A Novel Digital Music-based Autonomous Personalized Walking Intervention to Improve Gait and Walking Automaticity in Parkinson Disease
A Novel Digital Music-based Autonomous Personalized Walking Intervention to Improve Gait and Walking Automaticity in Parkinson Disease
The purpose of this research study is to examine the effects of a 3-month personalized community-based walking program using a digital music-based device designed for self-directed gait training in people with Parkinson disease (PD). The study uses music cues delivered through this digital device to improve walking outcomes. The investigators want to know if personalized music cueing through the digital device can improve walking quality, walking ability, daily walking amount and intensity, and quality of life, while helping walking feel more automatic and require less mental effort. Participants will take part in this research study for approximately 18 weeks in total. During this time, participants will complete 4 study visits at designated research centers at Boston University, Washington University in St. Louis, or the University of Utah, depending on the site of enrollment.
The overall goal of this single-arm, multi-center repeated baselines study (N=162) is to examine how a personalized closed-loop music-based digital gait intervention, using MR-005 (MedRhythms, Inc.), improves gait quality, capacity, real-world walking performance, and gait automaticity in Parkinson disease (PD). Participants will complete a community-based, self-directed walking program using the digital music-based device 4 days a week for 12 weeks, designed to promote sustained walking beyond the use of the device.
This study builds on a stepwise investigation beginning with a proof-of-concept feasibility study (N=23) followed by a 6-week randomized controlled trial (RCT; N=44). This mechanistic-focused study will examine the substrates of a personalized approach that underlie changes in walking outcomes, as well as identify determinants that determine responsiveness to the intervention. This study is a critical next step to elucidate mechanistic understanding of closed-loop personalized gait approaches and to determine those with PD who benefit most.
Inclusion Criteria:
Exclusion Criteria:
egclarke@bu.edu617-358-6157
fporciun@bu.edu617-353-7571
Boston, Massachusetts 02215, United States
egclarke@bu.edu617-358-6157
kayla.bell@wustl.edu314-273-6016
rawson@wustl.edu813-468-8900
rheanna.anderson@utah.edu801-587-3615