A training approach to improve stepping automaticity while dual-tasking in Parkinson's disease: A prospective pilot study.

BACKGROUND: Deficits in motor movement automaticity in Parkinson's disease (PD), especially during multitasking, are early and consistent hallmarks of cognitive function decline, which increases fall risk and reduces quality of life. This study aimed to test the feasibility and potential efficacy of a wearable sensor-enabled technological platform designed for an in-home music-contingent stepping-in-place (SIP) training program to improve step automaticity during dual-tasking (DT). METHODS: This was a 4-week prospective intervention pilot study. The intervention uses a sensor system and algorithm that runs off the iPod Touch which calculates step height (SH) in real-time. These measurements were then used to trigger auditory (treatment group, music; control group, radio podcast) playback in real-time through wireless headphones upon maintenance of repeated large amplitude stepping. With small steps or shuffling, auditory playback stops, thus allowing participants to use anticipatory motor control to regain positive feedback. Eleven participants were recruited from an ongoing trial (Trial Number: ISRCTN06023392). Fear of falling (FES-I), general cognitive functioning (MoCA), self-reported freezing of gait (FOG-Q), and DT step automaticity were evaluated. RESULTS: While we found no significant effect of training on FES-I, MoCA, or FOG-Q, we did observe a significant group (music vs podcast) by training interaction in DT step automaticity (P<0.01). CONCLUSION: Wearable device technology can be used to enable musically-contingent SIP training to increase motor automaticity for people living with PD. The training approach described here can be implemented at home to meet the growing demand for self-management of symptoms by patients.

Concurrent arm swing-stepping (CASS) can reveal gait start hesitation in Parkinson's patients with low self-efficacy and fear of falling.

BACKGROUND: Movement incoordination, freezing of gait, fear of falling, low self-efficacy, and multi-tasking can all contribute to falls in Parkinson's disease. How these multi-factorial risks interact in individual patients remain poorly understood. METHODS: Concurrent arm swing-stepping is a simple motor test in which subjects are first asked to swing their arms before being instructed to initiate the secondary task of leg stepping-in-place. We postulated that in patients with multiple fall risks, sensorimotor impairments in upper- and lower-limb movement control can render concurrent arm swing-stepping a demanding dual task, thereby triggering gait hesitation. A total of 31 subjects with Parkinson's disease were enrolled in the study. RESULTS: It was found that concurrent arm swing-stepping induced hesitation primarily in Parkinson's disease patients with low fall-related self-efficacy and a fear of falling. By contrast, concurrent arm swing-stepping led to limb incoordination in both patients and in healthy elderly controls. The calculated specificity and sensitivity of the concurrent arm swing-stepping test was 100 and 42 % for hesitation and 12 and 77 % for incoordination. CONCLUSION: These results suggest that the concurrent arm swing-stepping test can be used in conjunction with conventional psychometric assessments to facilitate multi-factorial assessment of potential fall risk.