Evidence map›Paper›PMID 32527966›Full record

ArticleThe Journal of experimental biology2020

To walk or to run - a question of movement attractor stability.

Peter C Raffalt, Jenny A Kent, Shane R Wurdeman, Nick Stergiou

Abstract read
In one paragraph

Article in The Journal of experimental biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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.

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

9 citing papers in PubMed.

  1. Article
  2. Article
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  4. Review
  5. Article
  6. Article
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  8. Article
  9. Observational
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

4 authors.

Peter C RaffaltDepartment of Physical Performance, Norwegian School of Sport Sciences, Sognsveien 220, 0806 Oslo, Norway.
Jenny A KentDepartment of Biomechanics and Center for Research in Human Movement Variability, University of Nebraska at Omaha, 6160 University Drive, Omaha, NE 68182-0860, USA.
Shane R WurdemanDepartment of Biomechanics and Center for Research in Human Movement Variability, University of Nebraska at Omaha, 6160 University Drive, Omaha, NE 68182-0860, USA.
Nick StergiouDepartment of Biomechanics and Center for Research in Human Movement Variability, University of Nebraska at Omaha, 6160 University Drive, Omaha, NE 68182-0860, USA nstergiou@unomaha.edu.ORCID 0000-0002-9737-9939

Funding

Visual control of locomotion in people with Parkinsons diseaseP20GM109090 · NIGMS · UNIVERSITY OF NEBRASKA OMAHA · PI STERGIOU, NIKOLAOS · 2014 to 2023
$20.5M
Enhancing the prosthetic interface: 1/f vibrotactile socket stimulation to improve the adaptability of trans-tibial amputeesR15HD086828 · NICHD · UNIVERSITY OF NEBRASKA OMAHA · PI STERGIOU, NIKOLAOS · 2015 to 2015
$425k
NICHD NIH HHS R15 HD086828NIGMS NIH HHS P20 GM109090
6 · The paper itself

Abstract

During locomotion, humans change gait mode between walking and running as locomotion speed is either increased or decreased. Dynamical systems theory predicts that the self-organization of coordinated motor behaviors dictates the transition from one distinct stable attractor behavior to another distinct attractor behavior (e.g. walk to run or vice versa) as the speed is changed. To evaluate this prediction, the present study investigated the attractor stability of walking and running across a range of speeds evoking both self-selected gait mode and non-self-selected gait mode. Eleven subjects completed treadmill walking for 3 min at 0.89, 1.12, 1.34, 1.56, 1.79, 2.01, 2.24 and 2.46 m s

Indexed as

GaitWalkingAnkle JointBiomechanical PhenomenaHumansKnee JointCoordinationDynamical system theoryDynamicsGaitLocomotion

Identifiers

PMID32527966
PMCPMC7338268

What OpenQuestion holds

Textmetadata
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.