The CCB has a responsibility to disseminate information about the product of its efforts. The objectives are to inform others of our activities, attract additional collaborations and interest scientists with similar research to share their findings and algorithms. Thus, the dissemination of information about us must occur at all levels and include contact with individuals as well as institutions. We believe the best way to do this is to produce high quality, peer reviewed publications, describing carefully conducted research and the results of those experiments. Nevertheless, there are many other venues that are appropriate to disseminate information about our core research and the opportunities for collaboration and training. First, we plan on establishing and expanding our workshop and symposia activities as a vehicle for formal dissemination. Second, will establish curricula and materials as part of our educational mission and adapt them for wider distribution out side this university. Third, we will commit to developing additional overview publication materials in the form of books, special issues in high profile journals and review articles highlighting our activities and developments. Fourth, we will create unique materials that not only inform and educate but also illustrate and engage the reader/viewer. Our research includes significant efforts in scientific visualization and we will strive to adapt these for compelling presentations specifically for immersive environments (see Resources and Environments). Fifth, we will extend our database efforts not only as a tool for doing research with large collections of data but as a vehicle for disseminating our activities. The ability to utilize comprehensive archives of data provides an incentive to learn more about the computational biology research that helped make it all possible and worthwhile. Sixth, we will extend and enhance our web description of the participating laboratories, investigators and projects. These will include tutorials, materials, simulations and other hands on applications that the user can experience. Deliverables such as algorithms, code and tools will be organized, described and explained here. Finally, we will take advantage of the already considerable media interest in our activities to actively promote the CCB and help disseminate information about its activities to the lay public as well as scientists.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
1U54RR021813-01
Application #
6979158
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
$274,750
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

Showing the most recent 10 out of 309 publications