The objective of the Emory ACE Data Management &Analysis Core is to create an optimal scientific and technical environment for creating growth charts of social engagement from densely-sampled longitudinal data sets co-registered across multiple domains in order to explore mechanisms of risk and resilience in autism, a key aim of Projects l-V as well as the whole program project. To accomplish this goal, the Core will provide shared resources, facilities and expertise for data collection, processing, analysis, storage and retrieval to serve the entire program project, as well as acting as a common repository for sharing data between individual projects and transmitting results to NDAR.
The specific aims of the Core are: (1) Data Management: to meet the uniquely challenging data processing, management, storage and transmission needs of the entire program project;(2) Data Analysis: to provide a common methodological framework and shared computational infrastructure for carrying out state-of-the-art developmental profiling and statistical analysis of experimental measures collected across Projects l-V;(3) Training and Reliability: to provide common training in all of the novel data analysis techniques employed across projects, and to ensure that those techniques are deployed consistently and reliably across projects, using appropriate procedures for data management;and (4) Quality Control: to ensure that all data arising from the program project are of uniformly and exceptionally high quality, suitable for publication, submission to NDAR, and immediate use by other scientists. Key personnel will provide expertise in mathematical analysis, biostatistics, software engineering, and data processing needed to achieve the specific aims of each project. Shared facilities and infrastructure will be made available to support the data management and analysis needs of each project, including a central supercomputing facility, local workstations, and a suite of software tools customized for the data processing required in each project. Data management will be centralized on a common data server using RexDB, a custom-designed database commissioned from Prometheus Research specifically to handle large-volume clinical, behavioral, and experimental data sets, and their transmission to NDAR.

Public Health Relevance

This research will generate a unique collection of large-scale data sets based on clinical, behavioral, and experimental measures that map out the developmental unfolding of autism over the first years of life. The Emory ACE Data Management &Analysis Core will ensure that the full potential for sharing our data, extracting new information about autism, and rapidly translating that information into practice is realized, addressing the Interagency Autism Committee objectives for Early Detection, Data Sharing and Resources.

National Institute of Health (NIH)
National Institute of Mental Health (NIMH)
Specialized Center (P50)
Project #
Application #
Study Section
Special Emphasis Panel (ZHD1-DSR-Y)
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
Emory University
United States
Zip Code
Lyu, Ilwoo; Kim, Sun H; Seong, Joon-Kyung et al. (2015) Robust estimation of group-wise cortical correspondence with an application to macaque and human neuroimaging studies. Front Neurosci 9:210
Klin, Ami; Shultz, Sarah; Jones, Warren (2015) Social visual engagement in infants and toddlers with autism: early developmental transitions and a model of pathogenesis. Neurosci Biobehav Rev 50:189-203
Klin, Ami; Wetherby, Amy M; Woods, Juliann et al. (2015) Toward innovative, cost-effective, and systemic solutions to improve outcomes and well-being of military families affected by autism spectrum disorder. Yale J Biol Med 88:73-9
Cherel, Marie; Budin, Francois; Prastawa, Marcel et al. (2015) Automatic Tissue Segmentation of Neonate Brain MR Images with Subject-specific Atlases. Proc SPIE Int Soc Opt Eng 9413:
Klin, Ami; Klaiman, Cheryl; Jones, Warren (2015) Reducing age of autism diagnosis: developmental social neuroscience meets public health challenge. Rev Neurol 60 Suppl 1:S3-11
Oguz, Ipek; Styner, Martin; Sanchez, Mar et al. (2015) LOGISMOS-B for Primates: Primate Cortical Surface Reconstruction and Thickness Measurement. Proc SPIE Int Soc Opt Eng 9413:
Chawarska, Katarzyna; Shic, Frederick; Macari, Suzanne et al. (2014) 18-month predictors of later outcomes in younger siblings of children with autism spectrum disorder: a baby siblings research consortium study. J Am Acad Child Adolesc Psychiatry 53:1317-1327.e1
Gao, Hao; Li, Longchuan; Zhang, Kai et al. (2014) PCLR: phase-constrained low-rank model for compressive diffusion-weighted MRI. Magn Reson Med 72:1330-41
Lyu, Ilwoo; Kim, Sun Hyung; Seong, Joon-Kyung et al. (2013) Group-wise cortical correspondence via sulcal curve-constrained entropy minimization. Inf Process Med Imaging 23:364-75
Li, Longchuan; Hu, Xiaoping; Preuss, Todd M et al. (2013) Mapping putative hubs in human, chimpanzee and rhesus macaque connectomes via diffusion tractography. Neuroimage 80:462-74

Showing the most recent 10 out of 11 publications