Effects of simulated peripheral visual field loss on the static postural control in young healthy adults.


Journal

Gait & posture
ISSN: 1879-2219
Titre abrégé: Gait Posture
Pays: England
ID NLM: 9416830

Informations de publication

Date de publication:
05 2021
Historique:
received: 03 12 2019
revised: 08 02 2021
accepted: 05 03 2021
pubmed: 29 3 2021
medline: 30 7 2021
entrez: 28 3 2021
Statut: ppublish

Résumé

Integration of visual, vestibular, and proprioceptive sensations contributes to postural control. People with peripheral visual field loss have serious postural instability. However, the directional specificity of postural stability and sensory reweighting caused by gradual peripheral visual field loss remain unclear. What are the effects of peripheral visual field loss on static postural control? Fifteen healthy young adults participated in this study. The participants were asked to stand quietly on a foam surface. Three conditions of virtual visual field loss (90°, 45°, and 15°) were provided by a head-mounted display, and ground reaction forces were collected using a force plate to calculate the displacements of the center of pressure (COP). The root mean square (RMS), mean velocity, and 95% ellipse area of COP displacements in the horizontal plane increased, and RMS in the anteroposterior (AP) direction was unchanged under the smallest visual field condition compared to the largest one. The power spectrum density of COP displacements in the low-frequency band was decreased and that in the medium-frequency band was increased in the AP direction. During quiet standing of young healthy adults with peripheral visual field loss, increased peripheral visual field loss resulted in lower postural stability. Postural stability in the AP direction was maintained contrary to the functional sensitivity hypothesis. Peripheral visual field loss reduced the weighting of the visual input and increased that of the vestibular input in the AP direction to maintain equilibrium.

Sections du résumé

BACKGROUND
Integration of visual, vestibular, and proprioceptive sensations contributes to postural control. People with peripheral visual field loss have serious postural instability. However, the directional specificity of postural stability and sensory reweighting caused by gradual peripheral visual field loss remain unclear.
RESEARCH QUESTION
What are the effects of peripheral visual field loss on static postural control?
METHODS
Fifteen healthy young adults participated in this study. The participants were asked to stand quietly on a foam surface. Three conditions of virtual visual field loss (90°, 45°, and 15°) were provided by a head-mounted display, and ground reaction forces were collected using a force plate to calculate the displacements of the center of pressure (COP).
RESULTS
The root mean square (RMS), mean velocity, and 95% ellipse area of COP displacements in the horizontal plane increased, and RMS in the anteroposterior (AP) direction was unchanged under the smallest visual field condition compared to the largest one. The power spectrum density of COP displacements in the low-frequency band was decreased and that in the medium-frequency band was increased in the AP direction.
SIGNIFICANCE
During quiet standing of young healthy adults with peripheral visual field loss, increased peripheral visual field loss resulted in lower postural stability. Postural stability in the AP direction was maintained contrary to the functional sensitivity hypothesis. Peripheral visual field loss reduced the weighting of the visual input and increased that of the vestibular input in the AP direction to maintain equilibrium.

Identifiants

pubmed: 33774584
pii: S0966-6362(21)00096-5
doi: 10.1016/j.gaitpost.2021.03.011
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

233-239

Informations de copyright

Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.

Auteurs

Kenji Taneda (K)

Graduate School of Health Sciences, Hokkaido University, Japan. Electronic address: tane.da34@gmail.com.

Hiroki Mani (H)

Faculty of Health Sciences, Hokkaido University, Japan. Electronic address: mani-hiroki@oita-u.ac.jp.

Norio Kato (N)

Faculty of Health Sciences, Hokkaido University of Science, Japan. Electronic address: kato-n@hus.ac.jp.

Shunsuke Komizunai (S)

Graduate School of Information Science and Technology, Hokkaido University, Japan. Electronic address: komizunai@ssi.ist.hokudai.ac.jp.

Keita Ishikawa (K)

Graduate School of Health Sciences, Hokkaido University, Japan. Electronic address: inikeita090807141@gmail.com.

Takashi Maruya (T)

Graduate School of Health Sciences, Hokkaido University, Japan. Electronic address: t-mry@yacht.ocn.ne.jp.

Naoya Hasegawa (N)

Faculty of Health Sciences, Hokkaido University, Japan. Electronic address: n_hasegawa@hs.hokudai.ac.jp.

Yasuyuki Takamatsu (Y)

Faculty of Health Sciences, Hokkaido University, Japan. Electronic address: takamatsu@hs.hokudai.ac.jp.

Tadayoshi Asaka (T)

Faculty of Health Sciences, Hokkaido University, Japan. Electronic address: ask-chu@hs.hokudai.ac.jp.

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