ABSTRACT
This systematic review examined the evidence about the effects of virtual reality (VR) on dual-task gait training in Parkinson's disease (PD).
Methods: this study (PROSPERO registration CRD42019114736) aimed to answer the question: “Is VR beneficial for dual-task gait training in patients with PD?” We searched for studies from 2008 to 2018 on Medline/PubMed and Web of Science/Web of knowledge databases. The keywords were Parkinson AND gait training AND virtual reality OR Parkinson AND gait training AND game. A total of 55 articles were retrieved, of which 11 systematic reviews, 11 opinions, letters to the editor, posters or conferences abstracts and 17 studies not evaluating the effects of VR gait training were excluded. Three further studies addressing VR dual-task gait training in PD (found in references of studies selected) were also included. Therefore, 19 studies were included and analysed.
Results: all studies reported gait improvement after VR training. Many clinical scales were used, hampering comparison of the effects of each protocol.
Conclusion: VR dual-task gait training should be part of rehabilitation protocols for PD. The studies showed that VR training was effective, although specific guidelines have not yet been established.
Key words: Parkinson's disease; gait; cognition; virtual reality; videogames
RESUMO
Essa revisão sistemática examinou as evidências sobre os efeitos da realidade virtual (RV) no treinamento de marcha com tarefa-dupla na doença de Parkinson (DP).
Métodos: esse estudo (registro PROSPERO: CRD42019114736) visou responder à questão: “A RV é benéfica no treinamento de marcha com tarefa-dupla em pacientes com DP?” A busca, de 2008 a 2018, foi feita nos bancos de dados Medline/PubMed e Web of Science/Web of Knowledge. Os descritores foram Parkinson, treinamento de marcha, realidade virtual e jogos eletrônicos. Foram encontrados 55 artigos e eliminadas 11 revisões sistemáticas, 11 cartas ao editor, resumos de pôsteres ou conferências e 17 estudos que não avaliaram os efeitos do treinamento da marcha em RV. Três outros estudos (encontrados nas referências dos estudos selecionados) foram incluídos porque também abordaram o treinamento de marcha com dupla tarefa de RV em DP. Portanto, 19 estudos foram incluídos e analisados.
Resultados: todos os estudos relataram melhora da marcha após o treinamento com RV. Muitas escalas clínicas foram usadas e foi difícil comparar os efeitos de cada protocolo.
Conclusão: RV deve fazer parte dos protocolos de reabilitação em DP. O treinamento com RV é eficaz, embora recomendações específicas ainda não tenham sido estabelecidas.
Palavras-chave: doença de Parkinson; marcha; cognição; realidade virtual; videogames
Parkinson's disease (PD) is the second most common neurodegenerative disease, characterized by motor and cognitive symptoms. Executive dysfunction can be present from the early stages of PD. These deficits increase falls risk and reduce functional independence, especially in dual-task performance. Executive function has been defined as a group of abilities involved in solving problems, reaching goals and meeting environmental demands,1,2 such as cognitive flexibility and decision-making.3 More than 50% of patients with PD have frontal lobe dysfunction, which compromises attention, executive function, spatial perception and implicit/episodic memory.4
Patients with PD have a poorer standing balance than healthy individuals.5,6 While performing a secondary task associated with ambulation, patients with PD have lower gait speed, shorter step length and freezing of gait episodes. Postural control deficits result in decreased mobility and reduced functional independence,6 e.g. during the sit-to-stand-to-sit sequence, especially when under the dual-task condition. Therefore, patients with PD must deal with the disruption of their motor and cognitive performance when tackling the cognitive-motor demands of their tasks of daily living.6,7
Many studies have shown the importance of visual, auditory, verbal and mnemonic cues (e.g. mental practice). Although cues help attention engagement during balance and gait tasks2,4,8 they may compete with other cognitive components required in daily life dual- or multiple-tasks. For example, while crossing a street, the patient may evoke visual or auditory cues to maintain step length or cadence. However, this strategy may compete with the intrinsic visual and auditory stimuli of traffic lights, pedestrians and vehicles.
Dual-task training improves cognitive-motor performance and directs attentional focus on specific outcomes. This is important because of the similarity with everyday tasks, when people focus on outcomes rather than on maintaining balance.9 Virtual reality (VR) provides dual-task training and requires information processing, attentional shifting, sensory integration, motor planning, while VR may also provide feedback to enhance motor learning.9,10
Postural control requires the integration of visual, somatosensory and vestibular systems. Executive function contributes in adapting inputs to meet environmental demands. In older adults and patients with PD, the reduced speed of sensory processing, motor planning and muscle activation results in increased attentional demands to maintain stability.11 VR training may optimise all these components and, therefore, motor learning. It may also be safer and more motivating than conventional approaches.11-13 Thus, VR training may improve adherence by offering personalised and fun exercises, with progressive cognitive overload.14
VR provides complex environments for balance and gait training of patients with PD. Improvements in step and stride length, gait velocity, functional independence, quality of life, and cognitive function have been reported after VR interventions with PD patients.14,15. Therefore, VR can play an important role in motor control and learning in PD.16 Several VR dual-task gait training protocols have been proposed for patients with PD, but the effects are not clear. This systematic review aimed to examine and analyse the evidence on VR dual-task gait training in PD.
METHODS
This systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist. The study was registered on the International Prospective Register of Systematic Reviews (PROSPERO) under registration number CRD42019114736. Two researchers conducted the data search independently and blindly. Another three researchers conducted the data review and all researchers discussed all cases of doubt. The study aimed to answer the question: “Is VR beneficial for dual-task gait training in patients with PD?”
The inclusion criteria were studies available on Medline/ Pubmed and Web of Science/ Web of Knowledge databases, which addressed VR dual-task gait training. The exclusion criteria were: studies that focused on drugs or surgery instead of dual-task training, literature reviews, abstracts and letters to the editor.
We searched studies published from 2008 to 2018 on Medline/ Pubmed and Web of Science/ Web of Knowledge databases. The keywords were Parkinson AND gait training AND virtual reality OR Parkinson AND gait training AND game.
The search was performed on August 26th, 2018. A total of 55 articles were retrieved , of which 11 systematic reviews, 17 studies not specifically evaluating the effects of VR dual-task gait training and 11 opinions, letters to the editor or conference or poster abstracts were subsequently excluded. The references of these sixteen studies were also analysed. Three further studies focusing on VR dual-task gait training in PD were also included. Therefore, 19 studies were included in the qualitative synthesis (Figure 1). Figure 1 shows all the steps of the systematic review and the reasons for study exclusions.
Studies included in systematic review, based on PRISMA criteria (2009): identification, screening, eligibility and studies included in review (n=19).
The studies were also scored with the Physiotherapy Evidence Database (PEDro). This database evaluates the quality of each study and the validity of their conclusions based on the Delphi list (Verhagen et al., 1998).17 This scale has 11 domains, which evaluate: 1. Eligibility criteria; 2. Random distribution of subjects in each group; 3. Secret allocation of subjects; 4. Similar groups regarding the most important prognosis; 5. Blind participation of subjects; 6. Blind participation of therapists; 7. Blind examiners; 8. At least one key result obtained in more than 85% of subjects; 9. Subjects received treatment or control condition; 10. Intergroup statistical comparisons have been performed for at least one key outcome; 11. Presence of precision and variability measures.
RESULTS
The 19 studies selected are summarized in Table 1. Several clinical scales were used, but the most frequent were Parkinson's Disease Questionnaire-39, Unified Parkinson Disease Rating Scale-III, Dynamic Gait Index and the 10-Minute Walk Test. Most studies described gait improvement after virtual reality training. The six-minute walk test, the Montreal Canadian Cognitive Assessment, the timed up-and-go test and the Berg Balance Scale were also used in evaluation protocols, but less frequently.
Table 2 shows the score on each domain of the PEDro database. The scores on PEDro ranged from 4 to 11, but 11 studies were scored as 8 or higher. Therefore, although protocols were variable, many studies showed high quality of evidence that supported VR dual-task gait training.
DISCUSSION
The present study investigated whether VR dual-task gait training would promote gait improvement in PD patients. Patients with PD experience loss of functional independence and quality of life and difficulties in activities of daily living. VR can increase motivation in rehabilitation programs, and improve gait, as observed in the nineteen studies from 2008 to 2018 included in the present review. Although the scores on the PEDro scale ranged from 4 to 11, 11 studies were scored as 8 or higher. Therefore, many studies showed high quality of evidence that supported VR dual-task gait training.
VR opens a wide range of possibilities of therapeutic approaches, and involves several types of stimuli (sensory, motor, cognitive, psychological). Thus, VR training provides several dual-task demands, characterizing one of the training premises. Therefore, VR may optimize gait training through posture and balance improvement and cognitive training.20,23,37 Most VR tasks are cognitive-motor, such as activities of daily living.6,7
Many studies included in the present review showed improvements in speed, step length and cadence of gait, measured by kinematic analysis and/ or clinical scales, such as the Dynamic Gait Index, Timed Up-and-Go, 6-minute walking test or 10-meter walking test (Espay et al., 2010;18 Mirelman et al., 2011;19 Esculier et al., 2012;20 Mhatre et al., 2013;21 Pompeu et al., 2014;22 Liao et al., 2015;25 Palacios-Navarro et al., 2015;27 Ginis et al., 2016;28 Yang et al., 2016;29 Strouwen et al., 2017;30 Gandolfi et al., 2017;31 Ferraz et al., 2018;32 de Melo et al., 2018;34 Alves et al., 201835). The improvement in gait speed may be attributed to higher motivation, or to the higher intensity (higher number of repetitions and/ or longer periods of training) promoted by the VR dual-task training. These training quality characteristics may also explain the more efficient cardiovascular adjustments, e.g. heart rate (de Melo et al., 201834).
Some authors reported improvement on static postural balance, as measured by the Berg Balance Scale, after VR dual-task gait training (Mhatre et al., 2013;21 Pompeu et al., 2014;22 Yang et al., 2015;29 Gandolfi et al., 201731). These protocols involved weight shifting and functional reach tasks, highly recommended in PD rehabilitation because they improve static and dynamic balance. The association of static and dynamic balance and gait speed improvement may explain the less severe PD motor symptoms after training, measured by the UPDRS-III motor score, as reported by Mirelman et al., 2011;19 Killane et al., 2015;24 Liao et al., 2015;25 Yang et al., 2015;29 Gandolfi et al., 2017;31 Ferraz et al., 2018;32 de Melo et al., 2018.34
VR dual-task gait training involves not only motor, but also cognitive training. Executive function, evaluated by parts A and B of the Trail-Making Test, improved in patients with PD after the training (Mirelman et al., 201119). Patients also reported improvement in PD symptoms (Sony et al., 2018)36 and in quality of life, assessed by the PDQ-39 (Pompeu et al., 2014;22 Liao et al., 2015;26 Yang et al., 2015;29 Ferraz et al., 2018;32 de Melo et al., 201834).
Some authors suggest that VR tasks can improve motor learning in rehabilitation because they activate mirror neurons. When patients with PD imitate actions, mirror neurons are stimulated, allowing improvements in balance, global mobility and functional abilities. In addition, VR improves attention as patients focus on specific demands of games by recruiting cognitive, motor, oculomotor, cerebellar and limbic loops.37,38
Patients with PD have difficulty performing dual- or multiple-tasks.5-7 This difficulty occurs because patients must focus on specific and accurate motor patterns. Thus, the premotor cortex is activated to compensate for basal ganglia damage and deficiency in dopamine production.38,39 Therefore, in dual-tasks, cortical resources process the motor and cognitive components in parallel.38-40 Patients with PD employ their cognitive reserves to perform gait even in single-tasks, and performance is seriously impacted in dual-tasks.41
Dual-task training should be part of the rehabilitation process of PD patients who have difficulty performing cognitive-motor tasks.42,43 Besides, patients in the initial stages of PD should perform dual-task training to prevent or delay these deficits.42 In a recent study, Fernandes et al. (2017)44 showed that the anticipatory postural adjustments during gait initiation were impaired in patients with PD. The authors reported an activation failure of the tibialis anterior muscle in both single- and dual-task conditions. Therefore, exercises that involve repeated tibialis anterior activation, such as step climbing,36 are important and should be included in rehabilitation programs for patients with PD. Song et al. (2018) combined VR with a step climbing task.36 Although patients reported mobility improvement, the authors failed to find a significant effect of VR step climbing training on TUG performance. Based on the study by Fernandes et al. (2017), an electromyographic-based analysis may be more sensitive for detecting postural control improvement than TUG, particularly in early-stage PD patients.44
The studies reviewed in the present study showed that VR dual-task training is effective, although the specific guidelines of dual-task protocols have not yet been defined.39 VR optimizes the benefits of dual-task training, such as task automation and more efficient task-related network integration.30 Visuomotor training can help the reorganization and maintenance of the normal circuitry that connects the motor cortex with the basal ganglia via the thalamus or cerebellum.43 Visuomotor training can involve temporal or spatial stimuli, which regulate and facilitate repetitive movements by providing explicit targets. Visual cues have immediate effects on gait and many studies shown that effects were retained and associated with a higher quality of life in PD.45-47
The study by Esculier et al. (2014)23 showed that lower limb corticomotor excitability increased during the observation, imagery and imitation of actions. Transcranial magnetic stimulation assessed motor evoked potentials in quadriceps femoris and soleus muscles before and after six weeks of training. The authors compared the effects of rehabilitation using Wii FitTM in PD patients with controls. Although only eight people were included in each group, significant improvements in balance, gait speed and mobility were observed after a six-week training program. Increased cortical activity was observed in healthy individuals and in PD patients when they were learning new visuomotor tasks. Cortical activity decreased as learning progressed in healthy individuals, but patients with PD still needed to employ much attention even after several sessions of visuomotor training.20
VR dual-task gait training involves executive function,19 a predictor of balance deficits in patients with PD.48 VR tasks involve gait control and meet environmental demands (e.g. risk detection). Therefore, they can prevent falls and increase functional independence in patients with PD. VR dual-task gait training promotes ecological learning of selecting, planning and monitoring motor programs and of assessing cognitive resources (working memory and attention). These cognitive resources are affected by PD and frequently associated with falls risk and functional dependence. It is important to highlight the increase in motivation promoted by VR, which favours engagement and more efficient motor control and may explain the functional gains even in more severe patients.
Limitations of the present study included the fact that the variability in assessment and training protocols and in VR characteristics hindered meta-analysis. Evaluation follow-up times were also variable and only available in six (Espay et al., 2011;18 Mirelman et al., 2011;19 Liao et al., 2015;25 Ginis et al., 2016;28 Strouwen et al., 2017;30 Melo et al., 201834) of the 19 studies. New therapeutic strategies for patients with PD, such as VR dual-task gait training, involve integrative and low-cost approaches. Patients with PD must be considered within a biopsychosocial context, as they typically have to deal with the neurodegenerative disease for over 30 years of their life time. VR can be useful for dual-task gait training in patients with PD, providing higher engagement and motivation.
In conclusion, VR dual-task gait training promotes gait improvement in patients with PD. Further studies should evaluate and compare the effects of specific rehabilitation programs in order to provide standardized guidelines for dual-task gait training in PD.
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This study was conducted at the Postgraduate program in Neurology, Department of Neurology, FMUSP, São Paulo, SP, Brazil.
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Publication Dates
-
Publication in this collection
23 Sept 2019 -
Date of issue
Jul-Sep 2019
History
-
Received
29 Dec 2018 -
Accepted
09 Apr 2019