Gait Speed Modulations Are Proportional to Grades of Virtual Visual Slopes-A Virtual Reality Study.

gait speed rod and frame subjective visual vertical uphill and downhill locomotion virtual reality visual-physical conflict processing

Journal

Frontiers in neurology
ISSN: 1664-2295
Titre abrégé: Front Neurol
Pays: Switzerland
ID NLM: 101546899

Informations de publication

Date de publication:
2021
Historique:
received: 08 10 2020
accepted: 14 07 2021
entrez: 13 9 2021
pubmed: 14 9 2021
medline: 14 9 2021
Statut: epublish

Résumé

Gait is a complex mechanism relying on integration of several sensory inputs such as vestibular, proprioceptive, and visual cues to maintain stability while walking. Often humans adapt their gait to changes in surface inclinations, and this is typically achieved by modulating walking speed according to the inclination in order to counteract the gravitational forces, either uphill (exertion effect) or downhill (braking effect). The contribution of vision to these speed modulations is not fully understood. Here we assessed gait speed effects by parametrically manipulating the discrepancy between virtual visual inclination and the actual surface inclination (aka visual incongruence). Fifteen healthy participants walked in a large-scale virtual reality (VR) system on a self-paced treadmill synchronized with projected visual scenes. During walking they were randomly exposed to varying degrees of physical-visual incongruence inclinations (e.g., treadmill leveled & visual scene uphill) in a wide range of inclinations (-15° to +15°). We observed an approximately linear relation between the relative change in gait speed and the anticipated gravitational forces associated with the virtual inclinations. Mean relative gait speed increase of ~7%, ~11%, and ~17% were measured for virtual inclinations of +5°, +10°, and +15°, respectively (anticipated decelerating forces were proportional to sin[5°], sin[10°], sin[15°]). The same pattern was seen for downhill virtual inclinations with relative gait speed modulations of ~-10%, ~-16%, and ~-24% for inclinations of -5°, -10°, and -15°, respectively (in anticipation of accelerating forces). Furthermore, we observed that the magnitude of speed modulation following virtual inclination at ±10° was associated with subjective visual verticality misperception. In conclusion, visual cues modulate gait speed when surface inclinations change proportional to the anticipated effect of the gravitational force associated the inclinations. Our results emphasize the contribution of vision to locomotion in a dynamic environment and may enhance personalized rehabilitation strategies for gait speed modulations in neurological patients with gait impairments.

Identifiants

pubmed: 34512493
doi: 10.3389/fneur.2021.615242
pmc: PMC8425350
doi:

Types de publication

Journal Article

Langues

eng

Pagination

615242

Informations de copyright

Copyright © 2021 Benady, Zadik, Zeilig, Gilaie-Dotan and Plotnik.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Amit Benady (A)

Center of Advanced Technologies in Rehabilitation, Sheba Medical Center, Ramat Gan, Israel.
School of Optometry and Vision Science, Bar Ilan University, Ramat Gan, Israel.
The Gonda Multidisciplinary Brain Research Center, Bar Ilan University, Ramat Gan, Israel.

Sean Zadik (S)

Center of Advanced Technologies in Rehabilitation, Sheba Medical Center, Ramat Gan, Israel.

Gabriel Zeilig (G)

Department of Neurological Rehabilitation, Sheba Medical Center, Ramat Gan, Israel.
Department of Physical and Rehabilitation Medicine, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
School of Health Professions, Ono Academic College, Kiryat Ono, Israel.

Sharon Gilaie-Dotan (S)

School of Optometry and Vision Science, Bar Ilan University, Ramat Gan, Israel.
The Gonda Multidisciplinary Brain Research Center, Bar Ilan University, Ramat Gan, Israel.
UCL Institute of Cognitive Neuroscience, London, United Kingdom.

Meir Plotnik (M)

Center of Advanced Technologies in Rehabilitation, Sheba Medical Center, Ramat Gan, Israel.
Department of Physiology and Pharmacology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
The Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.

Classifications MeSH