The theme of this ongoing R01 project is that risk factors for Alzheimer's disease (AD) are associated with presymptomatic changes in brain function that can be detected well in advance of symptom onset. Previously we studied an AD risk cohort known as the Wisconsin Registry for Alzheimer's Prevention (WRAP) and have shown functional MRI (fMRI) associated changes due to family history of AD and apolipoprotein E genotype. In this project we will investigate associations that may shed light on explanatory mechanisms of our previously observed findings by measuring amyloid burden using [C11]PiB, regional cerebral metabolic rate of glucose (rCMRglu) using [F18]fluoro-deoxyglucose (FDG) positron emission tomography (PET), neural function, rate of atrophy and ischemic lesion burden using MRI. Our prior study had a cross-sectional design;thus, a second major goal is to investigate the longitudinal course of brain change in a group of at risk subjects who were cognitively normal at baseline;some are now declining toward MCI. This proposed ongoing project represents a unique opportunity to comprehensively follow high-risk patients from cognitively normal to pre-MCI, and eventually to MCI and AD. Our studies are centered around three Specific Aims: A) to examine potential mechanisms (by way of association) of the BOLD risk effect we have observed in the prior funding period;B) To investigate longitudinal presymptomatic evolution of AD related brain changes and cognitive decline in people who are at high risk for AD, and determine whether PiB predicts decline in people at risk;C) Examine the direct relationship between brain changes and the best available known biomarkers consisting of CSF A242, t-tau and p-tau181. We will study 250 subjects longitudinally and use integrated path and regression analyses to accomplish these cross-sectional and longitudinal aims.

Public Health Relevance

By the time a patient exhibits symptomatic dementia, devastating neural loss has already occurred, and the time window for most effective intervention already past. If a preclinical signal can be reliably observed and is predictive of cognitive decline, this will greatly strengthen the rationale for earlier intervention rather than waiting for symptomatic AD to present itself.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Project (R01)
Project #
5R01AG021155-10
Application #
8643555
Study Section
Special Emphasis Panel (ZRG1-BDCN-N (02))
Program Officer
Hsiao, John
Project Start
2002-07-01
Project End
2015-02-28
Budget Start
2014-03-01
Budget End
2015-02-28
Support Year
10
Fiscal Year
2014
Total Cost
$520,255
Indirect Cost
$169,915
Name
University of Wisconsin Madison
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
161202122
City
Madison
State
WI
Country
United States
Zip Code
53715
Nicholas, Christopher R; Okonkwo, Ozioma C; Bendlin, Barbara B et al. (2015) Posteromedial hyperactivation during episodic recognition among people with memory decline: findings from the WRAP study. Brain Imaging Behav 9:690-702
Willette, Auriel A; Johnson, Sterling C; Birdsill, Alex C et al. (2015) Insulin resistance predicts brain amyloid deposition in late middle-aged adults. Alzheimers Dement 11:504-510.e1
Okonkwo, Ozioma C; Oh, Jennifer M; Koscik, Rebecca et al. (2014) Amyloid burden, neuronal function, and cognitive decline in middle-aged adults at risk for Alzheimer's disease. J Int Neuropsychol Soc 20:422-33
Johnson, Sterling C; Christian, Bradley T; Okonkwo, Ozioma C et al. (2014) Amyloid burden and neural function in people at risk for Alzheimer's Disease. Neurobiol Aging 35:576-84
Okonkwo, Ozioma C; Schultz, Stephanie A; Oh, Jennifer M et al. (2014) Physical activity attenuates age-related biomarker alterations in preclinical AD. Neurology 83:1753-60
Kim, Won Hwa; Singh, Vikas; Chung, Moo K et al. (2014) Multi-resolutional shape features via non-Euclidean wavelets: applications to statistical analysis of cortical thickness. Neuroimage 93 Pt 1:107-23
Ithapu, Vamsi; Singh, Vikas; Lindner, Christopher et al. (2014) Extracting and summarizing white matter hyperintensities using supervised segmentation methods in Alzheimer's disease risk and aging studies. Hum Brain Mapp 35:4219-35
Ly, Martina; Canu, Elisa; Xu, Guofan et al. (2014) Midlife measurements of white matter microstructure predict subsequent regional white matter atrophy in healthy adults. Hum Brain Mapp 35:2044-54
Birdsill, Alex C; Koscik, Rebecca L; Jonaitis, Erin M et al. (2014) Regional white matter hyperintensities: aging, Alzheimer's disease risk, and cognitive function. Neurobiol Aging 35:769-76
Kim, Hyunwoo J; Adluru, Nagesh; Bendlin, Barbara B et al. (2014) Canonical Correlation Analysis on Riemannian Manifolds and Its Applications. Comput Vis ECCV 8690:251-267

Showing the most recent 10 out of 42 publications