The Administrative Core serves as the nucleus of the IDDRC and provides scientific and administrative leadership. The overarching goal of the Administrative Core is to create an environment in which science relevant to discovery of the causes, consequences, mechanisms and treatments of IDD can be effectively and efficiently designed, conducted and disseminated. The Administrative Core has the following specific objectives: 1. To provide high quality, scientific leadership that helps to produce the best possible research relevant to IDDs through (a) developing superior core facilities that best meet the needs of investigators; (b) recruiting and supporting outstanding investigators that share the IDDRC mission to improve the lives of individuals with IDDs through the conduct of cutting-edge research on the causes, consequences, mechanisms and treatments of these conditions; (c) serving as liaison to other university and outside organizations, including NIH, the IDDRC Network and the community;and, (d) promoting a cohesive, integrated IDDRC, to maximize the combined efforts of our investigators and resources in IDD research - 'a whole greater than the sum of its parts'. 2. To provide outstanding administrative leadership with respect to managing day-to-day operations and maintaining high-quality, cost-effective services throughout the center.
| Lyu, Ilwoo; Perdomo, Jonathan; Yapuncich, Gabriel S et al. (2018) Group-wise Shape Correspondence of Variable and Complex Objects. Proc SPIE Int Soc Opt Eng 10574: |
| Marrus, N; Hall, L P; Paterson, S J et al. (2018) Language delay aggregates in toddler siblings of children with autism spectrum disorder. J Neurodev Disord 10:29 |
| Allard, Denise E; Wang, Yan; Li, Jian Joel et al. (2018) Schwann cell-derived periostin promotes autoimmune peripheral polyneuropathy via macrophage recruitment. J Clin Invest 128:4727-4741 |
| Jha, Shaili C; Xia, Kai; Schmitt, James Eric et al. (2018) Genetic influences on neonatal cortical thickness and surface area. Hum Brain Mapp 39:4998-5013 |
| Greene, R K; Spanos, M; Alderman, C et al. (2018) The effects of intranasal oxytocin on reward circuitry responses in children with autism spectrum disorder. J Neurodev Disord 10:12 |
| Thaxton, Courtney; Kloth, Alexander D; Clark, Ellen P et al. (2018) Common Pathophysiology in Multiple Mouse Models of Pitt-Hopkins Syndrome. J Neurosci 38:918-936 |
| Tuttle, Alexander H; Molinaro, Mark J; Jethwa, Jasmine F et al. (2018) A deep neural network to assess spontaneous pain from mouse facial expressions. Mol Pain 14:1744806918763658 |
| Mostapha, Mahmoud; Shen, Mark D; Kim, SunHyung et al. (2018) A Novel Framework for the Local Extraction of Extra-Axial Cerebrospinal Fluid from MR Brain Images. Proc SPIE Int Soc Opt Eng 10574: |
| Ngattai Lam, Prince D; Belhomme, Gaetan; Ferrall, Jessica et al. (2018) TRAFIC: Fiber Tract Classification Using Deep Learning. Proc SPIE Int Soc Opt Eng 10574: |
| Qiao, Chunping; Dai, Yi; Nikolova, Viktoriya D et al. (2018) Amelioration of Muscle and Nerve Pathology in LAMA2 Muscular Dystrophy by AAV9-Mini-Agrin. Mol Ther Methods Clin Dev 9:47-56 |
Showing the most recent 10 out of 143 publications
