The overarching goal of Core A is to provide the basic Adnninistrative, Data Centralization and Management, and Statistical Services/Data Integration required by all projects to: (i) Provide unified administrative services;(ii) Facilitate scientific and administrative communication;(iii) Manage the central data archives and facilitate exchange of verified data;(iv) Coordinate statistical services consultation for the participating investigators;and (v) Apply bioinformatics / neurocomputational approaches to integrate our multimodal data, from the molecular genetic level to that of social behavior. To this end, the Objectives are: (a) Administrative Services Fostering Interactivity and Integration, to coordinate daily functioning of a complex interdisciplinary research enterprise by coordinating communications and scientific activity among the Projects and Cores, providing budgetary planning and control, and facilitating and promoting collaboration and interactivity among investigators and consultants;(b) Data Centralization and Management, Data Quality Control, Core Statistical Services, and Multidimensional Data Integration, to maintain a secure, centralized, and immediately sharable database in order to facilitate collaboration and integration, to provide basic statistical consulting services, and to coordinate data integration by applying bioinformatics / neurocomputational approaches to our large database to reveal cross-level associations. The vitally important functions of Core A thus help to manage and integrate data from different domains with the ultimate goal of characterizing the system of human social behavior against the backdrop ofthe WS social phenotype. The testimony of the enormous success of Core A function as an Administrative and Data Centralization and Integration Core is our highly impressive list of interdisciplinary publications stemming from the decade of this Program Project.

Public Health Relevance

Our goal is to integrate the gene, neural systems and behavioral project findings to forward our understanding of Williams syndrome. This study may help identify educational, social and medical-health support approaches appropriate for WS. The new bioinformatics and computer modeling techniques developed for this study will also be applicable to other multi-level brain research studies.

Agency
National Institute of Health (NIH)
Institute
Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
Type
Research Program Projects (P01)
Project #
5P01HD033113-18
Application #
8775244
Study Section
Special Emphasis Panel (ZHD1-MRG-C)
Project Start
Project End
Budget Start
2014-03-01
Budget End
2015-02-28
Support Year
18
Fiscal Year
2014
Total Cost
$82,659
Indirect Cost
$19,890
Name
University of Utah
Department
Type
DUNS #
009095365
City
Salt Lake City
State
UT
Country
United States
Zip Code
84112
Herai, Roberto R; Stefanacci, Lisa; Hrvoj-Mihic, Branka et al. (2014) Micro RNA detection in long-term fixed tissue of cortical glutamatergic pyramidal neurons after targeted laser-capture neuroanatomical microdissection. J Neurosci Methods 235:76-82
Hoeft, Fumiko; Dai, Li; Haas, Brian W et al. (2014) Mapping genetically controlled neural circuits of social behavior and visuo-motor integration by a preliminary examination of atypical deletions with Williams syndrome. PLoS One 9:e104088
Freitas, Beatriz C G; Trujillo, Cleber A; Carromeu, Cassiano et al. (2014) Stem cells and modeling of autism spectrum disorders. Exp Neurol 260:33-43
Hanson, Kari L; Hrvoj-Mihic, Branka; Semendeferi, Katerina (2014) A dual comparative approach: integrating lines of evidence from human evolutionary neuroanatomy and neurodevelopmental disorders. Brain Behav Evol 84:135-55
Ng, Rowena; Järvinen, Anna; Bellugi, Ursula (2014) Toward a deeper characterization of the social phenotype of Williams syndrome: The association between personality and social drive. Res Dev Disabil 35:1838-49
Ng, Rowena; Lai, Philip; Levitin, Daniel J et al. (2013) Musicality Correlates With Sociability and Emotionality in Williams Syndrome. J Ment Health Res Intellect Disabil 6:268-279
Mills, D L; Dai, L; Fishman, I et al. (2013) Genetic mapping of brain plasticity across development in Williams syndrome: ERP markers of face and language processing. Dev Neuropsychol 38:613-42
Teffer, Kate; Semendeferi, Katerina (2012) Human prefrontal cortex: evolution, development, and pathology. Prog Brain Res 195:191-218
Fishman, Inna; Ng, Rowena; Bellugi, Ursula (2012) Neural processing of race by individuals with Williams syndrome: do they show the other-race effect? (And why it matters). Soc Neurosci 7:373-84
Haas, B W; Hoeft, F; Barnea-Goraly, N et al. (2012) Preliminary evidence of abnormal white matter related to the fusiform gyrus in Williams syndrome: a diffusion tensor imaging tractography study. Genes Brain Behav 11:62-8

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