Evidence map›Paper›PMID 32038123›Full record

ArticleFrontiers in neuroscience2019

Seeing Gravity: Gait Adaptations to Visual and Physical Inclines - A Virtual Reality Study.

Desiderio Cano Porras, Gabriel Zeilig, Glen M Doniger, Yotam Bahat, Rivka Inzelberg, Meir Plotnik

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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  7. Assessment of Wheelchair Propulsion Performance in an Immersive Virtual Reality Simulator.International journal of environmental research and public health · 2021
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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.

Desiderio Cano PorrasCenter of Advanced Technologies in Rehabilitation, Sheba Medical Center, Ramat Gan, Israel.
Gabriel ZeiligDepartment of Neurological Rehabilitation, Sheba Medical Center, Ramat Gan, Israel.
Glen M DonigerCenter of Advanced Technologies in Rehabilitation, Sheba Medical Center, Ramat Gan, Israel.
Yotam BahatCenter of Advanced Technologies in Rehabilitation, Sheba Medical Center, Ramat Gan, Israel.
Rivka InzelbergSagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.
Meir PlotnikCenter of Advanced Technologies in Rehabilitation, Sheba Medical Center, Ramat Gan, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using advanced virtual reality technology, we demonstrate that exposure to virtual inclinations visually simulating inclined walking induces gait modulations in a manner consistent with expected gravitational forces (i.e., acting upon a free body), suggesting vision-based perception of gravity. The force of gravity critically impacts the regulation of our movements. However, how humans perceive and incorporate gravity into locomotion is not well understood. In this study, we introduce a novel paradigm for exposing humans to incongruent sensory information under conditions constrained by distinct gravitational effects, facilitating analysis of the consistency of human locomotion with expected gravitational forces. Young healthy adults walked under conditions of actual physical inclinations as well as virtual inclinations. We identify and describe 'braking' and 'exertion' effects - locomotor adaptations accommodating gravito-inertial forces associated with physical inclines. We show that purely visual cues (from virtual inclinations) induce consistent locomotor adaptations to counter expected gravity-based changes, consistent with

Indexed as

gravitylocomotionmultisensory integrationperception and actionsensorimotor integrationvirtual realityvision

Identifiers

PMID32038123
PMCPMC6992711

What OpenQuestion holds

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LicenceCC BY
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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.