Evidence map›Paper›PMID 37840504›Full record

ArticleJournal of Parkinson's disease2023

Feasibility and Proof-of-Concept of Delivering an Autonomous Music-Based Digital Walking Intervention to Persons with Parkinson's Disease in a Naturalistic Setting.

Jenna A Zajac, Franchino Porciuncula, James T Cavanaugh, Colin McGregor, Brian A Harris, Kirsten E Smayda, Louis N Awad, Alexander Pantelyat, Terry D Ellis

Registry-linked trialAbstract read
In one paragraph

Article in Journal of Parkinson's disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07705373 (A Novel Digital Music-based Autonomous Personalized Walking Intervention to Improve Gait and Walking Automaticity in Parkinson Disease), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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.

NCT07705373 narecruitingnot on this mapstarted 2026, after this paper: background citation

A Novel Digital Music-based Autonomous Personalized Walking Intervention to Improve Gait and Walking Automaticity in Parkinson Disease

TypeinterventionalSponsorBoston University Charles River CampusRan2026 to 2029Enrolled200ConditionsParkinson's Disease (PD)ArmsMR-005 (MedRhythms, Inc., Portland, ME)
3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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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

9 authors.

Jenna A ZajacCollege of Health and Rehabilitation Sciences: Sargent College, Boston University, Boston, MA, USA.
Franchino PorciunculaCollege of Health and Rehabilitation Sciences: Sargent College, Boston University, Boston, MA, USA.
James T CavanaughDepartment of Physical Therapy, University of New England, Portland, ME, USA.
Colin McGregorDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Brian A HarrisMedRhythms Inc, Portland, ME, USA.
Kirsten E SmaydaMedRhythms Inc, Portland, ME, USA.
Louis N AwadCollege of Health and Rehabilitation Sciences: Sargent College, Boston University, Boston, MA, USA.
Alexander PantelyatDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Terry D EllisCollege of Health and Rehabilitation Sciences: Sargent College, Boston University, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReduced motor automaticity in Parkinson's disease (PD) negatively impacts the quality, intensity, and amount of daily walking. Rhythmic auditory stimulation (RAS), a clinical intervention shown to improve walking outcomes, has been limited by barriers associated with the need for ongoing clinician input.

objectiveTo assess the feasibility, proof-of-concept, and preliminary clinical outcomes associated with delivering an autonomous music-based digital walking intervention based on RAS principles to persons with PD in a naturalistic setting.

methodsTwenty-three persons with PD used the digital intervention independently for four weeks to complete five weekly 30-minute sessions of unsupervised, overground walking with music-based cues. The intervention progressed autonomously according to real-time gait sensing. Feasibility of independent use was assessed by examining participant adherence, safety, and experience. Intervention proof-of-concept was assessed by examining spatiotemporal metrics of gait quality, daily minutes of moderate intensity walking, and daily steps. Preliminary clinical outcomes were assessed following intervention completion.

resultsParticipants completed 86.4% of sessions and 131.1% of the prescribed session duration. No adverse events were reported. Gait speed, stride length, and cadence increased within sessions, and gait variability decreased (p < 0.05). Compared to baseline, increased daily moderate intensity walking (mean Δ= +21.44 minutes) and steps (mean Δ= +3,484 steps) occurred on designated intervention days (p < 0.05). Quality of life, disease severity, walking endurance, and functional mobility were improved after four weeks (p < 0.05).

conclusionsStudy findings supported the feasibility and potential clinical utility of delivering an autonomous digital walking intervention to persons with PD in a naturalistic setting.

Indexed as

MusicParkinson DiseaseFeasibility StudiesGaitHumansQuality of LifeWalkingGaitphysical activityrehabilitationrhythmic auditory stimulation

Identifiers

PMID37840504
PMCPMC10657706

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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.