Amped-PD: Amplifying Physical Activity Through Music in Parkinson Disease
NCT ID: NCT05421624
Last Updated: 2025-05-31
Study Results
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View full resultsBasic Information
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COMPLETED
NA
44 participants
INTERVENTIONAL
2022-08-01
2023-11-01
Brief Summary
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Detailed Description
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The main aims of the study seek to examine if Amped-PD (Experimental Intervention) is more effective than a standard-of-care walking program (Active-Control Intervention) in improving physical activity based on moderate intensity walking (Aim 1), and in improving motor deficits related to quality of walking (Aim 2) in individuals with mild-to-moderate PD. Additionally, this study will examine whether habit formation mediates the relationship between the intervention (Amped-PD or Active-Control) and physical activity (Aim 3). The investigators hypothesize that Amped-PD will have greater improvements in amounts of moderate intensity walking and stride-to-stride variability based on stride length and swing time. Further, habit formation will be one mechanism that will explain the link between the intervention and physical activity. Secondary research aims will examine whether Amped-PD is more effective than Active-Control in improving motor and non-motor features based on short- and long-distance walking function, spatiotemporal measures of walking, step activity based on daily step counts, disease severity scores, quality of life, self-efficacy on walking, and depression.
This study will utilize the breakthrough digital music therapeutic developed and manufactured by MedRhythms (Portland, ME). To examine the effects of the intervention, the investigators will use clinical measures of motor and gait function, participant self-reports on habit formation, and quantified movement data on walking and physical activity using wearable sensors. This study will be implemented by carrying out the following study visits: (1) Primary screen over the phone, (2) Clinical Screening and Baseline Assessment, (3) Community-based, self-directed walking program (6 weeks), (3) Post-training Assessment; (4) Follow-up training (2 weeks), and (5) Final Follow-Up Assessment. Altogether, these procedures may take up to 10 weeks.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
TREATMENT
SINGLE
Study Groups
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Amped-PD
6-week community-based, self-directed walking program that uses a novel digital therapeutic that delivers music-adaptive rhythmic auditory stimulation.
Digital music therapeutic
The digital music therapeutic is comprised of foot sensors, a smart phone with pre-installed proprietary software application, and headphones. The device obtains real-time walking data through movement sensors that communicate wirelessly with the smartphone application software. Music cues are tailored to the person's walking pattern, and are transmitted wirelessly to the headphones. Music cues are time-shifted to the user's baseline cadence and adjusted in real-time based on the user's walking performance metrics.
Active-Control
6-week community-based, self-directed walking program without using a novel digital therapeutic or any form of rhythmic auditory stimulation.
Active-Control
The Active-Control intervention will implement a similarly structured community-based walking program as Amped-PD, with the only exception the digital music therapeutic.
Interventions
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Digital music therapeutic
The digital music therapeutic is comprised of foot sensors, a smart phone with pre-installed proprietary software application, and headphones. The device obtains real-time walking data through movement sensors that communicate wirelessly with the smartphone application software. Music cues are tailored to the person's walking pattern, and are transmitted wirelessly to the headphones. Music cues are time-shifted to the user's baseline cadence and adjusted in real-time based on the user's walking performance metrics.
Active-Control
The Active-Control intervention will implement a similarly structured community-based walking program as Amped-PD, with the only exception the digital music therapeutic.
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
* Modified Hoehn and Yahr stages 1-3 per physical exam by a licensed physical therapist
* 40 - 85 years of age
* Community-dwelling
* Able to walk independently without physical assistance or an assistive device for at least 10 minutes.
* Have stable PD medications for at least two weeks prior to enrollment.
* Willing and able to provide informed consent.
* Provide HIPAA Authorization to allow communication with the primary healthcare provider for communication (as needed) during the study period.
Exclusion Criteria
* Diagnosis of atypical Parkinsonism
* Modified Hoehn and Yahr stages 4-5
* Moderately or significantly disturbing freezing episodes during daily walking based on the New Freezing of Gait Questionnaire
* History of \>1 fall over the past 3 months
* Cognitive impairment (i.e., Mini-Mental State Exam Score (MMSE) \< 24)
* Unable to walk independently (i.e. without physical assistance or assistive device) at a comfortable speed of 0.4m/s or greater (i.e., 10-meter Walk Test (10mWT))
* Unable to independently use the music-based digital therapeutic during training
* Significant hearing impairment
* Currently participating in physical therapy
* Currently performing regular walking exercise \> 3x/week for 30 minutes per session.
* Cardiac conditions that may limit safe participation in exercise
* Orthopedic conditions that may limit safe participation in exercise
* Any other medical conditions that would preclude successful participation as determined by a physical therapist
40 Years
85 Years
ALL
No
Sponsors
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University of New England
OTHER
National Institute on Aging (NIA)
NIH
Boston University Charles River Campus
OTHER
Responsible Party
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Principal Investigators
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Franchino Porciuncula, PT, EdD
Role: PRINCIPAL_INVESTIGATOR
Boston University
Terry D. Ellis, PT, PhD
Role: PRINCIPAL_INVESTIGATOR
Boston University
Locations
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Center for Neurorehabilitation at Boston University
Boston, Massachusetts, United States
Countries
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References
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Cavanaugh JT, Ellis TD, Earhart GM, Ford MP, Foreman KB, Dibble LE. Toward Understanding Ambulatory Activity Decline in Parkinson Disease. Phys Ther. 2015 Aug;95(8):1142-50. doi: 10.2522/ptj.20140498. Epub 2015 Apr 9.
Ellis TD, Cavanaugh JT, Earhart GM, Ford MP, Foreman KB, Thackeray A, Thiese MS, Dibble LE. Identifying clinical measures that most accurately reflect the progression of disability in Parkinson disease. Parkinsonism Relat Disord. 2016 Apr;25:65-71. doi: 10.1016/j.parkreldis.2016.02.006. Epub 2016 Feb 2.
Nombela C, Hughes LE, Owen AM, Grahn JA. Into the groove: can rhythm influence Parkinson's disease? Neurosci Biobehav Rev. 2013 Dec;37(10 Pt 2):2564-70. doi: 10.1016/j.neubiorev.2013.08.003. Epub 2013 Sep 3.
Thaut MH, McIntosh GC, Rice RR, Miller RA, Rathbun J, Brault JM. Rhythmic auditory stimulation in gait training for Parkinson's disease patients. Mov Disord. 1996 Mar;11(2):193-200. doi: 10.1002/mds.870110213.
Hutchinson K, Sloutsky R, Collimore A, Adams B, Harris B, Ellis TD, Awad LN. A Music-Based Digital Therapeutic: Proof-of-Concept Automation of a Progressive and Individualized Rhythm-Based Walking Training Program After Stroke. Neurorehabil Neural Repair. 2020 Nov;34(11):986-996. doi: 10.1177/1545968320961114. Epub 2020 Oct 10.
Gardner B. A review and analysis of the use of 'habit' in understanding, predicting and influencing health-related behaviour. Health Psychol Rev. 2015;9(3):277-95. doi: 10.1080/17437199.2013.876238. Epub 2014 Jan 21.
Galla BM, Duckworth AL. More than resisting temptation: Beneficial habits mediate the relationship between self-control and positive life outcomes. J Pers Soc Psychol. 2015 Sep;109(3):508-25. doi: 10.1037/pspp0000026. Epub 2015 Feb 2.
Wittwer JE, Winbolt M, Morris ME. Home-Based Gait Training Using Rhythmic Auditory Cues in Alzheimer's Disease: Feasibility and Outcomes. Front Med (Lausanne). 2020 Jan 31;6:335. doi: 10.3389/fmed.2019.00335. eCollection 2019.
Jeng B, Cederberg KL, Lai B, Sasaki JE, Bamman MM, Motl RW. Step-rate threshold for physical activity intensity in Parkinson's disease. Acta Neurol Scand. 2020 Aug;142(2):145-150. doi: 10.1111/ane.13250. Epub 2020 Apr 22.
Tudor-Locke C, Craig CL, Aoyagi Y, Bell RC, Croteau KA, De Bourdeaudhuij I, Ewald B, Gardner AW, Hatano Y, Lutes LD, Matsudo SM, Ramirez-Marrero FA, Rogers LQ, Rowe DA, Schmidt MD, Tully MA, Blair SN. How many steps/day are enough? For older adults and special populations. Int J Behav Nutr Phys Act. 2011 Jul 28;8:80. doi: 10.1186/1479-5868-8-80.
Cavanaugh JT, Porciuncula F, Zajac JA, Baker T, Wendel N, Awad LN, Ellis TD. Gait Responses in People with Parkinson Disease During Autonomous Closed-loop Rhythmic Auditory Stimulation: An Exploratory Analysis. Neurorehabil Neural Repair. 2025 Aug;39(8):666-676. doi: 10.1177/15459683251340910. Epub 2025 May 29.
Porciuncula F, Cavanaugh JT, Zajac J, Wendel N, Baker T, Arumukhom Revi D, Eklund N, Holmes MB, Awad LN, Ellis TD. Amplifying walking activity in Parkinson's disease through autonomous music-based rhythmic auditory stimulation: randomized controlled trial. NPJ Parkinsons Dis. 2025 Apr 29;11(1):100. doi: 10.1038/s41531-025-00952-x.
Provided Documents
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Document Type: Study Protocol
Document Type: Statistical Analysis Plan
Document Type: Informed Consent Form
Other Identifiers
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6518
Identifier Type: -
Identifier Source: org_study_id
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