This core consists of four driving biological projects. They represent the beneficiaries and catalysts of the computational science and computational tools proposed in the Cores 1. They represent a wide army of neuroscience, including modeling the brains of healthy developing children (DBP 1), mapping the degenerative processes of Alzheimer's disease and those at risk (DBP 2), charting the progression of multiple sclerosis in humans and animal models (DBP 3) and relating the genetics and morphology of Schizophrenia (DBP 4). These four projects were carefully chosen to provide not only a wide range of applications with which to test and push the developments of Cores but also because these are critical, exciting scientific problems that cannot be addressed with existing and conventional methodology. Furthermore, the computational science and tools will pull the sophistication of the biological queries by relating previously independent observations into comprehensive, integrative representations. Genotype and phenotype will be related within a computational atlas and changes over time will be modeled multidimensionally. Our DBP's include translational research. There are both animal and human studies. There is cross sectional and longitudinal data. Some data comes from existing databases other data will be acquired. Three of the four are relatively mature efforts where immediate benefits will be realized once the computational science and tools of Cores become available. Preliminary data is provided in each DBP with clear evidence for collaborative enthusiasm. The principal investigator of each DBP already has a strong track record of productivity, a deep understanding of the biological science and considerable knowledge of the computational strategies proposed in our CCB.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
1U54RR021813-01
Application #
6979155
Study Section
Special Emphasis Panel (ZRG1-BST-C (55))
Project Start
2004-09-24
Project End
2005-07-31
Budget Start
2004-09-24
Budget End
2005-07-31
Support Year
1
Fiscal Year
2004
Total Cost
$902,750
Indirect Cost
Name
University of California Los Angeles
Department
Neurology
Type
Schools of Medicine
DUNS #
092530369
City
Los Angeles
State
CA
Country
United States
Zip Code
90095
Dinov, Ivo D; Siegrist, Kyle; Pearl, Dennis K et al. (2016) Probability Distributome: A Web Computational Infrastructure for Exploring the Properties, Interrelations, and Applications of Probability Distributions. Comput Stat 31:559-577
Masters, Michael; Bruner, Emiliano; Queer, Sarah et al. (2015) Analysis of the volumetric relationship among human ocular, orbital and fronto-occipital cortical morphology. J Anat 227:460-73
Chow, N; Hwang, K S; Hurtz, S et al. (2015) Comparing 3T and 1.5T MRI for mapping hippocampal atrophy in the Alzheimer's Disease Neuroimaging Initiative. AJNR Am J Neuroradiol 36:653-60
Moon, Seok Woo; Dinov, Ivo D; Kim, Jaebum et al. (2015) Structural Neuroimaging Genetics Interactions in Alzheimer's Disease. J Alzheimers Dis 48:1051-63
Moon, Seok Woo; Dinov, Ivo D; Hobel, Sam et al. (2015) Structural Brain Changes in Early-Onset Alzheimer's Disease Subjects Using the LONI Pipeline Environment. J Neuroimaging 25:728-37
Hopkins, William D; Meguerditchian, Adrien; Coulon, Olivier et al. (2014) Evolution of the central sulcus morphology in primates. Brain Behav Evol 84:19-30
Li, Junning; Shi, Yonggang; Tran, Giang et al. (2014) Fast local trust region technique for diffusion tensor registration using exact reorientation and regularization. IEEE Trans Med Imaging 33:1005-22
Leung, Kelvin; Cunha, Alexandre; Toga, A W et al. (2014) Developing image processing meta-algorithms with data mining of multiple metrics. Comput Math Methods Med 2014:383465
Van Horn, John Darrell; Toga, Arthur W (2014) Human neuroimaging as a ""Big Data"" science. Brain Imaging Behav 8:323-31
Hong, Jui-Yang; Labus, Jennifer S; Jiang, Zhiguo et al. (2014) Regional neuroplastic brain changes in patients with chronic inflammatory and non-inflammatory visceral pain. PLoS One 9:e84564

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