This preprint is under consideration at Journal of NeuroEngineering and Rehabilitation. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
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Research
Mark W. Creaby
Australian Catholic University - Brisbane Campus
Corresponding Author
ORCiD: https://orcid.org/0000-0002-7959-7203
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background
People with Parkinson’s disease (PD) are at a high risk of falls, with ~ 60% experiencing a fall each year. Greater mediolateral head and pelvis motion during gait are known to increase the risk of falling in PD, however the ability to modify these aspects of gait has not been examined. Thus, this study aimed to examine whether mediolateral trunk, head and pelvis motion during walking could be successfully decreased in people with PD using real-time biofeedback.
Methods
Participants were provided with real-time biofeedback regarding their mediolateral trunk lean via a visual projection whilst walking along an 8-metre indoor walkway.
Results
A reduction in mediolateral trunk lean, step length and gait velocity from Baseline to the Intervention and Post-intervention conditions was observed. Contrary to this, increased normalised ML pelvis and trunk motion was observed between the Baseline and Intervention conditions, but returned to Baseline levels in the Post-Intervention condition.
Conclusions
Results from the current study suggest that real-time visual biofeedback may be effective at modifying specific gait characteristics that are associated with falls in PD. Further research is required to better understand the influence of this intervention approach has upon falls incidence.
Trial Registration:
Australian New Zealand Clinical Trials Registry ACTRN12620000994987. Registered 10 June 2020 - Retrospectively registered, https://anzctr.org.au/Trial/Registration/TrialReview.aspx?id=380324.
Keywords
Idiopathic Parkinson disease, Biofeedback, Gait, Biomechanics
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CURRENT STATUS: Under Review
Version 1
Posted 08 Mar, 2021
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Editor assigned
On 28 Feb, 2021
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On 28 Feb, 2021
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On 28 Feb, 2021
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On 25 Feb, 2021
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Posted 03 Mar, 2021
Editor assigned
On 03 Mar, 2021
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On 03 Mar, 2021
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Subject Areas
Neurology
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This preprint is under consideration at Journal of NeuroEngineering and Rehabilitation. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research
Mark W. Creaby
Australian Catholic University - Brisbane Campus
Corresponding Author
ORCiD: https://orcid.org/0000-0002-7959-7203
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Under Review
Version 1
Posted 08 Mar, 2021
No community comments so far
Editor assigned
On 28 Feb, 2021
Submission checks complete
On 28 Feb, 2021
Editor invited
On 28 Feb, 2021
First submitted
On 25 Feb, 2021
Version (no preprint)
Posted 03 Mar, 2021
Editor assigned
On 03 Mar, 2021
First submitted
On 03 Mar, 2021
This version was not preprinted
Subject Areas
Neurology
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background
People with Parkinson’s disease (PD) are at a high risk of falls, with ~ 60% experiencing a fall each year. Greater mediolateral head and pelvis motion during gait are known to increase the risk of falling in PD, however the ability to modify these aspects of gait has not been examined. Thus, this study aimed to examine whether mediolateral trunk, head and pelvis motion during walking could be successfully decreased in people with PD using real-time biofeedback.
Methods
Participants were provided with real-time biofeedback regarding their mediolateral trunk lean via a visual projection whilst walking along an 8-metre indoor walkway.
Results
A reduction in mediolateral trunk lean, step length and gait velocity from Baseline to the Intervention and Post-intervention conditions was observed. Contrary to this, increased normalised ML pelvis and trunk motion was observed between the Baseline and Intervention conditions, but returned to Baseline levels in the Post-Intervention condition.
Conclusions
Results from the current study suggest that real-time visual biofeedback may be effective at modifying specific gait characteristics that are associated with falls in PD. Further research is required to better understand the influence of this intervention approach has upon falls incidence.
Trial Registration:
Australian New Zealand Clinical Trials Registry ACTRN12620000994987. Registered 10 June 2020 - Retrospectively registered, https://anzctr.org.au/Trial/Registration/TrialReview.aspx?id=380324.
Figure 1
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