|Project Title||Principal Investigator||Institution|
|Predicting useful speech in children with autism||Yoder, Paul||Vanderbilt University|
|Social evaluation in infants and toddlers||Wynn, Karen||Yale University|
|HCC: Medium: Automatic detection of atypical patterns in cross-modal affect||Van Santen, Jan||Oregon Health & Science University|
|A novel quantitative framework to study lack of social interactions in autism||Torres, Elizabeth||Rutgers, The State University of New Jersey - New Brunswick|
|Electrophysiological correlates of cognitive control in autism||Takarae, Yukari||University of California, Davis|
|Family studies of sensorimotor and neurocognitive heterogeneity in autism spectrum disorders (ASD)||Sweeney, John||University of Texas Southwestern Medical Center at Dallas|
|Clinical and behavioral phenotyping of autism and related disorders||Swedo, Susan||National Institutes of Health|
|Social-emotional development of infants at risk for autism spectrum disorders||Stone, Wendy; Messinger, Daniel||University of Washington|
|Validity of an anxious subtype in autism spectrum disorders||Sterling, Lindsey||University of California, Los Angeles|
|ACE Center: The development of the siblings of children with autism: A longitudinal study||Sigman, Marian||University of California, Los Angeles|
|Collaborative research: Computational behavioral science: Modeling, analysis, and visualization of social and communicative behavior||Sclaroff, Stan||Trustees of Boston University|
|Neuroimaging of autism spectrum disorders||Schultz, Robert||University of California, Los Angeles|
|CDI-Type I: Understanding regulation of visual attention in autism through computational and robotic modeling||Scassellati, Brian||Yale University|
|Electrophysiological signatures of language impairment in autism spectrum disorder||Roberts, Timothy||Children's Hospital of Philadelphia|
|Electrophysiological signatures of language impairment in autism spectrum disorder (supplement)||Roberts, Timothy||Children's Hospital of Philadelphia|
|The intersection of autism and ADHD||Reiersen, Angela||Washington University in St. Louis|
|Collaborative research: Computational behavioral science: Modeling, analysis, and visualization of social and communicative behavior||Rehg, James||Georgia Tech Research Corporation|
|Collaborative research: Computational behavioral science: Modeling, analysis, and visualization of social and communicative behavior||Picard, Rosalind||Massachusetts Institute of Technology|
|Analyses of brain structure and connectivity in young children with autism||Nordahl, Christine||University of California, Davis|
|Functional brain networks in autism and attention deficit hyperactivity disorder||Nigg, Joel||Oregon Health & Science University|
|Narayanan, Shrikanth||University of Southern California|
|Amygdala structure & biochemistry in adolescents with autism||Nacewicz, Brendon||University of Wisconsin - Madison|
|Cellular structure of the amygdala in autism||Morgan, John||University of California, Davis|
|Emotional mimicry in children with autism||Moody, Eric||University of Colorado Denver|
|Emotion, communication, & EEG: Development & risk||Messinger, Daniel||University of Miami|
|IACC Strategic Plan Objective||2008||2009||2010||2011||2012||Total|
|Develop at least five measures of behavioral and/or biological heterogeneity in children or adults with ASD, beyond variation in intellectual disability, that clearly relate to etiology and risk, treatment response and/or outcome by 2015.
IACC Recommended Budget: $71,100,000 over 5 years
|1.L.B. Funding: The recommended budget was partially met.
Progress: Over 50 projects were supported in this area. While behavioral and/or biological heterogeneity are well covered by existing projects, gaps still exist in relating these measures to etiology and risk, treatment response, and/or outcomes.
Remaining Gaps, Needs, and Opportunities: There was a discussion of whether this objective should be expanded to be compatible with the Research Domain Criteria (RDoC) now being used by NIMH, which focus on functional domains rather than disorder-specific characteristics.