What is the impact of robotic rehabilitation on balance and gait outcomes in people with multiple sclerosis? A systematic review of randomized control trials

Effectiveness of Robotic Devices for Medical Rehabilitation: An Umbrella Review

Background/Objectives: Clinical trials have investigated the efficacy of rehabilitation robotics for various pathological conditions, but the overall impact on rehabilitation practice remains unclear. We comprehensively examined and analyzed systematic reviews (SRs) of randomized controlled trials (RCTs) investigating rehabilitative interventions with robotic devices. Methods: Four databases were searched using term combinations of keywords related to robotic devices, rehabilitation, and SRs. The SR meta-analyses were categorized into "convincing", "highly suggestive", "suggestive", "weak", or "non-significant" depending on evidence strength and validity. Results: Overall, 62 SRs of 341 RCTs involving 14,522 participants were identified. Stroke was most frequently reported (40 SRs), followed by spinal cord injury (eight SRs), multiple sclerosis (four SRs), cerebral palsy (four SRs), Parkinson's disease (three SRs), and neurological disease (any disease causing limited upper- and lower-limb functioning; three SRs). Furthermore, 38, 21, and 3 SRs focused on lower-limb devices, upper-limb devices, and both upper- and lower-limb devices, respectively. Quantitative synthesis of robotic intervention effects was performed by 51 of 62 SRs. Robot-assisted training was effective for various outcome measures per disease. Meta-analyses offering suggestive evidence were limited to studies on stroke. Upper-limb devices were effective for motor control and activities of daily living, and lower-limb devices for walking independence in stroke. Conclusions: Robotic devices are useful for improving impairments and disabilities in several diseases. Further high-quality SRs including RCTs with large sample sizes and meta-analyses of these RCTs, particularly on non-stroke-related diseases, are required. Further research should also ascertain which type of robotic device is the most effective for improving each specific impairment or disability.

Effectiveness of robotic rehabilitation for gait and balance in people with multiple sclerosis: a systematic review

This review investigated the effectiveness of robotic-assisted gait training (RAGT) in improving gait and balance performance in adults with multiple sclerosis (MS). Databases and registers were searched from inception to December 2023 to identify randomized controlled trials (RCTs) that analyzed the effects of RAGT on gait speed, function, balance, fatigue, and adverse events. Three reviewers screened studies for eligibility and extracted key information such as participants and intervention characteristics, as well as outcomes of interest. The reviewers assessed the risk of bias of included studies using Cochrane Risk of Bias tool. From the 948 records identified, 8 RCTs were included, involving 335 participants. The studies have demonstrated significant heterogeneity in patient characteristics, intervention protocols, and outcomes measured. The risk of bias assessment revealed concerns, mainly in terms of performance and detection bias. The evidence is uncertain on the effectiveness of RAGT on balance and gait in people with MS, but a multimodal rehabilitation approach, including RAGT, should be encouraged. No serious adverse events seem to be associated with RAGT, suggesting that these interventions are generally safe for use in people with MS. Further studies of higher methodological quality should be led to confirm these positive results.

The agreement between face-to-face and tele-assessment of balance tests in patients with multiple sclerosis

BACKGROUND

To investigate the reliability of balance tests administered using a tele-assessment method in patients with multiple sclerosis (MS).

METHODS

The participants were assessed both online and face-to-face. The assessments were performed synchronously by two physiotherapists. The first method to used to evaluate the participants was determined through randomization. The Berg Balance Scale (BBS), Dynamic Gait Index (DGI), and Timed Up and Go (TUG) were used in the evaluations. Three days were left between the assessment methods. Online platforms were used for tele-assessment. The agreement between and correlation of face-to-face and tele-assessments was analyzed by applying intra-class correlation coefficients (ICC), limits of agreement, and Pearson's correlation coefficient.

RESULTS

This study included 39 individuals with MS with an EDSS score of 3.03 ± 1.41. Intra-rater reliability of the tele-assessment was excellent (ICCBBS = 0.96; ICCDGI = 0.97; ICCTUG = 0.97). Very high correlations were observed in all BBS, DGI, and TUG measurements between face-to-face and tele-assessment methods according to the first and second assessors (rBBS1 = 0.92; rBBS2 = 0.93; rDGI1 = 0.94; rDGI2 = 0.95; rTUG1 = 0.94; rTUG2 = 0.95, respectively). The inter-rater reliability of tele-assessments (ICCBBS = 0.97; ICCDGI = 0.97; ICCTUG = 1.00) achieved excellent reliability.

CONCLUSION

BBS, DGI, and TUG are reliable and agreed tests that can be used with tele-assessments, offering similar data to face-to-face methods.

Effects of non-pharmacological interventions on gait and balance of persons with Multiple Sclerosis: A narrative review

BACKGROUND

Multiple Sclerosis (MS) is among the most common reasons for disability in young adults. Mobility impairment, primarily related to gait and balance, is ranked as the preeminent concern among persons with MS (PwMS). Gait and balance dysfunction can directly affect the quality of life and activities of daily life in PwMS, hence the importance of effective treatment strategies. Previous studies have demonstrated the positive effect of various non-pharmacological rehabilitation methods, including physiotherapy and electrical stimulation, on gait and mobility in PwMS. Non-pharmacological methods can be tailored to the individual needs and abilities of each patient, allowing healthcare providers to create personalized training programs. Furthermore, these methods typically result in minimal or no side effects.

PURPOSE

This review provides a comprehensive overview of an array of non-pharmacological treatment approaches aimed at enhancing ambulatory performance in PwMS.

METHODS

We performed a narrative review of the original papers available in PubMed, investigating the effects of different nonmedical approaches on the gait and balance performance of the PwMS. Reviewed treatment approaches include "exercise, physical rehabilitation, dual-task (DT) rehabilitation, robot-assisted rehabilitation, virtual reality-assisted rehabilitation, game training, electrical stimulation devices, auditory stimulation, visual feedback, and shoe insoles".

RESULTS AND CONCLUSIONS

Eighty articles were meticulously reviewed. Our study highlights the positive effects of non-pharmacological interventions on patients' quality of life, reducing disability, fatigue, and muscle spasticity. While some methods, including exercise and physiotherapy, showed substantial promise, further research is needed to evaluate whether visual biofeedback and auditory stimulation are preferable over conventional approaches. Additionally, approaches such as functional electrical stimulation, non-invasive brain stimulation, and shoe insoles demonstrate substantial short-term benefits, prompting further investigation into their long-term effects. Non-pharmacological interventions can serve as a valuable complement to medication-based approaches.

The Challenges in Conducting Economic Evaluations for Rehabilitation Technologies

Background

Health technology assessment (HTA) is an important evidentiary component in the decision-making process for the adoption of new healthcare technologies to the healthcare system. Economic evidence is an important consideration in HTAs. Recent systematic reviews in rehabilitation have shown a limited number of economic evaluations and high levels of uncertainty in the results. It is unclear whether there are challenges related to the field of rehabilitation and the technologies used in rehabilitation that inhibit the development of economic evidence.

Methods

In this study, economic evaluations in rehabilitation were reviewed. This was followed by a summary of the latest evidence on the challenges of conducting HTA for medical devices and the relationship with rehabilitation technologies. Finally, several considerations are suggested to improve the HTA of technologies that target rehabilitation. A literature review of Google Scholar and PubMed was conducted to identify reviews in economic evaluations in rehabilitation. A recent review on the barriers to HTA of medical devices in general was also examined to identify similar concerns with rehabilitation technologies.

Results

The challenges identified include the lack of high-quality studies, the interaction between the technology and the user, the short product life cycle, and estimation of efficacy in technologies with multiple target populations.

Conclusion

Overall, many of the challenges in evaluating medical devices also apply to rehabilitation interventions. Further research and discussion on these issues are necessary to increase the clinical evidence for rehabilitation technologies, strengthen the development of HTAs, and facilitate the use of technologies to improve the health of individuals requiring rehabilitation.

Rehabilitation Technologies for Chronic Conditions: Will We Sink or Swim?

INTRODUCTION

Chronic conditions such as stroke, Parkinson's disease, spinal cord injury, multiple sclerosis, vestibular disorders, chronic pain, arthritis, diabetes, chronic obstructive pulmonary disease (COPD), and heart disease are leading causes of disability among middle-aged and older adults. While evidence-based treatment can optimize clinical outcomes, few people with chronic conditions engage in the recommended levels of exercise for clinical improvement and successful management of their condition. Rehabilitation technologies that can augment therapeutic care-i.e., exoskeletons, virtual/augmented reality, and remote monitoring-offer the opportunity to bring evidence-based rehabilitation into homes. Successful integration of rehabilitation techniques at home could help recovery and access and foster long term self-management. However, widespread uptake of technology in rehabilitation is still limited, leaving many technologies developed but not adopted.

METHODS

In this narrative review, clinical need, efficacy, and obstacles and suggestions for implementation are discussed. The use of three technologies is reviewed in the management of the most prevalent chronic diseases that utilize rehabilitation services, including common neurological, musculoskeletal, metabolic, pulmonary, and cardiac conditions. The technologies are (i) exoskeletons, (ii) virtual and augmented reality, and (iii) remote monitoring.

RESULTS

Effectiveness evidence backing the use of technology in rehabilitation is growing but remains limited by high heterogeneity, lack of long-term outcomes, and lack of adoption outcomes.

CONCLUSION

While rehabilitation technologies bring opportunities to bridge the gap between clinics and homes, there are many challenges with adoption. Hybrid effectiveness and implementation trials are a possible path to successful technology development and adoption.

Overground Robotic Exoskeleton Training for Patients With Stroke on Walking-Related Outcomes: A Systematic Review and Meta-analysis of Randomized Controlled Trials

OBJECTIVE

This review aims to evaluate the effectiveness of solely overground robotic exoskeleton (RE) training or overground RE training with conventional rehabilitation in improving walking ability, speed, and endurance among patients with stroke.

DATA SOURCES

Nine databases, 5 trial registries, gray literature, specified journals, and reference lists from inception until December 27, 2021.

STUDY SELECTION

Randomized controlled trials adopting overground robotic exoskeleton training for patients with any phases of stroke on walking-related outcomes were included.

DATA EXTRACTION

Two independent reviewers extracted items and performed risk of bias using the Cochrane Risk of Bias tool 1 and certainty of evidence using the Grades of Recommendation Assessment, Development, and Evaluation.

DATA SYNTHESIS

Twenty trials involving 758 participants across 11 countries were included in this review. The overall effect of overground robotic exoskeletons on walking ability at postintervention (d=0.21; 95% confidence interval [CI], 0.01, 0.42; Z=2.02; P=.04) and follow-up (d=0.37; 95% CI, 0.03, 0.71; Z=2.12; P=.03) and walking speed at postintervention (d=0.23; 95% CI, 0.01, 0.46; Z=2.01; P=.04) showed significant improvement compared with conventional rehabilitation. Subgroup analyses suggested that RE training should combine with conventional rehabilitation. A preferable gait training regime is <4 times per week over ≥6 weeks for ≤30 minutes per session among patients with chronic stroke and ambulatory status of independent walkers before training. Meta-regression did not identify any effect of the covariates on the treatment effect. The majority of randomized controlled trials had small sample sizes, and the certainty of the evidence was very low.

CONCLUSION

Overground RE training may have a beneficial effect on walking ability and walking speed to complement conventional rehabilitation. Further large-scale and long-term, high-quality trials are recommended to enhance the quality of overground RE training and confirm its sustainability.

Artificial Intelligence and Multiple Sclerosis: Up-to-Date Review

Multiple sclerosis (MS) remains a challenging neurological disorder for the clinician in terms of diagnosis and management. The growing integration of AI-based algorithms in healthcare offers a golden opportunity for clinicians and patients with MS. AI models are based on statistical analyses of large quantities of data from patients including "demographics, genetics, clinical and radiological presentation." These approaches are promising in the quest for greater diagnostic accuracy, tailored management plans, and better prognostication of disease. The use of AI in multiple sclerosis represents a paradigm shift in disease management. With ongoing advancements in AI technologies and the increasing availability of large-scale datasets, the potential for further innovation is immense. As AI continues to evolve, its integration into clinical practice will play a vital role in improving diagnostics, optimizing treatment strategies, and enhancing patient outcomes for MS. This review is about conducting a literature review to identify relevant studies on AI applications in MS. Only peer-reviewed studies published in the last four years have been selected. Data related to AI techniques, advancements, and implications are extracted. Through data analysis, key themes and tendencies are identified. The review presents a cohesive synthesis of the current state of AI and MS, highlighting potential implications and new advancements.

The effect of robot-assisted gait training for patients with spinal cord injury: a systematic review and meta-analysis

Background

With the aging of the global population, Spinal injuries are often prone to occur and affect human health. The development of technology has put robots on the stage to assist in the treatment of spinal injuries.

Methods

A comprehensive literature search were carried out in multiple databases, including PubMed, Medline (Ovid), Web of Science, Cochrane, Embase, Scopus, CKNI, Wang fang, VIP database, Sino Med, Clinical Trails until 20th, June, 2023 to collect effect of robot-assisted gait training for patients with spinal cord injury patients. Primary outcome includes any changes of gait distance and gait speed. Secondary outcomes include any changes in functions (Such as TUG, Leg strength, 10 MWT) and any advent events. Data were extracted from two independent individuals and Cochrane Risk of Bias tool version 2.0 was assessed for the included studies. Systematic review and meta-analysis were performed by RevMan 5.3 software.

Results

11 studies were included in meta-analysis. The result showed that gait distance [WMD = 16.05, 95% CI (-15.73, 47.83), I2 = 69%], gait speed (RAGT vs. regular treatment) [WMD = 0.01, 95% CI (-0.04, 0.05), I2 = 43%], gait speed (RAGT vs. no intervention) [WMD = 0.07, 95% CI (0.01, 0.12), I2 = 0%], leg strength [WMD = 0.59, 95% CI (-1.22, 2.40), I2 = 29%], TUG [WMD = 9.25, 95% CI (2.76, 15.73), I2 = 74%], 10 MWT [WMD = 0.01, 95% CI (-0.15, 0.16), I2 = 0%], and 6 MWT [WMD = 1.79, 95% CI (-21.32, 24.90), I2 = 0%].

Conclusion

Robot-assisted gait training seems to be helpful for patients with spinal cord to improve TUG. It may not affect gait distance, gait speed, leg strength, 10 MWT, and 6 MWT.

Influence of Transcranial Direct Current Stimulation and Exercise on Physical Capacity and Gait in Multiple Sclerosis: A Cross-Over Pilot Study

Physical capacity provides a link between disease or impairment and limitations in activity; in multiple sclerosis (MS), it is limited and decreased. The aim of this study was to study the effects of exercise and transcranial direct current stimulation (tDCS) on the left dorsolateral prefrontal cortex area in MS patients with fatigue and an impaired gait ability. A cross-over design was carried out on fifteen patients with two disability associations, but three were excluded. Before and after each intervention, the 6 min walk test (6MWT) and the 2 min walk test (2MWT) were used to assess walking ability and the Modified Fatigue Impact Scale (MFIS) was used to assess fatigue. A total of twelve patients were enrolled (48.0 median age, Kurtzke Disability Scale (EDSS) 3.66 ± 1.3): five females and seven males. After the application of the exercise program, significant improvements were observed in the 6MWT (p < 0.001, g = 0.159) and 2MWT (p < 0.001, g = 0.182). Furthermore, fatigue was significantly reduced after the application of the exercise program (p < 0.05, g = 0.742) and after tDCS (p < 0.05, g = 0.525). We could consider therapeutic exercise in the future to improve the walking ability and fatigue in MS patients. Furthermore, tDCS did not exert a significant improvement in walking ability, but it appeared to influence fatigue. Clinical trial registration code: ACTRN12622000264785.

Effect of robot-assisted gait training on quality of life and depression in neurological impairment: A systematic review and meta-analysis

OBJECTIVE

Robot-assisted gait training (RAGT) is often used as a rehabilitation tool for neurological impairments. The purpose of this study is to investigate the effects of rehabilitation with robotic devices on quality of life and depression.

DATA SOURCES

Two electronic databases (MEDLINE and Scopus) were searched for studies from inception up to December 2022.

REVIEW METHODS

Randomized controlled trials (RCTs) and non-RCTs were pooled separately for analyses, studying each one's mental and physical health and depression. Random effect meta-analyses were run using standardized mean difference and 95% confidence interval (CI).

RESULTS

A total of 853 studies were identified from the literature search. 31 studies (17 RCTs and 14 non-RCTs) including 1151 subjects met the inclusion criteria. 31 studies were selected for the systematic review and 27 studies for the meta-analysis. The outcome measure of mental health significantly improved in favor of the RAGT group in RCTs and non-RCTs (adjusted Hedges'g 0.72, 95% CI: 0.34-1.10, adjusted Hedges g = 0.80, 95% CI 0.21-1.39, respectively). We observed a significant effect of RAGT on physical health in RCTs and non-RCTs (adjusted Hedges'g 0.58, 95% CI 0.28, 0.88, adjusted Hedges g = 0.73, 95% CI 0.12, 1.33). After realizing a sensitivity analysis in RCTs, a positive impact on depression is observed (Hedges' g of -0.66, 95% CI -1.08 to -0.24).

CONCLUSION

This study suggests that RAGT could improve the quality of life of patients with neurological impairments. A positive impact on depression is also observed in the short term. Further studies are needed to differentiate grounded and overgrounded exoskeletons as well as RCT comparing overground exoskeletons with a control group.

A review of current rehabilitation practices and their benefits in patients with multiple sclerosis

Multiple sclerosis (MS) is a chronic, debilitating disease characterised by demyelination of the nerves of the central nervous system that results in patients progressively losing the ability to perform daily tasks. As there is no cure for this disease, rehabilitation therapy is an important aspect of care; assisting patients to regain or retain function and improve their physical, mental and social wellbeing. At present there is no current consistent model of care for MS, likely due to the variable symptom presentation. Various forms of rehabilitation therapy are available, and these include physical rehabilitation methods, such as balance and gait therapy, speech and respiration rehabilitation, and occupational therapy. Contrary to previous understanding, exercise-based therapies have shown various benefits for patients with MS, and in addition to improving MS-related physical symptoms, have been shown to reduce the risk of developing cardiovascular disease and can improve cognitive function. Cognition rehabilitation therapy specifically focuses on behavioural tasks and is divided into two main forms: compensatory rehabilitation, which offers cognitive functioning benefits, and restorative rehabilitation, which offers memory benefits. Excitation therapies include cranial stimulation and other stimulation rehabilitation methods such as focal muscle vibration therapy and these non-invasive techniques may improve patient's physical ability. Additionally, more novel rehabilitation methods include robot-assisted gait therapy and telerehabilitation, both of which are expected to play progressively more prominent roles in the future of rehabilitation therapy. The structure of the care team has been found to impact patient outcomes, and both in- and out-patient care settings have been found to be beneficial, dependant on the patient's circumstances, with certain patients better suited to a particular setting. While a single point of care is recommended for patients, a multidisciplinary care team and regular reassessment is recommended to manage changing symptoms and ensure continuity of care. The importance of the critical components of rehabilitation have been identified, and these are of vital importance in achieving beneficial outcomes. These components include the patients' participation in the treatment, goal setting with a multidisciplinary care team, a guiding-light purpose for the patient, which focusses on recognizing their personal potential and obtaining improvements through a tailored plan. The final critical component of rehabilitation is the results measurement, which highlights the need for a quantifiable reduction in impairment and improvement in activity and participation. Overall, a lack of standardisation in outcome measurements makes comparison challenging. This is particularly important when comparing standard methods of care with more novel rehabilitation techniques. However, within the broad area of rehabilitation therapies, it is clear that patients with MS can benefit from rehabilitation practices; physically, mentally and socially.

Mobility and balance rehabilitation in multiple sclerosis: A systematic review and dose-response meta-analysis

OBJECTIVE

To assess the benefits of neurological rehabilitation and the dose-response relationship for the treatment of mobility and balance in multiple sclerosis.

METHODS

We included studies investigating the effects of neurological rehabilitation on mobility and balance with the following eligibility criteria for inclusion: Population, People with Multiple Sclerosis (PwMS); Intervention, method of rehabilitation interventions; Comparison, experimental (specific balance intervention) vs control (no intervention/no specific balance intervention); Outcome, balance clinical scales; Study Design, randomised controlled trials. We conducted a random effects dose-response meta-analysis to assess linear trend estimations and a one stage linear mixed effects meta-regression for estimating dose-response curves.

RESULTS

We retrieved 196 studies from a list of 5020 for full text review and 71 studies (n subjects=3306) were included. One study was a cross-over and 70 studies were randomized controlled trials and the mean sample size per study was 46.5 ± 28.6 (mean±SD) with a mean age of 48.3 ± 7.8years, disease duration of 11.6 ± 6.1years, and EDSS of 4.4 ± 1.4points. Twenty-nine studies (40.8%) had the balance outcome as the primary outcome, while 42 studies (59.1%) had balance as secondary outcome or did not specify primary and secondary outcomes. Thirty-three trials (46.5%) had no active intervention as comparator and 38 trials (53.5%) had an active control group. Individual level data from 20 studies (n subjects=1016) were analyzed showing a medium pooled effect size for balance interventions (SMD=0.41; 95% CIs 0.22 to 0.59). Moreover, we analyzed 14 studies (n subjects=696) having balance as primary outcome and BBS as primary endpoint yielding a mean difference of 3.58 points (95% CIs 1.79 to 5.38, p<0.0001). Finally, we performed meta regression of the 20 studies showing an association between better outcome, log of intensity defined as minutes per session (β=1.26; SEβ=0.51; p = 0.02) and task-oriented intervention (β=0.38; SEβ=0.17; p = 0.05).

CONCLUSION

Our analyses provide level 1 evidence on the effect of balance intervention to improve mobility. Furthermore, according to principles of neurological rehabilitation, high intensity and task-specific interventions are associated with better treatment outcomes.

Biopsychosocial effects and experience of use of robotic and virtual reality devices in neuromotor rehabilitation: A study protocol

BACKGROUND

Robot-assisted therapy (RAT) and virtual reality (VR)-based neuromotor rehabilitation have shown promising evidence in terms of patient's neuromotor recovery, so far. However, still little is known on the perceived experience of use of robotic and VR devices and the related psychosocial impact. The present study outlines a study protocol aiming to investigate the biopsychosocial effects and the experience of use of robotic and non-immersive VR devices in patients undergoing neuromotor rehabilitation.

METHODS

Adopting a prospective, two-arm, non-randomized study design, patients with different neuromotor diseases (i.e., acquired brain injury, Parkinson's Disease, and total knee/hip arthroplasty) undergoing rehabilitation will be included. In a real-world clinical setting, short- (4 weeks) and long-term (6 months) changes in multiple patient's health domains will be investigated, including the functional status (i.e., motor functioning, ADLs, risk of falls), cognitive functioning (i.e., attention and executive functions), physical and mental health-related quality of life (HRQoL), and the psychological status (i.e., anxiety and depression, quality of life satisfaction). At post-intervention, the overall rehabilitation experience, the psychosocial impact of the robotic and VR devices will be assessed, and technology perceived usability and experience of use will be evaluated through a mixed-methods approach, including both patients' and physiotherapists' perspectives. Repeated measures within-between interaction effects will be estimated, and association analyses will be performed to explore the inter-relationships among the variables investigated. Data collection is currently ongoing.

IMPLICATIONS

The biopsychosocial framework adopted will contribute to expanding the perspective on patient's recovery within the technology-based rehabilitation field beyond motor improvement. Moreover, the investigation of devices experience of use and usability will provide further insight into technology deployment in neuromotor rehabilitation programs, thereby maximising therapy engagement and effectiveness.

TRIAL REGISTRATION

ClinicalTrials.gov ID: NCT05399043.

Reference theories and future perspectives on robot-assisted rehabilitation in people with neurological conditions: A scoping review and recommendations from the Italian Consensus Conference on Robotics in Neurorehabilitation (CICERONE)

BACKGROUND

Robot-based treatments are developing in neurorehabilitation settings. Recently, the Italian National Health Systems recognized robot-based rehabilitation as a refundable service. Thus, the Italian neurorehabilitation community promoted a national consensus on this topic.

OBJECTIVE

To conceptualize undisclosed perspectives for research and applications of robotics for neurorehabilitation, based on a qualitative synthesis of reference theoretical models.

METHODS

A scoping review was carried out based on a specific question from the consensus Jury. A foreground search strategy was developed on theoretical models (context) of robot-based rehabilitation (exposure), in neurological patients (population). PubMed and EMBASE® databases were searched and studies on theoretical models of motor control, neurobiology of recovery, human-robot interaction and economic sustainability were included, while experimental studies not aimed to investigate theoretical frameworks, or considering prosthetics, were excluded.

RESULTS

Overall, 3699 records were screened and finally 9 papers included according to inclusion and exclusion criteria. According to the population investigated, structured information on theoretical models and indications for future research was summarized in a synoptic table.

CONCLUSION

The main indication from the Italian consensus on robotics in neurorehabilitation is the priority to design research studies aimed to investigate the role of robotic and electromechanical devices in promoting neuroplasticity.

Efficacy of Virtual Reality and Exergaming in Improving Balance in Patients With Multiple Sclerosis: A Systematic Review and Meta-Analysis

Multiple sclerosis (MS) is one of the most common causes of neurological progressive disease and can lead to loss of mobility, walk impairment, and balance disturbance. Among several rehabilitative approaches proposed, exergaming and virtual reality (VR) have been studied in the recent years. Active video game therapy could reduce the boredom of the rehabilitation process, increasing patient motivation, providing direct feedback, and enabling dual-task training. Aim of this systematic review was to assess the efficacy of exergaming and VR for balance recovery in patients with MS. PubMed, Scopus, and Web of Science were systematically searched from the inception until May 14, 2021 to identify randomized controlled trials (RCTs) presenting: patients with MS as participants, exergaming and VR as intervention, conventional rehabilitation as comparator, and balance assessment [Berg Balance Scale (BBS)] as outcome measure. We also performed a meta-analysis of the mean difference in the BBS via the random-effects method. Out of 93 records, this systematic review included and analyzed 7 RCTs, involving a total of 209 patients affected by MS, of which 97 patients performed exergaming or VR and 112 patients underwent conventional rehabilitation. The meta-analysis reported a significant overall ES of 4.25 (p < 0.0001), showing in the subgroup analysis a non-significant ES of 1.85 (p = 0.39) for the VR and a significant ES of 4.49 (p < 0.0001) for the exergames in terms of the BBS improvement. Taken together, these findings suggested that balance rehabilitation using exergames appears to be more effective than conventional rehabilitation in patients affected by MS.

What does evidence tell us about the use of gait robotic devices in patients with multiple sclerosis? A comprehensive systematic review on functional outcomes and clinical recommendations

INTRODUCTION

There is growing evidence on the efficacy of gait robotic rehabilitation in patients with multiple sclerosis (MS), but most of the studies have focused on gait parameters. Moreover, clear indications on the clinical use of robotics still lack. As part of the CICERONE Italian Consensus on Robotic Rehabilitation, the aim of this systematic review was to investigate the existing evidence concerning the role of lower limb robotic rehabilitation in improving functional recovery in patients with MS.

EVIDENCE ACQUISITION

We searched for and systematically reviewed evidence-based studies on gait robotic rehabilitation in MS, between January 1^st, 2010 and December 31^st, 2020, in the following databases: Cochrane Library, PEDro, PubMed and Google Scholar. The study quality was assessed by the 16-item assessment of multiple systematic reviews 2 (AMSTAR 2) and the 10-item PEDro scale for the other research studies.

EVIDENCE SYNTHESIS

After an accurate screening, only 17 papers were included in the review, and most of them (13 RCT) had a level II evidence. Most of the studies used the Lokomat as a grounded robotic device, two investigated the efficacy of end-effectors and two powered exoskeletons. Generally speaking, robotic treatment has beneficial effects on gait speed, endurance and balance with comparable outcomes to those of conventional treatments. However, in more severe patients (EDSS >6), robotics leads to better functional outcomes. Notably, after gait training with robotics (especially when coupled to virtual reality) MS patients also reach better non-motor outcomes, including spasticity, fatigue, pain, psychological well-being and quality of life. Unfortunately, no clinical indications emerge on the treatment protocols.

CONCLUSIONS

The present comprehensive systematic review highlights the potential beneficial role on functional outcomes of the lower limb robotic devices in people with MS. Future studies are warranted to evaluate the role of robotics not only for walking and balance outcomes, but also for other gait-training-related benefits, to identify appropriate outcome measures related to a specific subgroup of MS subjects' disease severity.

Effectiveness of Virtual Reality Rehabilitation in Persons with Multiple Sclerosis: A Systematic Review and Meta-analysis of Randomized Controlled Trials

BACKGROUND

Multiple Sclerosis (MS) is a chronic disease with physical, cognitive, and psychosocial impairments. Virtual Reality (VR) has been used as an innovative tool in neurological rehabilitation. There are promising new studies that have used commercial video games consoles for the rehabilitation of people with MS.

OBJECTIVES

The aim of this systematic review is to summarize the effectiveness of using VR on functional mobility, fatigue, quality of life and balance in people with MS, compared with conventional exercises or no intervention.

METHODS

Six databases (Scielo, Lilacs, Pubmed, Cochrane library, Embase and PEDro) were searched using some of following terms: "Virtual reality" AND "Multiple sclerosis" AND " randomized controlled trial". Two reviewers performed the search, selection, and extraction of data from the studies. The methodological quality of the articles was assessed using the PEDro scale and the risk of bias was independently assessed by two reviewers using the Cochrane Collaboration Risk of Bias tool. Mean differences and confidence intervals were combined and calculated in meta-analysis.

RESULTS

Nine randomized clinical trials were included, with a total sample of 424 participants. In general, functional mobility presented similar improvement between groups, while for fatigue, quality of life and balance, VR promoted improvement equal to or greater than the conventional exercises. The meta-analysis confirmed that for functional mobility, VR does not promote significant improvement, while for fatigue, quality of life and balance, VR promotes superior improvement.

CONCLUSION

This systematic review demonstrated a positive effect of using VR in people with MS in relation to fatigue, quality of life and balance, compared to the conventional exercises. For functional mobility, VR associated or not with conventional exercises does not seem to bring additional benefits. Larger and methodologically robust studies are need.

OTHER

There was no funding for this systematic review. PROSPERO Registration Number CRD42021226471.

Motor Cortical Activation Assessment in Progressive Multiple Sclerosis Patients Enrolled in Gait Rehabilitation: A Secondary Analysis of the RAGTIME Trial Assisted by Functional Near-Infrared Spectroscopy

This study aimed to determine cortical activation responses to two different rehabilitative programs, as measured through functional near-infrared spectroscopy (fNIRS). As a secondary analysis of the RAGTIME trial, we studied 24 patients with progressive multiple sclerosis (MS) and severe disability who were randomized to a regimen of robot-assisted gait training (RAGT) or overground walking (OW). Cortical activation during a treadmill walking task, assessed through fNIRS recordings from the motor and premotor cortexes (M1/PM), was calculated as the area under the curve (AUC) of oxyhemoglobin for each hemisphere and the total area (Tot-Oxy_AUC). Gait speed, endurance, and balance were also measured, along with five healthy control subjects. At baseline, Tot-Oxy_AUC during walking was significantly increased in MS patients compared to healthy people and was significantly higher for those with more severe disabilities; it was also inversely correlated with physical performance. After rehabilitation, significant opposite variations in Tot-Oxy_AUC were observed, with activity levels being increased after OW and decreased after RAGT (+242,080 ± 361,902 and −157,031 ± 172,496 arbitrary units, respectively; p = 0.002), particularly in patients who were trained at a lower speed. Greater reductions in the cortical activation of the more affected hemisphere were significantly related to improvements in gait speed (r = −0.42) and endurance (r = −0.44). Cortical activation, assessed through fNIRS, highlighted the brain activity in response to the type and intensity of rehabilitation.