The authors determined effects of community-based adapted tango on spatial cognition and disease severity in Parkinson's disease (PD) while controlling for the effects of social interaction. Thirty-three individuals with mild-to-moderate PD (stage I–III) were assigned to twenty 90-min tango (n = 24) or education (n = 9) lessons over 12 weeks. Disease severity, spatial cognition, balance, and fall incidence were evaluated pre-, post-, and 10–12 weeks postintervention. The authors evaluated differences using t tests and analyses of variance. Twenty-three tango and 8 education participants finished. Tango participants improved on disease severity (p = .008), and spatial cognition (p = .021) compared with education participants. Tango participants also improved in balance (p = .038), and executive function (p = .012). Gains were maintained 10–12 weeks postintervention. Multimodal exercise with structured syllabi may improve disease severity and spatial cognition in PD.

Physical interactions between two people are ubiquitous in our daily lives, and an integral part of many forms of rehabilitation. However, few studies have investigated forces arising from physical interactions between humans during a cooperative motor task, particularly during overground movements. As such, the direction and magnitude of interaction forces between two human partners, how those forces are used to communicate movement goals, and whether they change with motor experience remains unknown. A better understanding of how cooperative physical interactions are achieved in healthy individuals of different skill levels is a first step toward understanding principles of physical interactions that could be applied to robotic devices for motor assistance and rehabilitation. Interaction forces between expert and novice partner dancers were recorded while performing a forward-backward partnered stepping task with assigned “leader” and “follower” roles. Their position was recorded using motion capture. The magnitude and direction of the interaction forces were analyzed and compared across groups (i.e. expert-expert, expert-novice, and novice-novice) and across movement phases (i.e. forward, backward, change of direction). All dyads were able to perform the partnered stepping task with some level of proficiency. Relatively small interaction forces (10–30N) were observed across all dyads, but were significantly larger among expert-expert dyads. Interaction forces were also found to be significantly different across movement phases. However, interaction force magnitude did not change as whole-body synchronization between partners improved across trials. Relatively small interaction forces may communicate movement goals (i.e. “what to do and when to do it”) between human partners during cooperative physical interactions. Moreover, these small interactions forces vary with prior motor experience, and may act primarily as guiding cues that convey information about movement goals rather than providing physical assistance. This suggests that robots may be able to provide meaningful physical interactions for rehabilitation using relatively small force levels.

This narrative review examines the utility of gait digital biomarkers in Parkinson’s disease (PD) research and clinical trials across four contexts: disease susceptibility/risk, disease progression, response to exercise, and fall prediction. The review of the literature to date suggests that upper body characteristics of gait (e.g., arm swing, trunk motion) may indicate susceptibility/risk of PD, while pace aspects (e.g., gait speed, stride length) are informative for tracking disease progression, exercise response, and fall likelihood. Dynamic stability aspects (e.g., trunk regularity, double-support time) worsen with disease progression but can improve with exercise. Gait variability emerges as a sensitive biomarker across all 4 contexts but with low specificity. The lack of standardized gait testing protocols and the lack of a minimum set of quantified digital gait biomarkers limit data harmonization across studies. Future studies, using a commonly agreed upon protocol, could be used to demonstrate the utility of specific gait biomarkers for clinical practice.

Background: Therapeutic dancing can be beneficial for people living with Parkinson’s disease (PD), yet community-based classes can be difficult to access. Objective: To evaluate the feasibility and impact of online therapeutic dancing classes for people in the early to mid-stages of PD. Methods: Co-produced with people living with PD, physiotherapists, dance teachers and the local PD association, the ‘ParkinDANCE’ program was adapted to enable online delivery during the COVID-19 pandemic. Participants completed 8 one-hour sessions of online therapeutic dancing. Each person was assigned their own dance teacher and together they selected music for the classes. A mixed-methods design enabled analysis of feasibility and impact. Feasibility was quantified by attendance and adverse events. Impact was determined from individual narratives pertaining to consumer experiences and engagement, analysed with qualitative methods through a phenomenological lens. Results: Attendance was high, with people attending 100% sessions. There were no adverse events. Impact was illustrated by the key themes from the in-depth interviews: (i) a sense of achievement, enjoyment and mastery occurred with online dance; (ii) project co-design facilitated participant engagement; (iii) dance instructor capabilities, knowledge and skills facilitated positive outcomes; (iv) music choices were key; and (v) participants were able to quickly adapt to online delivery with support and resources. Conclusions: Online dance therapy was safe, feasible and perceived to be of benefit in this sample of early adopters. During the pandemic, it was a viable form of structured physical activity. For the future, online dance may afford benefits to health, well-being and social engagement.