Investigating the Structure of the CESD-R and DASS-21 Across Adults with Low and High Levels of Autistic Traits.

The current study examined factorial invariance of the Center for Epidemiologic Studies Depression Scale-Revised (CESD-R) and the Depression Anxiety Stress Scales-21 (DASS-21) using a convenience sample of 434 adults surveyed though Amazon Mechanical Turk. Participants were sorted into two groups based on their score on the Autism-Spectrum Quotient. Results indicated that the CESD-R did not demonstrate configural invariance. The DASS-21 demonstrated evidence of scalar invariance, indicating cross-group equality in factor loadings and factor intercepts. Findings suggest that the DASS-21 measures symptoms of depression, anxiety, and stress consistently across individuals with high and low levels of ASD-related traits, whereas the CESD-R may not be valid when assessing symptoms of depression in those with a high level of ASD-related traits.

Examining the Latent Structure and Correlates of Sensory Reactivity in Autism: A Multi-site Integrative Data Analysis by the Autism Sensory Research Consortium.

Background Differences in responding to sensory stimuli, including sensory hyperreactivity (HYPER), hyporeactivity (HYPO), and sensory seeking (SEEK) have been observed in autistic individuals across sensory modalities, but few studies have examined the structure of these "supra-modal" traits in the autistic population. Methods Leveraging a combined sample of 3,868 autistic youth drawn from 12 distinct data sources (ages 3-18 years and representing the full range of cognitive ability), the current study used modern psychometric and meta-analytic techniques to interrogate the latent structure and correlates of caregiver-reported HYPER, HYPO, and SEEK within and across sensory modalities. Bifactor statistical indices were used to both evaluate the strength of a "general response pattern" factor for each supra-modal construct and determine the added value of "modality-specific response pattern" scores (e.g., Visual HYPER). Bayesian random-effects integrative data analysis models were used to examine the clinical and demographic correlates of all interpretable HYPER, HYPO and SEEK (sub)constructs. Results All modality-specific HYPER subconstructs could be reliably and validly measured, whereas certain modality-specific HYPO and SEEK subconstructs were psychometrically inadequate when measured using existing items. Bifactor analyses unambiguously supported the validity of a supra-modal HYPER construct (ω H = .800), whereas a coherent supra-modal HYPO construct was not supported (ω H = .611), and supra-modal SEEK models suggested a more limited version of the construct that excluded some sensory modalities (ω H = .799; 4/7 modalities). Within each sensory construct, modality-specific subscales demonstrated substantial added value beyond the supra-modal score. Meta-analytic correlations varied by construct, although sensory features tended to correlate most strongly with other domains of core autism features and co-occurring psychiatric symptoms. Certain subconstructs within the HYPO and SEEK domains were also associated with lower adaptive behavior scores. Limitations: Conclusions may not be generalizable beyond the specific pool of items used in the current study, which was limited to parent-report of observable behaviors and excluded multisensory items that reflect many "real-world" sensory experiences. Conclusion Psychometric issues may limit the degree to which some measures of supra-modal HYPO/SEEK can be interpreted. Depending on the research question at hand, modality-specific response pattern scores may represent a valid alternative method of characterizing sensory reactivity in autism.

Examining the latent structure and correlates of sensory reactivity in autism: a multi-site integrative data analysis by the autism sensory research consortium.

BACKGROUND: Differences in responding to sensory stimuli, including sensory hyperreactivity (HYPER), hyporeactivity (HYPO), and sensory seeking (SEEK) have been observed in autistic individuals across sensory modalities, but few studies have examined the structure of these "supra-modal" traits in the autistic population. METHODS: Leveraging a combined sample of 3868 autistic youth drawn from 12 distinct data sources (ages 3-18 years and representing the full range of cognitive ability), the current study used modern psychometric and meta-analytic techniques to interrogate the latent structure and correlates of caregiver-reported HYPER, HYPO, and SEEK within and across sensory modalities. Bifactor statistical indices were used to both evaluate the strength of a "general response pattern" factor for each supra-modal construct and determine the added value of "modality-specific response pattern" scores (e.g., Visual HYPER). Bayesian random-effects integrative data analysis models were used to examine the clinical and demographic correlates of all interpretable HYPER, HYPO, and SEEK (sub)constructs. RESULTS: All modality-specific HYPER subconstructs could be reliably and validly measured, whereas certain modality-specific HYPO and SEEK subconstructs were psychometrically inadequate when measured using existing items. Bifactor analyses supported the validity of a supra-modal HYPER construct (ωH = .800) but not a supra-modal HYPO construct (ωH = .653), and supra-modal SEEK models suggested a more limited version of the construct that excluded some sensory modalities (ωH = .800; 4/7 modalities). Modality-specific subscales demonstrated significant added value for all response patterns. Meta-analytic correlations varied by construct, although sensory features tended to correlate most with other domains of core autism features and co-occurring psychiatric symptoms (with general HYPER and speech HYPO demonstrating the largest numbers of practically significant correlations). LIMITATIONS: Conclusions may not be generalizable beyond the specific pool of items used in the current study, which was limited to caregiver report of observable behaviors and excluded multisensory items that reflect many "real-world" sensory experiences. CONCLUSION: Of the three sensory response patterns, only HYPER demonstrated sufficient evidence for valid interpretation at the supra-modal level, whereas supra-modal HYPO/SEEK constructs demonstrated substantial psychometric limitations. For clinicians and researchers seeking to characterize sensory reactivity in autism, modality-specific response pattern scores may represent viable alternatives that overcome many of these limitations.

School-entry language skills as predictors of concurrent and future academic, social, and adaptive skills in kindergarteners with ASD.

OBJECTIVE: This study compared language profiles of children with autism spectrum disorder (ASD) and typically developing (TD) children at kindergarten-entry and investigated whether kindergarten-entry language scores were predictive of concurrent and future academic achievement, peer interactions, and adaptive skills in children with ASD. METHOD: Participants included 97 children (62 children with ASD; 35 TD children) assessed at kindergarten-entry and -exit. Language abilities were assessed using the Children's Communication Checklist-2 (CCC-2). Children with ASD and TD children's language scores were compared at baseline, and the ASD group was followed longitudinally. Regression analyses were performed to compare language scores between ASD and TD groups and to predict concurrent and future functional skills from kindergarten-entry language scores for children with ASD. RESULTS: Children with ASD demonstrated significantly more impairments across all scales of the CCC-2 at kindergarten-entry compared to TD children. Within the ASD group, kindergarten-entry pragmatic language significantly predicted concurrent math and reading achievement. Both syntactic/semantic and pragmatic domains significantly predicted kindergarten-exit reading performance; pragmatics significantly predicted kindergarten-exit math performance. Pragmatics also predicted concurrent and kindergarten-exit peer play. Syntax/semantics significantly predicted concurrent adaptive communication skills, whereas pragmatics significantly predicted concurrent adaptive daily living and socialization skills, as well as kindergarten-exit socialization skills. CONCLUSIONS: School-entry language abilities can serve as a valuable predictor of functional outcomes across the kindergarten year for cognitively-able children with ASD. Results highlight the need to target early language abilities to maximize academic, social, and adaptive skills.

Intra-topic latency as an automated behavioral marker of treatment response in autism spectrum disorder.

Data science advances in behavioral signal processing and machine learning hold the promise to automatically quantify clinically meaningful behaviors that can be applied to a large amount of data. The objective of this study was to identify an automated behavioral marker of treatment response in social communication in children with autism spectrum disorder (ASD). First, using an automated computational method, we successfully derived the amount of time it took for a child with ASD and an adult social partner (N pairs = 210) to respond to each other while they were engaged in conversation bits ("latency") using recordings of brief, natural social interactions. Then, we measured changes in latency at pre- and post-interventions. Children with ASD who were receiving interventions showed significantly larger reduction in latency compared to those who were not receiving interventions. There was also a significant group difference in the changes in latency for adult social partners. Results suggest that the automated measure of latency derived from natural social interactions is a scalable and objective method to quantify treatment response in children with ASD.

Longitudinal stability of salivary microRNA biomarkers in children and adolescents with autism spectrum disorder.

BACKGROUND: Autism spectrum disorder (ASD) is a complex neurological condition with increasing prevalence. Few tools accurately predict the developmental trajectory of children with ASD. Such tools would allow clinicians to provide accurate prognoses and track the efficacy of therapeutic interventions. Salivary RNAs that reflect the genetic-environmental interactions underlying ASD may provide objective measures of symptom severity and developmental outcomes. This study investigated whether salivary RNAs previously identified in childhood ASD remain perturbed in older children. We also explored whether RNA candidates changed with therapeutic intervention. METHOD: A case-control design was used to characterize levels of 78 saliva RNA candidates among 96 children (48 ASD, 48 non-ASD, mean age: 11 years). Thirty-one children (22 ASD, 9 non-ASD developmental delay, mean age: 4 years) were followed longitudinally to explore changes of RNA candidates during early intervention. Saliva RNA and standardized behavioral assessments were collected for each participant. Associations between candidate RNAs and behavioral scores were determined in both groups via Spearman Correlation. Changes in candidate RNAs across two time-points were assessed in the younger cohort via Wilcoxon rank-sum test. RESULTS: Seven RNAs were associated with VABS-II and BASC scores in the older group ([R] >0.25, FDR< 0.15). Within the younger cohort, 12 RNAs displayed significant changes over time (FDR< 0.05). Three microRNAs were associated with behavioral scores and changed over time (miR-182-5p, miR-146b-5p, miR-374a-5p). CONCLUSION: Several salivary RNAs are strongly associated with autistic behaviors in older individuals with ASD and change as early as three months after therapy initiation in younger children. These molecules could be used to track treatment effectiveness and provide prognoses. Further validation is necessary.

Sensory Overresponsivity as a Predictor of Amplitude Discrimination Performance in Youth with ASD.

Previous studies have suggested that sensory overresponsivity in youth with autism spectrum disorder (ASD) may be due to a failure to habituate to stimuli. We examined the relationship between performance on three tactile psychophysical tasks and the construct of sensory overresponsivity in children with and without ASD. Sensory overresponsivity predicted amplitude discrimination with an adapting stimulus, as well as the effect of adaptation, for ASD youth. Results replicate previous research that children with ASD are less affected by the presence of an adapting stimulus as compared to typically developing children, and further suggest that sensory overresponsivity may be the mechanism underlying the observed lack of an adaptation effect in children with ASD.