Evidence map›Paper›PMID 32847596›Full record

ArticleJournal of neuroengineering and rehabilitation2020

Self-selected step length asymmetry is not explained by energy cost minimization in individuals with chronic stroke.

Thu M Nguyen, Rachel W Jackson, Yashar Aucie, Digna de Kam, Steven H Collins, Gelsy Torres-Oviedo

Open access · goldAbstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.3field-weighted citation impact, top 17% of its field
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.

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

13 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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  3. Review
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  5. Article
  6. Article
  7. Autonomous Control of Music to Retrain Walking After Stroke.Neurorehabilitation and neural repair · 2023
    Article
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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

6 authors at 2 institutions in 1 country.

Thu M NguyenDepartment of Mechanical Engineering, Stanford University, Stanford, USA.
Rachel W JacksonDepartment of Bioengineering, Stanford University, Stanford, USA.
Yashar AucieDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, USA.
Digna de KamDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, USA.
Steven H CollinsDepartment of Mechanical Engineering, Stanford University, Stanford, USA.
Gelsy Torres-OviedoDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, USA. gelsyto@pitt.edu.ORCID 0000-0003-2415-1033
Stanford University · USUniversity of Pittsburgh · US

Funding

VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JENNIFER S BRACH · 2004 to 2026
$28.6M
A computational approach for understanding locomotor learning post-strokeK01NS092785 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI TORRES-OVIEDO, GELSY · 2016 to 2018
$673k
American Heart Association AHA-15SDG25710041National Science Foundation CMMI-1734449National Science Foundation DGE - 1656518National Science Foundation IIS-1355716NIA NIH HHS P30 AG024827NINDS NIH HHS K01 NS092785
6 · The paper itself

Abstract

backgroundAsymmetric gait post-stroke is associated with decreased mobility, yet individuals with chronic stroke often self-select an asymmetric gait despite being capable of walking more symmetrically. The purpose of this study was to test whether self-selected asymmetry could be explained by energy cost minimization. We hypothesized that short-term deviations from self-selected asymmetry would result in increased metabolic energy consumption, despite being associated with long-term rehabilitation benefits. Other studies have found no difference in metabolic rate across different levels of enforced asymmetry among individuals with chronic stroke, but used methods that left some uncertainty to be resolved.

methodsIn this study, ten individuals with chronic stroke walked on a treadmill at participant-specific speeds while voluntarily altering step length asymmetry. We included only participants with clinically relevant self-selected asymmetry who were able to significantly alter asymmetry using visual biofeedback. Conditions included targeting zero asymmetry, self-selected asymmetry, and double the self-selected asymmetry. Participants were trained with the biofeedback system in one session, and data were collected in three subsequent sessions with repeated measures. Self-selected asymmetry was consistent across sessions. A similar protocol was conducted among unimpaired participants.

resultsParticipants with chronic stroke substantially altered step length asymmetry using biofeedback, but this did not affect metabolic rate (ANOVA, p = 0.68). In unimpaired participants, self-selected step length asymmetry was close to zero and corresponded to the lowest metabolic energy cost (ANOVA, p = 6e-4). While the symmetry of unimpaired gait may be the result of energy cost minimization, self-selected step length asymmetry in individuals with chronic stroke cannot be explained by a similar least-effort drive.

conclusionsInterventions that encourage changes in step length asymmetry by manipulating metabolic energy consumption may be effective because these therapies would not have to overcome a metabolic penalty for altering asymmetry.

Indexed as

AgedBiofeedback, PsychologyEnergy MetabolismFemaleGaitGait Disorders, NeurologicHumansMaleMiddle AgedStrokeAsymmetryBiofeedbackGaitMetabolic costStroke

Identifiers

PMID32847596
PMCPMC7450572
OpenAlexW3080375591

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.