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The investigators' objective is to test an innovative method of autism diagnosis that integrates clinical evaluation and assessment of biobehavioral markers in a large high-risk community-referral sample of children in the primary care setting.
Full description
Determine whether eye-tracking biomarkers can reliably differentiate young children with and without autism in a community referred sample. The study will use a non-invasive remote eye-tracking system (Eyelink Portable Duo) to acquire a short series (less than 15 mins) of eye-tracking measures (e.g., looking time, pupil diameter, oculomotor dynamics), which may be associated with autism in young children. Differences in metrics between children with and without autism will be compared to validate potential eye-tracking biomarkers.
Determine whether a combination of clinical (i.e., EE Hub PCP measures) and eye-tracking biomarkers can be used to accurately predict autism diagnostic outcome in a sample of young children evaluated for autism in the primary care setting.
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Inclusion criteria
Young children ages 14-48 months seen at an EE hub and referred for a comprehensive autism evaluation.
Children must have English-speaking caregivers. Children must have a legal guardian that is able to provide consent.
Exclusion criteria
Child is younger than 14 months or older than 48 months. Child's caregiver(s) is/are not English-speaking.
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154 participants in 1 patient group
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Data sourced from clinicaltrials.gov
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