We propose to supplement the Alzheimer's Disease Neuroimaging Initiative (ADNI) study by imaging amyloid plaque burden with positron emission tomography (PET) and Pittsburgh Compound B (PIB) in a subset of ADNI subjects who are scheduled to receive [F-i8]2-fluoro-2-deoxyglucose (FDG) PET scans as part of the funded five year ADNI imaging protocol. Neuropathologically, Alzheimer's disease (AD) is defined by the presence of plaques composed of the amyloid-beta (Ap) protein. This alone makes identification of AD pathology in living subjects an important goal because it could allow refinement of early diagnosis and identification of pre-symptomatic pathology for use as a biomarker. In addition, the optimal development of new anti-amyloid therapies will require a means to monitor brain amyloid load. PIB PET scans will be conducted in 24 control, 48 mild cognitive impairment (MCI), and 24 AD subjects at 16 ADNI PET sites immediately prior to FDG PET scans in subjects enrolled in the ADNI FDG PET imaging protocol. Controls and MCI subjects will be scanned at entry (baseline), 12, 24, and 36 months. AD subjects will be scanned at baseline, 12 and 24 months. These supplementary PIB PET studies will make full use of ADNI resources including administrative support of the ADNI Coordinating Center at UC San Diego as well as of existing MR and PET scanner quality control programs and data storage, management, and retrieval programs. Investigators at the University of Pittsburgh will analyze the PIB PET data using established image-based methods and post the results on the ADNI Laboratory of Neuroimaging (LONI) server for dissemination. The proposed supplemental PIB PET studies will provide unique, yet complementary, functional imaging data of the prevalence and amount of AP plaque binding in these subjects and further extend the objectives, hypotheses, and specific aims of the original ADNI grant.
Specific Aims of the PIB PET Supplement include: i) determine differences in the quantity and regional distribution of PIB retention in control, MCI, and AD subjects and relate these differences to cognitive, glucose metabolic, and structural MR measures in the same subjects collected by ADNI investigators; 2) determine how the quantity and regional distribution of PIB retention changes over time in control, MCI, and AD subjects and relate these changes to cognitive, glucose metabolic, and structural MR change measures determined in the same subjects by ADNI investigators; and 3) correlate PIB retention in whole brain and individual regionsof-interest to blood, urine and CSF biomarkers. ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Project--Cooperative Agreements (U01)
Project #
3U01AG024904-03S3
Application #
7145299
Study Section
National Institute on Aging Initial Review Group (NIA)
Program Officer
Buckholtz, Neil
Project Start
2004-09-30
Project End
2009-08-31
Budget Start
2007-05-01
Budget End
2007-08-31
Support Year
3
Fiscal Year
2007
Total Cost
$985,840
Indirect Cost
Name
Northern California Institute Research & Education
Department
Type
DUNS #
613338789
City
San Francisco
State
CA
Country
United States
Zip Code
94121
Fiford, Cassidy M; Ridgway, Gerard R; Cash, David M et al. (2018) Patterns of progressive atrophy vary with age in Alzheimer's disease patients. Neurobiol Aging 63:22-32
Vogel, Jacob W; Vachon-Presseau, Etienne; Pichet Binette, Alexa et al. (2018) Brain properties predict proximity to symptom onset in sporadic Alzheimer's disease. Brain 141:1871-1883
Wang, Xiaoqian; Chen, Hong; Yan, Jingwen et al. (2018) Quantitative trait loci identification for brain endophenotypes via new additive model with random networks. Bioinformatics 34:i866-i874
Picard, Cynthia; Julien, Cédric; Frappier, Josée et al. (2018) Alterations in cholesterol metabolism-related genes in sporadic Alzheimer's disease. Neurobiol Aging 66:180.e1-180.e9
Dadar, Mahsa; Maranzano, Josefina; Ducharme, Simon et al. (2018) Validation of T1w-based segmentations of white matter hyperintensity volumes in large-scale datasets of aging. Hum Brain Mapp 39:1093-1107
Mahjoub, Ines; Mahjoub, Mohamed Ali; Rekik, Islem et al. (2018) Brain multiplexes reveal morphological connectional biomarkers fingerprinting late brain dementia states. Sci Rep 8:4103
Hadjichrysanthou, Christoforos; McRae-McKee, Kevin; Evans, Stephanie et al. (2018) Potential Factors Associated with Cognitive Improvement of Individuals Diagnosed with Mild Cognitive Impairment or Dementia in Longitudinal Studies. J Alzheimers Dis 66:587-600
Goldstein, Felicia C; Milloy, Aaron; Loring, David W et al. (2018) Incremental Validity of Montreal Cognitive Assessment Index Scores in Mild Cognitive Impairment and Alzheimer Disease. Dement Geriatr Cogn Disord 45:49-55
Falcon, Carles; Tucholka, Alan; Monté-Rubio, Gemma C et al. (2018) Longitudinal structural cerebral changes related to core CSF biomarkers in preclinical Alzheimer's disease: A study of two independent datasets. Neuroimage Clin 19:190-201
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

Showing the most recent 10 out of 1666 publications