Context-Specificity of Locomotor Learning Is Developed during Childhood

Dulce M. Mariscal, Erin V.L. Vasudevan, Laura A. Malone, Gelsy Torres-Oviedo, Amy J. Bastian

Research output: Contribution to journalArticlepeer-review

Abstract

Humans can perform complex movements with speed and agility in the face of constantly changing task demands. To accomplish this, motor plans are adapted to account for errors in our movements because of changes in our body (e.g., growth or injury) or in the environment (e.g., walking on sand vs ice). It has been suggested that adaptation that occurs in response to changes in the state of our body will generalize across different movement contexts and environments, whereas adaptation that occurs with alterations in the external environment will be context-specific. Here, we asked whether the ability to form generalizable versus contextspecific motor memories develops during childhood. We performed a cross-sectional study of context-specific locomotor adaptation in 35 children (3–18 years old) and 7 adults (19–31 years old). Subjects first adapted their gait and learned a new walking pattern on a split-belt treadmill, which has two belts that move each leg at a different speed. Then, subjects walked overground to assess the generalization of the adapted walking pattern across different environments. Our results show that the generalization of treadmill after-effects to overground walking decreases as subjects’ age increases, indicating that age and experience are critical factors regulating the specificity of motor learning. Our results suggest that although basic locomotor patterns are established by two years of age, brain networks required for context-specific locomotor learning are still being developed throughout youth.

Original languageEnglish (US)
Article numberENEURO.0369-21.2022
JournaleNeuro
Volume9
Issue number2
DOIs
StatePublished - Mar 1 2022

Keywords

  • development
  • generalization
  • kinematics
  • locomotion
  • motor adaptation
  • motor control

ASJC Scopus subject areas

  • General Neuroscience

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