Immersive Virtual Reality to Restore Natural Long-Range Autocorrelations in Parkinson’s Disease Patients’ Gait During Treadmill Walking
Effects of treadmill walking on Parkinson’s disease (PD) patients’ spatiotemporal gait parameters and stride duration variability, in terms of magnitude [coefficient of variation (CV)] and temporal organization [long range autocorrelations (LRA)], are known. Conversely, effects on PD gait of adding...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2020-09-01
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| Series: | Frontiers in Physiology |
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| Online Access: | https://www.frontiersin.org/article/10.3389/fphys.2020.572063/full |
| _version_ | 1828554192394911744 |
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| author | Alexis Lheureux Alexis Lheureux Julien Lebleu Caroline Frisque Corentin Sion Gaëtan Stoquart Gaëtan Stoquart Thibault Warlop Christine Detrembleur Thierry Lejeune Thierry Lejeune |
| author_facet | Alexis Lheureux Alexis Lheureux Julien Lebleu Caroline Frisque Corentin Sion Gaëtan Stoquart Gaëtan Stoquart Thibault Warlop Christine Detrembleur Thierry Lejeune Thierry Lejeune |
| author_sort | Alexis Lheureux |
| collection | DOAJ |
| description | Effects of treadmill walking on Parkinson’s disease (PD) patients’ spatiotemporal gait parameters and stride duration variability, in terms of magnitude [coefficient of variation (CV)] and temporal organization [long range autocorrelations (LRA)], are known. Conversely, effects on PD gait of adding an optic flow during treadmill walking using a virtual reality headset, to get closer to an ecological walk, is unknown. This pilot study aimed to compare PD gait during three conditions: Overground Walking (OW), Treadmill Walking (TW), and immersive Virtual Reality on Treadmill Walking (iVRTW). Ten PD patients completed the three conditions at a comfortable speed. iVRTW consisted in walking at the same speed as TW while wearing a virtual reality headset reproducing an optic flow. Gait parameters assessed were: speed, step length, cadence, magnitude (CV) and temporal organization (evenly spaced averaged Detrended Fluctuation Analysis, α exponent) of stride duration variability. Motion sickness was assessed after TW and iVRTW using the Simulator Sickness Questionnaire (SSQ). Step length was greater (p = 0.008) and cadence lower (p = 0.009) during iVRTW compared to TW while CV was similar (p = 0.177). α exponent was similar during OW (0.77 ± 0.07) and iVRTW (0.76 ± 0.09) (p = 0.553). During TW, α exponent (0.85 ± 0.07) was higher than during OW (p = 0.039) and iVRTW (p = 0.016). SSQ was similar between TW and iVRTW (p = 0.809). iVRTW is tolerable, could optimize TW effects on spatiotemporal parameters while not increasing CV in PD. Furthermore, iVRTW could help to capture the natural LRA of PD gait in laboratory settings and could potentially be a challenging second step in PD gait rehabilitation. |
| first_indexed | 2024-12-12T05:31:25Z |
| format | Article |
| id | doaj.art-41126f07ba9b44c1bbacd05d87886560 |
| institution | Directory Open Access Journal |
| issn | 1664-042X |
| language | English |
| last_indexed | 2024-12-12T05:31:25Z |
| publishDate | 2020-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Physiology |
| spelling | doaj.art-41126f07ba9b44c1bbacd05d878865602022-12-22T00:36:18ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2020-09-011110.3389/fphys.2020.572063572063Immersive Virtual Reality to Restore Natural Long-Range Autocorrelations in Parkinson’s Disease Patients’ Gait During Treadmill WalkingAlexis Lheureux0Alexis Lheureux1Julien Lebleu2Caroline Frisque3Corentin Sion4Gaëtan Stoquart5Gaëtan Stoquart6Thibault Warlop7Christine Detrembleur8Thierry Lejeune9Thierry Lejeune10Institute of NeuroScience, Université catholique de Louvain, Brussels, BelgiumDepartment of Physical and Rehabilitation Medicine, Cliniques universitaires Saint-Luc, Brussels, BelgiumInstitut de Recherche Expérimentale et Clinique, Université catholique de Louvain, Brussels, BelgiumInstitut de Recherche Expérimentale et Clinique, Université catholique de Louvain, Brussels, BelgiumInstitut de Recherche Expérimentale et Clinique, Université catholique de Louvain, Brussels, BelgiumDepartment of Physical and Rehabilitation Medicine, Cliniques universitaires Saint-Luc, Brussels, BelgiumInstitut de Recherche Expérimentale et Clinique, Université catholique de Louvain, Brussels, BelgiumInstitute of NeuroScience, Université catholique de Louvain, Brussels, BelgiumInstitut de Recherche Expérimentale et Clinique, Université catholique de Louvain, Brussels, BelgiumDepartment of Physical and Rehabilitation Medicine, Cliniques universitaires Saint-Luc, Brussels, BelgiumInstitut de Recherche Expérimentale et Clinique, Université catholique de Louvain, Brussels, BelgiumEffects of treadmill walking on Parkinson’s disease (PD) patients’ spatiotemporal gait parameters and stride duration variability, in terms of magnitude [coefficient of variation (CV)] and temporal organization [long range autocorrelations (LRA)], are known. Conversely, effects on PD gait of adding an optic flow during treadmill walking using a virtual reality headset, to get closer to an ecological walk, is unknown. This pilot study aimed to compare PD gait during three conditions: Overground Walking (OW), Treadmill Walking (TW), and immersive Virtual Reality on Treadmill Walking (iVRTW). Ten PD patients completed the three conditions at a comfortable speed. iVRTW consisted in walking at the same speed as TW while wearing a virtual reality headset reproducing an optic flow. Gait parameters assessed were: speed, step length, cadence, magnitude (CV) and temporal organization (evenly spaced averaged Detrended Fluctuation Analysis, α exponent) of stride duration variability. Motion sickness was assessed after TW and iVRTW using the Simulator Sickness Questionnaire (SSQ). Step length was greater (p = 0.008) and cadence lower (p = 0.009) during iVRTW compared to TW while CV was similar (p = 0.177). α exponent was similar during OW (0.77 ± 0.07) and iVRTW (0.76 ± 0.09) (p = 0.553). During TW, α exponent (0.85 ± 0.07) was higher than during OW (p = 0.039) and iVRTW (p = 0.016). SSQ was similar between TW and iVRTW (p = 0.809). iVRTW is tolerable, could optimize TW effects on spatiotemporal parameters while not increasing CV in PD. Furthermore, iVRTW could help to capture the natural LRA of PD gait in laboratory settings and could potentially be a challenging second step in PD gait rehabilitation.https://www.frontiersin.org/article/10.3389/fphys.2020.572063/fullParkinson’s diseasegait disordersgait assessmentvirtual realitygait variabilityfractals |
| spellingShingle | Alexis Lheureux Alexis Lheureux Julien Lebleu Caroline Frisque Corentin Sion Gaëtan Stoquart Gaëtan Stoquart Thibault Warlop Christine Detrembleur Thierry Lejeune Thierry Lejeune Immersive Virtual Reality to Restore Natural Long-Range Autocorrelations in Parkinson’s Disease Patients’ Gait During Treadmill Walking Frontiers in Physiology Parkinson’s disease gait disorders gait assessment virtual reality gait variability fractals |
| title | Immersive Virtual Reality to Restore Natural Long-Range Autocorrelations in Parkinson’s Disease Patients’ Gait During Treadmill Walking |
| title_full | Immersive Virtual Reality to Restore Natural Long-Range Autocorrelations in Parkinson’s Disease Patients’ Gait During Treadmill Walking |
| title_fullStr | Immersive Virtual Reality to Restore Natural Long-Range Autocorrelations in Parkinson’s Disease Patients’ Gait During Treadmill Walking |
| title_full_unstemmed | Immersive Virtual Reality to Restore Natural Long-Range Autocorrelations in Parkinson’s Disease Patients’ Gait During Treadmill Walking |
| title_short | Immersive Virtual Reality to Restore Natural Long-Range Autocorrelations in Parkinson’s Disease Patients’ Gait During Treadmill Walking |
| title_sort | immersive virtual reality to restore natural long range autocorrelations in parkinson s disease patients gait during treadmill walking |
| topic | Parkinson’s disease gait disorders gait assessment virtual reality gait variability fractals |
| url | https://www.frontiersin.org/article/10.3389/fphys.2020.572063/full |
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