This is a response to RFA # RFA-AG-09-002. The major goals of the proposal are to: (1) Identify biomarkers that are associated with progression from normal cognitive status to mild cognitive impairment (MCI) or dementia, with a particular focus on the dementia of Alzheimer's disease (AD) - these biomarkers may potentially include measures based on cognitive testing, magnetic resonance imaging (MRI), blood, or cerebrospinal fluid (CSF);(2) Determine which cross-sectional or longitudinal biomarker measures (taken alone or in combination) are the best predictors of progression from normal cognition to varying levels of cognitive dysfunction (i.e., MCI or AD);(3) Create a publicly accessible data base containing the clinical, cognitive, imaging, blood and CSF data - raw imaging data and samples of blood and CSF will also be available to investigators in the field, as appropriate. A team of investigators has been assembled at the study site with substantial experience in the clinical evaluation of older individuals, as well as expertise in the analysis of the biomarkers in question. Several external advisory groups will be assembled in order to provide guidance concerning the analysis of the data (particularly the CSF and blood samples, which are a non-renewable resource). In order to accomplish these goals we will: (1) complete a comprehensive clinical evaluation on as many prior participants in BIOCARD as possible in order to determine their current clinical and cognitive status - this will represent an approximate 10 year follow-up of the cohort;(2) initiate annual, longitudinal, clinical and cognitive evaluations on as many of these individuals as possible in order to complete a 15 year follow-up of the cohort by the end of the funding period;(3) complete analyses of the previously collected MRI scans, CSF samples and blood, using state-of-art techniques;(4) complete analyses of the relationship of the previously collected data to the current status of the subjects;and (5) provide these data to the scientific community through a publicly accessible database.

National Institute of Health (NIH)
National Institute on Aging (NIA)
Research Project--Cooperative Agreements (U01)
Project #
Application #
Study Section
Special Emphasis Panel (ZAG1-ZIJ-7)
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
Johns Hopkins University
United States
Zip Code
Miller, Michael I; Arguillère, Sylvain; Tward, Daniel J et al. (2018) Computational anatomy and diffeomorphometry: A dynamical systems model of neuroanatomy in the soft condensed matter continuum. Wiley Interdiscip Rev Syst Biol Med 10:e1425
Pettigrew, Corinne; Shao, Yi; Zhu, Yuxin et al. (2018) Self-reported Lifestyle Activities in Relation to Longitudinal Cognitive Trajectories. Alzheimer Dis Assoc Disord :
Chiang, Angie C A; Fowler, Stephanie W; Reddy, Rohit et al. (2018) Discrete Pools of Oligomeric Amyloid-? Track with Spatial Learning Deficits in a Mouse Model of Alzheimer Amyloidosis. Am J Pathol 188:739-756
Tward, Daniel J; Sicat, Chelsea S; Brown, Timothy et al. (2017) Entorhinal and transentorhinal atrophy in mild cognitive impairment using longitudinal diffeomorphometry. Alzheimers Dement (Amst) 9:41-50
Tang, Xiaoying; Miller, Michael I; Younes, Laurent (2017) BIOMARKER CHANGE-POINT ESTIMATION WITH RIGHT CENSORING IN LONGITUDINAL STUDIES. Ann Appl Stat 11:1738-1762
Sacktor, Ned; Soldan, Anja; Grega, Maura et al. (2017) The BIOCARD Index: A Summary Measure to Predict Onset of Mild Cognitive Impairment. Alzheimer Dis Assoc Disord 31:114-119
Tward, Daniel; Miller, Michael; Trouve, Alain et al. (2017) Parametric Surface Diffeomorphometry for Low Dimensional Embeddings of Dense Segmentations and Imagery. IEEE Trans Pattern Anal Mach Intell 39:1195-1208
Tang, Xiaoying; Crocetti, Deana; Kutten, Kwame et al. (2015) Segmentation of brain magnetic resonance images based on multi-atlas likelihood fusion: testing using data with a broad range of anatomical and photometric profiles. Front Neurosci 9:61
Speer, Megan E; Soldan, Anja (2015) Cognitive reserve modulates ERPs associated with verbal working memory in healthy younger and older adults. Neurobiol Aging 36:1424-34
Resnick, Susan M; Bilgel, Murat; Moghekar, Abhay et al. (2015) Changes in A? biomarkers and associations with APOE genotype in 2 longitudinal cohorts. Neurobiol Aging 36:2333-9

Showing the most recent 10 out of 29 publications