Subcategory Detail
Interagency Autism Coordinating Committee (IACC) logo
Office of Autism Research Coordination (OARC) logo

Early Signs and Biomarkers$21,333,738.17
Fiscal Year: 2010
  

Download 2010 Early Signs and Biomarkers projects (EXCEL)
Projects which use a variety of methods to search for signs of autism in very young children (generally under age 3) that could be used for diagnosis, such as eye-tracking, physiological measures, and autism-specific behavioral patterns are included in this subcategory. More examples include projects investigating metabolic measures, such as the levels of specific chemicals, hormones, or proteins in the blood that could be used as biomarkers of the disorder.
Graph: The four subcategories for research related to Question 1 (Diagnosis) illustrated a heavy focus on identifying Early signs and biomarkers for ASD. Characterizing Symptomology and developing Diagnostic and screening tools also received significant funding (24% and 20%, respectively). The smallest subcategory focused on identifying Intermediate phenotypes and subgroups of people with ASD (9%).
Note: Initial Sort is by Principal Investigator. Sorting by other columns is available by clicking on the desired column header.
Project Title Principal Investigator Strategic Plan Objective Institution
Electrophysiological, metabolic and behavioral markers of infants at risk Nelson, Charles Q1.L.A Children's Hospital Boston
Infants at risk of autism: A longitudinal study Ozonoff, Sally Q1.L.A University of California, Davis
Oxytocin biology and the social deficits of autism spectrum disorders Parker, Karen Q1.L.A Stanford University
Temporal coordination of social communicative behaviors in infant siblings of children with autism Parlade, Meaghan Q1.L.A University of Pittsburgh
ACE Center: Clinical Phenotype: Recruitment and Assessment Core Pierce, Karen Q1.L.A University of California, San Diego
Studying the biology and behavior of autism at 1-year: The Well-Baby Check-Up approach Pierce, Karen Q1.L.A University of California, San Diego
ACE Network: A longitudinal MRI study of infants at risk for autism Piven, Joseph Q1.L.A University of North Carolina at Chapel Hill
Supplement to NIH ACE Network grant: "A longitudinal MRI study of infants at risk for autism" Piven, Joseph Q1.L.A University of North Carolina at Chapel Hill
Novel methods for testing language comprehension in children with ASD Tager-Flusberg, Helen Q1.S.B Boston University
Early detection of autism through acoustic analysis of cry Sheinkopf, Stephen Q1.S.B Women and Infants Hospital of Rhode Island
Baby Siblings Research Consortium Staff Member Q1.S.B Autism Speaks (AS)
Biomarkers and diagnostics for ASD Bahn, Sabine Q1.S.A Institute of Biotechnology