Evidence map›Paper›PMID 40033980›Full record

ArticleJournal of neurophysiology2025

Changes in gait asymmetry may be caused by adaptation of spinal reflexes.

Omar Refy, Owen Mo, Douglas J Weber, Hartmut Geyer

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Article in Journal of neurophysiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

5 · Who and what money

Authors and funding

4 authors.

Omar RefyPhysics Department, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States.ORCID 0000-0001-5832-134X
Owen MoLegged Systems Lab, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States.
Douglas J WeberMechanical Engineering Department, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States.ORCID 0000-0002-9782-3497
Hartmut GeyerMechanical Engineering Department, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In a recent human study, we found that adaptive changes in step length asymmetry (SLA) are correlated with similar changes in the H-reflex gains of the leg muscles during split-belt treadmill locomotion. Although this observation indicated a closer link between gait asymmetry and spinal reflex adaptation, it did not reveal their causal relationship. To better understand this relationship, here we use a neuromuscular model of human walking whose control relies primarily on spinal reflexes. Subjecting the model to split-belt treadmill locomotion with different combinations of belt speed and reflex gain patterns, we find that belt speed changes increase the variability in SLA but do not result in consistent SLA patterns as observed in human experiments, whereas reflex gain changes do. Furthermore, we find that the model produces SLA patterns similar to healthy adults when its reflex gains are adapted in a way similar to the H-reflex changes we observed in our previous study. The model also predicts SLA patterns similar to the ones observed for cerebellar degeneration patients when the reflexes do not adapt beyond a sudden dip at the time the ipsilateral belt speed is lowered. Our results suggest that SLA does not arise from imposing belt speed changes but requires the change of the reflex gains and that the dynamic adjustment of these gains may be an essential part of human gait control when encountering unexpected environmental changes such as uneven speed changes in split-belt treadmill locomotion.

Indexed as

Adaptation, PhysiologicalGaitH-ReflexReflexSpinal CordAdultFemaleHumansMaleModels, NeurologicalMuscle, SkeletalWalkingcomputational modelinggait adaptationneuromuscular modelspinal reflexsplit-belt

Identifiers

PMID40033980

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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.