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Virtual Footprints Can Improve Walking Performance in People With Parkinson's Disease
In Parkinson's disease (PD) self-directed movement, such as walking, is often found to be impaired while goal directed movement, such as catching a ball, stays relatively unaltered. This dichotomy is most clearly observed when sensory cueing techniques are used to deliver patterns of sound and/...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6107758/ https://www.ncbi.nlm.nih.gov/pubmed/30174648 http://dx.doi.org/10.3389/fneur.2018.00681 |
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author | Gómez-Jordana, Luis I. Stafford, James Peper, C. (Lieke) E. Craig, Cathy M. |
author_facet | Gómez-Jordana, Luis I. Stafford, James Peper, C. (Lieke) E. Craig, Cathy M. |
author_sort | Gómez-Jordana, Luis I. |
collection | PubMed |
description | In Parkinson's disease (PD) self-directed movement, such as walking, is often found to be impaired while goal directed movement, such as catching a ball, stays relatively unaltered. This dichotomy is most clearly observed when sensory cueing techniques are used to deliver patterns of sound and/or light which in turn act as an external guide that improves gait performance. In this study we developed visual cues that could be presented in an immersive, interactive virtual reality (VR) environment. By controlling how the visual cues (black footprints) were presented, we created different forms of spatial and temporal information. By presenting the black footprints at a pre-specified distance apart we could recreate different step lengths (spatial cues) and by controlling when the black footprints changed color to red, we could convey information about the timing of the foot placement (temporal cues). A group of healthy controls (HC; N = 10) and a group of idiopathic PD patients (PD, N = 12) were asked to walk using visual cues that were tailored to their own gait performance [two spatial conditions (115% [N] and 130% [L] of an individual's baseline step length) and three different temporal conditions (spatial only condition [NT], 100 and 125% baseline step cadence)]. Both groups were found to be able to match their gait performance (step length and step cadence) to the information presented in all the visual cue conditions apart from the 125% step cadence conditions. In all conditions the PD group showed reduced levels of gait variability (p < 0.05) while the HC group did not decrease. For step velocity there was a significant increase in the temporal conditions, the spatial conditions and of the interaction between the two for both groups of participants (p < 0.05). The coefficient of variation of step length, cadence, and velocity were all significantly reduced for the PD group compared to the HC group. In conclusion, our results show how virtual footsteps presented in an immersive, interactive VR environment can significantly improve gait performance in participants with Parkinson's disease. |
format | Online Article Text |
id | pubmed-6107758 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-61077582018-08-31 Virtual Footprints Can Improve Walking Performance in People With Parkinson's Disease Gómez-Jordana, Luis I. Stafford, James Peper, C. (Lieke) E. Craig, Cathy M. Front Neurol Neurology In Parkinson's disease (PD) self-directed movement, such as walking, is often found to be impaired while goal directed movement, such as catching a ball, stays relatively unaltered. This dichotomy is most clearly observed when sensory cueing techniques are used to deliver patterns of sound and/or light which in turn act as an external guide that improves gait performance. In this study we developed visual cues that could be presented in an immersive, interactive virtual reality (VR) environment. By controlling how the visual cues (black footprints) were presented, we created different forms of spatial and temporal information. By presenting the black footprints at a pre-specified distance apart we could recreate different step lengths (spatial cues) and by controlling when the black footprints changed color to red, we could convey information about the timing of the foot placement (temporal cues). A group of healthy controls (HC; N = 10) and a group of idiopathic PD patients (PD, N = 12) were asked to walk using visual cues that were tailored to their own gait performance [two spatial conditions (115% [N] and 130% [L] of an individual's baseline step length) and three different temporal conditions (spatial only condition [NT], 100 and 125% baseline step cadence)]. Both groups were found to be able to match their gait performance (step length and step cadence) to the information presented in all the visual cue conditions apart from the 125% step cadence conditions. In all conditions the PD group showed reduced levels of gait variability (p < 0.05) while the HC group did not decrease. For step velocity there was a significant increase in the temporal conditions, the spatial conditions and of the interaction between the two for both groups of participants (p < 0.05). The coefficient of variation of step length, cadence, and velocity were all significantly reduced for the PD group compared to the HC group. In conclusion, our results show how virtual footsteps presented in an immersive, interactive VR environment can significantly improve gait performance in participants with Parkinson's disease. Frontiers Media S.A. 2018-08-17 /pmc/articles/PMC6107758/ /pubmed/30174648 http://dx.doi.org/10.3389/fneur.2018.00681 Text en Copyright © 2018 Gómez-Jordana, Stafford, Peper and Craig. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neurology Gómez-Jordana, Luis I. Stafford, James Peper, C. (Lieke) E. Craig, Cathy M. Virtual Footprints Can Improve Walking Performance in People With Parkinson's Disease |
title | Virtual Footprints Can Improve Walking Performance in People With Parkinson's Disease |
title_full | Virtual Footprints Can Improve Walking Performance in People With Parkinson's Disease |
title_fullStr | Virtual Footprints Can Improve Walking Performance in People With Parkinson's Disease |
title_full_unstemmed | Virtual Footprints Can Improve Walking Performance in People With Parkinson's Disease |
title_short | Virtual Footprints Can Improve Walking Performance in People With Parkinson's Disease |
title_sort | virtual footprints can improve walking performance in people with parkinson's disease |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6107758/ https://www.ncbi.nlm.nih.gov/pubmed/30174648 http://dx.doi.org/10.3389/fneur.2018.00681 |
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