Evidence map›Paper›PMID 34563223›Full record

ArticleJournal of neuroengineering and rehabilitation2021

Frequency-dependent force direction elucidates neural control of balance.

Kaymie Shiozawa, Jongwoo Lee, Marta Russo, Dagmar Sternad, Neville Hogan

Abstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
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  5. Explaining human motor coordination via the synergy expansion hypothesis.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. Article
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  9. Article
  10. Mechanical effects of canes on standing posture: beyond perceptual information.Journal of neuroengineering and rehabilitation · 2022
    Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Kaymie ShiozawaDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.ORCID 0000-0002-6155-8361
Jongwoo LeeDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA. jw127@mit.edu.ORCID 0000-0002-3434-0121
Marta RussoDepartment of Neurology, Tor Vergata Polyclinic and Laboratory of Neuromotor Physiology, Santa Lucia Foundation, Rome, Italy.ORCID 0000-0003-1020-7542
Dagmar SternadDepartment of Biology, Northeastern University, Boston, MA, 02115, USA.ORCID 0000-0001-9318-2920
Neville HoganDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.ORCID 0000-0001-5366-2145

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMaintaining upright posture is an unstable task that requires sophisticated neuro-muscular control. Humans use foot-ground interaction forces, characterized by point of application, magnitude, and direction to manage body accelerations. When analyzing the directions of the ground reaction forces of standing humans in the frequency domain, previous work found a consistent pattern in different frequency bands. To test whether this frequency-dependent behavior provided a distinctive signature of neural control or was a necessary consequence of biomechanics, this study simulated quiet standing and compared the results with human subject data.

methodsAiming to develop the simplest competent and neuromechanically justifiable dynamic model that could account for the pattern observed across multiple subjects, we first explored the minimum number of degrees of freedom required for the model. Then, we applied a well-established optimal control method that was parameterized to maximize physiologically-relevant insight to stabilize the balancing model.

resultsIf a standing human was modeled as a single inverted pendulum, no controller could reproduce the experimentally observed pattern. The simplest competent model that approximated a standing human was a double inverted pendulum with torque-actuated ankle and hip joints. A range of controller parameters could stabilize this model and reproduce the general trend observed in experimental data; this result seems to indicate a biomechanical constraint and not a consequence of control. However, details of the frequency-dependent pattern varied substantially across tested control parameter values. The set of parameters that best reproduced the human experimental results suggests that the control strategy employed by human subjects to maintain quiet standing was best described by minimal control effort with an emphasis on ankle torque.

conclusionsThe findings suggest that the frequency-dependent pattern of ground reaction forces observed in quiet standing conveys quantitative information about human control strategies. This study's method might be extended to investigate human neural control strategies in different contexts of balance, such as with an assistive device or in neurologically impaired subjects.

Indexed as

Mechanical PhenomenaModels, BiologicalAnkle JointBiomechanical PhenomenaHumansPostural BalanceStanding PositionBiomechanicsGround reaction forcesInverted pendulum modelsNeural controlPosture and balance

Identifiers

PMID34563223
PMCPMC8466643

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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.