La maladie de Parkinson au Canada (serveur d'exploration)

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A training approach to improve stepping automaticity while dual-tasking in Parkinson's disease: A prospective pilot study.

Identifieur interne : 000105 ( PubMed/Checkpoint ); précédent : 000104; suivant : 000106

A training approach to improve stepping automaticity while dual-tasking in Parkinson's disease: A prospective pilot study.

Auteurs : Taylor Chomiak [Canada] ; Alexander Watts ; Nicole Meyer ; Fernando V. Pereira ; Bin Hu

Source :

RBID : pubmed:28151878

English descriptors

Abstract

Deficits in motor movement automaticity in Parkinson's disease (PD), especially during multitasking, are early and consistent hallmarks of cognitive function decline, which increases fall risk and reduces quality of life. This study aimed to test the feasibility and potential efficacy of a wearable sensor-enabled technological platform designed for an in-home music-contingent stepping-in-place (SIP) training program to improve step automaticity during dual-tasking (DT).

DOI: 10.1097/MD.0000000000005934
PubMed: 28151878


Affiliations:


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pubmed:28151878

Le document en format XML

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<term>Parkinson Disease (rehabilitation)</term>
<term>Physical Therapy Modalities</term>
<term>Pilot Projects</term>
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<div type="abstract" xml:lang="en">Deficits in motor movement automaticity in Parkinson's disease (PD), especially during multitasking, are early and consistent hallmarks of cognitive function decline, which increases fall risk and reduces quality of life. This study aimed to test the feasibility and potential efficacy of a wearable sensor-enabled technological platform designed for an in-home music-contingent stepping-in-place (SIP) training program to improve step automaticity during dual-tasking (DT).</div>
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<AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Deficits in motor movement automaticity in Parkinson's disease (PD), especially during multitasking, are early and consistent hallmarks of cognitive function decline, which increases fall risk and reduces quality of life. This study aimed to test the feasibility and potential efficacy of a wearable sensor-enabled technological platform designed for an in-home music-contingent stepping-in-place (SIP) training program to improve step automaticity during dual-tasking (DT).</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">This was a 4-week prospective intervention pilot study. The intervention uses a sensor system and algorithm that runs off the iPod Touch which calculates step height (SH) in real-time. These measurements were then used to trigger auditory (treatment group, music; control group, radio podcast) playback in real-time through wireless headphones upon maintenance of repeated large amplitude stepping. With small steps or shuffling, auditory playback stops, thus allowing participants to use anticipatory motor control to regain positive feedback. Eleven participants were recruited from an ongoing trial (Trial Number: ISRCTN06023392). Fear of falling (FES-I), general cognitive functioning (MoCA), self-reported freezing of gait (FOG-Q), and DT step automaticity were evaluated.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">While we found no significant effect of training on FES-I, MoCA, or FOG-Q, we did observe a significant group (music vs podcast) by training interaction in DT step automaticity (P<0.01).</AbstractText>
<AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">Wearable device technology can be used to enable musically-contingent SIP training to increase motor automaticity for people living with PD. The training approach described here can be implemented at home to meet the growing demand for self-management of symptoms by patients.</AbstractText>
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