Evidence map›Paper›PMID 33122783›Full record

ArticleScientific reports2020

Unilateral step training can drive faster learning of novel gait patterns.

Christine N Song, Jan Stenum, Kristan A Leech, Chloe K Keller, Ryan T Roemmich

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. 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.

Christine N SongCenter for Movement Studies, Kennedy Krieger Institute, 707 N Broadway, G-04, Baltimore, MD, 21205, USA.
Jan StenumCenter for Movement Studies, Kennedy Krieger Institute, 707 N Broadway, G-04, Baltimore, MD, 21205, USA.
Kristan A LeechDivision of Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, CA, 90033, USA.
Chloe K KellerCenter for Movement Studies, Kennedy Krieger Institute, 707 N Broadway, G-04, Baltimore, MD, 21205, USA.
Ryan T RoemmichCenter for Movement Studies, Kennedy Krieger Institute, 707 N Broadway, G-04, Baltimore, MD, 21205, USA. rroemmi1@jhmi.edu.

Funding

Sleep and Circadian Dysfunction, Brain and Neurobehavioral Development in AutismP50HD103538 · NICHD · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI Stewart H Mostofsky · 2020 to 2026
$9.9M
Leveraging energetics to improve gait rehabilitation after strokeR21AG059184 · NIA · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI ROEMMICH, RYAN THOMAS · 2018 to 2019
$445k
NIA NIH HHS R21 AG059184NIA NIH HHS R21AG059184NICHD NIH HHS P50 HD103538
6 · The paper itself

Abstract

Humans are capable of learning many new walking patterns. People have learned to snowshoe up mountains, racewalk marathons, and march in precise synchrony. But what is required to learn a new walking pattern? Here, we demonstrate that people can learn new walking patterns without actually walking. Through a series of experiments, we observe that stepping with only one leg can facilitate learning of an entirely new walking pattern (i.e., split-belt treadmill walking). We find that the nervous system learns from the relative speed difference between the legs-whether or not both legs are moving-and can transfer this learning to novel gaits. We also show that locomotor learning requires active movement: observing another person adapt their gait did not result in significantly faster learning. These findings reveal that people can learn new walking patterns without bilateral gait training, as stepping with one leg can facilitate adaptive learning that transfers to novel gait patterns.

Indexed as

AdultBiomechanical PhenomenaFemaleGaitHumansLearningMaleWalking

Identifiers

PMID33122783
PMCPMC7596053

What OpenQuestion holds

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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.