Structural imaging provides a means to visualize change in anatomy associated with cognitive decline (e.g., Project 3 """"""""Attention Profiles in Healthy Aging and Early Stage DAT"""""""") and also candidate surrogate markers for detection of early-stage DAT in combination with other biomarkers (e.g., Project 2 """"""""Antecedent biomarkers of AD in CSF""""""""). The goal of the Core E: Imaging is to collect, store, and disseminate imaging data for the use of the present program project investigations and also to facilitate the development of infrastructure to support future imaging projects. The following Specific Aims will be pursued: 1. Structural imaging data on demented and nondemented participants will be collected, in close coordination with Core B: Clinical, at two-year longitudinal intervals. The structural imaging battery will include (i) multiple acquisitions of high contrast MP-RAGE images, (ii)3D T2 images for assessment of white matter. These images will be used for measurement of cortical and subcortical atrophy and assessment of white matter integrity, (iii)diffusion tensor imaging to assess white matter microstructural integrity, and (iv)T2-SWI images. In addition, functional imaging data on demented and nondemented participants will be collected. The functional imaging data will be BOLD images during rest to assess functional connectivity. 2. Research neuroradiological assessment will be made by board-certified neuroradiologists on all structural image data sets. 3. Structural data sets will be archived in conjunction with Core C: Biostatistics and made available via a web-based interface to investigators to pursue research projects. 4. Quantitative structural assessment will be provided for correlating imaging data with project-specific data including (i) automated estimates of whole- brain atrophy, (ii) manual estimates of hippocampal, entorhinal, frontal, and other cortical volumes, (iii) automated estimates of cortical and subcortical volumes derived from Freesurfer software (Fischl et al., 2002;Fischl et al., 2004;Desikan et al., 2006), and (iv) automated assessment of white matter hyperintensities. Quantitative functional assessment will also be provided for correlating imaging data with project-specific data and will include estimates of the functional connectivity between seed regions such as the hippocampus and the precuneus. 5. Working closely with Core C: Biostatistics and Core A: Administration, data will be managed to integrate the Core's function with the scientific goals of the program project.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Program Projects (P01)
Project #
2P01AG003991-26
Application #
7578736
Study Section
Special Emphasis Panel (ZAG1-ZIJ-4 (O4))
Project Start
2009-05-15
Project End
2013-12-31
Budget Start
2009-05-15
Budget End
2009-12-31
Support Year
26
Fiscal Year
2009
Total Cost
$216,734
Indirect Cost
Name
Washington University
Department
Type
DUNS #
068552207
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