Literature DB >> 35875273

Non-Immersive Virtual Reality as an Intervention for Improving Hand Function and Functional Independence in Children With Unilateral Cerebral Palsy: A Feasibility Study.

Chanan Goyal1,2, Vishnu Vardhan1, Waqar Naqvi3,1.   

Abstract

Introduction Non-immersive virtual reality (NIVR) is emerging as an advantageous intervention in the arena of neurorehabilitation. Promising results have been obtained by the application of NIVR in adults with various chronic neurological conditions such as stroke and Parkinson's disease, but studies on the use of NIVR in children with unilateral cerebral palsy (CP) are limited. Materials and methods This preliminary study included 10 school-aged participants with unilateral CP who were allocated into experimental and control groups. In accordance with the allocation ratio of 1:1, there were five participants in each group. During six weeks of intervention, children in the experimental group received NIVR intervention in addition to conventional physiotherapy, while those in the control group received only conventional physiotherapy, with a goal to improve hand function and functional independence. Nine-hole peg test (9HPT), box and block test (BBT), ABILHAND kids, and self-care section of functional independence measure for children (WeeFIM) were used as outcome measures. Results There was significant improvement in all outcome measures in both groups. However, the improvement in the hand function and functional independence was significantly more in the experimental group than in the control group. Conclusion It can be concluded that NIVR intervention in the management of children with unilateral CP seems to be feasible and useful. Further research with a larger sample size must be undertaken to reinforce these preliminary findings.
Copyright © 2022, Goyal et al.

Entities:  

Keywords:  cerebral palsy; haptic feedback; motor learning; neuroplasticity; non-immersive virtual reality; physiotherapy; playstation; rehabilitation; virtual reality

Year:  2022        PMID: 35875273      PMCID: PMC9295637          DOI: 10.7759/cureus.26085

Source DB:  PubMed          Journal:  Cureus        ISSN: 2168-8184


Introduction

Non-immersive virtual reality (NIVR) is emerging as a means of intervention in the arena of neurorehabilitation. NIVR has been found to be beneficial in the rehabilitation of the geriatric population [1,2]. Promising results have been obtained by the application of NIVR in adult patients with varied health conditions such as stroke [3-7], Parkinson’s disease [8,9], and chronic obstructive pulmonary disease (COPD) [10], but studies on the use of NIVR in the pediatric population and specifically for children with unilateral cerebral palsy (CP) are limited [11]. Children with unilateral CP usually tend to avoid using the hand on the affected side, leading to dependence for activities that need bilateral hand usage. Consequently, there is increased burden of care on caregivers. This study aims to investigate the effect NIVR on hand function and functional independence in children with unilateral CP.

Materials and methods

The study was conducted at Neurosciences Centre, Acharya Vinoba Bhave Rural Hospital, Datta Meghe Institute of Medical Sciences (DMIMS), Wardha, Maharashtra, India. The study was approved by the Institutional Ethical Committee of DMIMS with the approval number Ref.No. DMIMS(DU)/IEC/2020-21/131 and was executed in conformation to the Declaration of Helsinki. This pilot study is an interventional, non-randomized trial with an active control group. The inclusion criteria comprised age between 6 and 12 years, diagnosis of unilateral CP, levels I-III on Gross Motor Function Classification System (GMFCS), and levels I-III on Manual Ability Classification System (MACS). Exclusion criteria included epilepsy, surgery in the past six months, Botox treatment in the past three months, and inability to understand commands. Screening for eligibility criteria was done. A parent or legal guardian of each participant signed the informed consent form. After the baseline assessment, this preliminary study recruited 10 participants with unilateral CP who were allocated into the experimental group (group A) and control group (group B). In accordance with an allocation ratio of 1:1, there were five participants in each group. The duration of each session was 60 minutes. The children in the experimental group underwent 30 minutes of NIVR-based intervention using a driving simulation game with PlayStation 4 (Sony Interactive Entertainment Inc., Minato, Tokyo, Japan), as shown in Figure 1. In addition to NIVR, they also underwent 30 minutes of conventional physiotherapy that included weight-bearing exercises, multidirectional reaching activities, strengthening of weak muscles, and stretching of tight structures, while the children in the control group received 60 minutes of conventional physiotherapy for five days per week over a period of six weeks. Nine-hole peg test (9HPT) and box and block test (BBT) were used to evaluate hand function, whereas ABILHAND kids and self-care section of functional independence measure for children (WeeFIM) were used to measure functional independence. Pre- and post-intervention scores of all the outcome measures were analyzed and compared within groups and between groups.
Figure 1

Non-immersive virtual reality based intervention

Results

There was no significant difference in the age-wise distribution of participants between group A (experimental) and group B (control), as shown in Table 1 and Figure 2.
Table 1

Age-wise distribution of children

NS, non-significant; SD, standard deviation

Age (years)Group AGroup BX2 value
62 (40%)1 (20%)4.33, p=0.36, NS
71 (20%)0 (0%)
81 (20%)3 (60%)
91 (20%)0 (0%)
100 (0%)1 (20%)
Total5 (100%)5 (100%)
Mean±SD7.20±1.308±1.41
Age range6-9 years6-10 years
Figure 2

Graph showing age-wise distribution of children

Yrs, years

Age-wise distribution of children

NS, non-significant; SD, standard deviation

Graph showing age-wise distribution of children

Yrs, years There was no significant difference in the gender-wise distribution of participants between group A (experimental) and group B (control), as shown in Table 2 and Figure 3.
Table 2

Gender-wise distribution of children

NS, non-significant

Gender Group A Group B X2 value
Male 5 (100%) 3 (60%) 2.50, p=0.15, NS
Female 0 (0%) 2 (40%)
Total 5 (100%) 5 (100%)
Figure 3

Graph showing gender-wise distribution of children

Gender-wise distribution of children

NS, non-significant By using the chi-square test, statistically, no significant difference was found in the GMFCS level among participants in group A and group B (X2 value=2.20, p=0.33), as shown in Table 3 and Figure 4.
Table 3

Distribution of children according to the GMFCS level

GMFCS, Gross Motor Function Classification System; NS, non-significant

GMFCS Level Group A Group B X2 value
I 1 (20%) 0 (0%) 2.20, p=0.33, NS
II 3 (60%) 2 (40%)
III 1 (20%) 3 (60%)
Total 5 (100%) 5 (100%)
Figure 4

Graph showing distribution of children according to the GMFCS level

GMFCS, Gross Motor Function Classification System

Distribution of children according to the GMFCS level

GMFCS, Gross Motor Function Classification System; NS, non-significant

Graph showing distribution of children according to the GMFCS level

GMFCS, Gross Motor Function Classification System By using the chi-square test, no statistically significant difference was found in the MACS level among participants in group A and group B (X2 value=2.20, p=0.33), as shown in Table 4 and Figure 5.
Table 4

Distribution of children according to the MACS level

MACS, Manual Ability Classification System; NS, non-significant

MACS level Group A Group B X2 value
I 1 (20%) 0 (0%) 2.20, p=0.33, NS
II 3 (60%) 2 (40%)
III 1 (20%) 3 (60%)
Total 5 (100%) 5 (100%)
Figure 5

Graph showing distribution of children according to the MACS level

MACS, Manual Ability Classification System

Distribution of children according to the MACS level

MACS, Manual Ability Classification System; NS, non-significant

Graph showing distribution of children according to the MACS level

MACS, Manual Ability Classification System Mean 9HPT score in the children of group A was 55.80±6.01 pre-treatment and it was 39.80±4.43 post-treatment. By using Student’s paired t-test, a statistically significant difference was found between pre-test and post-test 9HPT scores (t=16, p=0.0001), as shown in Table 5 and Figure 6. Mean 9HPT score in the children of group B was 56.80±7.19 pre-treatment and it was 51.40±6.58 post-treatment. By using Student’s paired t-test, a statistically significant difference was found between pre-test and post-test 9HPT scores (t=7.21, p=0.002), as shown in Table 5 and Figure 6.
Table 5

Comparison of pre- and post-treatment 9HPT scores in group A and group B by using Student’s paired t-test

9HPT, nine-hole peg test; S, significant; t/t, treatment

 MeanNStandard deviationStandard error meanMean differencet-Value
Group APre t/t55.8056.012.6916±2.2316, p=0.0001, S
Post t/t39.8054.431.98
Group BPre t/t56.8057.193.215.40±1.677.21, p=0.002, S
Post t/t51.4056.582.94
Figure 6

Graph showing comparison of pre- and post-treatment 9HPT scores in group A and group B

9HPT, nine-hole peg test; SD, standard deviation; t/t, treatment

Comparison of pre- and post-treatment 9HPT scores in group A and group B by using Student’s paired t-test

9HPT, nine-hole peg test; S, significant; t/t, treatment

Graph showing comparison of pre- and post-treatment 9HPT scores in group A and group B

9HPT, nine-hole peg test; SD, standard deviation; t/t, treatment Mean pre-treatment 9HPT score of the children in group A was 55.80±6.01 and in group B it was 56.80±7.19. By using Student’s unpaired t-test, no statistically significant difference was found in pre-treatment 9HPT scores between group A and group B (t=0.23, p=0.81), as shown in Table 6 and Figure 7. Mean post-treatment 9HPT score of the children in group A was 39.80±4.43 and in group B it was 51.40±6.58. By using Student’s unpaired t-test, a statistically significant difference was found in post-treatment 9HPT scores between group A and group B (t=3.26, p=0.011), as shown in Table 6 and Figure 7.
Table 6

Comparison of pre- and post-treatment 9HPT scores between group A and group B

9HPT, nine-hole peg test; NS, non-significant; S, significant

TestGroup AGroup Bt-valuep-value
Pre t/t55.80±6.0156.80±7.190.230.81, NS
Post t/t39.80±4.4351.40±6.583.260.011, S
Figure 7

Graph showing comparison of pre- and post-treatment 9HPT scores between group A and group B

9HPT, nine-hole peg test; SD, standard deviation; t/t, treatment

Comparison of pre- and post-treatment 9HPT scores between group A and group B

9HPT, nine-hole peg test; NS, non-significant; S, significant

Graph showing comparison of pre- and post-treatment 9HPT scores between group A and group B

9HPT, nine-hole peg test; SD, standard deviation; t/t, treatment Mean BBT score in the children of group A was 15.60±3.50 pre-treatment and it was 26.60±2.30 post-treatment. By using Student’s paired t-test, a statistically significant difference was found between pre-test and post-test BBT scores (t=11.59, p=0.0001), as shown in Table 7 and Figure 8. Mean BBT score in the children of group B was 14±3.53 pre-treatment and it was 17.80±5.01 post-treatment. By using Student’s paired t-test, a statistically significant difference was found between pre-test and post-test BBT scores (t=5.17, p=0.0001), as shown in Table 7 and Figure 8.
Table 7

Comparison of pre- and post-treatment BBT scores in group A and group B by using Student’s paired t-test

BBT, box and block test; S, significant; t/t, treatment

 MeanNStandard deviationStandard error meanMean differencet-Value
Group APre t/t15.6053.501.5611±2.1211.59, p=0.0001, S
Post t/t26.6052.301.02
Group BPre t/t1453.531.583.80±1.645.17, p=0.0001, S
Post t/t17.8055.012.24
Figure 8

Graph showing comparison of BBT scores in group A and group B

BBT, box and block test, S, significant; t/t, treatment

Comparison of pre- and post-treatment BBT scores in group A and group B by using Student’s paired t-test

BBT, box and block test; S, significant; t/t, treatment

Graph showing comparison of BBT scores in group A and group B

BBT, box and block test, S, significant; t/t, treatment Mean pre-treatment BBT score of the children in group A was 15.60±3.50 and in group B it was 14±3.53. By using Student’s unpaired t-test, no statistically significant difference was found in pre-treatment BBT scores between group A and group B (t=0.71, p=0.49), as shown in Table 8 and Figure 9. Mean post-treatment BBT score of the children in group A was 26.60±2.30 and in group B it was 17.80±5.01. By using Student’s unpaired t-test, a statistically significant difference was found in post-treatment BBT scores between group A and group B (t=3.56, p=0.007), as shown in Table 8 and Figure 9.
Table 8

Comparison of BBT scores between group A and group B by using Student’s unpaired t-test

NS, non-significant; S, significant; t/t, treatment

Test Group A Group B t-Value p-Value
Pre t/t 15.60±3.50 14±3.53 0.71 0.49, NS
Post t/t 26.60±2.30 17.80±5.01 3.56 0.007, S
Figure 9

Graph showing comparison of BBT scores between group A and group B

BBT, box and block test, SD, standard deviation; t/t, treatment

Comparison of BBT scores between group A and group B by using Student’s unpaired t-test

NS, non-significant; S, significant; t/t, treatment

Graph showing comparison of BBT scores between group A and group B

BBT, box and block test, SD, standard deviation; t/t, treatment Mean ABILHAND kids score in the children of group A was 50.40±6.54 pre-treatment and it was 64.00±3.00 post-treatment. By using Student’s paired t-test, a statistically significant difference was found between pre-test and post-test ABILHAND kids scores (t=5.93, p=0.004), as shown in Table 9 and Figure 10. Mean ABILHAND kids score in the children of group B was 44.40±7.36 pre-treatment and it was 47.80±5.93 post-treatment. By using Student’s paired t-test, a statistically significant difference was found between pre-test and post-test ABILHAND kids scores (t=5.01, p=0.007), as shown in Table 9 and Figure 10.
Table 9

Comparison of ABILHAND Kids scores in group A and group B by using Student’s paired t-test

S, significant; t/t, treatment

  Mean N Standard deviation Standard error mean Mean difference t-Value
Group A Pre t/t 50.40 5 6.54 2.92 13.60±5.12 5.93, p=0.004, S
Post t/t 64.00 5 3.00 1.34
Group B Pre t/t 44.40 5 7.36 3.29 3.40±1.51 5.01, p=0.007, S
Post t/t 47.80 5 5.93 2.65
Figure 10

Graph showing comparison of ABILHAND Kids score in group A and group B

SD, standard deviation; t/t, treatment

Comparison of ABILHAND Kids scores in group A and group B by using Student’s paired t-test

S, significant; t/t, treatment

Graph showing comparison of ABILHAND Kids score in group A and group B

SD, standard deviation; t/t, treatment Mean pre-treatment ABILHAND kids score of the children in group A was 50.40±6.54 and in group B it was 44.40±7.36. By using Student’s unpaired t-test, no statistically significant difference was found in pre-treatment ABILHAND kids scores between group A and group B (t=1.36, p=0.21), as shown in Table 10 and Figure 11. Mean post-treatment ABILHAND kids score of the children in group A was 64±3 and in group B it was 47.80±5.93. By using Student’s unpaired t-test, a statistically significant difference was found in post-treatment ABILHAND kids scores between group A and group B (t=5.44, p=0.001), as shown in Table 10 and Figure 11.
Table 10

Comparison of ABILHAND Kids scores between group A and group B by using Student’s unpaired t-test

NS, non-significant; S, significant; t/t, treatment

Test Group A Group B t-value p-value
Pre t/t 50.40±6.54 44.40±7.36 1.36 0.21, NS
Post t/t 64±3 47.80±5.93 5.44 0.001, S
Figure 11

Graph showing comparison of ABILHAND Kids scores between group A and group B

SD, standard deviation; t/t, treatment

Comparison of ABILHAND Kids scores between group A and group B by using Student’s unpaired t-test

NS, non-significant; S, significant; t/t, treatment

Graph showing comparison of ABILHAND Kids scores between group A and group B

SD, standard deviation; t/t, treatment Mean WeeFIM (self-care) score in the children of group A was 28.60±7.36 pre-treatment and it was 35.40±7.23 post-treatment. By using the Wilcoxon signed rank a test, a statistically significant difference was found between pre-test and post-test WeeFIM (self-care) scores (z=18.17, p=0.0001), as shown in Table 11 and Figure 12. Mean WeeFIM (self-care) score in the children of group B was 25.80±5.80 pre-treatment and it was 27.20±5.16 post-treatment. By using the Wilcoxon signed rank test, a statistically significant difference was found between pre-test and post-test WeeFIM (self-care) scores (z=2.76, p=0.042), as shown in Table 11 and Figure 12.
Table 11

Comparison of WeeFIM (self-care) scores in group A and group B by using the Wilcoxon signed rank test

S, significant; t/t, treatment

  Mean N Standard deviation Standard error mean Mean difference z-Value
Group A Pre t/t 28.60 5 7.36 3.295 6.80±0.83 18.17, p=0.0001, S
Post t/t 35.40 5 7.23 3.23
Group B Pre t/t 25.80 5 5.80 2.59 1.40±1.14 2.76, p=0.042, S
Post t/t 27.20 5 5.16 2.31
Figure 12

Graph showing comparison of WeeFIM (self-care) scores in group A and group B

FIM, functional independence measure; SD, standard deviation; t/t, treatment

Comparison of WeeFIM (self-care) scores in group A and group B by using the Wilcoxon signed rank test

S, significant; t/t, treatment

Graph showing comparison of WeeFIM (self-care) scores in group A and group B

FIM, functional independence measure; SD, standard deviation; t/t, treatment Mean pre-treatment WeeFIM (self-care) score of the children in group A was 28.60±7.36 and in group B it was 25.80±5.80. By using the Mann-Whitney U test, no statistically significant difference was found in pre-treatment WeeFIM (self-care) scores between group A and group B (t=0.66, p=0.52), as shown in Table 12 and Figure 13. Mean post-treatment WeeFIM (self-care) score of the children in group A was 35.40±7.23 and in group B it was 27.20±5.16. By using the Mann-Whitney U test, a statistically significant difference was found in post-treatment WeeFIM (self-care) scores between group A and group B (t=2.56, p=0.042), as shown in Table 12 and Figure 13.
Table 12

Comparison of WeeFIM (self-care) scores between group A and group B by using the Mann-Whitney U test

NS, non-significant; S, significant; t/t, treatment

Test Group A Group B t-value p-value
Pre t/t 28.60±7.36 25.80±5.80 0.66 0.52, NS
Post t/t 35.40±7.23 27.20±5.16 2.56 0.042, S
Figure 13

Graph showing comparison of WeeFIM (self-care) scores between group A and group B

FIM, functional independence measure; SD, standard deviation; t/t, treatment

Comparison of WeeFIM (self-care) scores between group A and group B by using the Mann-Whitney U test

NS, non-significant; S, significant; t/t, treatment

Graph showing comparison of WeeFIM (self-care) scores between group A and group B

FIM, functional independence measure; SD, standard deviation; t/t, treatment Statistical analysis was conducted by descriptive and inferential statistics using the chi-square test, Student’s paired and unpaired test, Wilcoxon signed rank test, and Mann-Whitney U test, software used in the analysis were SPSS 27.0 version (IBM Corp., Armonk, NY, USA) and GraphPad Prism 7.0 version, and p<0.05 was considered as a level of significance.

Discussion

The protocol of this study has been adapted from a previously published study [12], though the sample size is limited as this is a pilot study. Similar to the findings of the present study, previous studies supported the possibility of using NIVR as an intervention for children with hemiplegic CP who avoid using the hand on the affected side [13-15]. In 2019, Martins et al. concluded that practice of tasks in virtual environment helped in performing the real tasks [13]. Also, gait and gross motor function has shown improvement with NIVR intervention in children with CP [16]. The principles of neuroplasticity and that of motor learning including explicit feedback and multimodal stimulation are well tapped by virtual reality (VR) systems [17]. Besides, conventional physiotherapy in the form of active exercises performed by the participants in both groups must have contributed in bringing about the positive changes [18]. All the outcome measures used in the study, namely, 9HPT [19], BBT [20], ABILHAND kids [21], and WeeFIM [22], are valid and reliable. Apart from statistically significant differences noted between the experimental and control groups, clinically significant difference was observed in hand function and functional independence between both groups. Immersive VR systems use head-mounted display [23] that may not be tolerated well by young children between 6 and 12 years of age [24]. NIVR-based intervention was reported to be comfortable and enjoyable by the children. No negative effect of NIVR intervention was noted during the study, similar to what was remarked in a systematic review published in 2020 [25]. The children were well-engaged during the NIVR sessions. They were intrinsically motivated to actively use both hands for gaming. Apart from neurorehabilitation, VR has been utilized as a distraction for pain management in children [26,27]. VR-based games have also been investigated as a tool for telerehabilitation [28]. There is a plethora of systems that provide options for NIVR gaming. Nevertheless, further research on innovative applications of this user-friendly approach is warranted.

Conclusions

It can be concluded that the study design is feasible and can be used with a larger sample size for further trial. The preliminary findings of this study, although limited by a small size of the sample, indicate that NIVR deserves exploration as a viable intervention for improving hand function and for decreasing dependence in the performance of routine activities for children with unilateral CP. NIVR came out as an interesting way to engage children with unilateral CP in an activity that requires bilateral hand use, which they otherwise avoided.
  28 in total

Review 1.  Virtual reality in neuroscience research and therapy.

Authors:  Corey J Bohil; Bradly Alicea; Frank A Biocca
Journal:  Nat Rev Neurosci       Date:  2011-11-03       Impact factor: 34.870

2.  Kinect Xbox 360 as a therapeutic modality for children with cerebral palsy in a school environment: a preliminary study.

Authors:  Laura Luna-Oliva; Rosa María Ortiz-Gutiérrez; Roberto Cano-de la Cuerda; Rosa Martínez Piédrola; Isabel M Alguacil-Diego; Carlos Sánchez-Camarero; María Del Carmen Martínez Culebras
Journal:  NeuroRehabilitation       Date:  2013       Impact factor: 2.138

3.  Addition of a non-immersive virtual reality component to treadmill training to reduce fall risk in older adults (V-TIME): a randomised controlled trial.

Authors:  Anat Mirelman; Lynn Rochester; Inbal Maidan; Silvia Del Din; Lisa Alcock; Freek Nieuwhof; Marcel Olde Rikkert; Bastiaan R Bloem; Elisa Pelosin; Laura Avanzino; Giovanni Abbruzzese; Kim Dockx; Esther Bekkers; Nir Giladi; Alice Nieuwboer; Jeffrey M Hausdorff
Journal:  Lancet       Date:  2016-08-11       Impact factor: 79.321

4.  Immersive virtual reality vs. non-immersive distraction for pain management of children during bone pins and sutures removal: A randomized clinical trial protocol.

Authors:  Sylvie Le May; Argerie Tsimicalis; Melanie Noel; Pierre Rainville; Christelle Khadra; Ariane Ballard; Estelle Guingo; Casey Cotes-Turpin; Sofia Addab; Khadidja Chougui; Maxime Francoeur; Nicole Hung; Mitchell Bernstein; Stéphane Bouchard; Stefan Parent; Mathilde Hupin Debeurme
Journal:  J Adv Nurs       Date:  2020-10-24       Impact factor: 3.187

Review 5.  Non-Immersive Virtual Reality for Rehabilitation of the Older People: A Systematic Review into Efficacy and Effectiveness.

Authors:  Roberta Bevilacqua; Elvira Maranesi; Giovanni Renato Riccardi; Valentina Di Donna; Paolo Pelliccioni; Riccardo Luzi; Fabrizia Lattanzio; Giuseppe Pelliccioni
Journal:  J Clin Med       Date:  2019-11-05       Impact factor: 4.241

6.  Effect of virtual reality and haptic feedback on upper extremity function and functional independence in children with hemiplegic cerebral palsy: a research protocol.

Authors:  Chanan Goyal; Vishnu Vardhan; Waqar Naqvi; Sakshi Arora
Journal:  Pan Afr Med J       Date:  2022-02-22

7.  Virtual reality distraction for acute pain in children.

Authors:  Veronica Lambert; Patrick Boylan; Lorraine Boran; Paula Hicks; Richard Kirubakaran; Declan Devane; Anne Matthews
Journal:  Cochrane Database Syst Rev       Date:  2020-10-22
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