The effects of postural threat induced by a virtual environment on performance of a walking balance task.


Journal

Human movement science
ISSN: 1872-7646
Titre abrégé: Hum Mov Sci
Pays: Netherlands
ID NLM: 8300127

Informations de publication

Date de publication:
Dec 2020
Historique:
received: 30 08 2019
revised: 28 10 2020
accepted: 30 10 2020
pubmed: 18 11 2020
medline: 21 4 2021
entrez: 17 11 2020
Statut: ppublish

Résumé

Rapid motor learning may occur in situations where individuals perceive a threat if they do not perform a task well. This rapid motor learning may be facilitated by improved motor performance and, consequently, more errorless practice. As a first step towards understanding the role of perceived threat on rapid motor learning, the purpose of this study was to determine how performance of a motor task is affected in situations where perceived threat is high. We hypothesized that perceived threat in a virtual environment would result in improved performance of a walking task (i.e., walking on a narrow beam). Results demonstrated that increased perceived threat did not yield statistically significantly greater balance performance in the high-threat virtual environment (median percentage of successful steps: 78.8%, 48.3%, and 55.2% in the real low-threat, virtual low-threat, and virtual high-threat environments, respectively). These results may be partially attributed to habituation to threat over time and practice. If implemented carefully, virtual reality technology can be an effective tool for investigating walking balance in environments that are perceived as threatening.

Identifiants

pubmed: 33202316
pii: S0167-9457(20)30576-5
doi: 10.1016/j.humov.2020.102712
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

102712

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Auteurs

Amir Boroomand-Tehrani (A)

Toronto Rehabilitation Institute - University Health Network, Toronto, Ontario, Canada; Rehabilitation Sciences Institute, University of Toronto, Ontario, Canada.

Andrew H Huntley (AH)

Toronto Rehabilitation Institute - University Health Network, Toronto, Ontario, Canada.

David Jagroop (D)

Toronto Rehabilitation Institute - University Health Network, Toronto, Ontario, Canada.

Jennifer L Campos (JL)

Toronto Rehabilitation Institute - University Health Network, Toronto, Ontario, Canada; Department of Psychology, University of Toronto, Toronto, Ontario, Canada.

Kara K Patterson (KK)

Toronto Rehabilitation Institute - University Health Network, Toronto, Ontario, Canada; Rehabilitation Sciences Institute, University of Toronto, Ontario, Canada; Department of Physical Therapy, University of Toronto, Ontario, Canada.

Luc Tremblay (L)

Faculty of Kinesiology and Physical Education, University of Toronto, Ontario, Canada.

Avril Mansfield (A)

Toronto Rehabilitation Institute - University Health Network, Toronto, Ontario, Canada; Department of Physical Therapy, University of Toronto, Ontario, Canada; Evaluative Clinical Science, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada. Electronic address: avril.mansfield@uhn.ca.

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Classifications MeSH