INTRODUCTION: The Introduction portion of this proposal provides a general overview of the entire proj ect including Aims, Background, Preliminary results, and our Methodological approach. Our overall strategy to achieving the goals of the Alzheimer's Disease Neuroimaging Initiative (ADNI) are described, as well as a specific plan for implementation including governance structure, deliverables and timelines. ADMINISTRATIVE CORE: The Administrative Core, is directed by Dr. Michael Weiner, PI of the entire ADNI application, based at UCSF. This Core will be responsible for overseeing all aspects of the entire ADNI including the monitoring all financial and budetary aspects of the project. INFORMATICS CORE: The Informatics Core (IC), based at the Laboratory ofNeuroimaging (LONI) at UCLA will be directed by Dr. Arthur Toga. The IC will be responsible for receving, archiving, and displaying all MRI and PET data including all raw and processed data. All of this data will be available to ADNI investigators, and to the general public within weeks-months after receipt. The IC also describes a number of informatics and image processing and image display tools which will be used by the ADNI. Finally, the IC describes mechanisms by which clinical and cognitive data, stored at the UCSD ADCS group will be linked to the image data at LONI. This will facilitate queries and analyses which utilize clinical, cognitive, and imaging data. All raw and processed image data, as well as all clinical and biomarker data, will rapidly be made avialable on public websites. BIOSTATISTICS CORE: The Biostatistics Core (BC) will be directed by Dr. Laurel Beckett at UC Davis, and will consist of statisticans at UCSD and UCSF as well. The BC will implement mechanisms for data monitoring as data is acquired, to identify outliers and errrors. In addition, the BC describes a statistical approach to analyze data acquired by the ADNI, in order to test the apriori hypotheses described in the proposal, and presents a power analysis to justify the proposed sample size.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Project--Cooperative Agreements (U01)
Project #
3U01AG024904-04S1
Application #
7596019
Study Section
Special Emphasis Panel (ZAG1-ZIJ-4 (M6))
Program Officer
Buckholtz, Neil
Project Start
2004-09-30
Project End
2009-08-31
Budget Start
2008-04-15
Budget End
2008-08-31
Support Year
4
Fiscal Year
2008
Total Cost
$2,000,000
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