This Project will compare healthy aging and senile dementia of the Alzheimer type in a sample aged 80 and older with respect to longitudinal clinical and psychometric performance and neuropathologic data postmortem. Guidelines for the separation of Alzheimer and nonAlzheimer brains on the basis of quantitative neuropathologic markers in the very old will be developed. The extent of overlap in the brains of demented and nondemented very old persons will be examined. In the process we will extend our knowledge about clinical and psychometric performance in a nondemented sample of persons aged 80 and older. We will have studied approximately 400 very old subjects during life and expect to have at least 125 autopsies from this sample at the completion of this proposed Project. About one-third of the brains are expected to come from the nondemented and mildly/very mildly demented (SDAT) and two-thirds from the more severely demented very old subjects.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Program Projects (P01)
Project #
5P01AG003991-17
Application #
6299229
Study Section
Project Start
2000-02-01
Project End
2000-12-31
Budget Start
1998-10-01
Budget End
1999-09-30
Support Year
17
Fiscal Year
2000
Total Cost
$415,174
Indirect Cost
Name
Washington University
Department
Type
DUNS #
062761671
City
Saint Louis
State
MO
Country
United States
Zip Code
63130
Sutphen, Courtney L; McCue, Lena; Herries, Elizabeth M et al. (2018) Longitudinal decreases in multiple cerebrospinal fluid biomarkers of neuronal injury in symptomatic late onset Alzheimer's disease. Alzheimers Dement 14:869-879
Deming, Yuetiva; Dumitrescu, Logan; Barnes, Lisa L et al. (2018) Sex-specific genetic predictors of Alzheimer's disease biomarkers. Acta Neuropathol 136:857-872
Lancour, Daniel; Naj, Adam; Mayeux, Richard et al. (2018) One for all and all for One: Improving replication of genetic studies through network diffusion. PLoS Genet 14:e1007306
Li, Zeran; Del-Aguila, Jorge L; Dube, Umber et al. (2018) Genetic variants associated with Alzheimer's disease confer different cerebral cortex cell-type population structure. Genome Med 10:43
Blaiotta, Claudia; Freund, Patrick; Cardoso, M Jorge et al. (2018) Generative diffeomorphic modelling of large MRI data sets for probabilistic template construction. Neuroimage 166:117-134
Schindler, Suzanne E; Sutphen, Courtney L; Teunissen, Charlotte et al. (2018) Upward drift in cerebrospinal fluid amyloid ? 42 assay values for more than 10 years. Alzheimers Dement 14:62-70
Gabel, Matthew; Gooblar, Jonathan; Roe, Catherine M et al. (2018) Political Ideology, Confidence in Science, and Participation in Alzheimer Disease Research Studies. Alzheimer Dis Assoc Disord 32:179-184
Blue, Elizabeth E; Bis, Joshua C; Dorschner, Michael O et al. (2018) Genetic Variation in Genes Underlying Diverse Dementias May Explain a Small Proportion of Cases in the Alzheimer's Disease Sequencing Project. Dement Geriatr Cogn Disord 45:1-17
Rao, Shuquan; Ghani, Mahdi; Guo, Zhiyun et al. (2018) An APOE-independent cis-eSNP on chromosome 19q13.32 influences tau levels and late-onset Alzheimer's disease risk. Neurobiol Aging 66:178.e1-178.e8
Roe, Catherine M; Babulal, Ganesh M; Mishra, Shruti et al. (2018) Tau and Amyloid Positron Emission Tomography Imaging Predict Driving Performance Among Older Adults with and without Preclinical Alzheimer's Disease. J Alzheimers Dis 61:509-513

Showing the most recent 10 out of 911 publications