JMIR Publications

ABSTRACT

Background:

Approximately 80% of ASD children struggle with age-appropriate motor skills. Numerous studies in this population have examined the effects of motor intervention on social communication and interaction, executive function, and mental health issues. Whereas heterogeneity in publication prevents researchers from revealing the structure and evolution of this topic.

Objective:

The objective of this study was to conduct a bibliometric analysis of current publications in order to identify prevalent trends and topics concerning motor intervention for children with autism spectrum disorder.

Methods:

Following a systematic search in the Web of Science Core Collection, we used a new research synthesis framework (systematic mapping and bibliometrics) to (1) analyse literature information (productivity and citations) through performance analysis; and (2) perform network analysis of co-cited references and co-occurring keywords to identify research hotspots, frontiers, and emerging trends.

Results:

There were a total of 2,341 scientific publications included. ASD symptoms, intervention strategies, and treatment modalities were recognised as research hotspots. Physical activity, validation, and machine learning were identified as research frontiers.

Conclusions:

Motor impairments may be considered a core symptom in children with ASD in the future. Serious games and Exergames are low-cost and potentially effective interventions and treatments. Machine learning has recently emerged as a promising technology for earlier identification of ASD children. However, the validity of diagnostic and evaluation tools, as well as the dosage and clinical efficacy of emerging technological interventions (e.g., serious games and Exergame), remain debatable. Furthermore, while the development and application of new technologies will become an important emerging trend, low-risk treatment with behavioural or psychological treatments is the preferred treatment for children with ASD.