The overall aim of this application is to identify magnetic resonance imaging (MRI) and 1H magnetic resonance spectroscopic (1HMRS) measurements which will aid in prospectively identifying individuals who subsequently develop Alzheimer's Disease (AD). We will study three clearly distinguishable clinical groups: 1) cognitively normal elderly controls, 2) patients with probably AD, and 3) risk for developing AD. Patients and controls will be drawn from the Mayo Alzheimer's Disease Registry (AG06786) and Alzheimer's Disease Center (AG0803).
Aim #1 : We will develop age and gender specific normative values for the MRI/MRS measurements.
Aim #2 : A multivariate model will be developed with the distinction between AD and controls as the dependent variable. Independent variable swill be hippocampal volume, temporal horn volume, brain volume, ventricular volume, 1HMRS metabolic ratios (NAA/Cr, mI/Cr, NAA/mI), leukoariosis volume, the annual percent change in each of the preceding MR variables, age, family history, education, and apolipoprotein E genotype.
Aim #2 will entail testing the hypothesis that each of the preceding variables is significantly associated with the diagnosis of AD.
Aim #3 : Univariate analyses will be performed testing the hypothesis that a significant association exists between crossover of MCI patients to AD and each of the independent variables which were demonstrated to be significant in Specific Aim #2. Crossover is defined as the conversion of a patient from the diagnostic category of MCI to the diagnosis of AD.
Aim #4 : Using only those MRI/MRS, clinical, and laboratory predictor variables which were significant in Aim #3, we will develop a multivariate mathematical model for predicting crossover of MCI patients to AD. This will allow us to test the hypothesis that each MRI/MRS variables has power to predict crossover which is independent of an additive to other predictor variables.
Aim #5 : Decline in cognition will be modeled as a function of the MRI/MRS, clinical, and laboratory variables listed in Aim #2 for the controls and MCI patients. We will test the hypothesis that specific MR measures are associated with decline in specific measures of cognition.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Project (R01)
Project #
5R01AG011378-08
Application #
6167879
Study Section
Neurology A Study Section (NEUA)
Program Officer
Buckholtz, Neil
Project Start
1993-06-01
Project End
2003-05-31
Budget Start
2000-06-01
Budget End
2001-05-31
Support Year
8
Fiscal Year
2000
Total Cost
$274,098
Indirect Cost
Name
Mayo Clinic, Rochester
Department
Type
DUNS #
City
Rochester
State
MN
Country
United States
Zip Code
55905
Utianski, R L; Whitwell, J L; Schwarz, C G et al. (2018) Tau uptake in agrammatic primary progressive aphasia with and without apraxia of speech. Eur J Neurol 25:1352-1357
Vassilaki, Maria; Aakre, Jeremiah A; Syrjanen, Jeremy A et al. (2018) Mediterranean Diet, Its Components, and Amyloid Imaging Biomarkers. J Alzheimers Dis 64:281-290
Whitwell, Jennifer L; Graff-Radford, Jonathan; Tosakulwong, Nirubol et al. (2018) Imaging correlations of tau, amyloid, metabolism, and atrophy in typical and atypical Alzheimer's disease. Alzheimers Dement 14:1005-1014
Jack Jr, Clifford R; Bennett, David A; Blennow, Kaj et al. (2018) NIA-AA Research Framework: Toward a biological definition of Alzheimer's disease. Alzheimers Dement 14:535-562
Mielke, Michelle M; Hagen, Clinton E; Xu, Jing et al. (2018) Plasma phospho-tau181 increases with Alzheimer's disease clinical severity and is associated with tau- and amyloid-positron emission tomography. Alzheimers Dement 14:989-997
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
Ali, F; Whitwell, J L; Martin, P R et al. (2018) [18F] AV-1451 uptake in corticobasal syndrome: the influence of beta-amyloid and clinical presentation. J Neurol 265:1079-1088
Johnson, Derek R; Hunt, Christopher H; Nathan, Mark A et al. (2018) Pittsburgh compound B (PiB) PET imaging of meningioma and other intracranial tumors. J Neurooncol 136:373-378
Wennberg, Alexandra M V; Hagen, Clinton E; Edwards, Kelly et al. (2018) Association of antidiabetic medication use, cognitive decline, and risk of cognitive impairment in older people with type 2 diabetes: Results from the population-based Mayo Clinic Study of Aging. Int J Geriatr Psychiatry 33:1114-1120
Jack Jr, Clifford R; Wiste, Heather J; Schwarz, Christopher G et al. (2018) Longitudinal tau PET in ageing and Alzheimer's disease. Brain 141:1517-1528

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