Strategic Plan Objective Detail
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Question 1: Long-term Objective A  

$13,270,044.50
Fiscal Year: 2010

Green dot: Objective has greater than or equal to the recommended funding.1LA. 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.

Download 2010 Question 1: Long-term Objective A projects (EXCEL)
Note: Initial Sort is by Principal Investigator. Sorting by other columns is available by clicking on the desired column header.
Project Title Principal Investigator Institution
ACE Network: A longitudinal MRI study of infants at risk for autism Piven, Joseph 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 University of North Carolina at Chapel Hill
Defining high and low risk expression of emotion in infants at risk for autism Hannigen, Sarah University of Pittsburgh
Temporal coordination of social communicative behaviors in infant siblings of children with autism Parlade, Meaghan University of Pittsburgh
Early identification of autism: A prospective study Iverson, Jana University of Pittsburgh
Early social and emotional development in toddlers at genetic risk for autism Campbell, Susan University of Pittsburgh
Observational and electrophysiological assessments of temperament in infants at risk for autism spectrum disorders Burner, Karen 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
A longitudinal 3-D MRSI study of infants at high risk for autism Dager, Stephen University of Washington
Developmental characteristics of MRI diffusion tensor pathway changes in autism Conturo, Thomas Washington University
Misregulation of BDNF in autism spectrum disorders Hempstead, Barbara Weill Cornell Medical College
Biomarkers for autism and for gastrointestinal and sleep problems in autism Anderson, George Yale University
Prospective study of infants at high risk for autism Chawarska, Katarzyna Yale University
The ontogeny of social visual engagement in infants at risk for autism Klin, Ami Yale University
ACE Center: Gaze perception abnormalities in infants with ASD Chawarska, Katarzyna Yale University
ACE Center: Assessment Core Klin, Ami Yale University
Physical and clinical infrastructure for research on infants-at-risk for autism at Yale Klin, Ami Yale University
Brain-behavior growth charts of altered social engagement in ASD infants Klin, Ami Yale University
Model diagnostic lab for infants at risk for autism Klin, Ami Yale University

Objective Cumulative Funding Table

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
1.3
$2,885,940
14 projects

1.L.A
$16,465,034
43 projects

1.L.A
$13,270,045
45 projects

1.L.A
$12,416,466
43 projects

1.L.A
$12,894,621
40 projects

$57,932,106
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.