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.
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.
|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|
|Sawda, Christine; Moussa, Charbel; Turner, R Scott (2017) Resveratrol for Alzheimer's disease. Ann N Y Acad Sci 1403:142-149|
|Buckley, R F; Sparks, K P; Papp, K V et al. (2017) Computerized Cognitive Testing for Use in Clinical Trials: A Comparison of the NIH Toolbox and Cogstate C3 Batteries. J Prev Alzheimers Dis 4:3-11|
|Raman, Mekala R; Tosakulwong, Nirubol; Zuk, Samantha M et al. (2017) Influence of preeclampsia and late-life hypertension on MRI measures of cortical atrophy. J Hypertens 35:2479-2485|
|Respondek, Gesine; Kurz, Carolin; Arzberger, Thomas et al. (2017) Which ante mortem clinical features predict progressive supranuclear palsy pathology? Mov Disord 32:995-1005|
|Rentz, Dorene M; Mormino, Elizabeth C; Papp, Kathryn V et al. (2017) Cognitive resilience in clinical and preclinical Alzheimer's disease: the Association of Amyloid and Tau Burden on cognitive performance. Brain Imaging Behav 11:383-390|
|Tarrant, Sarah D; Bardach, Shoshana H; Bates, Kendra et al. (2017) The Effectiveness of Small-group Community-based Information Sessions on Clinical Trial Recruitment for Secondary Prevention of Alzheimer's Disease. Alzheimer Dis Assoc Disord 31:141-145|
|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|
Showing the most recent 10 out of 490 publications