Foundations of Vocal Category Development in Autistic Infants.

The present study compared the infant's tendency in the first year of life to produce clusters of particular vocal types (squeals, vocants, and growls) in typically developing (TD) and autistic infants. Vocal clustering provides evidence of vocal category formation and may establish a foundation for speech development. Specifically, we compared the extent of vocal clustering across outcome groups and age groups. We also examined the associations between the extent of vocal clustering and later outcomes at 2 years within the autistic group. Randomly selected 5-min segments (27,153 5-min segments total) from 1293 all-day home recordings from 103 TD infants and 44 autistic infants across the first year were humancoded (about 9.75 h of data coded per infant on average) to derive vocal clustering patterns. Fisher's exact tests were used to compare the occurrence of squeals versus vocants, as well as growls versus vocants, across coded segments. Infants in both groups demonstrated clear clustering patterns of squeals and growls across all age groups. The extent of vocal clustering in the autistic group did not correlate significantly with later language, repetitive behavior, or autism severity outcomes. These findings highlight the robustness of the systematic production of vocal categories across the first year of life. The similarity of the clustering patterns in the TD and autistic groups suggests that vocal category formation through active infant vocal exploration is a robust feature of early speech development.

Canonical babbling trajectories across the first year of life in autism and typical development.

LAY ABSTRACT: Our study examined how babies develop their ability to talk to help identify early signs of autism. We looked at babies' production of babbling with mature syllables across the first year of life. Babies usually start producing mature babbling at 7 months of age before they say their first words. Some studies have suggested that babies who are later diagnosed with autism produce this kind of babbling less frequently in their first year of life, but other studies have shown complicated outcomes. In this new study, we followed 44 autistic babies and compared them to 127 typically developing babies. We recorded the babies once every month, all day long, from the time that they were born until they were around 13 months old. Then, we studied their mature babbling from segments of these recordings. We found that the rate at which babies used mature babbling was lower in boys with autism, and higher in girls with autism, compared to babies without autism. This research helps us understand how babies with autism learn to talk. It also raises important questions about differences between boys and girls with autism. Our study can help us improve how scientists and clinicians can identify autism earlier, which could lead to better communication supports for autistic children and their families.

A Randomized Trial of Direct Instruction Language for Learning in Children With Autism Spectrum Disorder.

OBJECTIVE: To compare Direct Instruction Language for Learning (DI) plus treatment as usual (TAU) with TAU alone in children with autism spectrum disorder and moderate language delay. METHOD: In this study, 83 children (age range, 4 years to 7 years 11 months) were randomly assigned to DI+TAU (n = 42) or TAU (n = 41) for 6 months. Trained therapists delivered DI in twice-weekly, 90-minute sessions for 24 weeks. The primary outcome was the standard score on the age-appropriate version of the Clinical Evaluation of Language Fundamentals (CELF). The key secondary measure was the proportion of children rated by a clinician blinded to treatment as "much improved" or "very much improved" on the Clinical Global Impressions-Improvement (CGI-I) scale. RESULTS: Attrition was 12%. At end point, DI+TAU participants showed a 4.8-point (8.1%) increase on CELF vs 2.3 points (4.1%) in TAU participants (difference = 2.55, p = .14, effect size = 0.25), rendering this a negative trial on the prespecified primary outcome. In post hoc analysis that adjusted for IQ, mean difference was 3.5 (p = .04, effect size = 0.33). On CGI-I, 54.8% (23/42) of DI+TAU participants were rated much improved or very much improved compared with 21.9% (9/41) of TAU participants (χ2 = 9.4, p = .002). On the clinically meaningful threshold of >5 points on CELF, 55.5% of DI+TAU participants achieved this benchmark vs 29.3% of TAU participants (χ2 = 3.6, p = .06). Complete CELF data were available for 72 participants. In the combined sample, baseline CELF scores ≤50 were associated with no improvement. CONCLUSION: On CELF, DI+TAU did not meet the prespecified difference from TAU. When adjusted for IQ, DI+TAU was superior to TAU on CELF at end point. DI+TAU was superior to TAU on CGI-I. CLINICAL TRIAL REGISTRATION INFORMATION: Direct Instruction Language for Learning in Autism Spectrum Disorder; https://clinicaltrials.gov/; NCT02483910.

Early Observation of Red Flags in 12-Month-Old Infant Siblings Later Diagnosed With Autism Spectrum Disorder.

Purpose Valid and reliable screening tools are needed to improve early detection and optimize developmental outcomes for toddlers at risk for autism spectrum disorder (ASD). The current study aimed to evaluate the utility of the Systematic Observation of Red Flags (SORF) for ASD at 12 months of age in a sample of high-risk infant siblings of children with ASD. Method As part of a prospective, longitudinal study, we examined the sensitivity and specificity of the SORF at 12 months for predicting a diagnosis of ASD at 24 months in a sample of 122 infants, 31 of whom were diagnosed with ASD. Results The optimal SORF Composite cutoff score of 18 correctly identified 24 of the 31 twelve-month-olds who were diagnosed with ASD, yielding a sensitivity of .77 and a specificity of .76. The optimal SORF Red Flags cutoff score of 7 correctly identified 20 of the 31 infants, yielding a sensitivity of .65 and a specificity of .75. Conclusion This preliminary study demonstrates the potential of the SORF as an effective observational screening measure for 12-month-olds at risk for ASD with good discrimination, sensitivity, and specificity.