Evidence map›Paper›PMID 35879393›Full record

ArticleScientific reports2022

Increased temporal stride variability contributes to impaired gait coordination after stroke.

Prakruti Patel, Diana Enzastiga, Agostina Casamento-Moran, Evangelos A Christou, Neha Lodha

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
  2. [Personalized lower-limb gait assessment method based on musculoskeletal modeling and machine learning].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2026
    Article
  3. Walking as a Window to the Brain: Redefining Gait in Neurology.Medical sciences (Basel, Switzerland) · 2026
    Review
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
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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

5 authors.

Prakruti PatelMovement Neuroscience and Rehabilitation Laboratory, Department of Health and Exercise Science, Colorado State University, Fort Collins, CO, 80523, USA.
Diana EnzastigaMovement Neuroscience and Rehabilitation Laboratory, Department of Health and Exercise Science, Colorado State University, Fort Collins, CO, 80523, USA.
Agostina Casamento-MoranDepartment of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA.
Evangelos A ChristouDepartment of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA.
Neha LodhaMovement Neuroscience and Rehabilitation Laboratory, Department of Health and Exercise Science, Colorado State University, Fort Collins, CO, 80523, USA. neha.lodha@colostate.edu.

Funding

Investigating cognitive-motor variability to predict driving performance in stroke survivors with MCIK01AG070327 · NIA · COLORADO STATE UNIVERSITY · PI LODHA, NEHA · 2021 to 2025
$705k
American Heart Association-American Stroke Association 14SDG20450151American Heart Association-American Stroke Association 827097NIH HHS K01AG070327
6 · The paper itself

Abstract

Heightened motor variability is a prominent impairment after stroke. During walking, stroke survivors show increased spatial and temporal variability; however, the functional implications of increased gait variability are not well understood. Here, we determine the effect of gait variability on the coordination between lower limbs during overground walking in stroke survivors. Ambulatory stroke survivors and controls walked at a preferred pace. We measured stride length and stride time variability, and accuracy and consistency of anti-phase gait coordination with phase coordination index (PCI). Stroke survivors showed increased stride length variability, stride time variability, and PCI compared with controls. Stride time variability but not stride length variability predicted 43% of the variance in PCI in the stroke group. Stride time variability emerged as a significant predictor of error and consistency of phase. Despite impaired spatial and temporal gait variability following stroke, increased temporal variability contributes to disrupted accuracy and consistency of gait coordination. We provide novel evidence that decline in gait coordination after stroke is associated with exacerbated stride time variability, but not stride length variability. Temporal gait variability may be a robust indicator of the decline in locomotor function and an ideal target for motor interventions that promote stable walking after stroke.

Indexed as

Gait Disorders, NeurologicStrokeStroke RehabilitationGaitHumansWalking

Identifiers

PMID35879393
PMCPMC9314431

What OpenQuestion holds

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Registered trials

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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.