Alzheimer's disease (AD) is the most common dementing illness of late life, and robs persons of vigorous activity and productivity in their later years. Future drug treatments may be capable of slowing the progression of the disease or even preventing its clinical appearance, and when such treatments become available, the ability to detect the illness in its earliest stages will be needed to take full advantage of them. The overall goal of this project is to test the use of structural magnetic resonance scanning and the tools of computational anatomy to distinguish nondemented subjects at elevated risk for developing dementia of the Alzheimer type (DAT) from age- and gender-matched comparison subjects. The primary strategy for identifying subjects at elevated risk for developing DAT will be having a parent with DAT; allelic status for the apolipoprotein E gene will be a secondary strategy. High resolution magnetic resonance (MR) scans will be collected from all subjects at entry into the study, and for subjects who are recruited during the first two years of the Project, repeat MR scans will be collected after three years.
The specific aims of the project include a comparison of the structural characteristics of the hippocampus, parahippocampal gyrus (including the entorhinal cortex) and cingulate gyrus (anterior and posterior segments) in nondemented subjects with (N = 120) and without (n = 120) a parent with DAT. The total group of subjects will then be resorted according to the number of E4 alleles for apolipoprotein E, and a comparison of subjects with or without one or more E4 alleles will be made. If there are neuroanatomical differences in the groups of subjects with and without one or more E4 alleles, then the impact of the apoE4 allele on the effect of having a parent with DAT will be investigated. In addition, we will determine whether there are correlations between neuroanatomical measures that discriminate between subjects at elevated risk for developing DAT and comparison subjects and other predictive variables assessed by other Projects.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Program Projects (P01)
Project #
1P01AG026276-01
Application #
6989343
Study Section
Special Emphasis Panel (ZAG1-ZIJ-5 (M2))
Project Start
2005-07-01
Project End
2010-06-30
Budget Start
2005-07-01
Budget End
2006-06-30
Support Year
1
Fiscal Year
2005
Total Cost
$139,815
Indirect Cost
Name
Washington University
Department
Type
DUNS #
068552207
City
Saint Louis
State
MO
Country
United States
Zip Code
63130
Schultz, Stephanie A; Gordon, Brian A; Mishra, Shruti et al. (2018) Widespread distribution of tauopathy in preclinical Alzheimer's disease. Neurobiol Aging 72:177-185
Schindler, Suzanne E; Gray, Julia D; Gordon, Brian A et al. (2018) Cerebrospinal fluid biomarkers measured by Elecsys assays compared to amyloid imaging. Alzheimers Dement 14:1460-1469
Javaherian, Kavon; Newman, Brianne M; Weng, Hua et al. (2018) Examining the Complicated Relationship Between Depressive Symptoms and Cognitive Impairment in Preclinical Alzheimer Disease. Alzheimer Dis Assoc Disord :
Weintraub, Sandra; Besser, Lilah; Dodge, Hiroko H et al. (2018) Version 3 of the Alzheimer Disease Centers' Neuropsychological Test Battery in the Uniform Data Set (UDS). Alzheimer Dis Assoc Disord 32:10-17
Jansen, Willemijn J; Ossenkoppele, Rik; Tijms, Betty M et al. (2018) Association of Cerebral Amyloid-? Aggregation With Cognitive Functioning in Persons Without Dementia. JAMA Psychiatry 75:84-95
Lucey, Brendan P; Hicks, Terry J; McLeland, Jennifer S et al. (2018) Effect of sleep on overnight cerebrospinal fluid amyloid ? kinetics. Ann Neurol 83:197-204
Islam, Jyoti; Zhang, Yanqing (2018) Brain MRI analysis for Alzheimer's disease diagnosis using an ensemble system of deep convolutional neural networks. Brain Inform 5:2
Gyurkovics, Mate; Balota, David A; Jackson, Jonathan D (2018) Mind-wandering in healthy aging and early stage Alzheimer's disease. Neuropsychology 32:89-101
Roe, Catherine M; Ances, Beau M; Head, Denise et al. (2018) Incident cognitive impairment: longitudinal changes in molecular, structural and cognitive biomarkers. Brain 141:3233-3248
Ihara, Ryoko; Vincent, Benjamin D; Baxter, Michael R et al. (2018) Relative neuron loss in hippocampal sclerosis of aging and Alzheimer's disease. Ann Neurol 84:741-753

Showing the most recent 10 out of 352 publications