Early structural and functional changes in the brains of individuals at risk for developing dementia of the Alzheimer type (DAT) are not well understood. Typically a diagnosis of DAT is made using neuropsychological performance testing and clinical evaluation. Previous work by our group and others has identified a preclinical phase of DAT that is associated with a constellation of changes in biomarkers including decreased cerebral spinal fluid (CSF) Abeta42 (AP42) levels, increased fibrillar amyloid deposits in the brain as detected by PET (using Pittsburgh B compound (PIB)), and increased atrophy, particularly within the hippocampus. An interaction exists between these biomarkers and risk factors for DAT such as family history and genotype (ie., apolipoprotein E (APOE). The exact sequence of preclinical events, and their effects on neuronal dysfunction that leads to DAT, remain unclear. Recent advancements in MR imaging could provide unique information in this regard. Specifically three techniques- resting state functional connectivity MRI (fcMRI), diffusion tensor imaging (DTI), and arterial spin labeling (ASL) perfusion imaging, could provide sensitive measures of neuronal function (fcMRI), cerebral blood flow (ASL) and white matter integrity (DTI). Repeated longitudinal measures using these neuroimaging techniques could add new information concerning the temporal course associated with the very earliest changes in brain function associated with DAT. This project has 3 aims:
Aim 1 : Changes in neuronal structure using fcMRI, ASL and DTI in a cross-sectional analysis will be correlated with age, APOE genotype, and biochemical and behavioral biomarkers.
Aim 2. Subjects followed longitudinally with repeat fcMRI, ASL, and DTI will provide a temporal profile of the sequence of changes in neuroimaging biomarkers.
Aim 3 : Associate the rates of change over time in fcMRI, resting cerebral blood flow, and radial diffusivity in DTI measures with cognitive decline (Clinical Core), changes in cortical amyloid load as assessed by PIB (Project 1), changes in CSF biomarkers (Project 2), and neuropsychological measures (Project 3).

Public Health Relevance

Successful completion of the proposed research will allow for the unique correlation between structural and functional brain imaging measures with multiple biochemical (CSF and PET PIB) and behavioral markers. These should provide a more complete understanding of the sequence of pathological changes that culminate in DAT. In addition, the identification of early biomarkers could be used to test the efficacy of novel treatment alternatives.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Program Projects (P01)
Project #
5P01AG026276-09
Application #
8732596
Study Section
Special Emphasis Panel (ZAG1-ZIJ-4)
Project Start
Project End
Budget Start
2014-06-01
Budget End
2015-05-31
Support Year
9
Fiscal Year
2014
Total Cost
$400,389
Indirect Cost
$136,975
Name
Washington University
Department
Type
DUNS #
068552207
City
Saint Louis
State
MO
Country
United States
Zip Code
63130
Roe, Catherine M; Barco, Peggy P; Head, Denise M et al. (2017) Amyloid Imaging, Cerebrospinal Fluid Biomarkers Predict Driving Performance Among Cognitively Normal Individuals. Alzheimer Dis Assoc Disord 31:69-72
Lewczuk, Piotr; Matzen, Anja; Blennow, Kaj et al. (2017) Cerebrospinal Fluid A?42/40 Corresponds Better than A?42 to Amyloid PET in Alzheimer's Disease. J Alzheimers Dis 55:813-822
Millar, Peter R; Balota, David A; Maddox, Geoffrey B et al. (2017) Process Dissociation Analyses of Memory Changes in Healthy Aging, Preclinical, and Very Mild Alzheimer Disease: Evidence for Isolated Recollection Deficits. Neuropsychology :
Schindler, Suzanne E; Jasielec, Mateusz S; Weng, Hua et al. (2017) Neuropsychological measures that detect early impairment and decline in preclinical Alzheimer disease. Neurobiol Aging 56:25-32
Zhao, Yue; Raichle, Marcus E; Wen, Jie et al. (2017) In vivo detection of microstructural correlates of brain pathology in preclinical and early Alzheimer Disease with magnetic resonance imaging. Neuroimage 148:296-304
Su, Yi; Vlassenko, Andrei G; Couture, Lars E et al. (2017) Quantitative hemodynamic PET imaging using image-derived arterial input function and a PET/MR hybrid scanner. J Cereb Blood Flow Metab 37:1435-1446
Deming, Yuetiva; Li, Zeran; Kapoor, Manav et al. (2017) Genome-wide association study identifies four novel loci associated with Alzheimer's endophenotypes and disease modifiers. Acta Neuropathol 133:839-856
Head, Denise; Allison, Samantha; Lucena, Nathaniel et al. (2017) Latent structure of cognitive performance in the adult children study. J Clin Exp Neuropsychol 39:621-635
Day, Gregory S; Lim, Tae Sung; Hassenstab, Jason et al. (2017) Differentiating cognitive impairment due to corticobasal degeneration and Alzheimer disease. Neurology 88:1273-1281
Monsell, Sarah E; Mock, Charles; Fardo, David W et al. (2017) Genetic Comparison of Symptomatic and Asymptomatic Persons With Alzheimer Disease Neuropathology. Alzheimer Dis Assoc Disord 31:232-238

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