This paper is in the following e-collection/theme issue:

Reviews (41) Extended Reality, Virtual Reality and Virtual Worlds (520) Cognitive and Neurorehabilitation (237) Serious Games for Health and Medicine (647) Emerging Technologies for Rehabilitation (241) Virtual Reality Interventions in Mental Health (111) Virtual Reality in Pediatrics (16)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42067, first published .
Short- to Long-Term Effects of Virtual Reality on Motor Skill Learning in Children With Cerebral Palsy: Systematic Review and Meta-Analysis

Short- to Long-Term Effects of Virtual Reality on Motor Skill Learning in Children With Cerebral Palsy: Systematic Review and Meta-Analysis

Short- to Long-Term Effects of Virtual Reality on Motor Skill Learning in Children With Cerebral Palsy: Systematic Review and Meta-Analysis

Authors of this article:

Seyma Kilcioglu1 Author Orcid Image ;   Benoît Schiltz1 Author Orcid Image ;   Rodrigo Araneda1, 2 Author Orcid Image ;   Yannick Bleyenheuft1 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics

    Review

    1Institute of Neuroscience, Université Catholique de Louvain (UCLouvain), Brussels, Belgium

    2Exercise and Rehabilitation Science Institute, School of Physical Therapy, Faculty of Rehabilitation Science, Universidad Andrés Bello, Santiago, Chile

    Corresponding Author:

    Rodrigo Araneda, PhD

    Institute of Neuroscience

    Université Catholique de Louvain (UCLouvain)

    Avenue E. Mounier 53, 1200

    Brussels

    Belgium

    Phone: 32 27645446

    Email: rodrigo.araneda@uclouvain.be


    Background: Many studies have started integrating virtual reality (VR) into neurorehabilitation for children with cerebral palsy (CP). The results of the effects of VR on motor skill learning, including the short- to long-term results of relevant studies, must be pooled in a generic framework.

    Objective: This systematic review and meta-analysis aimed to investigate the short- to long-term effects of therapies including VR on motor skill learning in children with CP.

    Methods: Two examiners followed the inclusion and exclusion criteria of the “Participant, Intervention, Control, and Outcome” framework. Randomized controlled trials (RCTs) and non-RCTs were considered if they compared VR-included interventions with control groups on motor functions and daily life activities in children with CP. PubMed, ScienceDirect, Embase, and IEEE Xplore databases were searched. The modified Downs and Black assessment was used to assess the methodological quality of the included studies. Meta-analyses and subgroup analyses for RCTs were conducted whenever possible.

    Results: A total of 7 RCTs, 2 non-RCTs, and 258 children with CP were included. The priority focus of 78% (7/9) of the studies was upper limb functions. There was a significant short-term effect of adding VR to conventional therapies on upper limb functions when compared with conventional therapies (P=.04; standardized mean difference [SMD]=0.39, 95% CI 0.01-0.76). The overall medium- to long-term effects showed a trend toward favoring the VR group, although the difference was not statistically significant (P=.06; SMD=0.37, 95% CI −0.02 to 0.77). For balance (P=.06; SMD=1.04, 95% CI −0.04 to 2.12), gross motor functions (P=.30; SMD=2.85, 95% CI −2.57 to 8.28), and daily life activities outcomes (P=.21; SMD=0.29, 95% CI −0.16 to 0.74), the overall effect in the short term also showed a trend toward favoring the VR group, but these results were not statistically significant.

    Conclusions: VR seems to have additional benefits for motor skill learning in children with CP. Studies with follow-up outcomes of VR training focusing on balance and gross motor functions in patients with CP were quite limited. Future research on balance and gross motor function outcomes should target particularly long-term results of therapies including VR on motor skill learning.

    Trial Registration: PROSPERO International Prospective Register of Systematic Reviews CRD42021227734; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021227734

    JMIR Serious Games 2023;11:e42067

    doi:10.2196/42067

    Keywords

    cerebral palsy; virtual reality; motor skill learning; long-term effect; daily life activities; motor functions 


    Background

    Cerebral palsy (CP), the leading motor disability in childhood with a worldwide prevalence of 2 per 1000 live births, is a group of permanent movement and posture disorders caused by an early brain lesion during pregnancy, childbirth, or shortly after birth [1,2]. In addition to the motor consequences, sensory and cognitive functions affecting daily life activities may also be impaired [2]. From the rehabilitation perspective, motor skill learning–based approaches have shown encouraging efficacy in improving motor functions in children with CP in recent years [3]. Interventions based on motor skill learning principles (more intensity, performance of daily living activities, repeating functional tasks, individually tailored, progressively challenging, and motivating feedback) have been shown to promote persistent motor skill acquisition and neuroplasticity (practice-induced brain changes) [4,5]. In addition, it is now well established that sustaining children’s attention, interest, and enjoyment for a long time is one of the critical factors, but it is also challenging for optimizing rehabilitation outcomes and neuroplastic changes [6]. Consequently, researchers have focused on how to foster neuroplastic changes and functional improvements with more intensity and diversity of practice without a trade-off in terms of entertainment.

    Thus, with the results of recent studies and the increase in access to computer-assisted technologies, the use of virtual reality (VR) as a means of neurorehabilitation for children with CP has been encouraged. VR refers to a computer-generated simulation that may vary in complexity and reality owing to the rapidly evolving nature of technology [7,8]. The VR environment can be experienced through a variety of display hardware, including standard monitors, flat screens, projection screens, and head-mounted displays. The method of interacting with the VR system may also vary from simple activation of computer keyboard keys, mouse, or joystick to more advanced motion camera interfaces [9,10]. Consequently, VR devices used in rehabilitation can be classified as immersive, semi-immersive, and nonimmersive depending on the level of immersion [11,12]. Furthermore, certain devices are specifically designed for rehabilitation purposes, whereas commercially available devices and games are also used in the rehabilitation of various disorders. A systematic review on the clinical utility of VR in neurorehabilitation reported that CP is the second most studied neurological disorder in VR rehabilitation [13]. In addition, You et al [14] and Golomb et al [15] showed cortical reorganization after VR therapy in children with CP and the association of the cortical changes with functional abilities. The advantage of using VR in rehabilitation is not only to increase entertainment with playful interactive games but also to have games with individually tailored, progressively adjustable difficulty levels and to provide active repetition in an enriched environment [9]. Thus, with these advantages, VR may well correspond to the challenges in rehabilitation such as the use of motor skill learning principles to develop long-lasting motor skill acquisition in children.

    Objectives

    Several systematic reviews investigated the effectiveness of VR on upper and lower limb functions, gross motor functions, and postural control in children with CP in the short term, that is, immediately after treatment [16-18]. They showed a promising potential of adding VR into CP interventions for improving motor functions. However, the long-term effects of VR interventions on motor skill learning remain unclear, although durable retention of acquired skills is one of the crucial factors for rehabilitation objectives. Consequently, this systematic review and meta-analysis was conducted to examine the effect of VR on motor functions and daily life activities of children with CP from the short term (immediately after the intervention) to the medium term (≥1 week to <12 weeks after the end of the intervention) or long term (≥12 weeks after the end of the intervention).


    Protocol and Registration

    We followed the guidelines of the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 statement to conduct this systematic review and meta-analysis and reported our results according to PRISMA 2020 checklist [19]. The protocol of this review was registered in the PROSPERO database (CRD42021227734).

    Eligibility Criteria

    Inclusion criteria of the studies were defined after discussion among all authors according to the PICO (Population, Intervention, Comparison, and Outcome) framework [20]. As a result, studies (1) with a population of children with CP aged <18 years; (2) using VR for main intervention; (3) comparing the experimental group (therapy involving VR) with any control group (another intervention except VR, nonintervention, placebo effect, or different cohorts); and (4) including baseline, postintervention, and follow-up assessments by using outcome measures on motor functions and daily life activities were included. We excluded studies if they (1) involved populations other than children with CP aged <18 years; (2) used VR only for assessment or focused on the development of VR devices; (3) used different outcome measures than on motor functions and daily life activities; (4) were not published in English; (5) were reviews, meta-analyses, commentaries, protocols, and conference abstracts; and (6) did not have follow-up assessment (ie, had only baseline and postintervention assessments). In this review, we decided to include studies involving commercially available VR devices or those specifically developed for therapy, regardless of the degree of immersive experience, type of display hardware, or the method of interaction with the VR system.

    Information Sources and Search Strategy

    Two authors systematically and independently searched PubMed, ScienceDirect, Embase, and IEEE Xplore databases in September 2021 using predetermined keyword combinations, which were “virtual reality,” “virtual environment,” “videogaming,” “computer game,” “Kinect,” “Wii,” “PlayStation,” “cerebral palsy,” “CP,” “rehabilitation,” “therapy” and “motor skill learning.” The results of the search in the 4 databases were transferred to the EndNote (version 9; Clarivate), and duplicates were removed by 1 author. The search strategy used for each database is detailed in Multimedia Appendix 1. We did not apply any restriction regarding the date of publication for our search strategy.

    Study Selection Process

    After detecting and eliminating duplicated studies obtained from the searches, 2 authors first screened titles and abstracts according to the inclusion and exclusion criteria. After several discussions and resolving the conflicts between authors, full texts of studies that have the potential to be included were obtained. Then, the eligibility of the studies was assessed using full-text screening. All screening and study selection processes were performed by the same 2 authors who were blinded to each other using Rayyan web-based software (Qatar Computing Research Institute) [21].

    Data Collection Process and Data Items

    The following information was extracted by 2 authors independently to a predesigned Microsoft Excel (Microsoft Corp) sheet: characteristics of the study (first author, year of publication, and study design), characteristics of the participants (number of participants, CP type, age, Manual Ability Classification System [MACS], and Gross Motor Function Classification System [GMFCS] level), characteristics of the VR interventions and comparison interventions (name, duration, frequency, length, total hour, priority focus, and motor skill learning principles involved in experimental interventions), characteristics of outcomes measures (timing and measures), and main outcomes. In addition, to collect the data from the included studies, another predesigned Microsoft Excel sheet was used, with the following content: mean and SD of experimental (VR) and control groups at postintervention and follow-up points and sample sizes of both groups. When there was no information about the means and SDs of results, they were calculated from SE, CI, t test, or P value as recommended by the Cochrane handbook [22]. Disagreements between the data collectors were resolved by a discussion.

    Methodological Quality Assessment

    Two authors independently assessed the methodological quality of the included studies using the modified Downs and Black checklist. This is a valid and reliable tool to assess the quality of both randomized controlled trials (RCTs) and non-RCTs [23]. Conflicts were resolved by discussion. This checklist comprises 27 items on the quality of reporting (10 items), external validity (3 items), internal validity (bias and confounding; 13 items), and statistical power (1 item).

    The highest possible score for the original checklist was 32. However, as item 27 was complicated to score (from 0 to 5), a modified version of the scoring method was proposed, as observed in previous studies [17,24,25]. Thus, each item was scored as 0 (no) or 1 (yes), except for the fifth item that was scored as 0 (no), 1 (partially), or 2 (yes). Consequently, scores on the modified Downs and Black checklist corresponding to quality levels ranged between “excellent” (scores of 24-28), “good” (scores of 19-23), “fair” (scores of 14-18), and “poor” (scores of ≤13) [26,27].

    Effect Measures and Synthesis Methods

    We conducted a meta-analysis for the RCTs that met the criteria for eligible design and outcomes. The results from the studies on motor functions and activities of daily living were extracted into a Microsoft Excel sheet. For continuous data, standardized mean difference (SMD) with a 95% CI, which refers to the effect size, was measured using a random effects model because of the different clinical tests used in the included studies. For the interpretation of effect sizes, we followed Cohen rule in which 0.2, 0.5, and 0.8 represent small, medium, and large effect sizes, respectively [28]. Statistical significance was set at .05, and statistical heterogeneity was examined using the I2 statistic. Heterogeneity was rated as low (I2≤25%), moderate (25%<I2<75%), or high (I2≥75%).

    To explore whether the duration and intensity of VR training (more intensive: more therapy time per week, which is obtained by the higher frequency of sessions or longer duration of each therapy session) as well as the type of VR had some influence on the results, subgroup analyses were performed (when possible) according to the following criteria: duration (<30 min per session, ≥30 to <60 min per session, or ≥60 min per session), intensity (≤120 min per week or >120 min per week) and VR type (specifically developed for therapy or commercially available). The software Review Manager (version 5.4.1; Cochrane) for Windows was used to conduct the analyses of the included studies.


    Study Selection

    Our database search resulted in 1643 studies after removing 319 duplicate records. After title and abstract screening, we excluded 1492 records for the reasons specified in Figure 1. Full texts of the remaining 151 studies were assessed for eligibility, and finally, 9 studies met the inclusion criteria, 7 (78%) of which were RCTs.

    ‎
    Figure 1. PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) flow diagram of the study selection process. VR: virtual reality.

    Study Characteristics

    Overview

    The 9 included studies involved 258 children, 163 with unilateral CP and 95 with bilateral CP (BCP), aged between 3 and 18 years. Four studies reported the gross motor functions of children, classifying them from levels I to V according to the GMFCS [29-32]. Five studies classified children from level I to V regarding the use of their hands when handling objects in daily activities using the MACS [29,32-35]. The characteristics of the included studies are presented in Tables 1-3.

    Table 1. List of study characteristics.
    StudyParticipantsExperimental groupControl groupOutcomes measures: timing and measuresMain outcomes


    		InterventionDuration, frequency, length, and total time of VRaPriority focusInterventionDuration, frequency, length, and total timePriority focus

    Choi et al [33], 202134 children with unilateral CPb and 44 children with bilateral CP, age: 3-18 yearsVR (RAPAEL Smart Kids) + conventional occupational therapy (stretching, strengthening, and task-oriented training)30 min, 5 sessions, 4 weeks, and 10 hUpper limbConventional occupational therapy60 min, 5 sessions, 4 weeks, and 20 hUpper limb Baseline, postintervention, follow-up (8 +1 or −1 weeks after completion of intervention); MA-2c, ULPRSd, and PEDI-CATeMore improvement in VR group in MA-2 and performance of activities of daily living domain of PEDI-CAT. Improvements were retained at follow-up.
    Preston et al [34], 201614 children with unilateral CP and 1 child with bilateral CP, age: 5-12 yearsVR (computer-assisted arm rehabilitation gaming technology) + conventional therapy + botulinum toxin7 min per session, 6 weeks, and 1 h 39 minUpper limbConventional therapy + botulinum toxin6 weeksUpper limbBaseline, postintervention, follow-up (6 weeks after completion of intervention); ABILHAND-Kids questionnaire, and COPMfNo improvement in both groups in ABILHAND-Kids, and no difference between groups at any time point. Improvement in all participants in COPM.
    Peper et al [35], 20136 children with unilateral CP, age: 7-12 yearsVR (computer games with Lissajous feedback) + conventional therapy (if any)30 min, 3 sessions, 6 weeks, and 9 hUpper limbConventional therapy6 weeks—gBaseline, postintervention, follow-up (6 weeks after completion of intervention); AHAhNo improvement at group level in AHA.
    Rostami et al [36], 201232 children with unilateral CP, age: 6-12 yearsVR group: VR (E-Link Evaluation and Exercise System) + conventional therapy, VR + mCIMTi group90 min, 3 sessions, 4 weeks, and 18 hUpper limbConventional therapy30 min, 2 sessions, 4 weeks, and 4 hUpper limbBaseline, postintervention, follow-up (12 weeks after completion of intervention); PMALj, and speed and dexterity subtest of BOTMPkMore improvement in VR + mCIMT group in PMAL and BOTMP. Improvements were retained at follow-up.
    Kassee et al [29], 20176 children with unilateral CP, age: 7-12 yearsVR (Nintendo Wii)40 min, 5 sessions, 6 weeks, and 20 hUpper limbResistance training36-48 min, 5 sessions, 6 weeks, and 18-24 hUpper limbBaseline, postintervention, follow-up (4 weeks after completion of intervention); MA-2, ABILHAND-Kids questionnaire, and grip strengthNo statistical analysis to determine group differences.
    Psychouli and Kennedy [37], 20169 children with unilateral CP, age: 5-11 yearsVR (computer game with a joystick) + mCIMT20 min, 7 sessions, 4 weeks, and 9 hUpper limbmCIMT4 weeksUpper limbBaseline, postintervention, follow-up (4 weeks after completion of intervention); MA, and QUESTlMore improvement in VR + mCIMT group in MA, QUEST. Improvement in MA was retained at follow-up.
    Decavele et al [30], 202032 children with bilateral CP, age: 6-15 yearsVR (OpenFeasyo games with Wii Balance Board) + conventional therapyAt least 15-20 min, 2 sessions, 12 weeks, and approximately 5 hUpper and lower limb, trunk controlConventional therapy32.6 min, 20.6 sessions (total),12 weeks, and approximately 11 h—Baseline, postintervention, after washout period (12 weeks after), after control period; GASm, TCMSn, PBSo, and GMFMp-88More improvement after intervention period (VR + conventional therapy) compared with control period (conventional therapy) in GAS, TCMS, PBS, GMFM-88. Improvements were not retained at follow-up.
    Pin and Butler, 2019 [31]18 children with bilateral CP, age: 6-14 yearsVR (TYROMOTION force plate) + conventional therapy20 min, 4 sessions, 6 weeks, and 8 hPostural controlConventional therapy6 weeks—Baseline, midpoint of intervention (week 3), postintervention (week 6), follow-up (6 weeks after completion of intervention); PRTq, GMFM-66, and 2-min walk testNo significant difference between the groups at any time and in any of the assessments. Improvements in both groups in GMFM-66 after 6 weeks of the intervention.
    Chiu et al [32], 201462 children with unilateral CP, age: 6-13 yearsVR (Wii Sports Resort) + conventional therapy40 min, 3 sessions, 6 weeks, and 12 hUpper limbConventional therapy6 weeks—Baseline, postintervention, follow-up (6 weeks after completion of the intervention); coordination (elbow and finger), grip strength, Nine-Hole Peg Test, JTTHFr, and FUSsNo significant difference between the groups in coordination, Nine-Hole Peg Test, and Jebsen-Taylor Test. Trend for the experimental group to have more grip strength and FUS quantity.

    aVR: virtual reality.

    bCP: cerebral palsy.

    cMA-2: Melbourne Assessment 2.

    dULPRS: Upper Limb Physician’s Rating Scale.

    ePEDI-CAT: Pediatric Evaluation of Disability Inventory Computer Adaptive Test.

    fCOPM: Canadian Occupational Performance Measure.

    gNot available.

    hAHA: Assisting Hand Assessment.

    imCIMT: modified constraint-induced movement therapy.

    jPMAL: Pediatric Motor Activity Log.

    kBOTMP: Bruininks-Oseretsky Test of Motor Proficiency.

    lQUEST: Quality of Upper Extremity Skills Test.

    mGAS: Goal Attainment Scale.

    nTCMS: Trunk Control Measurement Scale.

    oPBS: Pediatric Balance Scale.

    pGMFM: Gross Motor Function Measure.

    qPRT: Pediatric Reach Test.

    rJTHFT: Jebsen-Taylor Hand Function Test.

    sFUS: Functional Use Survey.

    Table 2. Motor skill learning principles of experimental interventions and results in upper limb functions and daily life activities.
    StudyExperimental interventionMotor skill learning principles involved in the experimental interventionChanges in upper limb functions and daily life activities
    Choi et al [33], 2021Conventional occupational therapy + VRa (specifically developed for therapy)More intensity, performance of daily life activities, repeating specific functional tasks, individually tailored, progressively challenging training, and simultaneous feedback (auditory and visual)↑↑b
    Preston et al [34], 2016Conventional therapy + botulinum toxin + VR (specifically developed for therapy)—c→d
    Peper et al [35], 2013Conventional therapy (if any) + VR (specifically developed for therapy)Many repetitions of the movements, progressively challenging, and Lissajous feedback→
    Rostami et al [36], 2012mCIMTe + VR (specifically developed for therapy)More intensity, performance of daily life activities, repetitive motor practice, individually tailored, progressively challenging training, and simultaneous feedback (auditory and visual)↑↑
    Kassee et al [29], 2017VR (commercially available)More intensityNo statistical analysis
    Psychouli and Kennedy [37], 2016mCIMT + VR (commercially available)More intensity, performance of daily life activities, repeating specific functional tasks, individually tailored, and augmented motivating feedback↑↑
    Chiu et al [32], 2014Conventional therapy + VR (commercially available)Simultaneous feedback→

    aVR: virtual reality.

    bMore improvement (retained at follow-up) in the experimental group compared with the control group.

    cNot available.

    dNo improvement in the experimental group or no significant difference between the groups (experimental and control groups).

    emCIMT: modified constraint-induced movement therapy.

    Table 3. Motor skill learning principles of experimental interventions and results in balance, trunk control, gross motor functions, and daily life activities.
    StudyExperimental interventionMotor skill learning principles involved in the experimental interventionChanges in balance, trunk control, and gross motor functions and daily life activities
    Decavele et al [30], 2020Conventional therapy + VRa (specifically developed for therapy)Individually tailored, and progressively challenging↑→b
    Pin and Butler [31], 2019Conventional therapy + VR (specifically developed for therapy)Progressively challenging→c

    aVR: virtual reality.

    bMore improvement (not retained at follow-up) in the experimental group compared with the control group.

    cNo improvement in the experimental group or no significant difference between the groups (experimental and control groups).

    The types of VR devices used for the experimental groups in the studies varied considerably. Two studies used Wii training [29,32], and 1 study used the OpenFeasyo software platform (rehabilitation-specific gaming software) using the Kinect sensor and the Nintendo Wii Balance Board [30]. One study used the TYROMOTION force plate, which was specifically designed to assess and treat postural control [31], whereas another study used the RAPAEL Smart Kids [33], which was developed for rehabilitation purposes. Computer games with Lissajous feedback, targeting particularly bimanual coordination [35]; E-Link Evaluation and Exercise System [36]; and a computer game with a joystick [37] were used in the other studies. In one of the studies, the VR device was reported as a computer-assisted arm rehabilitation gaming technology [34]. Overall, most of the devices used in the studies (6/9, 67%) were specifically developed for therapy, whereas one-third (3/9, 33%) of the studies used commercially available VR devices. No safety issues or adverse events associated with VR training were reported.

    The primary focus of VR interventions for most studies (7/9, 78%) was on the upper limb. Only 2 studies included trunk control training [30,31]. Similarly, the outcome measures in the studies included in this review were mainly related to upper limb functions and performance.

    The duration of each VR session varied from 15 to 90 minutes, and the participants performed the VR intervention 2 to 7 times a week. In 1 study, participants’ compliance with the duration of VR interventions could not be fixed, and the mean daily duration of VR sessions was only 7 minutes [34]. As a result, the total amount of VR intervention of the included studies in this review was a minimum of 1 hour 39 minutes and a maximum of 20 hours.

    In general (7/9, 78%), VR as the experimental group was mostly combined with conventional therapy and compared with a control group receiving only conventional therapy [30-36]. In one of these studies, there was >1 experimental group, with one group undergoing VR with conventional therapy (VR group) and the other following VR with modified constraint-induced movement therapy (mCIMT; VR + mCIMT group) [36]. One study applied VR therapy alone in the experimental group [29], whereas in another study, the experimental group participated in functional activities and the computer game while wearing the constraint (VR + mCIMT) [37].

    The included studies had various outcome measures on motor functions and daily life activities at baseline (before intervention), after intervention, and at follow-up, which ranged from 4 to 12 weeks after completion of the interventions.

    Upper Limb Functions

    Overall, 78% (7/9) of the studies included in this review used a variety of outcome measures related to upper limb functions and performance. Furthermore, 3 studies used the Melbourne Assessment of Unilateral Upper Limb Function [29,33,37] and 2 studies used the ABILHAND-Kids questionnaire [29,34]. The Upper Limb Physician’s Rating Scale [33], Pediatrics Motor Activity Log, Speed and Dexterity subtest (subtest 8) of the Bruininks-Oseretsky test of Motor Proficiency [36], Nine-Hole Peg Test, Jebsen-Taylor Hand Function Test, Functional Use Survey [32], Assisting Hand Assessment [35], and Quality of Upper Extremity Skills Test [37] were also used in the studies.

    Regarding the results of upper limb functions and performance, Kassee et al [29] did not conduct statistical analysis to determine group differences for the Melbourne Assessment and the ABILHAND-Kids questionnaire owing to the small sample size (n=3 for each group). Choi et al [33] and Psychouli and Kennedy [37] found a significant improvement in both experimental (VR with conventional therapy and VR with mCIMT, respectively) and control groups (conventional therapy and mCIMT, respectively) in the Melbourne Assessment after the intervention, but the VR groups showed more improvement in both studies. These improvements were retained at follow-up, after 4 or 8 weeks [33,37]. Moreover, Psychouli and Kennedy [37] found further improvement in the VR group in the Quality of Upper Extremity Skills Test after the intervention [37]. Rostamia et al [36] also demonstrated significant improvements in the experimental groups (VR and VR + mCIMT) in the Pediatrics Motor Activity Log and the Bruininks-Oseretsky test of Motor Proficiency but not in the control group (conventional therapy) [36]. The combined group (VR + mCIMT) showed the most significant improvements, which were maintained at the 3-month follow-up assessment [36].

    Neither group improvements nor group differences in the ABILHAND-Kids questionnaire were found by Preston et al [34]. Chiu et al [32] did not find a difference between the experimental and the control group after the intervention or 6 weeks after the interventions in the Nine-Hole Peg Test and the Jebsen-Taylor Hand Function Test [32]. They also assessed elbow and finger coordination, and grip strength. As a result, there was a trend of mean difference for the experimental group to have more grip strength and Functional Use Survey (quantity) score [32]. In Assisting Hand Assessment scores at a group level, no significant improvements were observed by Peper et al [35].

    Balance, Trunk Control, and Gross Motor Functions

    Only 2 studies evaluated balance and trunk control using the Trunk Control Measurement Scale, Pediatric Balance Scale, or Pediatric Reach Test, and they also reported gross motor function results with Gross Motor Function Measure (GMFM; GMFM-66 or GMFM-88) [30,31]. Decavele et al [30] observed more improvement in Trunk Control Measurement Scale, Pediatric Balance Scale, and GMFM-88 after the intervention period (conventional therapy including rehabilitation-specific gaming) compared with the control period (conventional therapy), but the results did not persist after the 12-week follow-up [30]. Pin and Butler [31] found no significant difference in changes in the Pediatric Reach Test and the GMFM-66 between the 2 groups [31].

    Daily Life Activities

    Overall, 3 studies reported outcomes on daily life activities using the Goal Attainment Scale (GAS) [30], Pediatric Evaluation of Disability Inventory Computer Adaptive Test (PEDI-CAT) [33], or Canadian Occupational Performance Measure [34]. Decavele et al [30], in the GAS, and Choi et al [33], in the daily activities domain of the PEDI-CAT, found significant improvements in the VR group compared with the control group after intervention. The improvement in the PEDI-CAT was maintained at the 8-week follow-up [33] but not in the GAS at the 12-week follow-up [30]. Preston et al [34] found no significant differences in the changes on the Canadian Occupational Performance Measure between the 2 groups.

    Methodological Quality

    All studies in this review (7 RCTs and 2 non-RCTs) were included in the methodological quality assessment. The total score of these studies ranged from fair to excellent. Of these 9 studies, 3 (33%) studies were classified as excellent-quality studies [32,34,36], 4 (44%) as good-quality studies [30,31,33,37], and 2 (22%) as fair-quality studies [29,35]. Table 4 presents the 4 main subscales and the total scores of the modified Downs and Black checklist. Scoring of all 27 items for the included studies is provided in Multimedia Appendix 2.

    Table 4. Results of the quality assessment of included studies based on the modified Downs and Black checklist.
    StudyStudy typeQuality of reporting score (out of 11)External validity score (out of 3)Internal validity score (out of 13)Statistical power score (out of 1)Total score (out of 28)
    Choi et al [33], 2021RCTa11011123
    Preston et al [34], 2016RCT11211024
    Peper et al [35], 2013non-RCT608014
    Rostami et al [36], 2012RCT10212024
    Kassee et al [29], 2017RCT608014
    Psychouli and Kennedy [37], 2016non-RCT10010020
    Decavele et al [30], 2020RCT10010121
    Pin and Butler [31], 2019RCT9211022
    Chiu et al [32], 2014RCT10212125

    aRCT: randomized controlled trial.

    Results of Meta-Analysis

    Overview

    We performed meta-analyses with 6 RCTs supplying the essential data and classified them as good- to excellent-quality studies [30-34,36]. The upper limb function results of 4 studies were included in the meta-analysis [32-34,36], whereas results on balance, trunk control, and gross motor functions of only 2 studies were included [30,31]. Similarly, changes in daily life activities were documented in only 3 studies. However, as 1 study did not report the group mean scores separately [34], the results of 2 studies were used in the analysis [30,33]. In general, in all studies included in the meta-analysis, the results used for analyses were the postintervention and follow-up outcomes of the VR group (conventional therapy with VR training) and the control group (conventional therapy). Meta-analyses on follow-up results and subgroup analyses were conducted only for the studies with the outcomes of upper limb functions because there were enough studies (n=4) and results. We did not use any test to assess funnel plot asymmetry (reporting biases) because at least 10 studies included in the meta-analysis were required for meaningful results [38].

    Effects of VR and Intervention of Control Group on the Upper Limb Functions of Children With CP From Short Term to Long Term

    The overall effect size was 0.39 (small effect; 95% CI 0.01-0.76; random effects model) with high heterogeneity (I2=79%). The results showed that after the intervention, overall effect on upper limb functions and performance in children with CP was in favor of the VR group when compared with the control group (P=.04; Figure 2 [32-34,36]).

    ‎
    Figure 2. Forest plot of the postintervention upper limb functions outcomes [32-34,36]. Control group: conventional therapy; IV: inverse variance; VR group: virtual reality with conventional therapy.

    Concerning the medium- to long-term effects of interventions, the overall effect size was 0.37 (small effect; 95% CI −0.02 to 0.77; random effects model) with high heterogeneity (I2=81%). The overall effect showed a trend toward favoring the VR group 6 to 12 weeks after the completion of the interventions (P=.06; Figure 3 [32-34,36]), but the result was not statistically significant.

    ‎
    Figure 3. Forest plot of the follow-up upper limb functions outcomes (from 6 to 12 weeks after completion of the intervention) [32-34,36]. Control group: conventional therapy; IV: inverse variance; VR group: virtual reality with conventional therapy.

    The subgroup analyses of both postintervention and follow-up results of upper limb functions showed that the duration and intensity of VR intervention and VR type were significant factors (P<.01). Studies that included more intensive and higher duration (≥60 min) of VR interventions had larger effects. Moreover, a larger effect was found when VR devices specifically developed for therapy were used compared with commercially available apparatuses. The figures are provided in Multimedia Appendix 3 [32-34,36].

    Effects of VR and Intervention of Control Group on the Balance and Trunk Control of Children With BCP

    The overall effect size was 1.04 (large effect; 95% CI −0.04 to 2.12; random effects model) with high heterogeneity (I2=88%). The postintervention overall effect on balance and trunk control in children with BCP showed a trend toward favoring the VR group compared with the control group (P=.06; Figure 4 [30,31]), but the result was not statistically significant.

    ‎
    Figure 4. Forest plot of the postintervention balance and trunk control outcomes [30,31]. Control group: conventional therapy; IV: inverse variance; VR group: virtual reality with conventional therapy.
    Effects of VR and Intervention of Control Group on the Gross Motor Functions of Children With BCP

    The overall effect size was 2.85 (large effect; 95% CI −2.57 to 8.28; random effects model) with high heterogeneity (I2=98%). The postintervention overall effect on gross motor functions in children with BCP showed a trend toward favoring the VR group compared with the control group (P=.30; Figure 5 [30,31]), but the result was not statistically significant.

    ‎
    Figure 5. Forest plot of the postintervention gross motor functions outcomes [30,31]. Control group: conventional therapy; IV: inverse variance; VR group: virtual reality with conventional therapy.
    Effects of VR and Intervention of Control Group on the Activities of Daily Life of Children With CP

    The overall effect size was 0.29 (small effect; 95% CI −0.16 to 0.74; random effects model) with high heterogeneity (I2=78%). The postintervention overall effect on daily functions of children with CP showed a trend toward favoring the VR group compared with the control group. (P=.21; Figure 6 [30,33]), but the result was not statistically significant.

    ‎
    Figure 6. Forest plot of the postintervention activities of daily life outcomes [30,33]. Control group: conventional therapy; IV: inverse variance; VR group: virtual reality with conventional therapy.

    Principal Findings

    This systematic review and meta-analysis aimed to investigate whether VR-included therapies are effective on motor skill learning in children with CP compared with a control group, with special attention to the middle- and long-term effects. Overall, the results on upper limb function and performance showed the benefits of adding VR to CP rehabilitation in terms of postintervention improvements and supported that these acquisitions were mostly retained at follow-up. The meta-analysis results on upper limb functions and performance confirmed these benefits. In particular, Rostami et al [36] and Psychouli and Kennedy [37] used VR with mCIMT for 4 weeks, and greater improvements have been shown in the upper limb functions after VR with mCIMT compared with conventional therapy or mCIMT alone. Choi et al [33] matched VR with conventional occupational therapy for 4 weeks, and similarly, greater improvements have been shown in the upper limb functions following the intervention including VR compared with conventional occupational therapy alone [33]. In addition, these improvements were maintained at follow-up. It should also be noted that the contents of experimental interventions were shaped with motor skill learning principles (more intensity, the performance of daily living activities, repeating functional tasks, individually tailored, progressively challenging, and motivating feedback) in these 3 studies, which showed greater and long-lasting improvements in the VR groups (Table 2) [33,36,37]). Choi et al [33] and Rostami et al [36] applied these motor skill learning principles in VR game sessions, whereas Psychouli and Kennedy [37] used them mostly in mCIMT sessions and added a computer game as motivating feedback at the end of the intervention. Therefore, we concluded that incorporating motor skill learning principles into interventions including VR, through VR or therapy, induces greater benefits in motor function improvements in the long term. In addition, in the motor skill learning–based, VR-included interventions, VR has a substantially effect on maintaining motivation and eventually ensuring more intensity and repetition of child-initiated active movements during the interventions.

    Furthermore, in line with our results from the subgroup analysis, applying more intensive VR training (involving more total hours in a shorter time, 4 weeks vs 6 weeks) had a significant influence on these larger improvements in the VR group both after the intervention and at follow-up compared with the other studies reporting no significant benefit of adding VR [32,34]. Thus, a higher intensity of VR training with either a longer duration or a higher frequency of training appears to be another essential factor for enhancing motor skill learning through VR. These findings were similar to the results of previous systematic reviews and meta-analyses [16,39-42]. They highlighted some principles of VR use in the neurorehabilitation of children with CP [13]. Rathinam et al [16] and Chen et al [39] also noticed in their reviews that more intensive VR training has more potential to result in improvements of functions in children with CP immediately after the intervention.

    Furthermore, a study included in our review stated that parents were asked to encourage their children to use VR for 30 minutes daily. However, they played the games only for 7 minutes as a mean daily amount because of children’s low interest and motivation for the games in VR games [34]. This may explain why they did not find any improvement after VR-included therapy. In other words, maintaining interest and motivation also helps active participation in gaming in VR therapy and provides the expected therapy duration.

    We also performed a subgroup analysis to determine whether VR types affected the upper limb function improvements. The results demonstrated that VR devices specifically developed for therapy have more potential benefits on the training of upper limb functions in children with CP when compared with the commercially available VR device (Nintendo Wii). In addition, VR devices specifically developed for therapy had a greater potential to make acquisitions persistent in the medium or long term. As explained by Chen et al [39], it seems more feasible to provide individually tailored interventions with active repetition in various contexts by integrating motor skill learning principles into VR devices when they are specifically developed for therapy purposes.

    Concerning the outcomes of balance, trunk control, gross motor functions, and daily life functions induced by therapies combined with VR, we found only 2 studies that met the eligibility criteria of this systematic review and meta-analysis [30,31]. In addition, these 2 studies had different results. Decavele et al [30] found more improvement (though impermanent) after the VR combined period, whereas Pin and Butler [31] observed no significant difference between the groups. Even so, with the postintervention meta-analysis results of 2 good-quality studies, we showed that adding VR into therapy may offer additional benefits on balance and trunk control (SMD=1.04; P=.06) and likely in gross motor functions (SMD=2.85; P=.30) in children with BCP. Our findings were consistent with those of other reviews on balance and gross motor functions after VR interventions [18,43,44]. However, the very limited number of studies and small number of participants (<50) made it difficult to conclude the follow-up effects. Thus, it remains unclear whether there is more potential in VR-included therapy to facilitate long-lasting acquisitions in balance and gross motor functions in children with CP. The fact that both studies [30,31] only included children with BCP with GMFCS III-IV levels may also have affected the results. Further studies are needed to address the long-term effects of VR intervention on balance and gross motor functions in children with different severity of CP. The number of studies with long-term results that included daily functions was also very low (n=3) [30,33,34]. In fact, 2 out of 3 studies noted that changes in daily living activities after therapies with VR were significantly different between groups, with a tendency toward the VR group [30,33]. Similarly, the meta-analysis results were in favor of the VR group (SMD=0.29; P=.21). Considering that there are insufficient results on whether the acquisitions are long lasting, more studies on the daily function outcomes are also needed.

    Limitations

    First, we found a limited number of studies and participants that met our inclusion criteria, especially for medium- and long-term outcomes. Only 7 RCTs and 2 non-RTCs were included in our systematic review, and most of them (7/9, 78%) had a relatively small sample size (<50). In addition, many studies did not report the MACS and GMFCS levels of the included children. The studies that reported the levels also included children with a relatively wide range of functional abilities. For instance, 1 study included children with GMFCS I-II level [29], whereas another study included children with GMFCS III-IV level [30]. As a result, this heterogeneity may have affected the results, but we could not perform a subgroup analysis because of the limited number of studies. Regarding the outcome measures, wide variations were used in the studies, and this heterogeneity of the outcome measures made it difficult to combine and interpret the results. Another limitation of this study is that if a study included in our review used different clinical tests to determine similar outcomes (upper limb functions, balance and trunk control, gross motor functions, and activities of daily living), all results were included in the analysis. Although the outcome measures were different, the intervention process of VR was identical in the same study. In addition, as one of the studies [30] had a crossover design, at the end of the study period, a control group (the group that did not receive VR) did not exist to allow comparison with the follow-up results of the VR group. Therefore, we were unable to conduct a meta-analysis of follow-up outcomes for balance, gross motor functions, and daily life activities, as there was only one study providing follow-up results on these outcomes.

    Conclusions

    This review shows that adding VR into upper limb rehabilitation of children with CP offers additional benefits in motor skill learning and enhances the maintenance of obtained improvements when the VR included training that cooperates with motor skill learning principles, with the inclusion of functional tasks as well as repetitive practice, more intensity, individual adjustment, progressive challenge, and motivation. For these reasons, it appears more appropriate to make use of VR devices specifically developed for therapy. In terms of balance, trunk control, gross motor functions, and daily life activity outcomes, combining VR with therapies can help induce more improvements in children with CP. However, the priority focus of most of the interventions with VR (7/9, 78%) in the included studies, and their outcomes, was upper limb functions. The effect size on motor skill learning of adding balance-focused VR devices into different therapies in children with CP is still not entirely clear; therefore, studies with long-term outcomes are needed.

    Acknowledgments

    SK was funded by the Republic of Turkey, Ministry of National Education, for her PhD program.

    Authors' Contributions

    All the authors contributed to deciding the protocol and PICO (Population, Intervention, Comparison, and Outcome) framework of this study. SK and BS performed the search, study selection, data extraction, and methodological quality assessment. SK performed the meta-analysis and drafted the initial manuscript. BS, RA, and YB critically reviewed and edited the manuscript. All the authors approved the final manuscript.

    Conflicts of Interest

    None declared.

    Multimedia Appendix 1

    Search strategy.

    DOCX File , 13 KB
    Multimedia Appendix 2

    Scoring of all 27 items of the modified Downs and Black checklist for the included studies.

    XLSX File (Microsoft Excel File), 30 KB
    Multimedia Appendix 3

    Subgroup analyses.

    DOCX File , 1003 KB
    Multimedia Appendix 4

    PRISMA 2020 checklist.

    PDF File (Adobe PDF File), 55 KB
    Multimedia Appendix 5

    PRISMA 2020 abstract checklist.

    PDF File (Adobe PDF File), 26 KB
    1. Graham HK, Rosenbaum P, Paneth N, Dan B, Lin JP, Damiano DL, et al. Cerebral palsy. Nat Rev Dis Primers. Jan 07, 2016;2:15082. [FREE Full text] [CrossRef] [Medline]
    2. Krägeloh-Mann I, Cans C. Cerebral palsy update. Brain Dev. Aug 2009;31(7):537-544. [CrossRef] [Medline]
    3. Novak I, Morgan C, Fahey M, Finch-Edmondson M, Galea C, Hines A, et al. State of the evidence traffic lights 2019: systematic review of interventions for preventing and treating children with cerebral palsy. Curr Neurol Neurosci Rep. Feb 21, 2020;20(2):3. [FREE Full text] [CrossRef] [Medline]
    4. Muratori LM, Lamberg EM, Quinn L, Duff SV. Applying principles of motor learning and control to upper extremity rehabilitation. J Hand Ther. Apr 2013;26(2):94-102; quiz 103. [FREE Full text] [CrossRef] [Medline]
    5. Dayan E, Cohen LG. Neuroplasticity subserving motor skill learning. Neuron. Nov 03, 2011;72(3):443-454. [FREE Full text] [CrossRef] [Medline]
    6. Sakzewski L, Gordon A, Eliasson AC. The state of the evidence for intensive upper limb therapy approaches for children with unilateral cerebral palsy. J Child Neurol. Aug 2014;29(8):1077-1090. [CrossRef] [Medline]
    7. Wilson PN, Foreman N, Stanton D. Virtual reality, disability and rehabilitation. Disabil Rehabil. Jun 28, 1997;19(6):213-220. [CrossRef] [Medline]
    8. Weiss P, Kizony R, Feintuch U, Katz N. Virtual reality in neurorehabilitation. In: Selzer M, Clarke S, Cohen L, Duncan P, Gage F, editors. Textbook of Neural Repair and Rehabilitation. Cambridge, UK. Cambridge University Press; 2006.
    9. Weiss PL, Tirosh E, Fehlings D. Role of virtual reality for cerebral palsy management. J Child Neurol. Aug 2014;29(8):1119-1124. [CrossRef] [Medline]
    10. Weiss PL, Rand D, Katz N, Kizony R. Video capture virtual reality as a flexible and effective rehabilitation tool. J Neuroeng Rehabil. Dec 20, 2004;1(1):12. [FREE Full text] [CrossRef] [Medline]
    11. Keshner EA. Virtual reality and physical rehabilitation: a new toy or a new research and rehabilitation tool? J Neuroeng Rehabil. Dec 03, 2004;1(1):8. [FREE Full text] [CrossRef] [Medline]
    12. An CM, Park YH. The effects of semi-immersive virtual reality therapy on standing balance and upright mobility function in individuals with chronic incomplete spinal cord injury: a preliminary study. J Spinal Cord Med. Mar 2018;41(2):223-229. [FREE Full text] [CrossRef] [Medline]
    13. 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;10:1179573518813541. [FREE Full text] [CrossRef] [Medline]
    14. You SH, Jang SH, Kim YH, Kwon YH, Barrow I, Hallett M. Cortical reorganization induced by virtual reality therapy in a child with hemiparetic cerebral palsy. Dev Med Child Neurol. Sep 2005;47(9):628-635. [FREE Full text] [Medline]
    15. Golomb MR, McDonald BC, Warden SJ, Yonkman J, Saykin AJ, Shirley B, et al. In-home virtual reality videogame telerehabilitation in adolescents with hemiplegic cerebral palsy. Arch Phys Med Rehabil. Jan 2010;91(1):1-8.e1. [CrossRef] [Medline]
    16. Rathinam C, Mohan V, Peirson J, Skinner J, Nethaji KS, Kuhn I. Effectiveness of virtual reality in the treatment of hand function in children with cerebral palsy: a systematic review. J Hand Ther. Oct 2019;32(4):426-34.e1. [CrossRef] [Medline]
    17. Ravi DK, Kumar N, Singhi P. Effectiveness of virtual reality rehabilitation for children and adolescents with cerebral palsy: an updated evidence-based systematic review. Physiotherapy. Sep 2017;103(3):245-258. [CrossRef] [Medline]
    18. Warnier N, Lambregts S, Port IV. Effect of virtual reality therapy on balance and walking in children with cerebral palsy: a systematic review. Dev Neurorehabil. Nov 2020;23(8):502-518. [CrossRef] [Medline]
    19. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. Mar 29, 2021;372:n71. [FREE Full text] [CrossRef] [Medline]
    20. Thomas J, Kneale D, McKenzie JE, Brennan SE, Bhaumik S. Chapter 2: Determining the scope of the review and the questions it will address. In: Higgins JP, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, et al, editors. Cochrane Handbook for Systematic Reviews of Interventions version 6.4. London, UK. The Cochrane Collaboration; 2023.
    21. Ouzzani M, Hammady H, Fedorowicz Z, Elmagarmid A. Rayyan-a web and mobile app for systematic reviews. Syst Rev. Dec 05, 2016;5(1):210. [FREE Full text] [CrossRef] [Medline]
    22. Higgins JP, Li T, Deeks JJ. Chapter 6: Choosing effect measures and computing estimates of effect. In: Higgins JP, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, editors. Cochrane Handbook for Systematic Reviews of Interventions version 6.3. London, UK. The Cochrane Collaboration; 2022.
    23. Downs SH, Black N. The feasibility of creating a checklist for the assessment of the methodological quality both of randomised and non-randomised studies of health care interventions. J Epidemiol Community Health. Jun 1998;52(6):377-384. [FREE Full text] [CrossRef] [Medline]
    24. Eng JJ, Teasell R, Miller WC, Wolfe DL, Townson AF, Aubut JA, et al. the SCIRE Research Team. Spinal cord injury rehabilitation evidence: methods of the SCIRE systematic review. Top Spinal Cord Inj Rehabil. 2007;13(1):1-10. [FREE Full text] [CrossRef] [Medline]
    25. Demers M, Fung K, Subramanian SK, Lemay M, Robert MT. Integration of motor learning principles into virtual reality interventions for individuals with cerebral palsy: systematic review. JMIR Serious Games. Apr 07, 2021;9(2):e23822. [FREE Full text] [CrossRef] [Medline]
    26. O'Connor SR, Tully MA, Ryan B, Bradley JM, Baxter GD, McDonough SM. Failure of a numerical quality assessment scale to identify potential risk of bias in a systematic review: a comparison study. BMC Res Notes. Jun 06, 2015;8:224. [FREE Full text] [CrossRef] [Medline]
    27. Subramanian SK, Caramba SM, Hernandez OL, Morgan QT, Cross MK, Hirschhauser CS. Is the Downs and Black scale a better tool to appraise the quality of the studies using virtual rehabilitation for post-stroke upper limb rehabilitation? In: Proceedings of the International Conference on Virtual Rehabilitation (ICVR). Presented at: International Conference on Virtual Rehabilitation (ICVR); July 21-24, 2019, 2019; Tel Aviv, Israel. [CrossRef]
    28. Cohen J. Statistical Power Analysis for the Behavioral Sciences Second Edition. Hillsdale, NJ. Lawrence Erlbaum Associates; 1988.
    29. Kassee C, Hunt C, Holmes MW, Lloyd M. Home-based Nintendo Wii training to improve upper-limb function in children ages 7 to 12 with spastic hemiplegic cerebral palsy. J Pediatr Rehabil Med. May 17, 2017;10(2):145-154. [CrossRef] [Medline]
    30. Decavele S, Ortibus E, van Campenhout A, Molenaers G, Jansen B, Omelina L, et al. The effect of a rehabilitation specific gaming software platform to achieve individual physiotherapy goals in children with severe spastic cerebral palsy: a randomized crossover trial. Games Health J. Jul 02, 2020 (forthcoming). [CrossRef] [Medline]
    31. Pin TW, Butler PB. The effect of interactive computer play on balance and functional abilities in children with moderate cerebral palsy: a pilot randomized study. Clin Rehabil. Apr 2019;33(4):704-710. [CrossRef] [Medline]
    32. Chiu HC, Ada L, Lee HM. Upper limb training using Wii Sports Resort for children with hemiplegic cerebral palsy: a randomized, single-blind trial. Clin Rehabil. Oct 21, 2014;28(10):1015-1024. [CrossRef] [Medline]
    33. Choi JY, Yi SH, Ao L, Tang X, Xu X, Shim D, et al. Virtual reality rehabilitation in children with brain injury: a randomized controlled trial. Dev Med Child Neurol. Apr 2021;63(4):480-487. [FREE Full text] [CrossRef] [Medline]
    34. Preston N, Weightman A, Gallagher J, Levesley M, Mon-Williams M, Clarke M, et al. A pilot single-blind multicentre randomized controlled trial to evaluate the potential benefits of computer-assisted arm rehabilitation gaming technology on the arm function of children with spastic cerebral palsy. Clin Rehabil. Oct 2016;30(10):1004-1015. [FREE Full text] [CrossRef] [Medline]
    35. Peper CL, Van Loon EC, Van de Rijt A, Salverda A, van Kuijk AA. Bimanual training for children with cerebral palsy: exploring the effects of Lissajous-based computer gaming. Dev Neurorehabil. Aug 2013;16(4):255-265. [CrossRef] [Medline]
    36. Rostami HR, Arastoo AA, Nejad SJ, Mahany MK, Malamiri RA, Goharpey S. Effects of modified constraint-induced movement therapy in virtual environment on upper-limb function in children with spastic hemiparetic cerebral palsy: a randomised controlled trial. NeuroRehabilitation. 2012;31(4):357-365. [CrossRef] [Medline]
    37. Psychouli P, Kennedy CR. Modified constraint-induced movement therapy as a home-based intervention for children with cerebral palsy. Pediatr Phys Ther. 2016;28(2):154-160. [CrossRef] [Medline]
    38. Page MJ, Higgins JP, Sterne JA. Chapter 13: Assessing risk of bias due to missing results in a synthesis. In: Higgins JP, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, et al, editors. Cochrane Handbook for Systematic Reviews of Interventions version 6.4. London, UK. The Cochrane Collaboration; 2023.
    39. Chen Y, Fanchiang HD, Howard A. Effectiveness of virtual reality in children with cerebral palsy: a systematic review and meta-analysis of randomized controlled trials. Phys Ther. Jan 01, 2018;98(1):63-77. [FREE Full text] [CrossRef] [Medline]
    40. Fandim JV, Saragiotto BT, Porfírio GJ, Santana RF. Effectiveness of virtual reality in children and young adults with cerebral palsy: a systematic review of randomized controlled trial. Braz J Phys Ther. 2021;25(4):369-386. [FREE Full text] [CrossRef] [Medline]
    41. Chen YP, Lee SY, Howard AM. Effect of virtual reality on upper extremity function in children with cerebral palsy: a meta-analysis. Pediatr Phys Ther. 2014;26(3):289-300. [CrossRef] [Medline]
    42. Johansen T, Strøm V, Simic J, Rike PO. Effectiveness of training with motion-controlled commercial video games on hand and arm function in young people with cerebral palsy: a systematic review and meta-analysis. J Rehabil Med. Dec 03, 2019;52(1):jrm00012. [FREE Full text] [CrossRef] [Medline]
    43. Wu J, Loprinzi PD, Ren Z. The rehabilitative effects of virtual reality games on balance performance among children with cerebral palsy: a meta-analysis of randomized controlled trials. Int J Environ Res Public Health. Oct 28, 2019;16(21):4161. [FREE Full text] [CrossRef] [Medline]
    44. Ren Z, Wu J. The effect of virtual reality games on the gross motor skills of children with cerebral palsy: a meta-analysis of randomized controlled trials. Int J Environ Res Public Health. Oct 14, 2019;16(20):3885. [FREE Full text] [CrossRef] [Medline]

    ‎
    BCP: bilateral cerebral palsy
    CP: cerebral palsy
    GAS: Goal Attainment Scale
    GMFCS: Gross Motor Function Classification System
    GMFM: Gross Motor Function Measure
    MACS: Manual Ability Classification System
    mCIMT: modified constraint-induced movement therapy
    PEDI-CAT: Pediatric Evaluation of Disability Inventory Computer Adaptive Test
    PICO: Population, Intervention, Comparison, and Outcome
    PRISMA: Preferred Reporting Items for Systematic Reviews and Meta-Analyses
    RCT: randomized controlled trial
    SMD: standardized mean difference
    VR: virtual reality

    Edited by G Eysenbach; submitted 20.08.22; peer-reviewed by B Jansen, J Mann; comments to author 14.04.23; revised version received 24.04.23; accepted 18.07.23; published 12.09.23.

    Copyright

    ©Seyma Kilcioglu, Benoît Schiltz, Rodrigo Araneda, Yannick Bleyenheuft. Originally published in JMIR Serious Games (https://games.jmir.org), 12.09.2023.

    This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Serious Games, is properly cited. The complete bibliographic information, a link to the original publication on https://games.jmir.org, as well as this copyright and license information must be included.