Lower local dynamic stability and invariable orbital stability in the activation of muscle synergies in response to accelerated walking speeds

Benio Kibushi, Shota Hagio, Toshio Moritani, Motoki Kouzaki

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

In order to achieve flexible and smooth walking, we must accomplish subtasks (e. g., loading response, forward propulsion or swing initiation) within a gait cycle. To evaluate subtasks within a gait cycle, the analysis of muscle synergies may be effective. In the case of walking, extracted sets of muscle synergies characterize muscle patterns that relate to the subtasks within a gait cycle. Although previous studies have reported that the muscle synergies of individuals with disorders reflect impairments, a way to investigate the instability in the activations of muscle synergies themselves has not been proposed. Thus, we investigated the local dynamic stability and orbital stability of activations of muscle synergies across various walking speeds using maximum Lyapunov exponents and maximum Floquet multipliers. We revealed that the local dynamic stability in the activations decreased with accelerated walking speeds. Contrary to the local dynamic stability, the orbital stability of the activations was almost constant across walking speeds. In addition, the increasing rates of maximum Lyapunov exponents were different among the muscle synergies. Therefore, the local dynamic stability in the activations might depend on the requirement of motor output related to the subtasks within a gait cycle. We concluded that the local dynamic stability in the activation of muscle synergies decrease as walking speed accelerates. On the other hand, the orbital stability is sustained across broad walking speeds.

Original languageEnglish
Article number485
JournalFrontiers in Human Neuroscience
Volume12
DOIs
Publication statusPublished - 2018 Dec 11
Externally publishedYes

Keywords

  • Central nervous system
  • Electromyography
  • Maximum floquet multipliers
  • Maximum lyapunov exponents
  • Motor control
  • Non-negative matrix factorization
  • Nonlinear analysis

ASJC Scopus subject areas

  • Neuropsychology and Physiological Psychology
  • Neurology
  • Psychiatry and Mental health
  • Biological Psychiatry
  • Behavioral Neuroscience

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