Swipe kinematic differences in young children with autism spectrum disorders are task- and age-dependent : a smart tablet game approach

Lu, Szu-Ching and Rowe, Philip and Tachtatzis, Christos and Andonovic, Ivan and Anzulewicz, Anna and Sobota, Krzystof and Delafield-Butt, Jonathan (2022) Swipe kinematic differences in young children with autism spectrum disorders are task- and age-dependent : a smart tablet game approach. Brain Disorders, 5. 100032. ISSN 2666-4593 (https://doi.org/10.1016/j.dscb.2022.100032)

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Abstract

The motor system is becoming increasingly recognized as an important site of disruption in autism spectrum disorders (ASD). However, the precise nature of this motor disruption remains unclear with some conflicting reports. We employed a smart tablet serious game approach, which did not require verbal instruction. Children’s movements on the touch screen were recorded, and their kinematics computed from two games. One afforded goal-directed swipes, and the other free-style colouring. Children aged 25-79 months participated in this study, including 37 children with ASD and 45 typically developing (TD) children. Results revealed significant group, age, and task differences. In comparison to controls, children with ASD <5 years old performed faster goal-directed swipes, whereas those ≥5 years old performed slower goal-directed swipes. In contrast, during free-style drawing, children with ASD moved faster than the controls irrespective of age. Within the TD participants, the older subgroup (≥5 years) performed faster movements than the younger subgroup (<5 years) in both game contexts. However, the ASD older subgroup moved slower than their younger subgroup in the case of goal-directed swipes while no speed difference was observed in the case of free-style drawing. These findings reveal developmental differences in motor development in young children with ASD from their TD counterparts. Further, they demonstrate smart tablet gameplay can produce precise computational metrics of motor kinematics to characterize these differences deployable in schools, clinics and home settings for large-scale data collection for both research and clinical purposes that may ultimately enable accessible and scalable early detection of ASD.

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