SFARI | Topic: Clinical

Sensitivity and specificity of early screening for autism.

Brief report: Pupillometry, visual perception, and ASD features in a task-switching paradigm.

Electroencephalography and eye-tracking measures as scalable biomarker-based predictors of ASD in high-risk infants

As a supplement to a National Institutes of Health (NIH)-funded IBIS Network study of magnetic resonance imaging predictors of ASD in high familial risk (HR) infants, Shafali Spurling Jeste proposes using electroencephalography and eye-tracking biomarkers to test more scalable predictors of ASD. This study will involve participants from the same cohort as the larger NIH study, which includes recruitment from five sites across the United States. Findings from this project may lead to more accurate early presymptomatic identification and more timely intervention for HR infants.

Evaluating two newly developed treatment outcome measures (BOSCC and ELSA) in the context of an ASD behavioral intervention trial

Impairments in social communication are among the core symptoms of ASD, but at present, there are no validated tools that can be used to evaluate social communication outcomes in clinical trials. Researchers from three sites across the United States will validate two newly developed treatment outcome measures — the Brief Observation of Social Communication Change (BOSCC) and Elicitation of Language Samples for Analysis (ELSA) over the course of an ASD behavioral intervention trial (JASPER).

Investigating potential biomarkers in autism spectrum disorder.

Gaining insights into aggressive behaviour in autism spectrum disorder using latent profile analysis.

The effect of the genetic liability to autism spectrum disorder on emotion recognition in young unaffected probands from a population-based cohort.

Early language exposure supports later language skills in infants with and without autism.

Predicting aggression to others in youth with autism using a wearable biosensor.

Validation of a tablet-based biobehavioral battery of tests applicable across age and ability levels in autism

Eva Loth and Robert Leech plan to combine age-appropriate animated cartoons with cutting-edge artificial intelligence techniques to optimize and validate a set of novel tablet tests assessing key social, emotional, motivational and cognitive processes implicated in core features of autism.