Daily Quantity and Kinematic Characteristics of Leg Movement in a Child With SMA (2 Copies SMN2)

Melissa McIntyre1, Lauren Dunn, Jed David

  • 1Department of Pediatrics (Dr McIntyre), University of Utah, Salt Lake City, Utah; Department of Rehabilitation Services (Dr Dunn and Mr David), Children's Hospital Los Angeles, Los Angeles, California; Developmental Neuroscience and Neurogenetics Program (Dr Smith), The Saban Research Institute, Division of Developmental-Behavioral Pediatrics, Children's Hospital Los Angeles, Los Angeles, California; Department of Pediatrics (Dr Smith), Keck School of Medicine, University of Southern California, Los Angeles, California.

Insights

Wearable sensors revealed distinct leg movement patterns in a child with spinal muscular atrophy (SMA) compared to typically developing infants. These findings highlight the potential of sensor technology for assessing motor function in SMA.

Area of Science:

  • Biomedical Engineering
  • Neurology
  • Pediatrics

Background:

  • Spinal muscular atrophy (SMA) is a genetic neuromuscular disorder affecting motor neurons.
  • Disease-modifying therapies are improving outcomes for children with SMA.
  • Objective assessment of motor function is crucial for tracking disease progression and treatment efficacy.

Observation:

  • This case report details the use of wearable sensors to quantify daily leg movement in a child with SMA (2 copies of SMN2) receiving treatment.
  • Movement quantity and kinematic characteristics, including duration, average acceleration, and peak acceleration, were measured over full days in a natural environment.
  • The child's movement parameters differed significantly from published data on infants with typical development.

Findings:

  • Wearable sensors captured unique movement quantity and kinematic data in a treated infant with SMA.
  • These parameters were consistently different from those observed in typically developing infants.
  • Movement quantity and clinician-rated outcomes showed an increase with age.

Implications:

  • Wearable sensor data can provide complementary information to traditional assessments of motor function in SMA.
  • This technology holds potential for objective, sensitive monitoring of motor development in children with SMA.
  • Further longitudinal studies are warranted to validate wearable sensors as an assessment tool and early predictor of motor outcomes in SMA.
Abstract