ArticleExperimental brain research2014
Visual control of trunk translation and orientation during locomotion.
Article in Experimental brain research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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.
The trial behind it
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Who cites it
11 citing papers in PubMed, 27 citations in OpenAlex.
- Trunk motion visual feedback during walking improves dynamic balance in older adults: Assessor blinded randomized controlled trial.Gait & posture · 2018Trial
- Vestibular and proprioceptive contributions to trunk stabilization differ across postural tasks and walking speeds.The Journal of experimental biology · 2026Article
- Foot placement control underlies stable locomotion across species.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Self-Motion Perception Influences Postural Sway More than Environmental Motion Perception.bioRxiv : the preprint server for biology · 2025Article
- Article
- Connectivity of the Cingulate Sulcus Visual Area (CSv) in Macaque Monkeys.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
- Can optical flow perturbations detect walking balance impairment in people with multiple sclerosis?PloS one · 2020Article
- Postural Changes During Exteroceptive Thin Plantar Stimulation: The Effect of Prolonged Use and Different Plantar Localizations.Frontiers in systems neuroscience · 2019Article
- Control of human gait stability through foot placement.Journal of the Royal Society, Interface · 2018Review
- Neural Control of Balance During Walking.Frontiers in physiology · 2018Article
- Vestibular Dysfunction after Subconcussive Head Impact.Journal of neurotrauma · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
Abstract
Previous studies have suggested distinct control of gait characteristics in the anterior-posterior (AP) and medial-lateral (ML) directions in response to visual input. Responses were larger to a ML visual stimulus, suggesting that vision plays a larger role in stabilizing gait in the ML direction. Here, we investigated responses of the trunk during locomotion to determine whether a similar direction dependence is observed. We hypothesized that translation of the trunk would show a similar ML dependence on vision, but that angular deviations of the trunk would show equivalent responses in all directions. Subjects stood or walked on a treadmill at 5 km/h while viewing a virtual wall of white triangles that moved in either the AP or ML direction according to a broadband input stimulus. Frequency response functions between the visual scene motion and trunk kinematics revealed that trunk translation gain was larger across all frequencies during walking compared with standing. Trunk orientation responses were not different from standing at very low frequencies; however, at high frequencies, trunk orientation gain was much higher during walking. Larger gains in response to ML visual scene motion were found for all trunk movements. Higher gains in the ML direction while walking suggest that visual feedback may contribute more to the stability of trunk movements in the ML direction. Vision modified trunk movement behavior on both a slow (translation) and fast (orientation) time scale suggesting a priority for minimizing angular deviations of the trunk. Overall, trunk responses to visual input were consistent with the theme that control of locomotion requires higher-level sensory input to maintain stability in the ML direction.
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Registered trials
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.