Evidence map›Paper›PMID 33981279›Full record

ArticleFrontiers in psychology2021

BeatWalk: Personalized Music-Based Gait Rehabilitation in Parkinson's Disease.

Valérie Cochen De Cock, Dobromir Dotov, Loic Damm, Sandy Lacombe, Petra Ihalainen, Marie Christine Picot, Florence Galtier, Cindy Lebrun, Aurélie Giordano, Valérie Driss and 8 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05733819 (Responders to Metronome-based Rhythmic Auditory Cueing in Parkinson Disease), which is not on this map. Cited by 39 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 5 pooled it
13.9field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05733819 phase1completednot on this mapstarted 2023, after this paper: background citation

Responders to Metronome-based Rhythmic Auditory Cueing in Parkinson Disease

TypeinterventionalSponsorBoston University Charles River CampusRan2023 to 2023Enrolled31ConditionsParkinson DiseaseArmsSubject-specific optimized RAS, Active Walking
3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 5 syntheses or guidelines pooled it, 63 citations in OpenAlex.

  1. Pooled it
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  6. Trial
  7. Article
  8. The sound of longevity: music and technology for healthy ageing.Aging clinical and experimental research · 2026
    Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. Effects of Cueing Training on Gait Variability.International journal of exercise science · 2026
    Article
  15. Article
  16. Article
  17. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 5 institutions in 5 countries.

Valérie Cochen De CockDepartment of Neurology, Beau Soleil Clinic, Montpellier, France.
Dobromir DotovEuroMov Digital Health in Motion, University of Montpellier, IMT Mines Alès, Montpellier, France.
Loic DammEuroMov Digital Health in Motion, University of Montpellier, IMT Mines Alès, Montpellier, France.
Sandy LacombeDepartment of Epidemiology and Biostatistics, Beau Soleil Clinic, Montpellier, France.
Petra IhalainenEuroMov Digital Health in Motion, University of Montpellier, IMT Mines Alès, Montpellier, France.
Marie Christine PicotINSERM, Clinical Investigation Centre (CIC) 1411, University Hospital of Montpellier, Montpellier, France.
Florence GaltierINSERM, Clinical Investigation Centre (CIC) 1411, University Hospital of Montpellier, Montpellier, France.
Cindy LebrunINSERM, Clinical Investigation Centre (CIC) 1411, University Hospital of Montpellier, Montpellier, France.
Aurélie GiordanoINSERM, Clinical Investigation Centre (CIC) 1411, University Hospital of Montpellier, Montpellier, France.
Valérie DrissINSERM, Clinical Investigation Centre (CIC) 1411, University Hospital of Montpellier, Montpellier, France.
Christian GenyEuroMov Digital Health in Motion, University of Montpellier, IMT Mines Alès, Montpellier, France.
Ainara GarzoNeuroengineering Area, Health Division, TECNALIA, Basque Research and Technology Alliance (BRTA), Donostia-San Sebastian, Spain.
Erik HernandezNeuroengineering Area, Health Division, TECNALIA, Basque Research and Technology Alliance (BRTA), Donostia-San Sebastian, Spain.
Edith Van DyckDepartment of Musicology, Institute for Psychoacoustics and Electronic Music (IPEM), Ghent University, Ghent, Belgium.
Marc LemanDepartment of Musicology, Institute for Psychoacoustics and Electronic Music (IPEM), Ghent University, Ghent, Belgium.
Rudi VillingDepartment of Electronic Engineering, Maynooth University, Maynooth, Ireland.
Benoit G BardyEuroMov Digital Health in Motion, University of Montpellier, IMT Mines Alès, Montpellier, France.
Simone Dalla BellaEuroMov Digital Health in Motion, University of Montpellier, IMT Mines Alès, Montpellier, France.
Université de Montpellier · FRInserm · FRGhent University · BETecnalia · ESNational University of Ireland, Maynooth · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Taking regular walks when living with Parkinson's disease (PD) has beneficial effects on movement and quality of life. Yet, patients usually show reduced physical activity compared to healthy older adults. Using auditory stimulation such as music can facilitate walking but patients vary significantly in their response. An individualized approach adapting musical tempo to patients' gait cadence, and capitalizing on these individual differences, is likely to provide a rewarding experience, increasing motivation for walk-in PD. We aim to evaluate the observance, safety, tolerance, usability, and enjoyment of a new smartphone application. It was coupled with wearable sensors (BeatWalk) and delivered individualized musical stimulation for gait auto-rehabilitation at home. Forty-five patients with PD underwent a 1-month, outdoor, uncontrolled gait rehabilitation program, using the BeatWalk application (30 min/day, 5 days/week). The music tempo was being aligned in real-time to patients' gait cadence in a way that could foster an increase up to +10% of their spontaneous cadence. Open-label evaluation was based on BeatWalk use measures, questionnaires, and a six-minute walk test. Patients used the application 78.8% (±28.2) of the prescribed duration and enjoyed it throughout the program. The application was considered "easy to use" by 75% of the patients. Pain, fatigue, and falls did not increase. Fear of falling decreased and quality of life improved. After the program, patients improved their gait parameters in the six-minute walk test without musical stimulation. BeatWalk is an easy to use, safe, and enjoyable musical application for individualized gait rehabilitation in PD. It increases "walk for exercise" duration thanks to high observance.

Indexed as

cueinggait rehabilitationParkinson’s diseasephysical activityprecision medicine BeatWalkrhythmic auditory stimulation

Identifiers

PMID33981279
PMCPMC8109247
OpenAlexW3157522591

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.