Objective measurement of movement variability using wearable sensors predicts ASD outcomes in infants at high

Rujuta B Wilson1, Sitaram Vangala2, Rachel Reetzke3

  • 1UCLA Center for Autism Research and Treatment, Semel Institute for Neuroscience and Human Behavior, Los Angeles, California, USA.

Insights

Early motor differences in infants with autism spectrum disorder (ASD) show lower movement curvature. This novel measure can help predict ASD in toddlers as young as 18 months.

Area of Science:

  • Developmental Pediatrics
  • Neurodevelopmental Disorders
  • Movement Science

Background:

  • Early motor delays are common in autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD).
  • Identifying early, differentiating motor signs in infants at high risk for ASD and ADHD is crucial for timely intervention.
  • Quantitative movement variability analysis offers a promising avenue for detecting subtle motor differences.

Purpose of the Study:

  • To develop and validate a novel quantitative measure of movement variability, termed 'movement curvature,' for differentiating early motor signs.
  • To investigate if movement curvature can predict later ASD or ADHD concerns in infants.
  • To assess the efficacy of movement curvature in identifying infants with later ASD diagnoses.

Main Methods:

  • A wearable triaxial accelerometer was used to collect continuous motion data from infants at high and low likelihood for ASD and ADHD.
  • Movement curvature was calculated from motion data at 12, 18, 24, and 36 months of age.
  • Participants were categorized into ASD, ADHD concerns, and comparison groups at 36 months, and group differences in movement curvature were analyzed.

Main Results:

  • Infants later diagnosed with ASD exhibited significantly lower movement curvature at 18, 24, and 36 months compared to those with ADHD concerns or the comparison group.
  • Movement curvature significantly predicted ASD classification at 18, 24, and 36 months (AUC 0.66–0.71).
  • When adjusted for high ASD likelihood, movement curvature remained a significant predictor at 18 and 24 months (AUC 0.90).

Conclusions:

  • Lower movement curvature may serve as an early motor marker for infants who later receive an ASD diagnosis, detectable as early as 18 months.
  • Movement curvature shows potential as a predictive tool for identifying early motor differences associated with ASD.
  • This quantitative measure could enhance early identification and intervention strategies for infants at risk for neurodevelopmental disorders.

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