This competitive renewal application has an overall goal, the creation of an atlas of Alzheimer's disease. The neuroscience and informatics efforts proposed here will result in a tool set and product that is applicable not only to the basic and clinical science of Alzheimer's disease, but to the general problem of mapping the structure and function of any dynamic process in health or disease in whole populations of subjects. Leveraging the accomplishments achieved during the last period of this project and building upon our high-resolution post mortem anatomic framework, the development of atlas construction methodology and the ability to create 3D visual models of anatomy, we will construct the first multimodality probabilistic atlas of the brain representing a diseased population. Including both histologically processed post mortem tissue as well as high- resolution 3D MR images acquired from subjects in various stages of Alzheimer's disease, we will generate the average geometry and 3D variability of the anatomic structures of these populations. Further, we will describe the anatomy as cytoarchitectural features from histology and gyral sulcal features from MRI. There are 7 specific aims in this project. The first will be the collection of a cohort of post mortem specimens from an Alzheimer's disease population. Second, we will create detailed individual probabilistic maps describing the architectural boundaries in AD and matched controls. Third, we will create an MRI probabilistic atlas based upon data that has been previously acquired or will be acquired with funding from other active projects. Fourth, we will develop and refine appropriate registration deformation correction atlasing strategies to create a comprehensive multimodality atlas of Alzheimer's disease. This will enable the development of data at different spatial resolutions and representing different aspects of brain structure and function. Fifth, individualized data analysis utilizing mathematical strategies to compare individual MRI data with the probabilistic atlas will enable access by the neuroscience community to this multimodality atlas. Sixth, we will develop dynamic 4D mapping tools to express the spatial and temporal profiles of degeneration heretofore unavailable in static single time point representations of anatomy or physiology. Seventh, these will be combined into an interactive visualizable and analytic tool set made available to the neuroscientific community.

Agency
National Institute of Health (NIH)
Institute
National Library of Medicine (NLM)
Type
Research Project (R01)
Project #
5R01LM005639-07
Application #
6528395
Study Section
Biomedical Library and Informatics Review Committee (BLR)
Program Officer
Florance, Valerie
Project Start
1995-05-01
Project End
2006-07-31
Budget Start
2002-08-01
Budget End
2003-07-31
Support Year
7
Fiscal Year
2002
Total Cost
$346,782
Indirect Cost
Name
University of California Los Angeles
Department
Type
Other Domestic Higher Education
DUNS #
119132785
City
Los Angeles
State
CA
Country
United States
Zip Code
90095
Daianu, Madelaine; Mezher, Adam; Mendez, Mario F et al. (2016) Disrupted rich club network in behavioral variant frontotemporal dementia and early-onset Alzheimer's disease. Hum Brain Mapp 37:868-83
Daianu, Madelaine; Mendez, Mario F; Baboyan, Vatche G et al. (2016) An advanced white matter tract analysis in frontotemporal dementia and early-onset Alzheimer's disease. Brain Imaging Behav 10:1038-1053
Ching, Christopher R K; Hua, Xue; Hibar, Derrek P et al. (2015) Does MRI scan acceleration affect power to track brain change? Neurobiol Aging 36 Suppl 1:S167-77
Daianu, Madelaine; Jahanshad, Neda; Nir, Talia M et al. (2015) Rich club analysis in the Alzheimer's disease connectome reveals a relatively undisturbed structural core network. Hum Brain Mapp 36:3087-103
Nir, Talia M; Jahanshad, Neda; Toga, Arthur W et al. (2015) Connectivity network measures predict volumetric atrophy in mild cognitive impairment. Neurobiol Aging 36 Suppl 1:S113-20
Nir, Talia M; Villalon-Reina, Julio E; Prasad, Gautam et al. (2015) Diffusion weighted imaging-based maximum density path analysis and classification of Alzheimer's disease. Neurobiol Aging 36 Suppl 1:S132-40
Madsen, Sarah K; Gutman, Boris A; Joshi, Shantanu H et al. (2015) Mapping ventricular expansion onto cortical gray matter in older adults. Neurobiol Aging 36 Suppl 1:S32-41
Gutman, Boris A; Wang, Yalin; Yanovsky, Igor et al. (2015) Empowering imaging biomarkers of Alzheimer's disease. Neurobiol Aging 36 Suppl 1:S69-80
Rossi, R; Lanfredi, M; Pievani, M et al. (2015) Abnormalities in cortical gray matter density in borderline personality disorder. Eur Psychiatry 30:221-7
Hibar, Derrek P; Stein, Jason L; Jahanshad, Neda et al. (2015) Genome-wide interaction analysis reveals replicated epistatic effects on brain structure. Neurobiol Aging 36 Suppl 1:S151-8

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