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Temporal virtual reality-guided, dual-task, trunk balance training in a sitting position improves persistent postural-perceptual dizziness: proof of concept

Journal of NeuroEngineering and Rehabilitation volume 19, Article number: 92 (2022) Cite this article

Abstract

Background

Persistent postural-perceptual dizziness (PPPD) is a newly defined disorder characterized by functional dizziness. Due to its recent discovery, definitive treatment for PPPD has not been established; therefore, this study aimed to assess the effectiveness of virtual reality (VR)-guided, dual-task, trunk balance training for the management of PPPD using the mediVR KAGURA system.

Methods

We analyzed data of patients who presented with PPPD from January 1, 2021, to February 28, 2021. The VR group included patients who underwent mediVR KAGURA-guided training for 100 tasks (10 min). Patients with PPPD who received standard treatment and rehabilitation were assigned to the control group. Equilibrium tests were performed at baseline and immediately after mediVR KAGURA-guided training to examine its effectiveness in improving static and dynamic balance. Additionally, clinical questionnaires related to balance disorders were administered at baseline and 1 week after mediVR KAGURA-guided training to examine its effects on balance-related symptoms. The primary outcome was improvements in static and dynamic balance and Niigata PPPD Questionnaire (NPQ) scores.

Results

VR-guided training using mediVR KAGURA improved objective outcomes, including static and dynamic postural stability, after a single 10-min training session. Additionally, mediVR KAGURA-guided training improved scores on the Hospital Anxiety and Depression Scale and NPQ 1 week after the 10-min training session.

Conclusion

VR-guided training using mediVR KAGURA represents a viable method for managing balancing ability, anxiety, and symptoms in patients with PPPD. Such training provides a safe and cost-effective solution for PPPD management. Further studies are required to evaluate the clinical efficacy of this strategy.

Trial registration: Institutional Ethics Committee of Kitano Hospital, approval number: 1911003. Registered 18 December 2019, https://kitano.bvits.com/rinri/publish_document.aspx?ID=426.

Background

Persistent postural-perceptual dizziness (PPPD) is a functional dizziness disorder characterized by a chronic vestibular syndrome lasting for > 3 months, typically preceded by acute vestibular symptoms [1]. According to the International Classification of Diseases 11th edition, PPPD was previously referred to as phobic postural vertigo (PPV) or chronic subjective dizziness (CSD) [2]. PPPD presents as core vestibular symptoms including dizziness, unsteadiness, or non-spinning vertigo, and it is exacerbated during upright posture/walking, active or passive movement, or exposure to complex visual stimuli [2]. The disorder is caused by long-term maladaptation to a neuro-otological, medical, or psychological event that triggered vestibular symptoms. Additionally, it is considered within the spectrum of other functional neurological disorders.

The core dogma that explains PPPD is “sensory weighting” [1, 3,4,5,6,7,8,9]. The postural control system involves a complex organization of visual, vestibular, and somatosensory inputs, which are relayed to the musculoskeletal system by the central nervous system [10]. Normal postural stability occurs due to a balance among the “weights” of these three types of sensory input and accurate processing of signals from the central nervous system to motile organs. In patients with PPPD, the processing of spatial orientation information shifts to favor visual over vestibular and somatosensory inputs, and there is a failure of higher-order cortical mechanisms to modulate visual, vestibular, and somatosensory inputs [1, 4,5,6,7,8,9]. Thus, patients with PPPD exhibit altered and disorganized “sensory weighting” in the central nervous system [1, 3,4,5,6,7,8,9]. An intractable and persistent disease usually implies a higher degree of maladaptation, more severe disability, and more ingrained illness beliefs. Although previous studies have suggested the long-term benefits of early treatment for PPV and CSD [11, 12], definitive treatment for PPPD based on randomized controlled trials has yet to be approved. However, numerous studies have investigated therapeutic strategies for managing PPPD, including selective serotonin reuptake inhibitors and serotonin-norepinephrine reuptake inhibitors [1, 13], vestibular rehabilitation [13,14,15], cognitive-behavioral therapy [16,17,18], and electrical stimulation [19, 20].

Virtual reality (VR) technology has been recently introduced in a variety of clinical settings, including physical, occupational, cognitive, and psychological rehabilitation or training [21, 22]. In particular, physicians and therapists have expressed interest in the application of VR technology to balance training in patients with neurological disorders such as stroke [21, 22]. Research has indicated that this technology can be applied for post-hospitalization rehabilitation in patients with walking disabilities, particularly older adults presenting with disuse syndrome [23]. VR technology also has the potential to overcome the scarcity of human and economic resources in rehabilitation medicine [24]; however, the clinical efficacy of VR rehabilitation relative to traditional methods remains unclear [21, 22, 25, 26]. Although a few reports regarding VR rehabilitation for walking or balance training using a Wii Fit system (Nintendo, Kyoto, Japan) have been published, none have validated whether the use of VR technology can improve walking or balance in patients with chronic vestibular disorders [27, 28]. A recent study reported successful management of muscle atrophy or cerebellar ataxia resistant to traditional therapeutic management using mediVR KAGURA-guided, dual-task balance training (mediVR KAGURA, mediVR, Inc., Toyonaka, Japan, commercially available since February 4, 2019) [29, 30]. The mediVR KAGURA system was developed to help patients regain their walking ability by improving dual-task processing and trunk balance [29, 30].

In the present study, we investigated the effectiveness of VR-guided, dual-task trunk balance training using the mediVR KAGURA system for the management of PPPD.

Methods

Participants

Patients with PPPD at our hospital from January 1, 2021, to February 28, 2021, were recruited for the current study. Inclusion criteria were as follows: (i) age between 20 and 100 years; (ii) score of > 27 on the Niigata PPPD Questionnaire (NPQ), as described in Additional file 1 [31]; (iii) visit to the hospital more than twice between January 1, 2020, and December 31, 2020. Patients who presented with comorbidities (asthma and uncontrolled cardiac, pulmonary, gastrointestinal, renal, hepatic, endocrine, musculoskeletal, or oncological disorders) that would prevent them from completing the study were excluded. Clinical diagnosis of vestibular disorders that preceded PPPD was based on the diagnostic criteria published by the Japan Society for Equilibrium Research [32, 33] and the Bárány Society [2].

Study design and outcome measures

We randomly divided the patients into two groups: the VR-guided training group (VR group) and the conventional physiotherapy group (control group). Patients in the VR group underwent VR-guided training using mediVR KAGURA for 100 tasks, which took approximately 10 min. In the VR group, equilibrium tests were performed at baseline and immediately after mediVR KAGURA-guided training to examine its effects on static and dynamic balance. In the control group, equilibrium tests were performed at baseline and 10 min after the physiotherapist performed conventional physiotherapy related to vestibular compensation via the vestibulo-ocular reflex. Additional assessments using clinical questionnaires evaluating vestibular disorders were performed at baseline and 1 week after mediVR KAGURA-guided training or conventional physiotherapy to examine the effects on symptoms related to vestibular disorders. All evaluations were blinded. All patients were treated with anti-vertigo/dizziness medications; other medications administered for comorbidities were not limited. Additionally, all patients were instructed to perform vestibular rehabilitation three times per day at home to acquire vestibular compensation via the vestibulo-ocular reflex.

The primary outcome was the effect of VR on static and dynamic trunk balance and NPQ scores in patients with PPPD.

Detailed methods for VR training

In the 3D virtual space, the participants were instructed to catch falling red or blue objects or touch fixed red or blue targets with their right- or left-hand controllers, respectively. The training was performed with the patient in a sitting position to ensure safety, as training while standing is prohibited according to the manufacturer’s instructions. The mediVR KAGURA system provides a video game-like training environment to enhance motivation and ensure adherence. The therapist can help patients undergo training in a dual-task fashion, utilizing various levels of physical and cognitive stimulation through seven parameters. These parameters include the distance, angle, height, and size of the object; size of the controller; inter-task interval; and falling speed or time limit for each task (Fig. 1; Additional file 2). In addition, the therapist is permitted to encourage patients to decrease their tension and promote effective training.

Fig. 1
figure 1

Image during VR training. VR virtual reality

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Cognitive stimulation was designed to emulate how cognitive and attention functions are processed during each activity. For example, participants were instructed to catch red objects using the right-hand controller and blue objects using the left-hand controller. Differentiation of object colors emulates the cognitive processing required to differentiate traffic signals. Considering the seven parameters, recognizing a new object in 3D space and reaching a response in a timely manner emulates the cognitive processing involved in hazard perception and facilitates hazard avoidance in daily life (Fig. 1; Additional file 2).

The VR system places a radar screen at the center of the head-mounted display to indicate the direction of the next task, and the patient must refer to this radar screen regularly. Some gaming characteristics have been added to divert attention away from the radar screen while evaluating or training the patient’s attentiveness.

Detailed assessment methods

Methodological details and criteria regarding the questionnaires and equilibrium tests are described in Additional file 1. The clinical questionnaires administered included the NPQ [31], the Dizziness Handicap Inventory (DHI) [34, 35], the Hospital Anxiety and Depression Scale (HADS) [36, 37], orthostatic dysregulation (OD) questionnaires [38, 39], Graybiel’s motion sickness test [40], and the Pittsburgh Sleep Quality Index (PSQI) [41, 42].

Equilibrium tests included stabilometry with or without foam posturography to assess steady-state postural control [43], while the Foulage stepping test was used to assess dynamic postural control. During stabilometry, the patients were instructed to stand on a strain-gauge force platform (GP-5000 stabilometer; Anima, Tokyo, Japan) for 60 s with their eyes open or closed and with or without foam rubber [44]. As described above, the postural control system involves the complex organization of visual, vestibular, and somatosensory inputs. Foam rubber posturography can assess sensory “dependence” or “weighting” among these three types of input [44]. When patients stand on a foam rubber force platform with their eyes closed, somatosensation from the foot and visual stimuli is reduced, which results in altered sensory weighting of vestibular inputs. Thus, this setup can indirectly reflect the function of the peripheral and central vestibular systems due to reductions in visual and somatosensory input [44]. To assess vestibular weighting, the velocity of the center of pressure (COP) was calculated in the eyes closed/foam rubber conditions (VCF; lower values indicate improvement in PPPD). Studies have indicated that Romberg’s ratio, which compares postural sway in eyes-open and eyes-closed conditions involving a foam rubber platform, may reflect visual dependence in a standing posture [44]. To assess visual weighting, the velocity of the Romberg’s ratio was calculated (VRF; lower values indicate improvement in PPPD). To assess somatosensory weighting, the velocity of the foam ratios (ratio of a measured parameter with or without the foam rubber platform) was calculated in the eyes-closed position (VFCF; higher values indicate improvement in PPPD). Measurements were performed under background noise conditions (approximately 50 dB).

Dynamic equilibrium was assessed using the Foulage test (FT) [45,46,47], which involves a quantified stepping test regulated at 120 bpm using a metronome. In this test, the patient is instructed to stand upright with both arms at the sides of the body and with closed feet, with the toes continuously touching the plate, allowing for alternating changes in the height of the heel only (rise of approximately 2–6 cm) [45, 46, 48]. Dynamic Romberg’s ratios (eyes-closed /eyes-open FT value; area of the front–back width of the locus) were assessed, with lower values indicative of PPPD improvement [45, 46, 48].

Statistical analyses

Power and sample size calculations were conducted using the PS software (Ver. 3.1.6, Vanderbilt University, Nashville, TN, USA) [49]. This study aimed to include at least 10 patients to yield a power ≥ 0.80, assuming a medium effect size (i.e., d = 0.80 [50]) and an α ≤ 0.05. All statistical analyses were performed using GraphPad Prism version 8.0.0 for Windows, GraphPad Software, San Diego, California USA (www.graphpad.com). An unpaired t-test and Fisher’s exact test were used to compare age and sex between the groups, respectively. Parametric data related to questionnaire and equilibrium test results before and after training were assessed using paired t-tests, while non-parametric data related to these results were assessed using Mann–Whitney U-tests. Residual plots were used to confirm the accuracy of the assumptions made for outcomes. Statistical significance was set at P < 0.05. Evaluations were determined as “not applicable” if the calculated sample size after data collection was found to be insufficient for statistical analysis.

Results

Participants

Fourteen patients underwent mediVR KAGURA-guided training; however, two patients did not consent to share their data. Therefore, twelve patients (3 men, 9 women; mean age ± standard deviation (SD): 58.0 ± 17.1 years) were included in the VR group. The control group included 14 patients (3 men, 11 women; mean age ± SD: 63.5 ± 15.9 years). Detailed participant information is shown in Table 1.

Table 1 Patient characteristics
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Static postural stability was improved by mediVR KAGURA-guided training in patients with PPPD

To examine changes in static postural stability after mediVR KAGURA-guided training in patients with PPPD, we assessed changes in the parameters of vestibular weighting (VCF), visual weighting (VRF), and somatosensory weighting (VFCF) before and after training. The VR group demonstrated a significant improvement in VFCF after mediVR KAGURA-guided training compared to that before training (Fig. 2a–c, VCF: P = 0.16, VRF: P = 0.31, VFCF: P = 0.02 [Cohen’s d = 1.41]), suggesting somatosensory re-weighting in the vestibular control system. While no such improvement was observed in the control group (Fig. 2d–f, VCF: P = 0.98, VRF: P = 0.30, VFCF: P = 0.08).

Fig. 2
figure 2

Static postural stability after mediVR KAGURA-guided training. a, d Changes in control group and VR group VCF parameters related to vestibular weighting: P = 0.96 (r = 0.13), P = 0.16 (r = 0.12), respectively. b, e Changes in control group and VR group VRF parameters related to visual weighting: P = 0.67 (r = 0.12). P = 0.31 (r = 0.15), respectively. c, f Changes in control group and VR group VFCF parameters related to somatosensory weighting: P = 0.04 (r = 0.53), P = 0.02 (r = 0.58), respectively. Blue indicates the control group, and red indicates the VR group. Bars indicate the mean ± SD. VR virtual reality, VCF velocity of COP in the eyes-closed/foam rubber condition, VRF velocity of Romberg’s ratio with foam rubber, VFCF velocity of foam ratio in the eyes-closed/foam rubber condition, SD standard deviation

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Dynamic postural stability was partly improved by mediVR KAGURA-guided training in patients with PPPD

To examine changes in dynamic postural stability after mediVR KAGURA-guided training in patients with PPPD, we compared changes in Foulage test [45, 46, 48]. The VR group exhibited significant improvement in the dynamic Romberg’s ratio, while no such improvement was observed in the control group (Fig. 3a, VR group: P = 0.003 [Cohen’s d = 2.42]; Fig. 3b, control group: P = 0.34), which suggests visual re-weighting or desensitization.

Fig. 3
figure 3

Dynamic postural stability after mediVR KAGURA-guided training. a, b Dynamic Romberg’s ratios in the (a) control group (P = 0.34, r = 0.12) and (b) VR group (P = 0.003, r = 0.80). Blue indicates the control group, and red indicates the VR group. Bars indicate the mean ± SD. VR virtual reality, SD standard deviation

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Subjective symptoms and anxiety related to PPPD improved after mediVR KAGURA-guided training

Responses to clinical questionnaires related to vestibular disorders were analyzed at baseline and after the mediVR KAGURA-guided training to examine changes in subjective symptoms. In the VR group, significant improvements in scores for the HADS-A, NPQ, and all NPQ subcategories relative to baseline were observed following mediVR KAGURA-guided training (Fig. 4a–d, i, NPQ: P = 0.005 [Cohen’s d = 2.20], NPQ upright posture/walking: P = 0.02 [Cohen’s d = 1.67], NPQ movement: P = 0.005 [Cohen’s d = 2.06], NPQ visual stimulation: P = 0.002 [Cohen’s d = 2.42], HADS-A: P = 0.01 [Cohen’s d = 1.78]). There were no significant differences in other parameters between baseline and after mediVR KAGURA-guided training (DHI: P = 0.08, DHI-P: P = 0.18, DHI-E: P = 0.06, DHI-F: P = 0.16, HADS-D: P = 0.24, OD: P = 0.17, PSQI: P = 0.50, Graybiel’s motion sickness score: P = 0.31).

Fig. 4
figure 4

Subjective symptoms of PPPD after mediVR KAGURA-guided training and conventional physiotherapy. a–d Control group: NPQ: P = 0.40, r = 0.20 (a), NPQ upright posture/walking: P = 0.32, r = 0.23 (b), NPQ movement: P = 0.12, r = 0.30 (c), and NPQ visual stimulation: P = 0.02, r = 0.52 (d). e–h VR group: NPQ: P = 0.005, r = 0.74 (e), NPQ upright posture/walking: P = 0.02, r = 0.65 (f), NPQ movement: P = 0.005, r = 0.72 (g), and NPQ visual stimulation: P = 0.002, r = 0.77 (h). i, j HADS-A: P = 0.15, r = 0.24 in the control group and P = 0.01, r = 0.67 in the VR group. Blue indicates the control group, and red indicates the VR group. Bars indicate the mean ± SD. PPPD persistent postural-perceptual dizziness, VR virtual reality, NPQ Niigata PPPD Questionnaire, HADS Hospital Anxiety and Depression Scale, SD standard deviation

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In the control group, there were no significant differences in any parameter except for the deterioration of visual stimulation in the NPQ (Fig. 4e–h, j, NPQ: P = 0.43, NPQ upright posture/walking: P = 0.20, NPQ movement: P = 0.13, NPQ visual stimulation: P = 0.02 [Cohen’s d = 1.27], HADS-A: P = 0.19, DHI: P = 0.07, DHI-P: P = 0.38, DHI-E: P = 0.10, DHI-F: P = 0.17, HADS-D: P = 0.24, OD: P = 0.37, PSQI: P = 0.32, Graybiel’s motion sickness score: P = 0.06).

Discussion

In this study, we aimed to determine the effectiveness of VR-guided training for the management of PPPD using the mediVR KAGURA system. Patients with PPPD exhibited improvements in objective outcomes, including static and dynamic postural stability (somatosensory and visual re-weighting), immediately after the mediVR KAGURA-guided training session. Additionally, this training improved anxiety and scores for all NPQ subcategories after 1 week. Consequently, these findings broaden the possibilities of PPPD management using mediVR KAGURA-guided rehabilitation.

PPPD is a syndrome that unifies the key features of PPV, CSD, and other related disorders [2]. Research has demonstrated that the mechanisms underlying PPPD include the stiffening of postural control, a shift in spatial orientation information processing to favor visual over vestibular inputs, and failure of higher-order cortical mechanisms to modulate the first two processes [1, 4,5,6,7,8,9]. Psychological and functional comorbidities develop from maladaptive cognitive-behavioral responses, including acrophobia, anxiety or depressive disorders, and functional gait abnormalities. Therefore, current strategies for managing PPPD include therapy for comorbidities such as vestibular diseases, re-weighting of sensory inputs for postural control [13,14,15], and desensitization to increase tolerance to perceived stimuli [16,17,18].

In this study, mediVR KAGURA-guided training resulted in improvements in NPQ scores, static postural stability (somatosensory weighting), dynamic postural stability (visual weighting), and even short-term rehabilitation. We speculate that re-tuning, desensitization, and re-weighting attenuated impairments in balance control by improving cognitive and motor function in patients with PPPD. The use of conventional approaches for quantitative assessments of performance during postural balance training may be ineffective for PPPD [26, 29]. VR creates multiple interactive, multimodal sensory stimuli that offer unique advantages over other approaches in neurorehabilitation. VR facilitates an easy, prompt, quantitative, and replicable training method by accurately setting the distance, angle, height, or other parameters in a 3D virtual space [26, 29]. The therapist’s only responsibility is to adjust these parameters by inputting numbers on the operating panel of the computer. Moreover, the randomly programmed VR-training tasks may require significantly more precise postural control. Consequently, the tailor-made, optimized, and unpredictable mediVR KAGURA-guided tasks can result in greater improvements in postural and trunk balance when compared with conventional approaches, even when performed in a sitting position. Previous research has indicated that the use of VR during neurorehabilitation improves cognitive and motor function [21], with several studies reporting benefits in relation to upper limb function, balance, and gait [51]; neuromotor monitoring of recovery [52]; strength fitness and skills [53], range of motion for the shoulder, and spasticity [54]. In this study, mediVR KAGURA-guided training promoted sensory re-weighting in patients with PPPD, resulting in improvement of subjective symptoms. This finding suggests that re-weighting of somatosensory inputs and desensitization to visual inputs via mediVR KAGURA-guided training are important for symptom improvement in patients with PPPD. We speculated that adequate and optimized VR-guided rehabilitation can have a greater effect on PPPD.

Our findings also indicated that anxiety scores improved following mediVR KAGURA-guided training when compared with those observed in the control group. This outcome highlights the benefits of using tailor-made, optimized, and unpredictable mediVR KAGURA-guided training tasks and therapist-guided relaxation techniques. During our mediVR KAGURA-guided rehabilitation sessions, the patient was constantly required to think of the next task to time the fall of the next object and perform the reaching movements in a timely manner, emulating the conditions necessary for hazard perception and avoidance. These methods may be useful for patients with PPPD who are unable to imagine the variables associated with real-world situations. A previous study reported psychological and cognitive benefits when older adults utilized adapted VR devices, such as improvements in attention or memory and decreased depressive symptoms [21, 55]. Taken together, the available evidence indicates that VR devices can be used as effective tools to motivate patients during rehabilitation sessions [56], to improve spatial orientation and attention in daily life activities [57], and to improve pain relief scores and emotional aspects related to functionality [55]. Additionally, a VR training environment can provide participants with task-specific training, accurate sensory and tactile feedback, and motivation [58]. Therefore, mediVR KAGURA dual-task training may facilitate neurorehabilitation of cognitive and motor function.

Notably, the application of VR technology in the future may benefit from a larger pool of automated data and advancements in artificial intelligence. For example, eye trackers may become a standard feature of VR headsets; this will allow for the collection of data from both healthy controls and individuals with disabilities. Given the potential for this to ensure equity in therapeutic settings despite differences in ability, further studies are required to explore this issue.

Limitations

This study had several limitations. First, the mediVR KAGURA-guided training session was short (100 tasks for 10 min) because we could not use the machine for a longer duration due to funding limitations. Consequently, adjustments to the settings and treatment protocol were not attempted, although research indicates that longer interventions are more effective [23]. Second, the long-term effects on PPPD were not investigated. Further randomized and long-term studies comparing mediVR KAGURA-guided training and other rehabilitation programs are required to validate the effectiveness of this VR-guided method. Lastly, the sample size was insufficient for some analyses. Nonetheless, the study provides proof of concept, supporting the need for additional studies with larger sample sizes.

Conclusion

Our findings indicated that a single session of VR-guided, dual-task, trunk balance training using a mediVR KAGURA system improved static and dynamic balance ability, NPQ scores, and HADS-A scores in patients with PPPD compared to conventional physiotherapy. VR-guided training using mediVR KAGURA offers a safe and cost-effective solution for PPPD. As such, further prospective studies need to explore the adequate conditions for this VR-guided method.

Availability of data and materials

All data that support the findings of this study are available from the corresponding author, Toru Miwa, upon reasonable request.

Abbreviations

PPPD:

Persistent postural-perceptual dizziness

VR:

Virtual reality

NPQ:

Niigata PPPD Questionnaire

PPV:

Phobic postural vertigo

CSD:

Chronic subjective dizziness

DHI:

Dizziness Handicap Inventory

HADS:

Hospital Anxiety and Depression Scale

OD:

Orthostatic dysregulation

PSQI:

Pittsburgh Sleep Quality Index

COP:

Center of pressure

VCF:

Velocity of COP in the eyes-closed/foam rubber condition

VRF:

Velocity of Romberg’s ratio with foam rubber

VFCF:

Velocity of foam ratio in the eyes-closed/foam rubber condition

FT:

Foulage test

SD:

Standard deviation

References

  1. Popkirov S, Stone J, Holle-Lee D. Treatment of persistent postural-perceptual dizziness (PPPD) and related disorders. Curr Treat Options Neurol. 2018;20:1–11.

    Article  Google Scholar 

  2. Staab JP, Eckhardt-Henn A, Horii A, Jacob R, Strupp M, Brandt T, et al. Diagnostic criteria for persistent postural-perceptual dizziness (PPPD): consensus document of the committee for the classification of vestibular disorders of the barany society. J Vestib Res Equilib Orientat. 2017;27:191–208.

    Article  Google Scholar 

  3. Aharoni MMH, Lubetzky AV, Arie L, Krasovsky T. Factors associated with dynamic balance in people with persistent postural perceptual dizziness (PPPD): a cross-sectional study using a virtual-reality four square step test. J Neuroeng Rehabil. 2021;18:1–12.

    Article  Google Scholar 

  4. Indovina I, Riccelli R, Chiarella G, Petrolo C, Augimeri A, Giofrè L, et al. Role of the insula and vestibular system in patients with chronic subjective dizziness: an fMRI study using sound-evoked vestibular stimulation. Front Behav Neurosci. 2015;9:334.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Sohsten E, Bittar RSM, Staab JP. Posturographic profile of patients with persistent postural-perceptual dizziness on the sensory organization test. J Vestib Res Equilib Orientat. 2016;26:319–26.

    Article  Google Scholar 

  6. Best C, Tschan R, Eckhardt-Henn A, Dieterich M. Who is at risk for ongoing dizziness and psychological strain after a vestibular disorder? Neuroscience. 2009;164:1579–87.

    Article  CAS  PubMed  Google Scholar 

  7. Staab JP, Rohe DE, Eggers SDZ, Shepard NT. Anxious, introverted personality traits in patients with chronic subjective dizziness. J Psychosom Res. 2014;76:80–3.

    Article  PubMed  Google Scholar 

  8. Riccelli R, Passamonti L, Toschi N, Nigro S, Chiarella G, Petrolo C, et al. Altered insular and occipital responses to simulated vertical self-motion in patients with persistent postural-perceptual dizziness. Front Neurol. 2017;8:529.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Lee JO, Lee ES, Kim JSJH, Lee YB, Jeong Y, Choi BS, et al. Altered brain function in persistent postural perceptual dizziness: a study on resting state functional connectivity. Hum Brain Mapp. 2018;39:3340–53.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Miwa T. Temporary unilateral caloric vestibular stimulation affects balance and gait control during walking in healthy young adults. J Int Adv Otol. 2021;17:255–9.

    Article  PubMed  Google Scholar 

  11. Huppert D, Strupp M, Rettinger N, Hecht J, Brandt T. Phobic postural vertigo: a long-term follow-up (5 to 15 years) of 106 patients. J Neurol. 2005;252:564–9.

    Article  CAS  PubMed  Google Scholar 

  12. Staab JP, Ruckenstein MJ. Chronic dizziness and anxiety: effect of course of illness on treatment outcome. Arch Otolaryngol Head Neck Surg. 2005;131:675–9.

    Article  PubMed  Google Scholar 

  13. Staab JP. Chronic subjective dizziness. Continuum (Minneap Minn). 2012;18:1118–41.

    Google Scholar 

  14. Nada EH, Ibraheem OA, Hassaan MR. Vestibular rehabilitation therapy outcomes in patients with persistent postural-perceptual dizziness. Ann Otol Rhinol Laryngol. 2019;128:323–9.

    Article  PubMed  Google Scholar 

  15. Yardley L, Barker F, Muller I, Turner D, Kirby S, Mullee M, et al. Clinical and cost effectiveness of booklet based vestibular rehabilitation for chronic dizziness in primary care: single blind, parallel group, pragmatic, randomised controlled trial. BMJ. 2012;6:344.

    Google Scholar 

  16. Holmberg J, Karlberg M, Harlacher U, Rivano-Fischer M, Magnusson M. Treatment of phobic postural vertigo: a controlled study of cognitive-behavioral therapy and self-controlled desensitization. J Neurol. 2006;253:500–6.

    Article  CAS  PubMed  Google Scholar 

  17. Edelman S, Mahoney AEJ, Cremer PD. Cognitive behavior therapy for chronic subjective dizziness: a randomized, controlled trial. Am J Otolaryngol Head Neck Med Surg. 2012;33:395–401.

    Google Scholar 

  18. Tschan R, Eckhardt-Henn A, Scheurich V, Best C, Dieterich M, Beutel M. Standfest? Erste Ergebnisse der Entwicklung eines kognitiv-verhaltenstherapeutischen Gruppenschulungsprogramms zur Behandlung des somatoformen Schwindels. Psychother Psychosom Medizinische Psychol. 2012;62:111–9.

    Article  Google Scholar 

  19. Palm U, Kirsch V, Kübler H, Sarubin N, Keeser D, Padberg F, et al. Transcranial direct current stimulation (tDCS) for treatment of phobic postural vertigo: an open label pilot study. Eur Arch Psychiatry Clin Neurosci. 2019;269:269–72.

    Article  PubMed  Google Scholar 

  20. Eren OE, Filippopulos F, Sönmez K, Möhwald K, Straube A, Schöberl F. Non-invasive vagus nerve stimulation significantly improves quality of life in patients with persistent postural-perceptual dizziness. J Neurol. 2018;265:63–9.

    Article  PubMed  Google Scholar 

  21. Massetti T, da Silva TD, Crocetta TB, Guarnieri R, de Freitas BL, Bianchi Lopes P, et al. The clinical utility of virtual reality in neurorehabilitation: a systematic review. J Cent Nerv Syst Dis. 2018;10:117957351881354.

    Article  Google Scholar 

  22. Tieri G, Morone G, Paolucci S, Iosa M. Virtual reality in cognitive and motor rehabilitation: facts, fiction and fallacies. Expert Rev Med Devices. 2018;15:107–17.

    Article  CAS  PubMed  Google Scholar 

  23. Laver KE, Lange B, George S, Deutsch JE, Saposnik G, Crotty M. Virtual reality for stroke rehabilitation. Cochrane Database Syst Rev. 2018;49:e160–1.

    Google Scholar 

  24. Baniasadi T, Ayyoubzadeh SM, Mohammadzadeh N. Challenges and practical considerations in applying virtual reality in medical education and treatment. Oman Med J. 2020;35: e125.

    Article  PubMed  PubMed Central  Google Scholar 

  25. de Amorim JSC, Leite RC, Brizola R, Yonamine CY. Virtual reality therapy for rehabilitation of balance in the elderly: a systematic review and META-analysis. Adv Rheumatol (London, England). 2018;58:18.

    Article  Google Scholar 

  26. Hara M, Kitamura T, Murakawa Y, Shimba K, Yamaguchi S, Tamaki M. Safety and feasibility of dual-task rehabilitation program for body trunk balance using virtual reality and three-dimensional tracking technologies. Prog Rehabil Med. 2018;3:20180016.

    PubMed  PubMed Central  Google Scholar 

  27. Tripette J, Murakami H, Ryan KR, Ohta Y, Miyachi M. The contribution of Nintendo Wii Fit series in the field of health: a systematic review and meta-analysis. PeerJ. 2017.

  28. Agmon M, Perry CK, Phelan E, Demiris G, Nguyen HQ. A pilot study of Wii Fit exergames to improve balance in older adults. J Geriatr Phys Ther. 2011;34:161–7.

    Article  PubMed  Google Scholar 

  29. Omon K, Hara M, Ishikawa H. Virtual reality-guided, dual-task, body trunk balance training in the sitting position improved walking ability without improving leg strength. Prog Rehabil Med. 2019;4:20190011.

    PubMed  PubMed Central  Google Scholar 

  30. Takimoto K, Omon K, Murakawa Y, Ishikawa H. Case of cerebellar ataxia successfully treated by virtual reality-guided rehabilitation. BMJ Case Rep BMJ Specialist J. 2021;14:e242287.

    Article  Google Scholar 

  31. Yagi C, Morita Y, Kitazawa M, Nonomura Y, Yamagishi T, Ohshima S, et al. A validated questionnaire to assess the severity of persistent postural-perceptual dizziness (PPPD): the Niigata PPPD Questionnaire (NPQ). Otol Neurotol. 2019;40:e747–52.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Ikezono T, Ito A, Takeda N, Nakamura T, Asai M, Ikeda T, et al. Diagnostic criteria of balance disorders in Japan (revised edition, In Japanese). Equilib Res. 2017;76:233–41.

    Google Scholar 

  33. Komatsuzaki A. Diagnostic criteria of balance disorders in Japan (In Japanese). Equilib Res. 1995;54:29–57.

    Article  Google Scholar 

  34. Jacobson GP, Newman CW. The development of the dizziness handicap inventory. Arch Otolaryngol Head Neck Surg. 1990;116:424–7.

    Article  CAS  PubMed  Google Scholar 

  35. Masuda K, Goto F, Fujii M, Kunihiro T. Investigation of the reliability and validity of dizziness handicap inventory (DHI) translated into Japanese. Equilib Res. 2004;63:555–63.

    Article  Google Scholar 

  36. Zigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta Psychiatr Scand. 1983;67:361–70.

    Article  CAS  PubMed  Google Scholar 

  37. Hatta H, Higashi A, Yashiro H, Ozasa K, Hayashi K, Kyota K, et al. A validation of the hospital anxiety and depression scale. Japanese J Psychosom Med. 1998;38:309–15.

    Google Scholar 

  38. Okuni M. Orthostatic dysregulation in childhood with special reference to the standing electrocardiogram: Conference on Neurocirculatory Asthenia & Allied Diseases and Orthostatic Hypotensive Diseases. Jpn Circ J. 1963;27:200–4.

    Article  CAS  PubMed  Google Scholar 

  39. Tanaka H, Fujita Y, Takenaka Y, Kajiwara S, Masutani S, Ishizaki Y, et al. Japanese clinical guidelines for juvenile orthostatic dysregulation version 1. Pediatr Int. 2009;51:169–79.

    Article  PubMed  Google Scholar 

  40. Graybiel A, Wood CD, Miller EF, Cramer DB. Diagnostic criteria for grading the severity of acute motion sickness. Aerosp Med. 1968;39:453–5.

    CAS  PubMed  Google Scholar 

  41. Doi Y, Minowa M, Uchiyama M, Okawa M, Kim K, Shibui K, et al. Psychometric assessment of subjective sleep quality using the Japanese version of the Pittsburgh Sleep Quality Index (PSQI-J) in psychiatric disordered and control subjects. Psychiatry Res. 2000;97:165–72.

    Article  CAS  PubMed  Google Scholar 

  42. Buysse DJ, Reynolds CF, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh sleep quality index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989;28:193–213.

    Article  CAS  PubMed  Google Scholar 

  43. Tjernström F, Björklund M, Malmström E-M. Romberg ratio in quiet stance posturography—test to retest reliability. Gait Posture. 2015;42:27–31.

    Article  PubMed  Google Scholar 

  44. Fujimoto C, Murofushi T, Chihara Y, Ushio M, Sugasawa K, Yamaguchi T, et al. Assessment of diagnostic accuracy of foam posturography for peripheral vestibular disorders: analysis of parameters related to visual and somatosensory dependence. Clin Neurophysiol. 2009;120:1408–14.

    Article  PubMed  Google Scholar 

  45. Yasuda T, Etoh N, Araki Y, Souma K, Kunihiro T. The new method of plotting steps in foulage test. Equilib Res. 2016;75:22–6.

    Article  Google Scholar 

  46. Yasuda T, Etoh N, Araki Y, Yamada J, Ide R, Ohkawara T, et al. A dynamic equilibrium examination on stabilometry (Foulage test). Equilib Res. 2012;71:61–70.

    Article  Google Scholar 

  47. Miwa T, Yasuda T. Dynamic equilibrium examination utilizing a six-axis sensor during the foulage test. Equilib Res. 2020;79:80–7.

    Article  Google Scholar 

  48. Yasuda T, Etoh N, Araki Y, Kunihiro T. Clinical course of a severe vertigo attack in patients with Meniere’s disease or delayed hydrops investigated by a new dynamic equilibrium examination (Foulage test). Equilib Res. 2013;72:163–70.

    Article  Google Scholar 

  49. Dupont WD, Plummer WD. Power and sample size calculations for studies involving linear regression. Control Clin Trials. 1998;19:589–601.

    Article  CAS  PubMed  Google Scholar 

  50. Cohen J. A power primer. Psychol Bull. 1992;112:155–9.

    Article  CAS  PubMed  Google Scholar 

  51. Held JP, Ferrer B, Mainetti R, Steblin A, Hertler B, Moreno-Conde A, et al. Autonomous rehabilitation at stroke patients home for balance and gait: safety, usability and compliance of a virtual reality system. Eur J Phys Rehabil Med Edizioni Min Med. 2018;54:545–53.

    Google Scholar 

  52. Steinisch M, Tana MG, Comani S. A post-stroke rehabilitation system integrating robotics, VR and high-resolution EEG imaging. IEEE Trans Neural Syst Rehabil Eng. 2013;21:849–59.

    Article  PubMed  Google Scholar 

  53. Lotan M, Yalon-Chamovitz S, Weiss PL. Improving physical fitness of individuals with intellectual and developmental disability through a Virtual Reality Intervention Program. Res Dev Disabil. 2009;30:229–39.

    Article  PubMed  Google Scholar 

  54. Simkins M, Byl N, Kim H, Abrams G, Rosen J. Upper limb bilateral symmetric training with robotic assistance and clinical outcomes for stroke: a pilot study. Int J Intell Comput Cybern. 2016;9:83–104.

    Article  Google Scholar 

  55. Da Silva Ribeiro NM, Dominguez Ferraz D, Pedreira É, Pinheiro Í, Da Silva Pinto AC, Gomes Neto M, et al. Virtual rehabilitation via Nintendo Wii® and conventional physical therapy effectively treat post-stroke hemiparetic patients. Top Stroke Rehabil. 2015;22:299–305.

    Article  PubMed  Google Scholar 

  56. Trombetta M, Bazzanello Henrique PP, Brum MR, Colussi EL, De Marchi ACB, Rieder R. Motion Rehab AVE 3D: a VR-based exergame for post-stroke rehabilitation. Comput Methods Progr Biomed. 2017;151:15–20.

    Article  Google Scholar 

  57. Fordell H, Bodin K, Eklund A, Malm J. RehAtt—scanning training for neglect enhanced by multi-sensory stimulation in virtual reality. Top Stroke Rehabil. 2016;23:191–9.

    Article  PubMed  Google Scholar 

  58. Lange BS, Requejo P, Flynn SM, Rizzo AA, Valero-Cuevas FJ, Baker L, et al. The potential of virtual reality and gaming to assist successful aging with disability. Phys Med Rehabil Clin N Am. 2010;30:339–56.

    Article  Google Scholar 

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Acknowledgements

Speech therapist Shoko Noda assisted with performing the experiment. We would like to thank Editage (http://www.editage.com) for editing and reviewing this manuscript for English language.

Funding

This research received no specific grants from funding agencies in the public, commercial, or not-for-profit sectors.

Author information

Authors and Affiliations

  1. Department of Otolaryngology-Head and Neck Surgery, Tazuke Kofukai Medical Research Institute, Kitano Hospital, Osaka, Japan

    Tomoya Yamaguchi, Toru Miwa, Kaoru Tamura, Fumiko Inoue, Naomi Umezawa, Toshiki Maetani & Shin-ichi Kanemaru

  2. Department of Otolaryngology-Head and Neck Surgery, Kyoto University, Kyoto, Japan

    Tomoya Yamaguchi & Toru Miwa

  3. Department of Otolaryngology, Osaka Metropolitan University School of Medicine, 1-4-3 Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan

    Toru Miwa

  4. Department of Medical Device Development, mediVR, Inc., Toyonaka, Japan

    Masahiko Hara

  5. Center for Community-Based Healthcare Research and Education, Shimane University, Izumo, Japan

    Masahiko Hara

Authors
  1. Tomoya Yamaguchi
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  2. Toru Miwa
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  3. Kaoru Tamura
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  4. Fumiko Inoue
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  7. Masahiko Hara
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  8. Shin-ichi Kanemaru
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Contributions

TY and TM: investigation, project administration, methodology, visualization, writing—original draft, data curation, formal analysis, conceptualization, writing—review and editing, validation. KT, FI, and NU: investigation, project administration, and methodology. MH: project administration, methodology, software, conceptualization, resources, and validation. TM and SK: supervision, resources, validation. All authors have read and approved the final version of this manuscript.

Corresponding author

Correspondence to Toru Miwa.

Ethics declarations

Ethics approval and consent to participate

This study was approved by the Kitano Hospital Clinical Research Ethics Committee (Approval Number: 1911003), and all participants provided written informed consent. The study adhered to the tenets of the Declaration of Helsinki.

Consent for publication

All participants provided consent for this publication.

Competing interests

Masahiko Hara is a stockholder of mediVR, Inc., a company with unlisted stock and ongoing international Patent Cooperation Treaty applications for several patents related to mediVR KAGURA-guided rehabilitation. All other authors have no competing interest to declare.

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Supplementary Information

Additional file 1.

Overview of the assessment tools used in this study and their respective scoring systems. Scoring and criteria of questionnaire and equilibrium test.

Additional file 2. Movie during mediVR-guided training. Motion during the VR-training.

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Yamaguchi, T., Miwa, T., Tamura, K. et al. Temporal virtual reality-guided, dual-task, trunk balance training in a sitting position improves persistent postural-perceptual dizziness: proof of concept. J NeuroEngineering Rehabil 19, 92 (2022). https://doi.org/10.1186/s12984-022-01068-6

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  • DOI: https://doi.org/10.1186/s12984-022-01068-6

Keywords

  • Virtual reality
  • Persistent postural-perceptual dizziness
  • Rehabilitation

Journal of NeuroEngineering and Rehabilitation

ISSN: 1743-0003

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