Objectives: Identify patterns of social communication development that predict ASD using automated audio analysis of child vocal patterns.
Methods: Vocal patterns of 13 baby siblings of children with ASD (ASD-risk) and 7 infants at-risk for general developmental disabilities (DD-risk) were collected and analyzed prospectively using the Language ENvironment Analysis (LENA) system. LENA uses a small device worn on the child to record child vocalizations and adult words spoken near the child. Day-long vocal samples were collected once a month from age 6 to 18 months. Children were assessed every 6 months with the AOSI, Mullen, and ADOS-T (when walking). ASD risk status was determined at 18 months. Trajectories of frequencies of child vocalizations and child-adult vocal interactions were compared separately for (a) ASD-risk versus DD-risk and (b) children showing ASD concerns at 18 months versus children not showing ASD concerns.
Results: Data collection will be complete in January 2013. Preliminary results indicate that, compared to DD-risk, the ASD-risk group shows significantly lower frequency of child-adult vocal interactions between 6 and 12 months. Children showing ASD concerns show a decreasing trajectory in frequency of vocalizations. Groups did not differ on measures of expressive language at 6 or 12 months.
Conclusions: Preliminary findings suggest children at-risk for ASD show differences in social communication patterns in the first year of life that were not detected with standardized communication or behavioral measures. Future work will follow participants to 36 months for final diagnosis. Larger samples are needed to validate these findings. With better understanding of when and how development takes a course toward ASD, we can improve timing of diagnosis and initiation of interventions.
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