Literature Review Volume 10 Issue 4
1Physiotherapist, Greece
2Biomechanist, Head of Gait & Motion Analysis Center, Greece
3Doctor of Physical & Rehabilitation Medicine, Scientific Director of ELEPAP Athens, Greece
Correspondence: M Pyrgeli, Doctor of Physical & Rehabilitation Medicine, Scientific Director of ELEPAP Athens, Greece
Received: July 12, 2018 | Published: July 24, 2018
Citation: Loizos AK, Gkrimas G, Pyrgeli M. The effectiveness of virtual reality and treadmill training in Parkinson’s disease patients. MOJ Orthop Rheumatol. 2018;10(4):274-280. DOI: 10.15406/mojor.2018.10.00432
Background: Parkinson’s disease (PD) in a neurodegenerative disorder that is mainly managed with medication and conventional physiotherapy. Virtual reality (VR) and treadmill training (TT) can be used in rehabilitation programs for PD patients to improve their motor control, balance, functional mobility and gait problems.
Objective: The aim of this review was to collect the current evidence on these interventions and assess their effectiveness on patients with Parkinson’s disease.
Methodology: After electronic searches through databases and search engines, 19 articles were identified as suitable for the review focusing on a total of 952 PD patients participating in either VR or TT interventions.
Main Results: The VR intervention significantly improved balance, gait, daily life activities and quality of life of PD patients compared to a passive control group and increased avails on stride and step length compared with an active control group (p-value<0.05). Similarly, the TT intervention was shown to significantly improve gait speed and balance performance of PD patients compared to passive control group and gait speed, stride length and walking distance compared with an active control group (p-value<0.05).
Conclusion: Both VR and TT approaches have beneficial effects on PD patients and the interventions should further explored, enhanced and applied to improve the rehabilitation process of the patients.
Keywords:Parkinson’s disease, virtual reality, treadmill training
Parkinson’s disease (PD), was described by James Parkinson and it is the second most common progressive neurodegenerative disorder after Alzheimer’s disease.1 It is characterized by the degeneration of dopaminergic neurons within the substantia nigra, which leads to dopamine loss in the striatum and subsequently to motor deficits. By the time of death, approximately 50-70% of the neurons in this region of the brain have been lost compared to healthy individuals.2
It is estimated that there are approximately 10million PD patients worldwide (less than 1% of whole population), but generally the epidemiology data are limited in many countries.3 A systematic review.4 which included 15 countries and individuals over 50years old, showed 4.1-4.6million people living with the disease. These numbers are expected to increase to 8.7-9.3millions until 2030. In the United States of America there are ca. 1million PD patients.3 in UK approximately 130.000,5 in Germany ca. 275.0006 while Western Europe has prevalence 160/100.0003 and China 190/100.000 people.7 PD usually appears at the age of 55-75. At younger ages (40-49) the prevalence is 41/100.000 and it gradually increases until it reaches 1.903/100.000 individuals over the age of 80. Regarding gender, there is a slight preponderance of evidence in male population at the majority of the age groups.8 The cardinal signs of PD are related to motor problems, grouped under the acronym TRAP, and include Tremor, Rigidity, Akinesia and Postural instability. Resting Tremor is decreasing on action and is the most common symptom affecting mainly the hands but also chin, jaw and lips. Rigidity is increased resistance and the existence of the ‘cogwheel’ phenomenon. Akinesia (bradykinesia) refers to the slowness of voluntary movements and reaction times and is also associated with difficulties in planning and performing simultaneous tasks. Postural instabilityis accompanied by an increased risk of falling.1,3,9,10 Gait impairment, which is interdependent with postural stability, is also frequent as PD progresses, including decreased walking speed, stride and step length, increased cadence and freezing of gait (i.e. inability to initiate gait by producing effective steps or complete stepping cessation during gait).11 Additionally, non-motor symptoms may be observed such as cognitive impairment, dementia (~30% of patients), depression (~40% of patients), other sensory symptoms (paresthesia, anosmia), dysautonomia (orthostatic hypotension, sexual dysfunction) and sleep disorders.1,3,9,12
Virtual reality (VR) technology can be used as a new rehabilitation tool in a variety of conditions and with different ways of application in order to achieve optimal motor learning and cognitive practice, in a safe environment, by providing feedback.13 VR is recommended for practicing new motor strategies and abilities that have been lost due to a disease or an injury. VR, by providing the opportunity to the individual to replicate scenarios from their daily life, challenges and motivates them and thus increases the possibilities for functional activities in real life.14
Treadmill training (TT) is a new electromechanical device that can be used in Parkinson’s patients’ rehabilitation program and more generally in hemiparetic individuals.15 TT focuses mainly on gait problems, such as gait speed and sufficient step length, and has been found to improve these parameters.10 Additionally, if the patient faces strength and balance problems there is the option for bodyweight support (BWS) during TT to facilitate them during the procedure.15 Since the effectiveness of VR and TT on PD patients is not clear but potential advantages exist, a literature review is required to summarize the benefits of each intervention. Therefore, the aim of this review is to summarize and assess the effectiveness of VR and TT as treatments on patients with Parkinson’s disease.
A computerized literature search of electronic databases was performed on Cochrane, PEDro, Pubmed and Science Direct by two researchers independently, using the keywords: Parkinson AND virtual reality; Parkinson AND treadmill training. In total 677 relevant articles were identified and initial screening excluded 568 of them because they did not meet the predefined inclusion criteria as described below. Two additional articles were identified from crosschecking of references, citations in review papers.
The inclusion criteria are stated below: (1) the article needed to be a Randomized Control Trial (RCT); (2) the article needed to have been published from 2007 until 2017; (3) the patients should have been diagnosed with PD; (4) the interventions could be either VR or TT; (5) the adults needed to be 55 year or older and (6) the article needed to be in English. Following full-text accession of the remaining 109 articles; 27 were included in this review together with the two articles from additional sources (Figure 1). Before proceeding, the quality of the articles was assessed using the PEDro scale and all of them were found to be of high (PEDro score 6-10) or fair (PEDro score 4-5) quality (Tables 1) ( Table 2).
Sample characteristics
A total of 952 PD patients were included, 560male (58.8%) and 392female (41.2%), with a mean age of 67.05 (±7.74)years. The majority of the trials had small sample sizes:24 trials involved fewer than 50 participants16‒39 with 11 out of them involving fewer than 25 PD patients17,22,27‒29,32,35‒37,39,40 while only 5 trials had over 50 participants.10,41‒44
All studies except one32 clearly specified inclusion and exclusion criteria. The stage of the disease varies as 4 studies included participants in the early stages,16,22,24,30 12 studies early to moderate,10,17,21,25,26,28,29,33,34,38,39,42 6 studies mild to moderate,19,20,23,31,36,44 3 studies moderate,18,37,41 2 studies mild to severe,27,35 and 1 study included participants from all the stages of the disease.43 Participants that were medically unstable, suffered from another neurological condition apart from PD, orthopedic issues, cardiopulmonary problems, visual or audial deficits, cognitive impairment (MMSE<24), dementia, depression or had history of Deep Brain Stimulation (DBS) were excluded from all trials.
Interventions
The main focus of all trials was motor rehabilitation, with 5trials focusing exclusively on the improvement of balance performance, 9 focusing exclusively on the improvement of gait performance (spatiotemporal parameters) and 15 on both. Additionally, the total dose of therapy varied among studies, ranging from 6hours to 72hours, at a frequency of 2–7times/week and spread over a total period 4–24weeks. Finally, outcome measures were collected at baseline and post-intervention. The follow-up period differs, as for most trials it was 1–4months and only two trials reported a follow-up after the longer period 6 and 12months.
The main findings of studies applying VR on PD patients are: 1) significant improvement in balance, gait, daily life activities and quality of life compared to a passive control group; 2) increased avails on stride and step length compared with an active control group; 3) similar effects on balance, ADL activities, gait, cognitive function and quality of life compared with an active intervention group (Table 1).
The main findings of studies applying TT on PD patients are: 1) significant improvement of gait speed and balance performance compared to passive control group; 2) significant benefits on gait speed, stride length and walking distance compared with an active control group; 3) similar effects on balance performance, step length, step width and cadence compared with an active intervention group (Table 2).
Primary outcomes
Gait
The short-term effect of VR treatment on gait compared to a passive control group was assessed with the use of GAITRite walkway and Functional Gait Assessment that was measuring stride velocity and length during obstacle crossing or without obstacles and walking ability (FGA). For all characteristics, there was a significant improvement in the VR group compared to the passive control group (obstacle crossing stride velocity and length p<0.01; FGA, stride velocity and length p<0.05).33,34 No long-term comparison was included.
The short-term effect of TT on gait compared to a passive control group was assessed with the use of 10-meter walk test, 6-minute walk test, Dynamic Gait Index, GAITRite or 3D kinematic analysis that was measuring speed, stride-step length, step width, distance and cadence. Speed was found significantly improved (p<0.05), similarly to stride length, step length and distance (p<0.01, p<0.01 & p<0.05 respectively); step width and cadence showed no improvement in the TT group compared to passive control group.10,16,17.22,30,37 No long-term comparison was included.
The short-term effect of VR treatment on gait compared to an active control group was assessed with the use of GAITRite walkway, Dynamic Gait Index, FGA, 10m walk test and 6-minute walk test that was measuring stride velocity and length during obstacle crossing or without obstacles and walking ability (FGA). Gait performance and speed were significantly improved in both VR and active control group, while step and stride length showed increased improvement in the VR group.31,33,34,36,39,43,44 The long-term effect of VR on gait with an active control group was assessed with GAITRite walkway that measured gait velocity and stride length 3months and 12months after treatment. In both follow-ups gait velocity was improved equally in both VR and active control, while stride length was improved only in the VR group.43
The short-term of TT on gait compared to an active control group was assessed with the use of 10-meter walk test, 6-minute walk test, GAITRite, 3D kinematic analysis or the training treadmill was measuring gait speed, stride-step length, step width, cadence and distance. Gait speed, stride length and distance were significantly improved in TT groups (p<0.05), while step length, step width and cadence were equally improved in both TT and active control group. Additionally, robotic gait intervention demonstrated similar improvements with TT, high intensity TT showed fewer benefits in comparison with intermediate and low intensity, while the combination on TT with visual or/and audial cues had improved benefits.16,18,19,21,23,25,28‒30,35,38,41,42 The long-term effects of TT (6months) in comparison to an active control group was assessed with the use of 10-meter walk test and 10-minute walk test and showed lasting positive effects on gait speed and walking distance (p<0.05 & p<0.001).21
Balance
Τhe short-term effect of VR treatment on balance performance compared to a passive control group was assessed with the use of Timed Up and Go, Berg Balance test and Sensory Organization Ability (indirectly) and the results showed the significant benefits of VR intervention (TUG p<0.01; BBS, vision and vestibular p<0.05).32‒34 The short-term effect of TT on balance compared to a passive control group was assessed with the use of Berg Balance Scale (BBS), Timed Up and Go (TUG) and Activities-specific Balance Confidence (ABC) and the results demonstrated significant improvements on balance performance compared to a passive control group (p<0.05).10,17,30
The short-term effect of VR treatment on balance performance compared to an active control group was assessed with the use of Berg Balance Scale, Timed Up and Go, Single Leg Stance, Limits of Stability, Activities-Specific Balance Confidence and Sensory Organization Ability (indirectly) and the results demonstrated equally significant improvements in both groups24,31,33,34,36,43,44 solely Ribas et al.39 showed a superior effect of VR on balance. The long-term effect of VR on balance with an active control group was assessed by ABC scale and SLS and balance was measured on 3months and 12months follow-up. The results showed significant improvement in favor of VR in ABC scale after both 3 and 12months, while SLS did not show any improvements.43
The short term effect of TT on balance performance compared to an active control group was assessed with the use of Berg Balance Scale (BBS), Limits Of Stability (LOS), Functional Gait Assessment (FGA), Timed Up and Go (TUG), Single Leg Stance (SLS), Rapid-Step up Test (RST), Motor Control Test (MCT) and Sensory Organization Test (SOT) and Activities-specific Balance Confidence (ABC) and the results demonstrated similar to superior results in favor of the TT group.19,21,25,28,29,35,38,41 The investigation of the long-term effects of TT compared to an active control group showed significant improvement in favor of TT (TUG p<0.01) in 6-months follow-up.21
Secondary outcomes
ADL–QoL–muscle strength (VR vs passive control group)
The secondary outcomes of VR intervention compared to a passive control group were assessed by Lee et al.32 with the use of Modified Barthel Index and the results showed significant differences in the ADL in favor of VR (p<0.05). Liao et al.33 measured quality of life with the use of PDQ-39 and showed significant benefits to the VR group compared to a passive control group (p<0.01). Additionally, a significant improvement was found regarding strength (p<0.05) by Liao et al.34 using a dynamometer.
Global motor function–cognition–fatigue (TT vs passive control group)
The secondary outcomes of TT compared to a passive control group were assessed by Canning et al.,22 Nadeau et al.,30 Picelli et al.37 on global function with the use of UPDRS and only the latter found significant results (p=0.013) in favor of TT, while the others showed similar effect. Cognition was assessed by the use of Mini-Mental Scale Examination (MMSE) and Montreal Cognitive Assessment (MCA) with improvement on one of the measures (p=0.012), while fatigue was measured by Canning et al.22 and was found significantly improved (p<0.05) by the use of Visual Analogue Scale to Evaluate Fatigue Severity (VAS-F).
Depression–QoL–falls (TT vs passive control group)
Assessment of depression and falls between TT and a passive control group showed a positive trend via Beck Depression Index (BDI),30,37 while Cakit et al.10 demonstrated improvement regarding falls with the use of Falls Efficacy Scale (FES) (p<0.01). No differences were found between the groups on the measurement of quality of life with PDQ-39.
Global motor function–fatigue (VR vs active control group)
UPDRS-III and Fatigue Severity Scale (FSS) were used for the assessment of global motor function and fatigue between VR treatment and an active control group. Van den Heuvel et al.31 and Ribas et al.39 found significant benefits in favor of VR interventions in UPDRS-III and FSS respectively, while Pompeu et al.24 found no significant differences between interventions.
Quality of life (VR vs active control group)
Quality of life was measured by the use of PDQ-3926,31,33,36 or PDQ-8.44 In the majority of trials, the results showed similar improvement; only Pedeira et al.26 reported that the benefit was greater for the VR intervention.
ADL–Cognitive function–muscle strength (VR vs active control group)
Measurements of ADL with UPDRS-II,24 cognitive function with Montreal Cognitive Assessment24 and muscle strength with a dynamometer34 indicating significant improvements in both VR group and active control group.
Global motor function–fatigue–falls–QoL (TT vs active control group)
Global motor function was measured with UPDRS and the results are similar or superior in favor of the TT group.18,21,25,30,35,41 Fatigue was found significantly improved (p=0.001) in the Parkinson’s Fatigue Scale (PFS)38 and falls were also improved as shown by the FES (p<0.001)38 and SOT-Falls (p=0.045).29 QoL showed similar results in Nadeau et al.30 and Carda et al.10 and only in one trial29 there were significant results in PDQ-39 (p=0.016).
Cognition–depression–muscle strength (TT vs active control group)
No significant results were noted between the groups on the assessment of cognition with MMSE, depression with BDI30 and of muscle strength with 1-Repetition Maximum.42 The rationale of using VR and TT is to provide external cues, such as visual, auditory, somatosensory and proprioceptive feedback, and cognitive stimulation while in the same time presenting a motivating stimulus, which together with the repetitive nature of the games are facilitating motor relearning and promote musculoskeletal disorders’ rehabilitation.45‒47
In VR, by watching the movements of their avatar and receiving the appropriate feedback, patients can challenge their postural control, strengthen the stimulation of proprioceptors and the vestibular system and possibly bypass their motor deficiency and improve motor response.48,49 So VR is enabling the increased attention and focus on mobility in order to perform in the game and the exploitation of the motor muscle system, cerebellum and oculomotor.47 TT, without the combination of visual or audial cues, is beneficial for postural control and the continuous stimulation provided acts as an external pacemaker, improving body alignment and walking rhythm.50,51 In combination with audial or/and visual cues the external rhythm benefits even more, since the signals can be used to trigger intact pathways and bypass pallidocortical circuit to facilitate movement.40 The visual feedback can create modifications in the optical flow that lead to modification in the gain pattern52 and the stimulus can be used as an anchor for the patient to maintain a stable position and focus on the task.53 Additionally, the cursive speed maintain by the treadmill can restrict the patients and help in the normalization of stride-to-stride gait pattern.54 Physical exercise by the use of video games or treadmill is beneficial as the intensity of training and feedback can be tailored in order to create the most suitable, individualized therapeutic protocol to facilitate motor learning.55 The high number of repetitions of target-movements may also favor learning and, in extent, lead to changes of brains’ architecture.39 TT may be a way to apply many gait cycle repetitions to get results, even though it may be considered a forced-use-therapy as the patient is forced to walk faster than he would choose if he was over ground.56 This forced therapy may lead to changes in central motor control processes due to increases in cortical and subcortical activation.57
Patients with impaired basal ganglia might learn to integrate vestibular, visual and somatosensory information through the cerebellum, which would influence the brain stem and spinal cord to improve postural control. Basal ganglia are important to maximize the reward and internal feedback, while cerebellum was suggested to be responsible for supervised learning and feedforward. Additionally, cerebellum is important to assist in postural control by executing the vestibular spinal reflex, after integrating multiple sensory information from audial, visual and somatosensory components.58 The similar results between VR or TT and conventional physiotherapy can be attributed to the nature of the exercises. The programs were using the same motor demands and so there were leading in similar training effects.59
VR exercise demonstrated increased benefits for step and stride length and TT in gait speed and stride length, whose decrease is a main symptom of PD also linked to increased gait variability and double-stance time.60 Gait patterns may still be generated normally while a reduction in automaticity is observed, therefore there is a need to bypass automatic control mechanisms.61 The observed improvement may be attributed to the fact that VR and TT provides a more accurate and complete motor feedback and so amplitude stride correction is better that in convention physiotherapy. Postural instability in PD is considered one of the most incapacitating motor symptoms that dopaminergic therapy does not significantly improve.62 According to Schoneburg et al.63 there are four control systems involved in managing balance: 1) static balance; 2) reactive postural adjustments; 3) anticipatory postural adjustments; 4) dynamic balance. In patients with PD, all these systems are possibly affected and it is not clear whether VR or TT exert their positive effects by improving general balance or selectively influencing specific postural control systems.
Balance performance is mainly estimated by Berg Balance Scale which is a robust measure,64 but is also characterized by substantial ceiling and floor effects.65 The use of more sensitive tools, such as objective posturography techniques66 or the novel clinical test Mini-BESTest,67 can reveal smaller balance alternations, uncover balance improvements in PD patients and clarify the degree of effectiveness of VR-based exercises and TT in future studies. Barry et al.68 suggested that VR rehabilitation has some drawbacks, such as cyber-sickness, inappropriate level and/or content of exercises and cognitive overload. All can be overcome with the use of customized, PD-specific VR applications, which could even be proven superior to commercial VR systems.
The possibility of a home-based VR system or TT for exercise is a great advantage, even though safety issues may occur, as it will add flexibility on patient rehabilitation and may increase the exercise dependence for patients that tend to drop out.69 For this application it is important to investigate whether the existence of minimum supervision can yield the same quality of treatment.70 Furthermore, the home-based VR treatment should ensure that game performance will not depend on compensatory movements, so patients will not prioritize game scores over improvement of quality of movement, since gaining points and achieving higher scores provide increasing motivation for practice.
With the exception of of Cakit et al,.10 Picelli et al,.41 Shulman et al,.42 Shen & Mak,43 Gandolfi et al,.44 all others trials had small sample sizes reflecting the low certainty in the generalization of the outcomes of interest. Randomization was performed in the vast majority of the studies,32 while allocation concealment in almost half of the studies.10,16‒19,23,25,28‒30,32,38,41,42,44 Blinding of the outcome assessors was performed in almost all the studies18,25,32,35 while blinding of the subjects and therapists was not applicable due to the nature of the VR and treadmill interventions. Almost 1/3 of the studies that incurred subject losses did not perform an intention-to-treat analysis; Liao et al,.33 Liao et al,.34 Harro et al,.28 Harro et al,.29 had limited dropout (1 subject), Shulman et al.42 had 16% drop-out, Nadeau et al.30 had 24%, Pedreira et al.26 had 27%, Schlick et al.35 had 35% and Cakit et al.10 had 43%.
Additional high-quality studies with larger sample sizes should be performed to investigate more extensively the potential benefits of VR and TT as also the mechanism of its influence on PD patients. The standardization of the measured outcomes together with the training intensity, frequency and duration is necessary, since consolidation period is necessary for motor learning.71 Since high intensity of TT might not be required to achieve significant improvements, later stages of PD patients can benefit from lower intensity training. Furthermore, longer follow-up periods should be applied to investigate long-term effects of VR and TT. Also both should be investigated at different stages of the disease in order to identify opportunities to delay PD progress in early stages or understand whether it should be applied with caution in later stages because of the cognitive impairment. Additionally, testing the interventions during both the ‘on’ and ‘off’ periods of PD medication is necessary to eliminate its confounding effects. Differences between customized and commercial VR need to be defined to differentiate if one is more suitable than the other.
Finally, the combination of TT and VR is proposed to improve gait parameters and balance in PD patients. Mirelman et al.72 has already showed benefits through this combination, in gait speed, stride length and cognition, while there are also demonstrated benefits in functional gait training in children with cerebral palsy73 and improvements in gait and balance in early stroke patients.74,75
Both VR and TT have shown positive results in the rehabilitation of PD. Both can improve gait parameters as walking speed and stride length and also balance seems to be affected positively. The mechanism and the degree of affection is not yet clear, so there is a need for further research with larger sample and standardized parameters to fully integrate VR and TT into the rehabilitation of PD patients.
None
The author declares that there is no conflict of interest.
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