Muscle Synergies in Children Walking and Running on a Treadmill

Margit M Bach1, Andreas Daffertshofer1, Nadia Dominici1

  • 1Department of Human Movement Sciences, Faculty of Behavioural and Movement Sciences, Amsterdam Movement Sciences & Institute for Brain and Behavior Amsterdam, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.

Insights

As children learn to run, the number of muscle synergies increases, supporting motor learning. This contrasts with adults, who use fewer synergies for efficient locomotion.

Area of Science:

  • Motor control and development
  • Biomechanics of locomotion
  • Neuroscience of movement

Background:

  • Muscle synergies are neural control mechanisms simplifying complex movements like walking and running.
  • Understanding how muscle synergies develop is crucial for comprehending motor learning in children.

Purpose of the Study:

  • To investigate the developmental changes in muscle synergies during the acquisition of running in children.
  • To test the hypothesis that the number of muscle synergies increases with age and that their temporal activity shifts.

Main Methods:

  • Recorded muscle activity, ground reaction forces, and kinematics in 23 children (2-9 years) and 7 adults during walking and running.
  • Utilized muscle synergy analysis to quantify neural control patterns.
  • Compared synergy numbers and temporal characteristics across age groups and locomotor conditions.

Main Results:

  • Children aged 2-6.5 years employed a 'walk-run strategy' combining double support and flight phases.
  • The number of muscle synergies generally increased with age, being lowest in toddlers and adults.
  • No significant age-related differences were found in the timing or duration of synergies, contrary to expectations.

Conclusions:

  • The increase in muscle synergies during childhood running acquisition reflects motor learning and exploration.
  • The ability to achieve a flight phase during running is associated with a higher number of muscle synergies.
  • Adults exhibit a more refined, lower-synergy control strategy for efficient running.

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