The convergence of the biomedical revolution and the information technology revolution is a major event in the history of science. The emerging discipline of Computational Biology is a natural result of this convergence. The mathematical and computational sciences lie at the center of this new endeavor, providing the tools and framework for model building and quantitative analysis. The main focus of our proposed center is on the brain, and specifically on neuroimaging. This area has a long tradition of sophisticated mathematical and computational techniques. Nevertheless, new developments in related areas of mathematics and computational science have emerged in recent years, some from related application areas such as Computer Graphics, Computer Vision, and Image Processing, as well as from Computational Mathematics and the Computational Sciences. We are confident that many of these ideas can be applied beneficially to neuroimaging. During our planning grant, we developed a broad range of new, interdisciplinary collaborations and a strong track record of productivity across the continuum of mathematics, computer science, and neuroscience. Pressing problems in brain mapping and neuroimaging present exciting challenges and opportunities for mathematicians and computational scientists. In this Core, we describe some of the mathematical and computational techniques that we believe will be relevant. These include an extensive set of computational and biomedical advances that resulted from two years of collaborative work during our planning grant.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
1U54RR021813-01
Application #
6979153
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
$942,000
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

Showing the most recent 10 out of 309 publications