Older adults, and particularly those with Parkinson disease (PD), may experience walking difficulties that negatively impact their daily function and quality of life. People that have PD plus dementia are also likely to experience walking difficulties. This project will examine the impact of music and mentally singing on walking performance, with a goal of understanding what types of rhythmic cues are most helpful. Pilot work from the investigators suggests that imagined, mental singing (i.e., singing in head) while while walking helps people walk faster with greater stability, whereas walking to music also helps people walk faster but with reduced stability. In this study, the investigators will recruit people who have PD plus dementia. The investigators will compare walking while mentally singing and walking while listening to music, using personalized cues tailored to each person's walking performance. The investigators hypothesize temporal variability of gait will be lower in the mental singing and singing conditions compared to listening to music; and that mental singing, singing, and listening to music will elicit similar improvements in stride length.
During this observational study, participants will attend one visit in the laboratory. The visit will include participants wearing wearable sensors during the following tasks: walking with no cues (UNCUED), walking while listening to music (MUSIC), and walking while mentally singing (MENTAL SINGING). The wearable sensors will measure gait parameters including gait speed, stride length, and stride time variability.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
OTHER
Masking
NONE
Enrollment
17
Participants sing their song in their head and match their footfalls to the beat.
Participants listen to their song and match their footfalls to the beat.
Washington University School of Medicine Program in Physical Therapy
St Louis, Missouri, United States
Velocity
Measured with wearable sensors by APDM Wearable Technology
Time frame: Baseline
Stride Length
Measured with wearable sensors by APDM Wearable Technology
Time frame: Baseline
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