Quantitative brain imaging biomarkers now play a central role in clinical trials for AD, as they may permit a more direct assessment of the effects of a therapy on brain function, amyloid load, and rate of neurodegeneration. Such information complements clinical and cognitive data points to provide a more complete picture of an intervention's putative disease-modifying effects. Further, clinical brain imaging and central clinical overread may be required for monitoring patient safety during a trial. However, the complexity of imaging data requires ready access to specialized neuroimaging expertise to assist in developing and maintaining state-of-the-art approaches in study design as well as data management, analysis, and sharing. No single institution houses such a wide array of expertise, and the rapid evolution of the field calls for an organizational structure that allows project leaders flexibility in selecting best available design and analysis approaches, while maintaining consistency through centralized data upload and management.

Public Health Relevance

The overarching objective of the imaging core is to provide the infrastructure necessary for collection, management, and analysis of PET and MRI biomarkers in ADCS clinical trials and assist in widely sharing these data upon trial completion.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Program--Cooperative Agreements (U19)
Project #
5U19AG010483-23
Application #
8601650
Study Section
Special Emphasis Panel (ZAG1-ZIJ-7)
Project Start
Project End
Budget Start
2013-12-01
Budget End
2014-11-30
Support Year
23
Fiscal Year
2014
Total Cost
$120,642
Indirect Cost
$28,903
Name
University of California San Diego
Department
Type
DUNS #
804355790
City
La Jolla
State
CA
Country
United States
Zip Code
92093
Besser, Lilah; Kukull, Walter; Knopman, David S et al. (2018) Version 3 of the National Alzheimer's Coordinating Center's Uniform Data Set. Alzheimer Dis Assoc Disord 32:351-358
Jacobs, Heidi I L; Hedden, Trey; Schultz, Aaron P et al. (2018) Structural tract alterations predict downstream tau accumulation in amyloid-positive older individuals. Nat Neurosci 21:424-431
Buckley, Rachel F; Mormino, Elizabeth C; Amariglio, Rebecca E et al. (2018) Sex, amyloid, and APOE ?4 and risk of cognitive decline in preclinical Alzheimer's disease: Findings from three well-characterized cohorts. Alzheimers Dement 14:1193-1203
Langa, Kenneth M; Larson, Eric B; Crimmins, Eileen M et al. (2017) A Comparison of the Prevalence of Dementia in the United States in 2000 and 2012. JAMA Intern Med 177:51-58
Jacobs, Diane M; Ard, M Colin; Salmon, David P et al. (2017) Potential implications of practice effects in Alzheimer's disease prevention trials. Alzheimers Dement (N Y) 3:531-535
Marquié, Marta; Verwer, Eline E; Meltzer, Avery C et al. (2017) Lessons learned about [F-18]-AV-1451 off-target binding from an autopsy-confirmed Parkinson's case. Acta Neuropathol Commun 5:75
Dekhtyar, Maria; Papp, Kathryn V; Buckley, Rachel et al. (2017) Neuroimaging markers associated with maintenance of optimal memory performance in late-life. Neuropsychologia 100:164-170
Schultz, Aaron P; Chhatwal, Jasmeer P; Hedden, Trey et al. (2017) Phases of Hyperconnectivity and Hypoconnectivity in the Default Mode and Salience Networks Track with Amyloid and Tau in Clinically Normal Individuals. J Neurosci 37:4323-4331
Vannini, Patrizia; Hanseeuw, Bernard; Munro, Catherine E et al. (2017) Anosognosia for memory deficits in mild cognitive impairment: Insight into the neural mechanism using functional and molecular imaging. Neuroimage Clin 15:408-414
Donohue, Michael C; Sperling, Reisa A; Petersen, Ronald et al. (2017) Association Between Elevated Brain Amyloid and Subsequent Cognitive Decline Among Cognitively Normal Persons. JAMA 317:2305-2316

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