Local dynamic stability in temporal pattern of intersegmental coordination during various stride time and stride length combinations

Kibushi, Benio; Moritani, Toshio; Kouzaki, Motoki

doi:10.1007/s00221-018-5422-0

Cited by 11 publications

(4 citation statements)

References 60 publications

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“…Historically, the sMLE have been used to give information about the behavior of chaotic dynamical systems (Dingwell and Cusumano, 2000;Ekizos et al, , 2017Kibushi et al, 2018;. In this study, we described the local stability and complexity of modular motor control in humans by calculating the sMLE and HFD of motor primitives (i.e., the time-dependent coefficients of muscle synergies) during locomotion (walking and running) overground and on a treadmill, with or without external perturbations and in aging.…”

Section: Discussionmentioning

confidence: 99%

Neuromotor Dynamics of Human Locomotion in Challenging Settings

et al. 2020

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Is the control of movement less stable when we walk or run in challenging settings? Intuitively, one might answer that it is, given that challenging locomotion externally (e.g., rough terrain) or internally (e.g., age-related impairments) makes our movements more unstable. Here, we investigated how young and old humans synergistically activate muscles during locomotion when different perturbation levels are introduced. Of these control signals, called muscle synergies, we analyzed the local stability and the complexity (or irregularity) over time. Surprisingly, we found that perturbations force the central nervous system to produce muscle activation patterns that are less unstable and less complex. These outcomes show that robust locomotion control in challenging settings is achieved by producing less complex control signals that are more stable over time, whereas easier tasks allow for more unstable and irregular control.

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Section: Discussionmentioning

confidence: 99%

Neuromotor Dynamics of Human Locomotion in Challenging Settings

et al. 2020

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“…Yet, whether different levels of robustness imply different stability of neural control is a question that does not find intuitive answers. Historically, MLE have been used to give information about the behavior of chaotic dynamical systems (7,11,20,33,34). In this study, we described the stability of modular motor 10 control in humans by calculating the MLE of motor primitives (i.e.…”

Section: Discussionmentioning

confidence: 99%

Humans exploit robust locomotion by improving the stability of control signals

Santuz

Brüll

Ekizos

et al. 2019

Preprint

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Is the control of movement less stable when we walk or run in challenging settings? One might intuitively answer affirmatively, given that adding constraints to locomotion (e.g. rough terrain, age-related impairments, etc.) imply less stable movements. We investigated how young and old humans synergistically activate muscles during locomotion, when different perturbation levels 20 are introduced. Of these control signals, called muscle synergies, we then analyzed the stability over time. Surprisingly, we found that perturbations and older age force the central nervous system to produce more stable signals. These outcomes show that robust locomotion in challenging settings is achieved by increasing the stability of control signals, whereas easier tasks allow for more unstable control. 25

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“…One of the possible reasons may be the decrease in the proportion of stance phase (the earlier phase in this case) and the increase in the proportion of swing phase (the later phase) as the walking speed increases [52]. This would be generated from the faster flexion/extension of the three joints as illustrated such as in [53,54]. We also discuss this point further below.…”

Section: Dmd (Koopman) Eigenvaluesmentioning

confidence: 99%