiatry 80:
Lindauer, A; Croff, R; Mincks, K et al. (2018) ""It Took the Stress out of Getting Help"": The STAR-C-Telemedicine Mixed Methods Pilot. Care Wkly 2:7-14
Barnes, Josephine; Bartlett, Jonathan W; Wolk, David A et al. (2018) Disease Course Varies According to Age and Symptom Length in Alzheimer's Disease. J Alzheimers Dis 64:631-642
Simon, Matthew J; Wang, Marie X; Murchison, Charles F et al. (2018) Transcriptional network analysis of human astrocytic endfoot genes reveals region-specific associations with dementia status and tau pathology. Sci Rep 8:12389
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

Showing the most recent 10 out of 482 publications