Motor problems in autism: Co-occurrence or feature?

Motor features of autism have long been acknowledged by clinicians, researchers, and community stakeholders. Current DSM-5 and ICD-11 guidelines allow clinicians to assign a co-occurring diagnosis of developmental [motor] coordination disorder (DCD) for autistic individuals with significant motor problems. DCD is characterized by poor motor proficiency with an onset of symptoms in early development. Studies have shown considerable overlap in the behavioral motor features observed in autism and DCD. However, others indicate that motor problems in autism and DCD may stem from different underlying sensorimotor mechanisms. Regardless of whether autism has a unique motor phenotype or an overlap with DCD, changes need to be made in the clinical pipeline to address motor problems in autism at the stages of recognition, assessment, diagnosis, and intervention. Consensus is needed to address unmet needs in research on the etiology of motor problems in autism and their overlap with DCD, to optimize clinical practice guidelines. The development of screening and assessment tools for motor problems that are valid and reliable for use with autistic individuals is essential, and an evidence-based clinical pipeline for motor problems in autism is urgently needed. WHAT THIS PAPER ADDS: Motor problems in autism are highly prevalent, yet underdiagnosed and poorly managed. An evidence-based clinical pipeline for motor problems in autism is urgently needed.

Does Delivery Format Matter? A Pilot Study Comparing Telehealth Versus Face-to-Face Movement Interventions for Children With Autism Spectrum Disorder.

PURPOSE: Children with Autism Spectrum Disorder (ASD) have motor, social communication, and behavioral challenges. During the pandemic, children lost access to face-to-face (F2F) services and had to revert to telehealth (TH) options. We compared the efficacy, fidelity, acceptability, and feasibility of a general motor (GM) intervention using an F2F or telehealth (TH) format. METHODS: Fifteen children with ASD participated in an 8-week program involving gross motor games to promote motor and social communication skills. Differences across TH and F2F formats for motor and socially directed verbalization as well as stakeholder feedback on formats were collected. RESULTS: Gross motor and socially directed verbalization did not differ between the F2F and TH subgroups, and parents and trainers were satisfied with either format. However, TH interventions were longer, had more technological challenges, and required more parental effort. CONCLUSIONS: The findings of this study support the use of TH as a comparable and viable substitute for F2F interactions for children with ASD.

A Pilot Study Comparing the Efficacy, Fidelity, Acceptability, and Feasibility of Telehealth and Face-to-Face Creative Movement Interventions in Children with Autism Spectrum Disorder.

Aims: We compared the efficacy, fidelity, acceptability, and feasibility of a creative movement (CM) intervention for children with autism spectrum disorder (ASD), delivered face-to-face (F2F) or through telehealth (TH). Methods: Fifteen children with ASD received the CM intervention F2F or through TH. Motor assessments were used to evaluate effects of F2F and TH interventions on children's motor skills, while video coding was used to assess affect, socially directed verbalization, interpersonal synchrony, and motor coordination during training. Stakeholder feedback and training fidelity data on the intervention were also collected. Results: Children in both subgroups showed similar baseline performance and training-related improvements in motor skills, positive/interested affect, socially directed verbalization, interpersonal synchrony, and dual/multilimb coordination. Parents in the TH subgroup considered the intervention feasible and acceptable; however, they reported greater effort to supervise and redirect their child's attention compared to the F2F subgroup. Trainers for the TH subgroup reported more communication difficulties, technological issues, and longer session lengths, but found greater parental involvement compared to the F2F subgroup. Conclusions: CM interventions are consistent, acceptable, feasible, and effective in improving social, behavioral-affective, and motor skills of children with ASD, regardless of the method of delivery. Clinicians should make efforts to reduce communication/technological issues and parental burden when delivering CM interventions through TH. ClinicalTrials.Gov Study ID-NCT04258254.

Developmental Differences in Reaching-and-Placing Movement and Its Potential in Classifying Children with and without Autism Spectrum Disorder: Deep Learning Approach.

Autism Spectrum Disorder (ASD) is among the most prevalent neurodevelopmental disorders, yet the current diagnostic procedures rely on behavioral analyses and interviews and lack objective screening methods. This study seeks to address this gap by integrating upper limb kinematics and deep learning methods to identify potential biomarkers that could be validated in younger age groups in the future to enhance the identification of ASD. Forty-one school-age children, with and without an ASD diagnosis (Mean age ± SE = 10.3 ± 0.4; 12 Females), participated in the study. A single Inertial Measurement Unit (IMU) was affixed to the child's wrist as they engaged in a continuous reaching and placing task. Deep learning techniques were employed to classify children with and without ASD. Our findings suggest delays in motor planning and control in school-age children compared to healthy adults. Compared to TD children, children with ASD exhibited poor motor planning and control as seen by greater number of movement units, more movement overshooting, and prolonged time to peak velocity/acceleration. Compensatory movement strategies such as greater velocity and acceleration were also seen in the ASD group. More importantly, using Multilayer Perceptron (MLP) model, we demonstrated an accuracy of ~ 78.1% in classifying children with and without ASD. These findings underscore the potential use of studying upper limb movement kinematics during goal-directed arm movements and deep learning methods as valuable tools for classifying and, consequently, aiding in the diagnosis and early identification of ASD upon further validation in younger children.