We will relate risk factors for Alzheimer's Disease (AD) and dementia in the Framingham Offspring cohort and to Magnetic Resonance Imaging (MRI) and cognitive performance measures. Prospective epidemiological study of the Original Framingham cohort has been under way for 50 years. Dementia has been studied in this cohort since 1976, with 235 cases identified; 58 percent of these fulfilling criteria for AD. Their children, the Framingham Offspring, have been studied prospectively for 26 years. During this time, extensive risk factor data pertinent to AD and dementia have been collected, including: parental AD, apoE genotype, hypertension, stroke, stroke risk factors, post-menopausal estrogen therapy, nonsteroidal antiinflamatory drugs, education, and cigarette smoking. In short, a wealth of valuable prospectively collected data are available for the Offspring, e.g., 59 are apoE 4/4 homozygotes and 681 are apoE 3/4 heterozygotes. A neuropsychological test battery will be administered to the 3,000 Offspring, replicating the battery administered 22 years ago to their parents at a similar age. Quantitative MRI studies of white matter change, silent stroke and brain atrophy will be related to dementia risk factors and to cognitive performance. We hypothesize that the abnormalities detected by MRI scan and neuropsychological tests will be increased among participants with dementia risk factors. Of particular interest is the exploration of why some apoE4 carriers escape dementia and an examination of the interaction of risk factors with cognitive impairment. We will examine the genetic risk for AD and dementia. DNA has been collected on both the parents and offspring. A high density genome scan has been performed for a sample Framingham families and will soon be completed in the remainder. We will perform genetic linkage analyses for MRI and cognitive performance measures in order to identify regions of the genome containing genes predisposing to AD and dementia.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Project (R01)
Project #
5R01AG016495-02
Application #
6124020
Study Section
Special Emphasis Panel (ZRG4-EDC-2 (02))
Program Officer
Anderson, Dallas
Project Start
1998-12-01
Project End
2003-11-30
Budget Start
1999-12-15
Budget End
2000-11-30
Support Year
2
Fiscal Year
2000
Total Cost
$915,925
Indirect Cost
Name
Boston University
Department
Neurology
Type
Schools of Medicine
DUNS #
604483045
City
Boston
State
MA
Country
United States
Zip Code
02118
Wu, Jianxiao; Ngo, Gia H; Greve, Douglas et al. (2018) Accurate nonlinear mapping between MNI volumetric and FreeSurfer surface coordinate systems. Hum Brain Mapp :
Magnain, Caroline; Augustinack, Jean C; Tirrell, Lee et al. (2018) Colocalization of neurons in optical coherence microscopy and Nissl-stained histology in Brodmann's area 32 and area 21. Brain Struct Funct :
Li, Yi; Barkovich, Matthew J; Karch, Celeste M et al. (2018) Regionally specific TSC1 and TSC2 gene expression in tuberous sclerosis complex. Sci Rep 8:13373
Siless, Viviana; Chang, Ken; Fischl, Bruce et al. (2018) AnatomiCuts: Hierarchical clustering of tractography streamlines based on anatomical similarity. Neuroimage 166:32-45
Polimeni, Jonathan R; Renvall, Ville; Zaretskaya, Natalia et al. (2018) Analysis strategies for high-resolution UHF-fMRI data. Neuroimage 168:296-320
Zaretskaya, Natalia; Fischl, Bruce; Reuter, Martin et al. (2018) Advantages of cortical surface reconstruction using submillimeter 7 T MEMPRAGE. Neuroimage 165:11-26
Wang, Hui; Magnain, Caroline; Wang, Ruopeng et al. (2018) as-PSOCT: Volumetric microscopic imaging of human brain architecture and connectivity. Neuroimage 165:56-68
Nishtala, Arvind; Piers, Ryan J; Himali, Jayandra J et al. (2018) Atrial fibrillation and cognitive decline in the Framingham Heart Study. Heart Rhythm 15:166-172
Kinnunen, Kirsi M; Cash, David M; Poole, Teresa et al. (2018) Presymptomatic atrophy in autosomal dominant Alzheimer's disease: A serial magnetic resonance imaging study. Alzheimers Dement 14:43-53
Greve, Douglas N; Fischl, Bruce (2018) False positive rates in surface-based anatomical analysis. Neuroimage 171:6-14

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