Motor Control Abnormalities in Autism Spectrum Disorder

Autism Spectrum Disorder (ASD) is characterised not only by social and communicative differences but also by a constellation of motor control abnormalities that can be apparent from infancy and persist throughout life. Children and adults on the spectrum often display atypical timing, sequencing and coordination of movements, reflecting alterations in the neural circuits that govern prospective control and sensorimotor integration. Common features include increased movement variability, reduced smoothness of gesture trajectories and difficulties in planning and executing goal-directed actions. Underlying mechanisms span atypical cortico-cerebellar communication, disrupted proprioceptive feedback and differences in neuromotor noise, which may hinder the fine regulation of force and movement dynamics. These motor signatures not only correlate with core diagnostic features but also influence everyday functions such as object manipulation, self-care and nonverbal communication. Advances in quantitative measurement and computational analysis are now enabling more objective and scalable assessments, offering prospects for early detection, personalised intervention and monitoring of treatment outcomes across diverse cultural and clinical settings.

Research from Nature Portfolio

Seminal work employing smart tablet gameplay with embedded inertial sensors has delineated a distinct motor signature in young children with ASD, characterised by greater contact forces, altered force distribution within gestures, and increased movement amplitude and speed. Another study combined kinematic and eye-tracking data in a structured imitation paradigm to develop machine-learning models that predict diagnostic status in adults, revealing that atypical movement imitation patterns and gaze behaviours can classify ASD with substantial accuracy. A further investigation proposed a quantitative biomarker by analysing continuous natural movement outputs using high-definition electromagnetic sensors, demonstrating clear differences between ASD and typical development and tracing age-related neurodevelopmental trajectories. These computational assays underscore the potential to complement traditional observational assessments and to capture the heterogeneity of motor profiles across the autism spectrum.

Motor Control Abnormalities in Autism Spectrum Disorder publication trend

The graph below shows the total number of articles in motor control abnormalities in autism spectrum disorder across all publications each year (not limited to Nature Index journals).

Technical terms

Kinematics: Study of motion parameters such as position, velocity and acceleration without regard to the forces that produce movement.

Proprioception: Sensory feedback mechanism that informs the central nervous system about limb position and movement.

Gesture kinematics: Quantitative analysis of the trajectory, timing and spatial characteristics of hand or arm movements.

Inertial movement sensors: Devices that record acceleration and angular velocity to track and quantify motion dynamics.

Machine-learning classification: Computational methods that identify patterns in data to predict categorical outcomes, such as diagnostic status.

References

1. A tablet-based game for the assessment of visual motor skills in autistic children. npj Digital Medicine (2023).
2. Virtual Reality Based Gaze-Sensitive Aiming Task Platform: Role of Attention Allocation in Task Performance for Individuals With Autism and Typically Developing Individuals. IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023).
3. Toward the Autism Motor Signature: Gesture patterns during smart tablet gameplay identify children with autism. Scientific Reports (2016).
4. Applying Machine Learning to Kinematic and Eye Movement Features of a Movement Imitation Task to Predict Autism Diagnosis. Scientific Reports (2020).
5. Atypical basic movement kinematics in autism spectrum conditions. Brain (2013).
6. A Biomarker Characterizing Neurodevelopment with applications in Autism. Scientific Reports (2018).