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 #
5P01AG003991-28
Application #
8215303
Study Section
Special Emphasis Panel (ZAG1)
Project Start
Project End
Budget Start
2011-01-01
Budget End
2011-12-31
Support Year
28
Fiscal Year
2011
Total Cost
$144,048
Indirect Cost
Name
Washington University
Department
Type
DUNS #
068552207
City
Saint Louis
State
MO
Country
United States
Zip Code
63130
Maxwell, Taylor J; Corcoran, Chris; Del-Aguila, Jorge L et al. (2018) Genome-wide association study for variants that modulate relationships between cerebrospinal fluid amyloid-beta 42, tau, and p-tau levels. Alzheimers Res Ther 10:86
Cruchaga, Carlos; Del-Aguila, Jorge L; Saef, Benjamin et al. (2018) Polygenic risk score of sporadic late-onset Alzheimer's disease reveals a shared architecture with the familial and early-onset forms. Alzheimers Dement 14:205-214
Brainstorm Consortium (see original citation for additional authors) (2018) Analysis of shared heritability in common disorders of the brain. Science 360:
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
Ibanez, Laura; Dube, Umber; Davis, Albert A et al. (2018) Pleiotropic Effects of Variants in Dementia Genes in Parkinson Disease. Front Neurosci 12:230
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
Broce, Iris; Karch, Celeste M; Wen, Natalie et al. (2018) Correction: Immune-related genetic enrichment in frontotemporal dementia: An analysis of genome-wide association studies. PLoS Med 15:e1002504
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 :
Liao, Fan; Li, Aimin; Xiong, Monica et al. (2018) Targeting of nonlipidated, aggregated apoE with antibodies inhibits amyloid accumulation. J Clin Invest 128:2144-2155
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

Showing the most recent 10 out of 911 publications