Evidence map›Paper›PMID 29344967›Full record

ArticleThe Journal of physiology2018

Predictive neuromechanical simulations indicate why walking performance declines with ageing.

Seungmoon Song, Hartmut Geyer

Abstract read
In one paragraph

Article in The Journal of physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

59 citing papers in PubMed.

  1. Article
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  4. Observational
  5. Review
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  10. Abnormal activity in the brainstem affects gait in a neuromusculoskeletal model.Journal of neuroengineering and rehabilitation · 2025
    Article
  11. Biomechanical models in the lower-limb exoskeletons development: a review.Journal of neuroengineering and rehabilitation · 2025
    Review
  12. Article
  13. Article
  14. Observational
  15. Observational
  16. Perturbation-based estimation of within-stride cycle metabolic cost.Journal of neuroengineering and rehabilitation · 2024
    Article
  17. Article
  18. Article
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  20. Impact of sole designs of offloading AFO on gait dynamics: a predictive neuromechanical simulation study.Proceedings of the ... IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics. IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics · 2024
    Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

Seungmoon SongThe Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, 15213, USA.ORCID 0000-0002-4358-5948
Hartmut GeyerThe Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, 15213, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

key pointsAlthough the natural decline in walking performance with ageing affects the quality of life of a growing elderly population, its physiological origins remain unknown. By using predictive neuromechanical simulations of human walking with age-related neuro-musculo-skeletal changes, we find evidence that the loss of muscle strength and muscle contraction speed dominantly contribute to the reduced walking economy and speed. The findings imply that focusing on recovering these muscular changes may be the only effective way to improve performance in elderly walking. More generally, the work is of interest for investigating the physiological causes of altered gait due to age, injury and disorders. ABSTRACT: Healthy elderly people walk slower and energetically less efficiently than young adults. This decline in walking performance lowers the quality of life for a growing ageing population, and understanding its physiological origin is critical for devising interventions that can delay or revert it. However, the origin of the decline in walking performance remains unknown, as ageing produces a range of physiological changes whose individual effects on gait are difficult to separate in experiments with human subjects. Here we use a predictive neuromechanical model to separately address the effects of common age-related changes to the skeletal, muscular and nervous systems. We find in computer simulations of this model that the combined changes produce gait consistent with elderly walking and that mainly the loss of muscle strength and mass reduces energy efficiency. In addition, we find that the slower preferred walking speed of elderly people emerges in the simulations when adapting to muscle fatigue, again mainly caused by muscle-related changes. The results suggest that a focus on recovering these muscular changes may be the only effective way to improve performance in elderly walking.

Indexed as

AgingComputer SimulationMuscle ContractionMuscle StrengthWalking SpeedAdultAgedAged, 80 and overBiomechanical PhenomenaEnergy MetabolismHumansMiddle AgedMuscle, SkeletalNerve NetYoung Adultelderly gaitmetabolic cost of transportmuscle atrophymuscle fatigueneuromechanical simulation

Identifiers

PMID29344967
PMCPMC5878225

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.