Social threat processing in adults and children: Faster orienting to, but shorter dwell time on, angry faces during visual search.

Attention to emotional signals conveyed by others is critical for gleaning information about potential social partners and the larger social context. Children appear to detect social threats (e.g., angry faces) faster than non-threatening social signals (e.g., neutral faces). However, methods that rely on behavioral responses alone are limited in identifying different attentional processes involved in threat detection or responding. To address this question, we used a visual search paradigm to assess behavioral (i.e., reaction time to select a target image) and attentional (i.e., eye-tracking fixations, saccadic shifts, and dwell time) responses in children (ages 7-10 years old, N = 42) and adults (ages 18-23 years old, N = 46). In doing so, we compared behavioral responding and attentional detection and engagement with threatening (i.e., angry and fearful faces) and non-threatening (i.e., happy faces) social signals. Overall, children and adults were faster to detect social threats (i.e., angry faces), but spent a smaller proportion of time dwelling on them and had slower behavioral responses. Findings underscore the importance of combining different measures to parse differences between processing versus responding to social signals across development. RESEARCH HIGHLIGHTS: Children and adults are slower to select angry faces when measured by time to mouse-click but faster to detect angry faces when measured by time to first eye fixation. The use of eye-tracking addresses some limitations of prior visual search tasks with children that rely on behavioral responses alone. Results suggest shorter time to first fixation, but subsequently, shorter duration of dwell on social threat in children and adults.

We Must Consider Infrastructure when Attempting to Scale up Autism EBIs: A Case Example from Early Intervention Systems.

In the autism field, there is increasing interest in translating evidence-based interventions (EBIs) into systems that serve young autistic children and their families. Public Early Intervention systems have been a focal point of research-based implementation efforts given that these systems are federally mandated to provide services to children birth to three years of age with developmental delays under Part C of the Individuals with Disabilities Education Act. Although a growing number of research studies are now training Early Intervention providers to deliver autism EBIs, this work has been conducted on a relatively small scale and has only just begun to consider the alignment of these models with Early Intervention systems and whether sufficient infrastructure exists to scale up these training efforts and to sustain their public health impact. This commentary aims to address this gap by reviewing factors that have been found to uniformly impact the scale-up of EBIs across diverse public systems (Fagan 20, 1147-1168, 2019), and to extend this framework to the implementation of EBIs within public Early Intervention systems. These factors include developer and funder capacity, the public's awareness of and support for EBIs, the system's leadership support for EBI use, the capacity for community engagement in implementation efforts, the availability of a skilled workforce capable of delivering EBIs, and the capacity for data monitoring and quality improvement. This commentary discusses how these factors may specifically impact the scale-up of autism EBIs within EI systems to support toddlers and young, autistic children, and implications for autism researchers.

Feasibility and acceptability of a low-resource-intensive, transdiagnostic intervention for children with social-communication challenges in early childhood education settings.

ABSTRACT: Preschool classrooms provide a unique context for supporting the development of children with social-communication challenges. This study is an uncontrolled clinical trial of an adapted professional development intervention for preschool teachers (Social Emotional Engagement-Knowledge & Skills-Early Childhood). Social Emotional Engagement-Knowledge & Skills-Early Childhood is a low-resource-intensive, transdiagnostic intervention to address the learning needs of children with social-communication challenges and consists of four asynchronous online modules and three synchronous coaching sessions. The current research evaluated the feasibility and acceptability of intervention and research procedures, implemented in authentic early childhood education settings. Participants included one teacher and one target child with social-communication challenges from 25 preschool classrooms, sampled to maximize variability. Overall, the current research revealed high levels of feasibility, with 9 out of 10 benchmarks met: (a) procedures for participant recruitment reliably identified a neurodiverse sample of children with teacher-reported social-communication challenges; (b) teachers showed high levels of program engagement and Social Emotional Engagement-Knowledge & Skills-Early Childhood completion (76%); and (c) results revealed a robust pattern of gains in Social Emotional Engagement-Knowledge & Skills-Early Childhood classrooms and associations among key outcome measures (including active engagement, student teacher relationship, social-communication competencies). Implications for the design of a subsequent, larger effectiveness-implementation hybrid trial (Type 1) are discussed.

Inclusive Early Childhood Education for Children With and Without Autism: Progress, Barriers, and Future Directions.

University-affiliated lab and model schools play an important role in creating educational innovations in inclusive early childhood education (ECE) for young children with Autism Spectrum Disorder (ASD). In the United States, access to inclusive high-quality ECE programs for young children with disabilities has been required by law for over 40 years, has been recommended by leading professional organizations, and has been emphasized in federal public policy initiatives. Yet, improvement in the rates of young children with disabilities experiencing inclusion has been limited. This review article consists of three parts. First, we identify and describe four barriers to wide-scale implementation of inclusive ECE programs for children with ASD in the US. These barriers include (1) the fragmented nature of the ECE system in the United States, (2) the age at which ASD is typically first diagnosed in the community, (3) the diverse presentation/support needs of children with ASD, and (4) the thoughts and feelings of parents of children without disability about inclusion. Second, we used a snowball sampling approach to identify nine leading university-affiliated, inclusive lab and model schools for young children with ASD. By describing these programs, we highlight similarities and differences between programs, and capture the unique ways in which these programs adapt to local conditions, resources, and barriers (e.g., federal and state regulations, funding sources, community resources, institutional structures and priorities, professional orientation and training, access to families and staff). Finally, we propose a roadmap for researchers focused on the development, evaluation, and implementation of community-viable inclusive ECE programs in ASD. This roadmap leverages synergies between inclusive university-affiliated lab and model preschools in ASD, and proposes the formation of a research network that creates an infrastructure for cross-program collaboration.