Neurorehabilitation and neural repair最新文献

{"title":"Psychometric Properties of the Wolf Motor Function Test (WMFT) and Its Modified Versions: A Systematic Review With Meta-Analysis.","authors":"Lorena Sabrina Pometti, Daniele Piscitelli, Alessandro Ugolini, Francesco Ferrarello, Francesco Notturni, Andrea Coppari, Serena Caselli, Fabio La Porta, Mindy F Levin, Leonardo Pellicciari","doi":"10.1177/15459683251327568","DOIUrl":"https://doi.org/10.1177/15459683251327568","url":null,"abstract":"<p><p>BackgroundThe Wolf Motor Function Test (WMFT) and its modified versions are widely used to assess upper limb (UL) function in stroke survivors. However, comprehensive evaluations of its psychometric properties are lacking.ObjectiveTo perform a systematic review with meta-analysis on the psychometric properties (following the COnsensus-based Standards for the selection of health Measurement INstruments [COSMIN] taxonomy) of the WMFT and modified versions in stroke survivors.MethodsSix databases were searched until May 2024 for studies examining at least one WMFT measurement property in stroke patients. Two independent reviewers conducted study selection, data extraction, and quality assessment using the COSMIN Risk of Bias checklist and quality of evidence (QoE) with the Grading of Recommendations Assessment, Development, and Evaluation approach. Meta-analyses synthesized psychometric properties reported in at least two studies.ResultsTwenty-five studies (N = 2044) were included. Regarding the WMFT Functional Ability Scale (FAS) and TIME scales, internal consistency (alpha ≥ .88), intra-rater (intraclass correlation coefficient [ICC] ≥ .97) and inter-rater (ICC ≥ .92) reliability, measurement error for TIME, construct validity (strong correlations [<i>r</i> ≥| .64|] with Fugl-Meyer Assessment and Action Research Arm Test), and responsiveness (ES ≥ 0.48) were rated sufficiently with QoE from very low to high. Measurement error for FAS was assessed as inconsistent with moderate QoE, and cross-cultural validity was rated as indeterminate with very low QoE. Content validity was not assessed. Few studies investigated the psychometric properties of the modified versions.ConclusionsWMFT demonstrates robust psychometric properties in assessing UL function in stroke survivors. While the WMFT-modified versions showed promising properties, further research is needed to use them. Future studies should focus on WMFT measurement error, content, and cross-cultural validity.Trial Review Registration:PROSPERO: CRD42021237425.</p>","PeriodicalId":94158,"journal":{"name":"Neurorehabilitation and neural repair","volume":" ","pages":"15459683251327568"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143766241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prism Adaptation Treatment May Reduce In-Hospital Falls Among Individuals With Spatial Neglect After Stroke.","authors":"Peii Chen, Natalia Noce, Emily DeBel, Jayme O'Connor, John DeLuca","doi":"10.1177/15459683251327569","DOIUrl":"https://doi.org/10.1177/15459683251327569","url":null,"abstract":"<p><p>BackgroundSpatial neglect (SN) is a risk factor of in-hospital falls among stroke survivors. Our prior study showed that receiving more sessions of prism adaptation treatment (PAT) in inpatient rehabilitation facilities (IRFs) predicted greater SN reduction and functional improvement.ObjectiveTo identify circumstances of falls specific to SN and explore whether increasing PAT sessions may reduce fall incidence.MethodsThe present study was a retrospective analysis of fall-related documentation, clinical data and notes regarding SN assessment, and treatment as part of standard care. Records of 3020 patients admitted to an IRF after stroke were reviewed, and 1489 (49%) had SN based on the Catherine Bergego Scale (CBS).ResultsA total of 276 patients (9% of all patients) fell at least once during their IRF stay, and 173 fallers (67% of all fallers) had SN. SN increased fall incidence (incident rate ratio [IRR] = 1.44, <i>P</i> = .005) after controlling for 5 covariates including age, sex, cognitive and motor functional level at admission, and length of stay. While independent of type or cause of falls, SN was associated with location of falls-SN increased fall incidence in hospital rooms (IRR = 1.55, <i>P</i> = .024), after controlling for the 5 covariates. 62 (36%) of fallers with SN received a median of 4.5 PAT sessions (range = 1-11; interquartile range = 2-10). Increased PAT sessions were associated with fewer falls after PAT (IRR = 0.82, <i>P</i> = .022), controlling for the 5 covariates and 2 additional factors including CBS and number of falls before PAT.ConclusionsTreatment for SN such as PAT should be considered to reduce the risk of falls in these patients. Future research is needed to determine fall prevention measures for stroke survivors with SN, especially in their hospital rooms.</p>","PeriodicalId":94158,"journal":{"name":"Neurorehabilitation and neural repair","volume":" ","pages":"15459683251327569"},"PeriodicalIF":0.0,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143702461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MEP Status is Not Predictive of Response to Upper Limb Training in People With Chronic, Moderate-Severe Hemiparesis Post-Stroke.","authors":"Erin C King, Michael Trevarrow, Sebastian Urday, Jacob M Schauer, Daniel M Corcos, Mary Ellen Stoykov","doi":"10.1177/15459683251327582","DOIUrl":"https://doi.org/10.1177/15459683251327582","url":null,"abstract":"<p><p>BackgroundThe presence or absence of a motor evoked potential (MEP) in the post-stroke hemiparetic limb has been recommended by rehabilitation experts as a predictive biomarker which is ready for use in clinical trials. However, evidence remains limited for its prognostic value in the chronic stage.Objective:Determine if MEP status (MEP+ or MEP-) obtained within 1 week of starting treatment (baseline) predicts the magnitude of response to intervention in individuals with chronic, moderate-severe hemiparesis.MethodsThis is a retrospective analysis using data from a single-blind randomized controlled trial. Seventy-six individuals ≥6 months post-stroke with a baseline Fugl-Meyer Assessment of the Upper Extremity (FMUE) score of 23 to 40 underwent 30 hours of upper limb (UL) training over 6 weeks. Participants were stratified by baseline MEP status. The primary endpoint was change in FMUE score from baseline to post-test.ResultsSeventy-three participants provided FMUE scores and MEP status at baseline. Individuals who were MEP+ (n = 49) demonstrated a mean FMUE change score of 5.09 (standard deviation [SD] = 3.8) while MEP- (n = 24) individuals demonstrated a mean change score of 5.04 (SD = 4.0). There were no significant differences between the groups (mean difference = 0.05, <i>P</i> = .96, 95% confidence interval [-1.99, 2.09]).ConclusionsOur results demonstrate that MEP status at the start of an intervention in the chronic stage does not predict recovery for people with moderate-severe UL impairments. This finding directly challenges recent expert recommendations to stratify trial groups by MEP status, suggesting that such stratification may not effectively reduce variability or predict treatment response at the chronic stage.Clinical Trial Registration:ClinicalTrials.gov, ID: NCT03517657.</p>","PeriodicalId":94158,"journal":{"name":"Neurorehabilitation and neural repair","volume":" ","pages":"15459683251327582"},"PeriodicalIF":0.0,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143702457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine Learning-Based Model for Prediction of Early Post-Stroke Fatigue in Patients With Stroke: A Longitudinal Study.","authors":"Yu Wu, Depeng Zhou, Lovel Fornah, Jian Liu, Jun Zhao, Shicai Wu","doi":"10.1177/15459683251329893","DOIUrl":"https://doi.org/10.1177/15459683251329893","url":null,"abstract":"<p><p>BackgroundPost-stroke fatigue, as one of the long-lasting physical and mental symptoms accompanying stroke survivors, will seriously affect the daily living ability and quality of life of stroke patients.ObjectiveThe aim of this study was to develop machine learning (ML) algorithms to predict early post-stroke fatigue among patients with stroke.MethodsA longitudinal study of 702 patients with stroke followed for 3 months. Twenty-three clinical features were obtained from medical records and questionnaires before discharge. Early post-stroke fatigue was assessed using the Fatigue Severity Scale. The dataset was randomly divided into a training group (70%) and an internal validation group (30%), applied oversampling, 10-fold cross-validation, and grid search to optimize the hyperparameter. Feature selection using the Least Absolute Shrinkage and Selection Operator (LASSO) regression. Sixteen ML algorithms were performed to predict early post-stroke fatigue in this study. Accuracy, precision, recall, <i>F</i>1 score, area under the receiver operating characteristic curve (AUC), and brier score were used to evaluate the models performance.ResultsAmong the 16 ML algorithms, the Bagging model was the optimal model for predicting early post-stroke fatigue in patients with stroke (AUC = 0.8479, accuracy = 0.7518, precision = 0.5741, recall = 0.7209, <i>F</i>1 score = 0.6392, brier score = 0.1490). The feature selection based on LASSO revealed that risk factors for early post-stroke fatigue in patients with stroke included anxiety, sleep, social support, family care, pain, depression, neural-functional defect, quit/no drinking, balance function, type of stroke, sex, heart disease, smoking, and hemiplegia.ConclusionsIn this study, the Bagging model proved to be effective in predicting early post-stroke fatigue.</p>","PeriodicalId":94158,"journal":{"name":"Neurorehabilitation and neural repair","volume":" ","pages":"15459683251329893"},"PeriodicalIF":0.0,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143694991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cortical Activation During Split-Belt Treadmill Walking in People With Parkinson's Disease and Healthy Controls.","authors":"Femke Hulzinga, Paulo Henrique Silva Pelicioni, Nicholas D'Cruz, Veerle de Rond, Christopher McCrum, Pieter Ginis, Moran Gilat, Alice Nieuwboer","doi":"10.1177/15459683251329882","DOIUrl":"https://doi.org/10.1177/15459683251329882","url":null,"abstract":"<p><p>BackgroundPeople with Parkinson's disease (PwPD) have difficulty adapting their gait to asymmetrical conditions. <i>Objective.</i> We investigated cortical activity between 42 PwPD (HY 2-3) and 42 healthy controls using functional near-infrared spectroscopy during tied-belt (TB) and split-belt (SB) treadmill walking.MethodsOxygenated hemoglobin (HbO2) was measured in the prefrontal cortex, supplementary motor area (SMA), premotor cortex (PMC), and posterior parietal cortex (PPC) during 3 blocks of treadmill walking: (1) with the belts moving at the same speed (TB) and (2) when the speed of 1 side was reduced by 50% (SB; 2 blocks). The ability to adjust gait to asymmetric conditions was quantified by step length asymmetry and its variability.ResultsAdaptive gait was worse during the last 5 steps of SB versus TB in PwPD compared to controls. PwPD showed higher HbO2 in the PMC (<i>P</i> = .005) and PPC (<i>P</i> = .004) relative to controls, regardless of condition. However, an increase in HbO2 in the SMA during SB was shown relative to TB in PwPD, a change not observed in controls (group × condition interaction <i>P</i> = .048; pairwise post hoc <i>P</i> = .032). Interestingly, increased PPC activity in PwPD was associated with poorer adapted gait.ConclusionsBoth regular and adaptive gait required enhanced cortical processing in PwPD, as evidenced by the increased activation in the PMC and PPC. However, this heightened cortical activity did not correlate with a reduction in gait asymmetry, suggesting that these changes might be maladaptive. Instead, the elevated cortical activity may reflect the challenges PwPD face in adapting to asymmetrical walking conditions. Careful interpretation is warranted given the relatively small sample of mildly affected PwPD, limiting generalizability to the broader population and the measurement errors inherent to functional near-infrared spectroscopy .</p>","PeriodicalId":94158,"journal":{"name":"Neurorehabilitation and neural repair","volume":" ","pages":"15459683251329882"},"PeriodicalIF":0.0,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143702451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Randomized Control Trial of a Virtually Delivered Program for Increasing Upper Limb Activity After Stroke.","authors":"Lisa A Simpson, Ruth Barclay, Mark T Bayley, Penelope M A Brasher, Sean P Dukelow, Bradley J MacIntosh, Marilyn MacKay-Lyons, Carlo Menon, W Ben Mortenson, Tzu-Hsuan Peng, Courtney L Pollock, Sepideh Pooyania, Noah D Silverberg, Robert Teasell, Jennifer Yao, Janice J Eng","doi":"10.1177/15459683241303702","DOIUrl":"10.1177/15459683241303702","url":null,"abstract":"<p><p>BackgroundUpper limb activity following stroke is low, which may limit recovery. We investigated whether a virtually-delivered upper limb program, that included a wearable device with reach-to-grasp feedback, would increase upper limb activity after stroke.MethodsThis was a parallel-group, assessor-blinded, randomized control trial conducted at 6 sites across 5 provinces of the CanStroke Recovery Trials Platform between 2020 to 2022. Participants (n = 73) were community-living, less than 1 year post stroke, and had residual arm movement and upper limb use limitations. Participants were randomized via a central web-based randomization service to receive a virtually delivered program (Virtual Arm Boot Camp [V-ABC], n = 36) or waitlist control (n = 37) receiving usual care. V-ABC consisted of a home exercise program, feedback from a wrist-worn device to monitor reach-to-grasp counts, and 6 virtual sessions with a trained therapist over 3 weeks. The primary outcome was the average daily reach-to-grasp counts over 3 days at 4 weeks post baseline assessment. Secondary outcomes included upper limb function, self-reported use, and quality of life. Within-subject changes between pre, post treatment, and 2 months follow up for all participants were also examined as a tertiary analysis.ResultsThe V-ABC group demonstrated greater average daily reach-to-grasp counts (primary outcome) at 4 weeks compared to control (mean difference = 368, 95% confidence interval = 6-730, <i>P</i> = .046).ConclusionsThis study provided evidence that a virtually delivered upper limb program that consists of exercise, feedback from a wearable device, and therapist support can increase real-world upper limb activity following stroke.Clinical Trial Registration:NCT04232163.</p>","PeriodicalId":94158,"journal":{"name":"Neurorehabilitation and neural repair","volume":" ","pages":"179-189"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11921204/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142901330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Poststroke Ipsilesional Motor Performance: Microstructural Biomarkers and Their Associations With Executive Function.","authors":"Youngkook Kim, So Yeon Jun, Jeehae Oh, Jaeun Koo, Eunji Lee","doi":"10.1177/15459683241309580","DOIUrl":"10.1177/15459683241309580","url":null,"abstract":"<p><p>BackgroundUnilateral hemispheric stroke can impair the ipsilesional motor performance, which is crucial for attaining optimal functional outcomes poststroke. However, the specific brain structures contributing to ipsilesional motor performance impairment remain unclear.ObjectiveTo explore the link between ipsilesional motor performance and the microstructural integrity of relevant neural pathways.MethodsThis study enrolled 60 consecutive patients in the early subacute phase of stroke recovery. Ipsilesional motor performance was assessed using the Box and Block Test. Multiple linear regression was used to evaluate the associations between ipsilesional motor performance and the microstructural integrity of relevant white matter tracts (Biomarker models) and cognitive function test scores (Cognition models).ResultsBiomarker models, including the genu of the corpus callosum, ipsilesional cingulum, fornix, uncinate fasciculus, superior longitudinal fasciculus, and contralesional inferior longitudinal fasciculus, showed a significant association with ipsilesional motor performance. Cognition models, including Mini-Mental State Examination and Trail Making Test-B, were significantly associated with ipsilesional motor performance. Final regression models (combined Cognition and Biomarker models) revealed that the performance time of Trail Making Test-B, in combination with biomarkers, including the genu of the corpus callosum, ipsilesional superior longitudinal fasciculus, and ipsilesional cingulum, predicted ipsilesional motor performance with high explanatory power (<i>adjusted R</i>² = .721, .709, and .696, respectively).ConclusionsThis study demonstrated that executive function is associated with poststroke ipsilesional motor performance, as evidenced by the microstructural biomarkers involved in executive function. Our findings highlight that the comprehensive role of cognitive functioning rather than the motor system is closely linked to poststroke ipsilesional motor performance.</p>","PeriodicalId":94158,"journal":{"name":"Neurorehabilitation and neural repair","volume":" ","pages":"202-212"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142916795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Detrimental Effect of Stroke on Motor Adaptation.","authors":"Sabrina J Abram, Jonathan S Tsay, Heran Yosef, Darcy S Reisman, Hyosub E Kim","doi":"10.1177/15459683241309588","DOIUrl":"10.1177/15459683241309588","url":null,"abstract":"<p><p>BackgroundWhile it is evident that stroke impairs motor control, it remains unclear whether stroke impacts motor adaptation-the ability to flexibly modify movements in response to changes in the body and the environment. The mixed results in the literature may be due to differences in participants' brain lesions, sensorimotor tasks, or a combination of both.ObjectiveWe first sought to better understand the overall impact of stroke on motor adaptation and then to delineate the impact of lesion hemisphere and sensorimotor task on adaptation poststroke.MethodsFollowing the Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines, we conducted a systematic review and meta-analysis of 18 studies comparing individuals poststroke to neurotypical controls, with each group consisting of over 200 participants.ResultsWe found that stroke impairs motor adaptation (<i>d</i> = -0.63; 95% confidence interval [-1.02, -0.24]), and that the extent of this impairment did not differ across sensorimotor tasks but may vary with the lesioned hemisphere. Specifically, we observed greater evidence for impaired adaptation in individuals with left hemisphere lesions compared to those with right hemisphere lesions.ConclusionsThis review not only clarifies the detrimental effect of stroke on motor adaptation but also underscores the need for finer-grained studies to determine precisely how various sensorimotor learning mechanisms are impacted. The current findings may guide future mechanistic and applied research at the intersection of motor learning and neurorehabilitation.</p>","PeriodicalId":94158,"journal":{"name":"Neurorehabilitation and neural repair","volume":" ","pages":"213-225"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11921215/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142923501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using a Functional Upper Limb Motor Task to Predict Cognitive and Functional Decline in Mild Cognitive Impairment and Alzheimer's Disease.","authors":"Vincent Koppelmans, Kevin Duff, Sydney Y Schaefer","doi":"10.1177/15459683241309591","DOIUrl":"10.1177/15459683241309591","url":null,"abstract":"<p><strong>Background: </strong>Predicting the rate of cognitive and functional decline over the course of Mild Cognitive Impairment (MCI) and Alzheimer's disease (AD) is vital for advancing clinical care and research initiatives.</p><p><strong>Objectives: </strong>The current study examined if a functional upper limb motor task could predict 1-year change in cognition (Mini Mental Status Examination [MMSE]) and daily function (Quick Dementia Rating System [QDRS]) from a sample of 61 cognitively intact, 35 MCI, and 32 AD subjects.</p><p><strong>Results: </strong>Analyses adjusted for age, sex, and education showed that performance speed and variability on the motor task significantly predicted change in performance on the MMSE and QDRS over 1 year, and that these effects were small to medium in size (η² = 0.04-0.05).</p><p><strong>Conclusion: </strong>These results suggest the potential of a simple motor task to estimate disease progression in MCI and AD, which could be used to provide additional clinical resources for and enrich clinical trials with those most likely to decline.</p>","PeriodicalId":94158,"journal":{"name":"Neurorehabilitation and neural repair","volume":" ","pages":"226-229"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11922660/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143525673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MetaRehabVerse: The Great Opportunity to Put the Person's Functioning and Participation at the Center of Healthcare.","authors":"Giovanni Morone, Irene Ciancarelli, Rocco Salvatore Calabrò, Antonio Cerasa, Marco Iosa, Francesca Gimigliano","doi":"10.1177/15459683241309587","DOIUrl":"10.1177/15459683241309587","url":null,"abstract":"<p><strong>Background and objective: </strong>The metaverse refers to a digital realm accessible via internet connections using virtual reality and augmented reality glasses for promoting a new era of social rehabilitation. It represents the next-generation mobile computing platform expected to see widespread utilization in the future. In the context of rehabilitation, the metaverse is envisioned as a novel approach to enhance the treatment of human functioning exploiting the \"synchronized brains\" potential exacerbated by social interactions in virtual scenarios.</p><p><strong>Results: </strong>The metaverse emerges as an ideal domain for adapting the principles of the-International Classification of Functioning. Its intrinsic capacity to simulate interactions within virtual environments shared by multi-users, while providing a profound sense of presence and comprehensive perception, should facilitate learning and experiential understanding. Technical and conceptual aspects are currently under definition, including the interplay with artificial intelligence, definition of social metrics performance, and the utilization of blockchain technology for economic purposes.</p><p><strong>Conclusion: </strong>Building upon these foundations, this paper explores potential areas of metaverse applications in rehabilitation and examines how they may facilitate the pillars outlined in the World Health Organization's Rehabilitation 2030 call for action.</p>","PeriodicalId":94158,"journal":{"name":"Neurorehabilitation and neural repair","volume":" ","pages":"241-255"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11921206/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142928793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}