Stable or able? Effect of virtual reality stimulation on static balance of post-stroke patients and healthy subjects.


Journal

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

Informations de publication

Date de publication:
Apr 2020
Historique:
received: 23 05 2019
revised: 13 11 2019
accepted: 01 01 2020
pubmed: 18 1 2020
medline: 29 8 2020
entrez: 18 1 2020
Statut: ppublish

Résumé

Over the last decades, virtual reality (VR) emerged as a potential tool for developing new rehabilitation treatments in neurological patients. However, despite the increasing number of studies, a clear comprehension about the impact of immersive VR-treatment on balance and posture is still scarce. In the present study, we aimed to investigate the effects of VR cues on balance performances of subjects affected by stroke, age-matched healthy subjects, and young healthy subjects. Fifteen patients with sub-acute stroke, fifteen healthy elderly subjects and fifteen healthy young adults took part in this study. All groups were immersed in a CAVE system on a stabilometric platform. The experiment consisted in fourteen trials: (i) ten VR trials, which differed in term of speed and movement direction; (ii) two-stabilometric static sessions, with opened and closed eyes (one at the start and one at the end of the experimental session). Results showed that VR trials increased the sway path length (representative of the body sway amplitudes), in young subjects. Elderly and patients showed less changes in postural sway during virtual reality stimulation than young group. These findings may suggest that a physiological postural performance is not simply evaluable assessing stability, but also assessing the ability of adapting body oscillations to the external stimuli.

Identifiants

pubmed: 31950897
pii: S0167-9457(19)30372-0
doi: 10.1016/j.humov.2020.102569
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

102569

Informations de copyright

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

Auteurs

Erika D'Antonio (E)

Department of Engineering, M3lab, University Niccolò Cusano, Rome, Italy. Electronic address: erika.dantonio@unicusano.it.

Gaetano Tieri (G)

SCNLab, IRCCS Santa Lucia Foundation, Rome, Italy; Virtual Reality Lab, University of Rome Unitelma Sapienza, Rome, Italy.

Fabrizio Patané (F)

Department of Engineering, M3lab, University Niccolò Cusano, Rome, Italy.

Giovanni Morone (G)

Clinical Laboratory of Experimental Neurorehabilitation, IRCCS Santa Lucia Foundation, Rome, Italy.

Marco Iosa (M)

Clinical Laboratory of Experimental Neurorehabilitation, IRCCS Santa Lucia Foundation, Rome, Italy.

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Classifications MeSH