- Study Protocol
- Open Access
- Open Peer Review
Effects of virtual rehabilitation versus conventional physical therapy on postural control, gait, and cognition of patients with Parkinson’s disease: study protocol for a randomized controlled feasibility trial
Pilot and Feasibility Studies volume 3, Article number: 68 (2017)
There is an association among postural instability, gait dysfunction, and cognitive impairment in subjects with Parkinson’s disease (PD). Difficulty in dividing attention, response inhibition, and visuospatial attention deficiencies may contribute to the impairment of motor performance during daily activities. There are strong evidences that physical therapy can prevent physical and cognitive decline in individuals with PD. Recently, the European Physiotherapy Guideline (EPG) was developed based on randomized clinical trials about the effectiveness of the physical therapy to improve the functional deficiencies of individuals with PD. The EPG did not include the use of promising new intervention as virtual reality in PD due the lack of studies about its safety, feasibility and effectiveness. Therefore, this study protocol had as objective to evaluate the feasibility, safety and effectiveness of a physical therapy program-based on the European Physiotherapy Guideline (EPG) compared to Kinect-based training on postural control, gait, cognition, and quality of life (QoL) of Individuals with PD.
A single-blind, parallel, randomized, controlled feasibility trial will be conducted with a sample of 32 individuals diagnosed with idiopathic PD. Participants will be allocated into control group (CG) and experimental group (EG). The intervention of the CG will be conventional physical therapy, and the intervention of the EG will be a supervised practice of five Kinect games. Both groups will perform 14 sessions of 1 h each one, twice a week over 7 weeks. Process outcomes will be safety, feasibility, adherence, and acceptability. Safety will be assessed by the proportion of participants who experienced intervention-related adverse events or any serious adverse event during the study period. Feasibility will be assessed through the scores of the games recorded in all training sessions. Adherence will be assessed through the participant’s attendance. Acceptability will be the motivation of the participants regarding the interventions. Clinical outcomes will be (1) postural control, (2) cognitive function, (3) balance, (4) gait, and (5) QoL. Individuals will be assessed pre- and post-interventions and after 30 days by a blinded evaluator.
This protocol will clarify if an intervention based on Kinect games will be feasible, safe, and acceptable for individuals with PD compared to conventional physical therapy. We will verify whether the proposed interventions can improve clinical outcomes as postural control, gait, cognition, and QoL of individuals with PD. Our hypothesis is that both Kinect games and conventional physical therapy will be feasible, safe, and acceptable for individuals with PD and will promote positive clinical effects. The results of this feasibility study will be used to design a future definitive clinical trial.
Unique identification number in WHO Trial Registration: U1111-1171-0371. Brazilian Clinical Trial Registration Number RBR-27kqv5, registration date: February, 2016.
The impairment of gait, balance, and cognition of individuals with idiopathic Parkinson’s disease (PD)  increases the incidence of falls and impairs daily living activities . Physical therapy can decrease the deleterious effects of PD that are resistant to dopaminergic replacement, such as festination, hesitation, freezing of gait, axial motor dysfunctions, and falls [3,4,5,6]. Based mainly on the finds of randomized clinical trials, the European Physiotherapy Guideline (EPG) for PD was developed and updated by specialists [7, 8]. There is strong evidence that physical therapy through different strategies can improve motor and cognitive functions of individuals with PD [9,10,11,12,13].
Practice-oriented task approach is recommended to facilitate the motor learning process and transferring for daily living activities [5,6,7]. The cue strategies can be used to improve gait, and specific exercises can improve balance [5, 6, 8].
Besides the well-consolidated conventional physical therapy, new therapeutic strategies based on practice-oriented task approach and visual and auditory feedback have shown positive effects on PD, among them the virtual reality training through video games [9, 10]. There are some studies suggesting that video games can promote integrated motor-cognitive training with the potential to improve balance, motor learning, cognition, and independence on daily living activities of individuals with PD [9, 11,12,13]. Through video games, individuals may be able to perform complex tasks (fast and large movements involving the whole body, rather than performing the movement in a single joint). Besides this, video games provide auditory and visual feedback that can contribute to physical performance [14, 15].
Amid recent technological advances, the Microsoft Kinect sensor (Kinect) is a potential low-cost alternative resource that can benefit in the treatment of individuals with PD. Pompeu et al.  assessed the safety and feasibility of Kinect games for individuals with PD in a pilot study with a small sample (n = 7) and without a control group. Due to the methodological issues of the pilot study of Pompeu et al. , a more robust randomized clinical feasibility trial is needed to clarify the safety and feasibility of the Kinect games compared to a conventional intervention.
The objective of this study will be to evaluate the safety, feasibility, adherence, acceptability, and clinical outcomes (postural control, gait, cognition, and QoL) of the Kinect game-based intervention compared to conventional physical therapy in individuals with PD. We hypothesize that the Kinect games will be feasible, safe, and acceptable and will provide improvements in the postural control, gait, cognition, and QoL of individuals with PD.
This study will be a single-blind, parallel-group, randomized controlled feasibility trial. Participants will provide written informed consent prior to taking part in the study. The protocol will follow the CONSORT guidelines for reporting of non-pharmacological interventions.
The study was approved by the Ethics Committee of the Institute of Psychology, University of São Paulo, Brazil, number 1.506.842, and registered in ensaiosclinicos.gov (RBR-27kqv5). The current study was developed based on Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) (Additional file 1).
The study will be conducted in three different settings: (1) Motor Behavior Laboratory, School of Physical Education and Sports, University of São Paulo, Brazil; (2) Laboratory of Study and Research in Rehabilitation of Body Balance and Social Inclusion, Anhanguera Educational, São Paulo, SP, Brazil; and (3) Movement Disorders Unit, Federal University of São Paulo, São Paulo, SP, Brazil.
Individuals diagnosed with PD living in the city of São Paulo (Brazil) will be recruited. It will select individuals who meet the following inclusion criteria: 50–80 years of age, idiopathic PD diagnosed according to the criteria of the UK Brains Bank Parkinson’s Society , without clinical fluctuation, and in stages I to III of the modified Hoehn and Yahr . All individuals should be treated with levodopa and/or their synergists. Moreover, they should be able to walk independently with or without assistive device and without signs of cognitive decline, defined according to the cutoff scores of the Mini Mental State Examination (MMSE) , adjusted according to the educational level (> 20 for illiterates, > 25 for individuals with 1 to 4 years of education, > 26 for individuals with 5 to 8 years, > 28 for individuals with 9 to 11 years, > 29 for individuals with more than 11 years of education) .
It will exclude individuals with biomechanics, and significant cardiovascular or respiratory alterations that could compromise training performance. All individuals should be in medical treatment, and any clinical fluctuation reported at their medical records will be excluded.
Figure 1 outlines the study phases. Participants in both groups will be allocated to an intervention at the ratio of 1:1. The trial will be carried out over a 7-week period.
Individuals will be evaluated during the “on” period by two blinded, trained physical therapists. The evaluators will be blinded to the type of intervention that individuals will receive. Individuals will be oriented to not comment to the evaluators about any details of the intervention that they will receive. In compliance with the pharmacodynamics of levodopa (onset is 20 to 40 min and duration of effect is 2 to 4 h after medication), individuals will be evaluated in the period of 2 h after medication, according to Lipp et al. . This is the time at which the individual had better engine performance related to the effect of levodopa.
Table 1 details the outcome measures that will be used to assess the treatment effects. All measurements will be taken at baseline (week 0), at the end of the intervention (week 7), and 30 days after the second evaluation (follow-up). For a month after the intervention, the individuals will be instructed to not begin any new physical activity in order to not interfere in the evaluation of the long-lasting effects of the intervention.
Process outcomes will be safety, feasibility, adherence, and acceptability. Safety will be assessed by the proportion of participants who experienced intervention-related adverse events or any serious adverse event during the study period. An adverse event was defined as any untoward medical occurrence, such as falls, joint and muscular pain, syncope, dizziness, or any other medical condition that requires hospitalization or leads to disability.
Feasibility will be assessed through the scores of the games recorded in all training sessions, according to Pompeu et al. . An increase in scores will indicate that the participant is able to not only play but also improve his performance in the games. To determine the adherence, we will collect each participant’s attendance records before and after the training sessions. We will conclude that the exercise program is feasible if we obtain > 50% attendance of all sessions per patient and a mean of attendance > 80% per session.
The acceptability will be evaluated through a questionnaire developed by the researchers of this study in which the individuals will answer questions related to their motivation to be involved in the intervention.
Static postural control and limits of stability (LOS) will be assessed using the AMTI Accugait Optimized™ force platform (AMTI, Inc., Newton, MA). The Accugait measures the three-dimensional applied forces (Fx, Fy, Fz) and moments (Mx, My, Mz) involved in balance and uses established algorithms to compute the location of the center of pressure (COP) and its associated variables with acquisition frequency set to 100 Hz. Data will be acquired, recorded, and analyzed using Balance Clinic software (balance software for AMTI’s Accusway plus balance platform, version 2.02.01).
The measures will be the area of a 95% confidence ellipse of the COP excursion in the anterior-posterior and mediolateral directions and the mean velocity of the COP in two trials of 60 s, under six conditions: (1) orthostatic position on firm ground with open eyes (EO); (2) orthostatic position on firm ground with closed eyes (EC); (3) dual-task (DT): orthostatic position on firm ground with OE and performing two fluency tasks and counting backwards from 150 by subtracting 3’s (trial 1) and counting backwards from 180 by subtracting 3’s (trial 2); (4) orthostatic position on firm ground performing excursion in the anterior-posterior and mediolateral directions within the limit of stability; (5) orthostatic position on a foam pillow with OE; and (6) orthostatic position on a foam pillow with EC.
Postural control will be evaluated by the Mini Balance Evaluation Systems Test (Mini-BESTest), a scale that consists of 14 items that focus on dynamic balance, comprising four areas: anticipatory postural adjustments, postural responses, sensory orientation, and balance during walking. Each item is scored from zero to two; zero indicates that a person is unable to perform the task, while two means that the performance is normal. The maximum score is 28 .
Functional mobility will be evaluated by the Dynamic Gait Index (DGI), which measures dynamic balance, mobility, activities of daily living, and the risk of falls. This scale consists of eight tasks involving gait in different sensorial contexts, including level surfaces, changes in gait speed, horizontal and vertical movements of the head, walking over and around obstacles, turning on their own body axis, and up and down stairs. Each item is scored from zero to three; zero indicates gait with severe impairment, while three indicates normal gait. The maximum score is 24 points, and a score of 19 or less predicts risk for falls .
Gait will be assessed by Functional Gait Assessment (FGA), which consists of 10 items, seven of which include items that comprise the DGI, with additional tests: posterior gait, gait on the basis of reduced support, and gait with closed eyes. Each item is scored from zero to three, in which a score of zero indicates an inability to perform the task, while three is normal. According to the author, the best score is the maximum of 30 .
The analysis of the dual task will be evaluated by the Five Times Sit-to-Stand Test (SST) and 10-Meter Walk Test (10WT). The SST will be performed according to the description of Duncan, Leddy, and Earhart . The individual will sit in the center chair, with back straight, feet parallel, and arms folded across the chest; they will be asked to get up and sit straight as soon as possible five times. A verbal command will be given to start and end the test, and during the test, they will be not given any form of incentive.
The 10WT will be realized in single and dual tasks. Participants will cross a distance of 10 m as described by Novaes, Miranda, and Dourado . To eliminate the acceleration and deceleration components, the participants will be instructed to begin walking 1.2 m before the beginning of the course and to finish 1.2 m after the end of the course at usual speed. For both the SST and 10WM, in the single-task condition, it will record the time in seconds to complete the route. In the dual-task condition, it will measure the task execution time (in seconds) and the number of words spoken by the patients during the test.
Cognition will be evaluated by the Montreal Cognitive Scale (MoCA). The instrument assesses different cognitive domains, such as visuospatial and executive functions, namely, memory, attention, language, abstraction, delayed recall, and guidance. The total score of the scale is 30, and scores equal to or higher than 26 indicate normal performance .
Quality of life will be assessed by the Brazilian version of the Parkinson’s Disease Questionnaire (PDQ-39). It comprises 39 items divided into eight dimensions: mobility, activities of daily living, emotional well-being, stigma, social support, cognition, communication, and body of discomfort. Each item is scored from zero to four. The overall score ranges from zero (no problem) to 100 (maximum problem), but lower scores indicate better perception by the individual of their quality of life .
To evaluate the performance game, the score for each game will be compared in each session, comparing the first session (pretest) with the last session (posttest) and retention (30 days after).
The individuals of both groups will participate in 14 training sessions (60 min, two times per week), during the “on” phase of dopaminergic medication.
The interventions were designed in order to guarantee the same intensity and quantity of exercises for both groups. The intensity of both group interventions will be adjusted to achieve moderate intensity. We hypothesize that both interventions will motivate the participants in different ways. As conventional physical therapy will be performed in groups, the social aspect will probably be strong in this group, while the novelty of the technology and the amusing nature of the interactive video games may motivate the participants of this group.
EPG-based training (control group)
The intervention of the control group (CG) will be developed in accordance with the practice recommendations in the guidelines for rehabilitation in Parkinson’s disease . Sessions will be conducted by a trained physical therapist with a maximum of 20 participants and an instructor-to-participant ratio of 1:2.
The protocol will be structured in order to stimulate (1) muscle flexibility, (2) muscle strength, (3) static and dynamic balance, (4) physical fitness, and (5) transfer through cognitive movement strategies (see Table 2 for details).
A comprehensive exercise program will be designed, with a focus on multiple systems involved in postural control, such as postural reactions, sensory integration, and biomechanical constraints. This program will also include gait training in dual tasks and emphasizing of the swing phase, as well as practice for fall-prone function.
The sessions will begin with 5 min of warming exercises in order to prepare individuals for the next exercises. The static and dynamic balance training will be taught for 15 min to perform specific exercises that challenge balance.
Physical conditioning will be conducted for 15 min. In order to assess the intensity of the exercises, we will use the Borg scale , which measures the effort level of the subject, as well as heart rate. Both measurements will be used before and after aerobic training. Muscle strength training will be performed for 15 min and will include progressive weight training involving the major muscle groups.
Training postural transfers will be performed for 10 min through specific daily activities that hinder the independence of individuals with PD. Finally, in the last 5 min, flexibility training will be performed in order to relax the muscles and cool down.
Kinect adventure-based training (experimental group)
The experimental group (EG) will practice, individually and randomly, four games using the Kinect Adventure program for Xbox 360, developed by Microsoft. The selection of games was done based on a previous pilot study .
The individuals will practice five attempt games: (1) 20,000 Leaks, (2) Space Pop, (3) Reflex Ridge, and (4) River Rush. Table 3 shows the training schedule for the games, together with their motor and cognitive demands. The trained physical therapists that will supervise the practice with the games will use the same verbal instructions during the sessions.
On the first day of training, there will be a demonstration of each game for the subject. Thereafter, individuals will have two attempts to familiarize themselves with the game and will receive the examiner’s instructions in order to correctly perform the movement to achieve the goal of the game.
After the familiarization phase, individuals will perform the training of the games for 14 sessions, without the interference from the physical therapist. The scores on the games will be recorded in each session of training. After 30 days of training, individuals will perform retention test that will consist of performing another block with five attempts for each game.
Below is the explanation of the steps of the research contained in Table 4, showing the content for the schedule of enrollment, interventions, and assessments.
Adverse effects of the intervention
Adverse events are defined as any sign of pain perceived by the participants due to the training protocol lasting for 2 days or more. In addition, the occurrence of fall or injury to other body parts during training sessions will be considered as adverse effects. Falls are defined as “an unexpected event in which the participants come to rest on the ground, floor, or lower level” .
No formal sample size calculation will be performed for this feasibility study. We will follow the sample size recommendations for pilot randomized controlled trials , and we aimed to recruit 18 participants for each group (i.e., total sample size of 36) considering a dropout of 20%. This number of participants is deemed adequate to provide sufficient information on key feasibility issues such as recruitment and acceptability of the intervention.
Randomization, allocation concealment, and blinding
The participants who fulfill the inclusion criteria will be randomly assigned to one of two groups (experimental or control group) with the same number of participants. Stratified randomization will be achieved by generating a separate block for each stage of PD stages (I, II and III). After all, individuals have been identified and assigned into the blocks, simple randomization will be performed within each block to assign individuals to one of the groups (EG or CG) . Two physical therapists blinded to treatment allocation will record all measurements. The evaluators will be blinded to the type of intervention that individuals will receive. Individuals will be oriented to not comment to the evaluators about any details of the intervention that they will receive.
The data analysis for the randomized controlled feasibility trial will be undertaken on an intention-to-treat basis. Demographic data will be presented to evaluate baseline comparability of the groups. Descriptive statistics will be used to characterize the groups at baseline and to present feasibility outcomes. Comparisons of the clinical outcomes between CG and EG will be performed to investigate the feasibility of this trial and to calculate estimates for likely effect sizes and 95% confidence intervals. Differences between the two groups will be presented as an unadjusted mean difference for continuous variables with their associated 95% confidence intervals; effect size will be calculated for paired t-test and p value with an alpha of 0.05, power of 0.8, and 0.5 correlations between baseline, at the end of the trial, and at follow-up. At the end of the study, data collection and statistical code will be publicly available, while maintaining the anonymity of the participants. All data will be analyzed using SPSS software version 22 (SPSS, Chicago, Illinois).
This protocol will clarify whether an intervention based on Kinect games will be feasible, safe, and acceptable for individuals with PD compared to conventional physical therapy. We will verify whether the proposed interventions can improve clinical outcomes as postural control, gait, cognition, and QoL of individuals with PD. Our hypothesis is that both Kinect games and conventional physical therapy will be feasible, safe, and acceptable for individuals with PD and will promote positive clinical effects. The results of this feasibility study will be used to design a future definitive clinical trial.
There is strong evidence of the effectiveness of conventional (or usual) physical therapy to improve the motor and non-motor functions in individuals with PD [9, 12, 13]. However, to our knowledge, this will be the first randomized clinical feasibility trial that will investigate the safety, feasibility, and clinical outcomes of the Kinect games compared to conventional physical therapy in individuals with PD.
Previous studies have shown that interactive video games can improve motor and cognitive functions of individuals with PD [11, 12, 16]. Video games have emerged as a new low-cost virtual reality tool that can be potentially used in rehabilitation. The games can stimulate multi-directional displacements, weight transfer, controlled movements close to stability limits, a high number of repetitions, auditory and visual feedback, attention, planning, decision-making, sustained concentration, promoting motivation, and commitment in the tasks performed [11, 16]. However, commercial video games have not been developed specifically for individuals with neurological disorders, which could hinder their safety and feasibility to this population.
This study protocol is an innovative clinical feasibility trial regarding the evaluation of the feasibility, adherence, safety, acceptability, and effectiveness of the use of the Kinect games in comparison to conventional physical therapy in individuals with PD. The final results will be used to calculate the sample size needed for a potential larger multicenter trial. Our study may contribute to the understanding of the potential benefits of the interactive Kinect video game technology in rehabilitation of individuals with PD.
10-Meter Walk Test
Balance Rehabilitation Unit
Center of pressure
Dynamic Gait Index
European Physiotherapy Guideline
Functional Gait Assessment
Microsoft Kinect sensor
Limits of stability
Mini Balance Evaluation Systems Test
Mini Mental State Examination
Montreal Cognitive Scale
Parkinson’s Disease Questionnaire
Quality of life
Five Times Sit-to-Stand Test
Curtze C, Nutt JG, Carlson-Kuhta P, Mancini M, Horak FB. Objective gait and balance impairments relate to balance confidence and perceived mobility in people with Parkinson’s disease. Phys Ther. 2016;96(11):1734–43. doi:10.2522/ptj.20150662.
Kudlicka A, Clare L, Hindle JV. Executive functions in Parkinson’s disease: systematic review and meta-analysis. Mov Disord. 2011;26(13):2305–15.
Fox SH, Katzenschlager R, Lim S-Y, Ravina B, Seppi K, Coelho M, et al. The Movement Disorder Society evidence-based medicine review update: treatments for the motor symptoms of Parkinson’s disease. Mov Disord. 2011;26(Suppl 3):S2–41.
Pompeu JE, Mendes FA, Silva KG, Lobo AM, Tde PO, Zomignani AP, et al. Effect of Nintendo Wii-based motor and cognitive training on activities of daily living in patients with Parkinson’s disease: a randomised clinical trial. Physiotherapy. 2012;98(3):196–204.
Goodwin VA, Richards SH, Taylor RS, Taylor AH, Campbell JL. The effectiveness of exercise interventions for people with Parkinson’s disease: a systematic review and meta-analysis. Mov Disord. 2008;23(5):631–40.
Nieuwboer A, Kwakkel G, Rochester L, Jones D, van Wegen E, Willems AM, et al. Cueing training in the home improves gait-related mobility in Parkinson’s disease: the RESCUE trial. J Neurol Neurosurg Psychiatry. 2007;78(2):134–40.
Keus SHJ, Bloem BR, Hendriks EJM, Bredero-Cohen AB, Munneke M. Evidence-based analysis of physical therapy in Parkinson’s disease with recommendations for practice and research. Mov Disord. 2007;22(4):451–60.
Keus SH, Munneke M, Graziano M, Paltamaa J, Pelosin E, Domingos J, et al. European Physiotherapy Guideline for Parkinson’s Disease. Information for people with Parkinson’s disease. KNGF/ParkinsonNet. 2014.
Tan SB, Williams AF, Kelly D. Effectiveness of multidisciplinary interventions to improve the quality of life for people with Parkinson’s disease: a systematic review. Int J Nurs Stud. 2014;51(1):166–74. Available from: https://doi.org/10.1016/j.ijnurstu.2013.03.009.
Tomlinson CL, Patel S, Meek C, Herd CP, Clarke CE, Stowe R, et al. Physiotherapy intervention in Parkinson’s disease: systematic review and meta-analysis. BMJ 2012;345(August):e5004–e5004.
Tomlinson C, Patel S, Meek C, Clarke SR, Shah L, et al. Physiotherapy versus placebo or no intervention in Parkinson’s disease (review). Cochrane Database Syst Rev. 2012;8(8):CD002817.
Lamotte G, Rafferty MR, Prodoehl J, Kohrt WM, Comella CL, Simuni T, et al. Effects of endurance exercise training on the motor and non-motor features of Parkinson’s disease: a review. J Parkinsons Dis. 2015;5(1):21–41.
Petzinger GM, Fisher BE, McEwen S, Beeler JA, Walsh JP, Jakowec MW. Exercise-enhanced neuroplasticity targeting motor and cognitive circuitry in Parkinson’s disease. Lancet Neurol. 2013;12(7):716–26. Available from: https://doi.org/10.1016/S1474-4422(13)70123-6.
dos Santos Mendes FA, Pompeu JE, Lobo AM, da Silva KG, Oliveira Tde P, Zomignani AP, et al. Motor learning, retention and transfer after virtual-reality-based training in Parkinson’s disease—effect of motor and cognitive demands of games: a longitudinal, controlled clinical study. Physiother. 2012;98(3):217–23. Available from: https://doi.org/10.1016/j.physio.2012.06.001.
Galna B, Jackson D, Schofield G, McNaney R, Webster M, Barry G, et al. Retraining function in people with Parkinson’s disease using the Microsoft kinect: game design and pilot testing. J Neuroeng Rehabil. 2014;11(1):60.
Pompeu JE, Arduini LA, Botelho AR, Fonseca MBF, Pompeu SMAA, Torriani-Pasin C, et al. Feasibility, safety and outcomes of playing Kinect adventures! For people with Parkinson’s disease: a pilot study. Physiother. 2014;100(2):162–8.
Gelb D, Oliver E, Gilman S. Diagnostic criteria for Parkinson disease. J Neurol Neurosurg Psychiatry. 1999;56:33–9.
Goetz CG, Poewe W, Rascol O, Sampaio C, Stebbins GT, Counsell C, et al. Movement Disorder Society Task Force report on the Hoehn and Yahr staging scale: status and recommendations. Mov Disord. 2004;19(9):1020–8.
Brucki SMD, Nitrini R, Caramelli P, Bertolucci PHF, Okamoto IH. Sugestões para o uso do mini-exame do estado mental no Brasil. Arq Neuropsiquiatr. 2003;61(3 B):777–81.
Lipp MM, Batycky R, Moore J, Leinonen M, Freed MI. Preclinical and clinical assessment of inhaled levodopa for OFF episodes in Parkinson’s disease. Sci Transl Med. 2016;8(360):1–11.
Franchignoni F, Horak F, Godi M, Nardone A, Giordano A. Using psychometric techniques to improve the balance evaluation systems test: the mini-bestest. J Rehabil Med. 2010;42(4):323–31.
Dye DC, Eakman AM, Bolton KM. Assessing the validity of the dynamic gait index in a balance disorders clinic: an application of Rasch analysis. Phys Ther. 2013;93(6):809–18.
Wrisley DM, Marchetti GF, Kuharsky DK, Whitney SL. Reliability, internal consistency, and validity of data obtained with the functional gait assessment. Phys Ther. 2004;84(10):906–18.
Duncan RP, Leddy AL, Earhart GM. Five times sit-to-stand test performance in Parkinson’s disease. Arch Phys Med Rehabil. 2011;92(9):1431–6.
Novaes RD, Miranda AS, Dourado VZ. Usual gait speed assessment in middle-aged and elderly Brazilian subjects. Rev Bras Fisioter. 2011;15(2):117–22.
Duro D, Simoes MR, Ponciano E, Santana I. Validation studies of the Portuguese experimental version of the Montreal Cognitive Assessment (MoCA): confirmatory factor analysis. J Neurol. 2010;257(5):728–34.
Carod-Artal FJ, Martinez-Martin P, Vargas AP. Independent validation of SCOPA-psychosocial and metric properties of the PDQ-39 Brazilian version. Mov Disord. 2007;22(1):91–8.
Borg G, Dahlstorm H. The reliability and validity of a physical work test. Acta Physiol Scand. 1962;55:353–61. doi:10.1111/j.1748-1716.1962.tb02449.x.
Tinetti ME, Williams CS. Falls, injuries due to falls, and to the risk of admission to a nursing home. N Engl J Med. 1997;337(18):1279–84.
Arain M, Campbell MJ, Cooper CL, Lancaster GA. What is a pilot or feasibility study? A review of current practice and editorial policy. Med Res Methodol. 2010;10(67):1–7.
Suresh K. An overview of randomization techniques: an unbiased assessment of outcome in clinical research. J Hum Reprod Sci. 2011;4(1):8–11. doi:10.4103/0974-1208.82352.
Dos Santos Mendes FA, Arduini L, Botelho A, Da Cruz MB, Santos-Couto-Paz CC, Pompeu SMAA, et al. Pacientes com a Doença de Parkinson são capazes de melhorar seu desempenho em tarefas virtuais do Xbox Kinect®: “Uma série de casos.”. Motricidade. 2015;11(3):68–80.
The authors thank Fundação de Amparo à Pesquisa do Estado de São Paulo and Conselho Nacional de Desenvolvimento Científico e Tecnológico for the financial support. We are grateful to the Rosana Andreotti for providing their valuable clinical support.
This study was supported by Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP), process number 2014/22348-1. This funding source had no role in the design of this study. It will also not participate in the execution, analyses, interpretation of the data, or decision to submit results.
Availability of data and materials
The database will be available for this article if necessary.
Ethics approval and consent to participate
The study was approved by the Ethics Committee of the Medical School of the Federal University of São Paulo (CAAE: 08885912.1.0000.5505) and registered in ensaiosclinicos.gov on February 25, 2016, at 3:32 p.m. (RBR-27kqv5).
In accordance with Medical School of the Federal University of São Paulo guidelines, written informed consent will be obtained from each individual who agrees to participate. (Informed consent term (Additional file 2)).
Consent for publication
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.