Evidence map›Paper›PMID 42049473›Full record

ArticleThe Laryngoscope2026

Multi-Task Assessment of Context-Specific Gait Changes to Virtual Reality-Based Visual Perturbations.

Catherine Gbekie, Siddharth Bhardwaj, Hana Ro, Anil K Lalwani, Sunil K Agrawal

Abstract read
In one paragraph

Article in The Laryngoscope, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Catherine GbekieDepartment of Otolaryngology-Head and Neck Surgery, Columbia University Vagelos College of Physicians and Surgeons, New York-Presbyterian/Columbia University Irving Medical Center, New York, New York, USA.ORCID https://orcid.org/0000-0002-1684-0552
Siddharth BhardwajDepartment of Mechanical Engineering, Fu Foundation School of Engineering and Applied Science, Columbia University, New York, New York, USA.
Hana RoDepartment of Mechanical Engineering, Fu Foundation School of Engineering and Applied Science, Columbia University, New York, New York, USA.
Anil K LalwaniDepartment of Otolaryngology-Head and Neck Surgery, Columbia University Vagelos College of Physicians and Surgeons, New York-Presbyterian/Columbia University Irving Medical Center, New York, New York, USA.ORCID https://orcid.org/0000-0002-3823-3470
Sunil K AgrawalDepartment of Mechanical Engineering, Fu Foundation School of Engineering and Applied Science, Columbia University, New York, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveConventional gait assessments often fail to detect early, subclinical balance abnormalities that may become apparent under sensory conflict, such as visual perturbations. We investigated whether instrumented gait analysis combined with virtual reality (VR)-delivered visual perturbations can reveal task-dependent gait adaptations in healthy adults exposed to discordant sensory information.

methodsTen healthy adults completed a purpose-designed battery of 10 walking tasks spanning steady-state and balance-challenging conditions (e.g., tandem gait, obstacle negotiation, Timed Up and Go) on an instrumented walkway under four visual conditions: no virtual reality, unperturbed VR, optic flow-perturbed VR, and flickering light-perturbed VR. Spatiotemporal gait parameters were quantified to assess task- and condition-specific changes in dynamic gait control.

resultsVisual perturbations elicited task-dependent gait adaptations rather than uniform effects across the battery. Compared to unperturbed walking, optic flow was associated with selective increases in stride width during tasks involving rapid reorientation and rotational head movements, including pivot turning (0.10 vs. 0.06, p = 0.045) and horizontal head turns (0.12 vs. 0.08, p = 0.027). Temporal and spatial gait variability increased during tandem gait under optic flow (step time variability: 32.23 vs. 12.75, p = 0.036; stride length variability: 27.96 vs. 8.08, p = 0.041), reflecting impaired cycle-to-cycle consistency under heightened precision demands.

conclusionVR-delivered visual perturbations revealed task-specific alterations in mediolateral stability, temporal consistency, and spatial gait scaling that were absent during unperturbed walking. A multi-task, perturbation-based assessment framework may therefore enhance sensitivity to subtle gait instability by exposing context-dependent limits of balance control. LEVEL OF EVIDENCE: 3:

Indexed as

GaitGait AnalysisPostural BalanceVirtual RealityAdaptation, PhysiologicalAdultBiomechanical PhenomenaFemaleHumansMaleWalkingYoung Adultbalance controlgait analysissensory reweightingvirtual realityvisual perturbation

Identifiers

PMID42049473
PMCPMC13569674

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.