|Project Title||Principal Investigator||Institution|
|Biomarkers for autism and for gastrointestinal and sleep problems in autism||Anderson, George||Yale University|
|ACE Center: Gaze perception abnormalities in infants with ASD||Chawarska, Katarzyna||Yale University|
|Prospective study of infants at high risk for autism||Chawarska, Katarzyna||Yale University|
|ACE Center: Data Management and Analysis Core||Grigorenko, Elena||Yale University|
|Model diagnostic lab for infants at risk for autism||Klin, Ami||Yale University|
|The ontogeny of social visual engagement in infants at risk for autism||Klin, Ami||Yale University|
|ACE Center: Assessment Core||Klin, Ami||Yale University|
|Nonlinguistic vocalizations in autism: Acoustic cry analysis in early infancy||Sheinkopf, Stephen||Women and Infants Hospital of Rhode Island|
|Misregulation of BDNF in autism spectrum disorders||Hempstead, Barbara||Weill Cornell Medical College|
|Predicting outcome at age 5 of younger siblings of children with ASD||Malesa, Elizabeth||Vanderbilt University|
|A longitudinal 3-D MRSI study of infants at high risk for autism||Dager, Stephen||University of Washington|
|Neurophysiological indices of risk and outcome in autism||Webb, Sara||University of Washington|
|ACE Center: Linguistic and social responses to speech in infants at risk for autism||Kuhl, Patricia||University of Washington|
|Early identification of autism: A prospective study||Iverson, Jana||University of Pittsburgh|
|Temporal coordination of social communicative behaviors in infant siblings of children with autism||Parlade, Meaghan||University of Pittsburgh|
|Supplement to NIH ACE Network grant: "A longitudinal MRI study of infants at risk for autism"||Piven, Joseph||University of North Carolina at Chapel Hill|
|ACE Network: A longitudinal MRI study of infants at risk for autism||Piven, Joseph||University of North Carolina at Chapel Hill|
|Validation study of atypical dynamic pupillary light reflex as a biomarker for autism||Yao, Gang||University of Missouri|
|Pupil size and circadian salivary variations in autism spectrum disorder||Colombo, John||University of Kansas|
|Abnormal vestibulo-ocular reflexes in autism: A potential endophenotype||White, Keith||University of Florida|
|Language development and outcome in children with autism||Naigles, Letitia||University of Connecticut|
|Language development and outcome in children with autism (supplement)||Naigles, Letitia||University of Connecticut|
|The genetic link between autism and structural cerebellar malformations||Millen, Kathleen||University of Chicago|
|ACE Center: MRI studies of early brain development in autism||Courchesne, Eric||University of California, San Diego|
|Development of neural pathways in infants at risk for autism spectrum disorders||Dobkins, Karen||University of California, San Diego|
|IACC Strategic Plan Objective||2008||2009||2010||2011||2012||Total|
|Identify behavioral and biological markers that separately, or in combination, accurately identify, before age 2, one or more subtypes of children at risk for developing ASD, and evaluate whether these risk markers or profiles can improve early identification through heightened developmental monitoring and screening by 2014.
IACC Recommended Budget: $33,300,000 over 5 years
|1.L.A. Funding: The recommended budget was met. Significantly more than the recommended minimum budget was allocated to projects specific to this objective.
Progress: More than 40 projects have been supported in this area, but most projects are still in the discovery phase. Identifying reliable early biomarkers has been challenging, but some progress has been made. More work is needed to achieve the full intent of the objective.
Remaining Gaps, Needs, and Opportunities: Remaining research needs include continued discovery of biomarkers, linking biomarkers to treatment response, validation of biomarkers discovered in high risk populations for applicability in the general population, and evaluation of whether these biomarkers translate to improvement in screening and diagnosis real-world settings. There is also a need for biomarkers that are cost-effective.