This subproject is one of many research subprojects utilizing theresources provided by a Center grant funded by NIH/NCRR. The subproject andinvestigator (PI) may have received primary funding from another NIH source,and thus could be represented in other CRISP entries. The institution listed isfor the Center, which is not necessarily the institution for the investigator.The Administrative Core will provide the organizational management for this program. The objectives of this Core are to; A) facilitate information exchange between projects, faculty, training programs and institutional entities; B) ensure that physical and human resources are utilized to their maximum advantage throughout the program; C) monitors and adjust, as needed, structural and functional aspects of the program (i.e., committee memberships, adding or deleting workshops, etc.); D) establish operational mechanisms for the program such as meetings, budgetary control and programmatic reporting; E) establish outreach mechanisms and commercial relationships and F) coordinate public relations. Appropriate administrative structures are important components to the success of our program. Already, we have tested these structures during the last 15 years of extensive multi-departmental, multi-institutional collaborations. During the last 2 years while funded by out- NPEBC planning grant we refined these systems and tuned them to maximize the cooperative efforts of our computer science, mathematical and biological expertise. The collaborative practices were developed in keeping with the mission and philosophy of a successful multidisciplinary program. Building upon many years of management experience with several multidisplinary programs we will develop an administrative structure that is responsive, efficient and constructive. This Core is organized into the following sections; 1) Progress Report, 2) Committee Structure, 3) Advisory Board, 4) Communications and Monitoring, 5) Scientific Projects Committee, 6) Project Manager, 7) Leadership, 8) Institutional Support and 9) Experimental Subjects and Ethical Oversight.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54RR021813-04
Application #
7622876
Study Section
Special Emphasis Panel (ZRG1-BST-C (55))
Project Start
2007-08-01
Project End
2008-07-31
Budget Start
2007-08-01
Budget End
2008-07-31
Support Year
4
Fiscal Year
2007
Total Cost
$273,420
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