Search Results (1,691)

Background/Objectives: Psychological resilience is associated with improved quality of life after stroke, yet less is known about how resilience and mindfulness interact over time in long-term recovery. This qualitative instrumental case study aimed to describe how psychological resilience and mindfulness unfolded in one stroke survivor with high psychological resilience and to identify processes that may inform future research on long-term stroke rehabilitation. Method: We conducted an instrumental qualitative case study involving a stroke survivor and his spouse (carepartner), using an in-depth interview framework for data collection and grounded theory procedures to support analysis. Data sources included interview transcripts and contextual artifacts, such as personal and professional websites, emails, and informal conversations. Findings: Three interrelated themes described how resilience unfolded in this case: (a) antecedents to poststroke resilience: personality traits, values, behavioral modeling, and environmental factors; (b) the obstacle is the way to posttraumatic growth; and (c) poststroke resilience: mindfulness embodied. Together, these themes suggest how prestroke strengths, responses to adversity, and mindfulness practice interacted in this participant’s long-term recovery. Conclusions: This exploratory case study offers a detailed account of how resilience and mindfulness may interact after stroke in one highly resilient individual. The findings are hypothesis-generating and may help guide future research on mindfulness-based and holistic approaches to long-term stroke recovery in larger and more diverse populations. Full article

Background/Objectives: Recovery of upper limb function after stroke is highly heterogeneous, and accurate prediction of clinically meaningful functional transition remains a major challenge in rehabilitation medicine. We developed and temporally validated machine learning (ML)-based prognostic models for predicting transition from non-functional movement to functionally usable upper limb capacity in patients undergoing intensive inpatient rehabilitation during the early subacute phase of stroke. Methods: This retrospective cohort study included 960 patients with ischemic or hemorrhagic stroke admitted to a tertiary rehabilitation center between 2010 and 2025. Three functional recovery outcomes were defined: motor impairment recovery, defined as Fugl-Meyer Assessment for Upper Extremity score ≥ 32; gross manual dexterity recovery, defined as Box and Block Test score ≥ 2 blocks/min; and functional pinch strength recovery, defined as pinch strength ≥ 1.1 kgf. Multidimensional predictors spanning demographic, clinical, neurophysiological, neuroimaging, and rehabilitation-related domains were integrated. Four ML algorithms were evaluated using stratified 5-fold cross-validation and temporal validation in a chronologically independent cohort (2024–2025). Models were developed under two tracks: Track A, incorporating only baseline variables available at admission (primary prognostic model), and Track B, additionally incorporating cumulative rehabilitation-related variables (exploratory). Results: Random Forest demonstrated the best overall performance. During temporal validation, models achieved AUROC of 0.800 for motor impairment recovery, 0.958 for gross manual dexterity recovery, and 0.888 for functional strength recovery. Baseline motor severity and corticospinal tract integrity were the dominant biological determinants of recovery. Earlier rehabilitation initiation and greater upper-limb robot-assisted therapy exposure were also associated with improved outcomes; however, these findings should be interpreted as observational associations subject to treatment-selection bias rather than evidence of causal effects. Conclusions: Probabilistic ML prediction integrating neural reserve and rehabilitation-related exposure variables can support individualized precision rehabilitation planning and improve functional outcome stratification in early subacute stroke. Full article

Accurately classifying gait abnormalities is crucial for the effective monitoring and rehabilitation of stroke patients. This study proposed a lightweight machine learning framework for distinguishing healthy from abnormal gait patterns using statistical features extracted from wearable gyroscope data. Statistical z-axis angular velocity values from both limbs were derived and used to evaluate the performance of multiple classifiers, including logistic regression, support vector machines, and ensemble methods. A leave-one-out cross-validation strategy was employed to enhance generalizability across subjects. The results indicated that several classifiers achieve accuracy and area under the curve (AUC) values exceeding 0.95, with random forest and support vector machine-based models demonstrating near-perfect class separability, with an AUC of 0.98. These findings highlighted the effectiveness of using minimal set of biomechanically relevant gyroscope features for gait classification in real-world healthcare applications. The proposed pipeline is computationally efficient, making it well suited for implementing in wearable and remote monitoring systems. Full article

Background/Objectives: Vagus nerve stimulation (VNS) has evolved from a laboratory experiment to a standard of care in several neurological disorders like epilepsy, depression and stroke rehabilitation at present. Methods: We reviewed the published literature relevant to its origins in animal models leading to various clinical applications. Results: Bailey and Bremer published their observations following VNS in animals while further studies established its utility in some forms of epilepsy. Subsequent observations in epilepsy patients treated with VNS revealed the unequivocal improvement in psychological and behavioral disorders. Consequently, VNS received approval for its application in resistant depression disorders. Multiple studies revealed changes due to neuronal plasticity following VNS that could result in the significant clinical recovery of motor function in chronic ischemic stroke patients. Chronic incomplete cervical spinal cord injury, head injury and peripheral nerve injury deficits are also being studied for recovery patterns. Transcutaneous approaches and closed-loop stimulation are showing encouraging results that may facilitate the extension of the application of neuromodulation using VNS. Conclusions: For the recovery of motor function following paralysis in stroke patients or cervical spinal cord injuries, the timing of the stimulation after physical activity during rehabilitation has been identified as a key factor. In addition to the timing of the stimulation, the titration of the parameters is also being studied to obtain optimized recovery in cases of motor, sensory, or sphincter deficits. Full article

Background/Objectives: Stroke remains a leading cause of global disability, with upper limb impairment affecting over 80% of patients. During the acute phase (first seven days), a critical neuroplastic window exists where interventions may significantly influence recovery. This systematic review and meta-analysis aimed to evaluate the effectiveness and safety of electrical stimulation—specifically Functional Electrical Stimulation (FES) and Neuromuscular Electrical Stimulation (NMES)—on upper limb functional recovery and complication prevention during the acute phase of stroke. Methods: A systematic search was conducted across eight databases (including Medline, PEDRo, and Cochrane) for randomized and non-randomized clinical trials published between 2016 and 2025. Methodological quality was assessed using the PEDRo scale. Quantitative synthesis was performed via meta-analysis using a random-effects model, focusing on the Fugl-Meyer Assessment (FMA-UE). Results: Eight randomized clinical trials were selected with a total of 384 participants. The meta-analysis results showed a positive and statistically significant effect in favor of the experimental group compared to the control group (Z = 2.39; p = 0.02), with a combined Standardized Mean Difference of 0.53 (95% CI: 0.10 to 0.96), indicating a moderate effect size on the Fugl-Meyer Assessment Upper Extremity scale. Although high heterogeneity was detected (I² = 74%), the analysis suggests that Functional Electrical Stimulation (FES) and Neuromuscular Electrical Stimulation (NMES) improve manual dexterity, prevent disuse atrophy, and reduce glenohumeral subluxation. Conclusions: Electrical stimulation shows a positive trend in early stroke recovery; however, it should be considered a promising adjunct rather than a definitive treatment. Further research into standardized protocols is required to confirm their clinical significance. Full article

Robot-assisted telerehabilitation (RAT) combines rehabilitation robotics with digital health workflows to extend access to upper-limb (UL) therapy after stroke. Mixed reality (MR) may support therapist–patient interaction and task visualization; however, early-stage systems require rigorous evaluation of safety and usability before deployment in the home. In a formative, mixed-methods usability study conducted in a controlled setting using a telerehabilitation workflow, six individuals post-stroke (≥3 months) and six occupational therapists (OTs) completed a single supervised session with a desktop-mounted end-effector type therapeutic robot (iTbot) integrated with Microsoft HoloLens 2. Participants performed structured passive and active UL exercises while therapists supervised and interacted with the system via the MR control interfaces. Safety was evaluated by documenting observed adverse events and safety-stop activations. Usability and user experience were assessed using the System Usability Scale (SUS), study-specific satisfaction questionnaires (reported with scale ranges), and semi-structured follow-up interviews analyzed using thematic analysis. All participants completed the session without observed adverse events or safety-stop activations. Overall usability was favorable, with a mean (SD) SUS total score of 78.3 (15.9) out of 100 (stroke: 74.2 [18.1]; occupational therapists: 82.5 [13.5]). Qualitative feedback indicated that MR was perceived as engaging and intuitive by many users, while also identifying implementation needs relevant to real-world telerehabilitation, including clearer onboarding, simplification of certain MR interactions, and improved physical interfaces (e.g., handle options). Therapists highlighted workflow considerations for remote supervision and patient independence. Together, these findings support progression to multi-session, in-home studies to quantify remote assistance needs, technical reliability, adherence, and clinical outcomes. Full article

In recent years, hand exoskeleton robots have attracted extensive attention from researchers and practitioners due to their potential to rehabilitate, assist, and enhance hand movements, particularly for stroke patients. With an ageing population increasingly affected by strokes, there is a growing demand for patient-centred interventions which place less demand on clinicians, especially wearable devices that can enhance hand function. Advances in artificial intelligence have opened new avenues for developing more reliable and adaptive assistive systems. This study presents a systematic literature review, following the PRISMA protocol on the design elements of hand exoskeleton robots, acknowledging the emerging perspectives on AI integration and ethical considerations. The study provides a comprehensive foundation for future research and development in rehabilitation technologies by systematically synthesising the current mechanical architecture, actuation, sensors, material, weight, and cost aspects of soft hand exoskeleton robots for rehabilitation. The results show important patterns and trade-offs in various design dimensions, providing useful information to direct the development of more accessible and efficient rehabilitation solutions in the future. Full article

Background and Objectives: Whether post-stroke oral hesitation carries different clinical implications by lesion location is unclear. We compared oral hesitation and its relationship with chewing, cognition, and aspiration risk between frontal and parietal lobe stroke. Materials and Methods: We retrospectively analyzed 242 patients (35 frontal, 207 parietal) from 946 consecutive stroke admissions (2016–2020) with isolated lesions and videofluoroscopic swallowing study within one month. Oral hesitation, chewing, Clinical Dysphagia Scale (CDS), and Mini-Mental State Examination (MMSE) were recorded. Penetration-Aspiration Scale (PAS) scores were categorized as Normal (1), Penetration (2–5), or Aspiration (6–8). Multivariable logistic regression adjusting for age, sex, stroke type, and lesion side was performed. Firth’s penalized estimation was used for models with quasi-separation. Results: Groups were demographically comparable in age (68.1 ± 15.0 vs. 71.7 ± 12.2 years; p = 0.206) and female sex (48.6% vs. 42.0%; p = 0.590). Oral hesitation was significantly more prevalent in the frontal group (liquid: 80.0% vs. 23.2%, p < 0.001; semisolid: 68.6% vs. 26.6%, p < 0.001). Frontal patients scored worse on six of seven CDS subcomponents (p < 0.01), yet chewing was uncorrelated with oral hesitation or residue (p > 0.3), unchanged after MMSE adjustment. In parietal patients, chewing correlated with all outcomes (ρ = 0.19–0.30, p < 0.01). In parietal stroke, oral hesitation was linked with liquid aspiration (64.3% vs. 35.7%; OR = 3.25, p = 0.001) and semisolid airway invasion (OR = 2.70, p = 0.005); these associations remained significant after multivariable adjustment and FDR correction. No such association was detected in the frontal group, although this finding is limited by the smaller sample size. Conclusions: Oral hesitation may carry different clinical implications by lesion site. In parietal stroke, it was associated with chewing impairment and higher aspiration risk, suggesting a possible sensorimotor contribution. Frontal group findings were underpowered and should be considered exploratory. Lesion-specific interpretation warrants larger-cohort confirmation. Full article

Background/Objectives: Upper-limb motor dysfunction is common after stroke, and patients often have limited recovery during rehabilitation. In this study, we aimed to investigate the relationship between contralesional neurophysiological parameters and the effects of rehabilitation on upper-limb motor function in stroke patients with corticospinal tract damage. Methods: Forty patients with subacute stroke with an absent MEP response on the ipsilesional side before admission were included. Contralesional neurophysiological parameters, including resting motor threshold, contralesional MEP, contralesional short-interval intracortical inhibition (short-ICI), and contralesional long-interval intracortical inhibition (long-ICI), were assessed via transcranial magnetic stimulation (TMS) pre-admission. The coefficients of variation for MEP, short-ICI, and long-ICI were calculated to assess cortical stability. Rehabilitation effect was measured using changes in the Fugl–Meyer assessment score after 21 days of rehabilitation. Results: No single contralesional parameter significantly predicted rehabilitation effect. Further exploratory analysis revealed that a model combining contralesional neurophysiological parameters was associated with proximal limb motor function recovery. Short-ICI played a prominent role in this exploratory model. Conclusions: Contralesional neurophysiological markers demonstrated limited predictive value in patients with stroke with moderate-to-severe motor dysfunction and damaged corticospinal tract function on the ipsilesional side. However, a model combining multimodal contralesional TMS measures, particularly short-ICI, may offer incremental value in predicting proximal limb motor improvement following 21-day rehabilitation. Although this mechanism was not directly measured, the findings suggest a compensatory role of the cortico-reticulo-spinal pathway. These exploratory results should be interpreted with caution regarding their clinical applicability and are premature as a predictive tool, pending rigorous external validation. Full article

Early-stage stroke rehabilitation increasingly incorporates virtual reality (VR) systems to provide interactive motor training and positive reinforcement. However, the minimal voluntary plantar pressure activations generated during early recovery are often below the detection limits of conventional pressure-sensing platforms, restricting timely feedback. This study quantitatively evaluates the detectability of low-amplitude plantar micro-intent signals under varying sensor resolution and adaptive threshold conditions. Publicly available plantar pressure recordings from the PhysioNet Center for Verification and Evaluation of Stroke (CVES) database were used as physiological baseline signals. Micro-intent was modeled as short-duration half-sine pressure pulses with systematically varied amplitudes and integrated into low-load baseline segments. Sensor resolution was represented through controlled noise modeling to emulate low-, medium-, and high-resolution sensing scenarios. A sliding-window adaptive threshold detector was evaluated across multiple amplitudes and sensitivity stages. The detection probability, false positive rate, and minimum detectable amplitude (defined as ≥80% detection probability) were quantified. The results show that detection probability increases with signal amplitude and shifts toward lower amplitudes with improved sensor resolution and more sensitive threshold configurations. Higher-resolution sensing reduced the minimum detectable amplitude, while adaptive thresholding enabled earlier detection of weak plantar activations without substantial increases in false positives. These findings provide quantitative design guidance for pressure-sensing VR rehabilitation systems targeting early-stage motor recovery. Full article

Background/Objectives: Robot-assisted therapy (RAT) can deliver repetitive, feedback-enriched upper-limb practice after stroke, but evidence comparing RAT with dose-matched conventional occupational therapy (COT) under routine inpatient conditions—and concurrent neurocognitive data—remains limited. We compared motor recovery between an end-effector RAT-based program (30 min RAT plus 30 min COT) and dose-matched COT alone in subacute stroke survivors, with neurocognitive outcomes prespecified as exploratory endpoints. Methods: In this single-center retrospective non-randomized cohort study, adults with first-ever ischemic or hemorrhagic stroke who completed routine baseline and week−4 assessments received 4 weeks of upper-limb rehabilitation: combined RAT plus COT (60 min daily) or COT alone (60 min daily). The primary outcome was the week-4 Fugl–Meyer Assessment–Upper Extremity (FMA-UE) motor score adjusted for baseline. Primary inference used covariate-adjusted linear regression on outcome-specific complete cases, with a prespecified stabilized inverse probability of treatment weighting (IPTW) average treatment effect analysis as the sensitivity test. Secondary and exploratory endpoints were interpreted descriptively; Benjamini–Hochberg false discovery rate (FDR) control and multiple imputation were applied as supportive analyses. Results: The analytic cohort comprised 65 patients (RAT, n = 33; COT alone, n = 32). Both groups improved over 4 weeks, but the RAT group had worse baseline upper-limb motor status. The adjusted between-group difference for the week-4 FMA-UE motor score was non-significant (adjusted mean difference, 4.39; 95% confidence interval (CI), −2.43 to 11.21; p = 0.203), and the stabilized IPTW estimate was concordant (β = 2.17; 95% CI, −3.63 to 7.98; p = 0.464). In unadjusted analyses, the FMA-UE motor gain was larger after RAT than COT alone (14.70 ± 15.53 vs. 7.91 ± 9.42), and only the RAT group exceeded the prespecified 12.4-point clinically important threshold; this signal attenuated after adjustment. No secondary or exploratory endpoint remained significant after FDR control. Multiple imputation for the primary endpoint was concordant with the complete-case result (pooled β = 4.52; 95% CI, −1.91 to 10.94; p = 0.168). Conclusions: End-effector RAT did not demonstrate adjusted superiority over dose-matched COT alone for upper-limb motor recovery. The larger unadjusted FMA-UE gain should be interpreted as a descriptive impairment-level signal rather than as evidence of comparative efficacy. Neurocognitive results were exploratory; the retrospective non-randomized design, baseline imbalance, differential missingness, and unavailable confounder data require cautious interpretation. Full article

Spinal cord stimulation (SCS) has expanded beyond pain treatment, becoming a neuromodulatory method capable of recruiting spinal and supraspinal circuits involved in motor recovery. This review summarises mechanistic knowledge, supports engineering developments, and describes the changing clinical translation of SCS in rehabilitation. Mounting scientific data shows that SCS’s effects go beyond dorsal column modulation and may involve segmental networks that promote activity-dependent plasticity and sensorimotor pathway restoration, probably due to a combination of Hebbian and non-Hebbian mechanisms (synaptic potentiation, interneuronal reorganisation, and altered afferent–efferent coupling). More recent advances, such as bursts and the high-frequency paradigm, closed-loop control, and data-driven parameter optimisation methods, improve the precision, stability, and calibration of stimulation for each individual. By combining SCS with non-invasive forms of neuromodulation (TMS, tDCS, and peripheral nerve stimulation), one can potentially further intensify corticospinal plasticity and maintain improvements in functions. Spinal cord stimulation remains an established treatment for chronic neuropathic pain, including failed back surgery syndrome and complex regional pain syndrome. In recent years, however, increasing attention has been directed toward its potential role in motor recovery after spinal cord injury and stroke. Progress in this area is limited by patient heterogeneity, variability in outcome measures, the complexity of multimodal rehabilitation protocols, and regulatory and logistical constraints—particularly when adaptive or closed-loop systems are used. Current evidence suggests that motor-restorative applications of SCS should be interpreted cautiously and integrated within carefully designed rehabilitation programmes, with attention to patient selection and realistic expectations regarding the durability of the benefit. Full article

Background: Ischemic stroke is the main cause of adult disability, with up to 25% of patients dying within the first year. In Germany, 4/10 patients receive in-hospital rehabilitation after acute stroke. Therefore, the aim of this study was to examine the association between modern neurological rehabilitation and the outcomes of patients with ischemic stroke. Methods: In our single-centre, prospective observational study, we included patients with ischemic stroke between March 2023–June 2025. Within the first year after discharge, we conducted telephone surveys, recording survival status, modified Rankin Scale score (mRS), and quality of life using EQ-5D-5L. Favourable outcomes were defined as mRS 0–2. Predictors of mortality and favourable outcomes after 12 months were calculated using multiple logistic regression. Results: We included 180 patients with ischemic stroke and complete one-year follow-up. Median age was 81 years, median Barthel Index at admission was 15 and median Charlson Comorbidity Index (CCI) was 4 points. Mortality during rehabilitation was 3.3% and 20.6% at 1 year. Only 10% achieved a favourable outcome after 12 months. Predictors of mortality were CCI (OR: 1.27 (1.01–1.61)) and discharge home (OR: 0.18 (0.06–0.48)). Predictors for favourable outcome were age (OR: 0.92 (0.87–0.97)), length of stay in rehabilitation (OR: 0.94 (0.91–0.97)) and weekly duration of neuropsychology (OR: 2.79 (1.27–6.66)). Conclusions: Multimorbid patients needing institutional care appear to have greater risk of death, while outcomes of younger patients, who needed less rehabilitation and had more consultation with neuropsychology, were associated with higher levels of independency after one year. Full article

Background: Spasticity significantly impairs functional recovery after severe acquired brain injury. Current management methods predominantly rely on pharmacological interventions, which can cause substantial side effects or require invasive medical procedures in refractory cases. Focal muscle vibration, a noninvasive technique that applies mechanical vibrations to muscle–tendon units and alters spinal and cortical excitability via proprioceptive pathways, has been effective in reducing spasticity in subjects with stroke. However, there is limited data to support focal muscle vibration as a viable option for improving functional recovery in patients with severe acquired brain injury. Objectives: To evaluate the clinical effects of adding focal muscle vibration to standard physiotherapy compared with standard physiotherapy alone in patients with severe acquired brain injury and spastic hypertonia. Methods: Twenty-four patients were randomly assigned to receive focal muscle vibration in addition to standard care (n = 12) or standard care alone (n = 12) for 3 weeks. Assessments were conducted at baseline, immediately after physiotherapy, and 3 weeks after physiotherapy. The outcomes assessed included the Modified Ashworth Scale, Disability Rating Scale, Modified Barthel Index, and three pain measures. Results: A significant reduction in spasticity was observed in the focal muscle vibration group, as indicated by the Modified Ashworth Scale scores (p = 0.014). Disability Rating Scale scores demonstrated a statistically significant decrease in disability ratings at the end of treatment (p = 0.002) and during the follow-up phase (p = 0.002). Between-group comparisons of change scores revealed a statistically significant improvement in disability ratings in the focal muscle vibration group during the treatment phase (p = 0.011). Significant functional gains were noted on the Disability Rating Scale, which persisted at the follow-up evaluation. Conclusions: Focal muscle vibration reduces muscle spasticity and improves functional status in patients with severe acquired brain injury during inpatient rehabilitation. Future studies with larger sample sizes, blinded assessments, and stratified randomization are needed to verify these findings and develop standardized treatment protocols for this underserved population. Full article

Background and Objectives: Pelvic fixation during robotic-assisted gait training (RAGT) may limit trunk–pelvis movement and influence functional recovery after stroke. This study investigated whether allowing pelvic motion during RAGT improves balance and gait performance in individuals with chronic stroke. Materials and Methods: A single-blind randomized controlled trial was conducted in 49 individuals with chronic stroke (PFG, n = 24; PRG, n = 25). Participants received Lokomat-assisted gait training (30 min/session, 3 sessions/week for 4 weeks) in addition to conventional therapy. The primary outcome was balance (BBS), and secondary outcomes included DGI, 10 MWT, and pelvic kinematics. Group × time interactions were analyzed using two-way repeated-measures ANOVA. Results: Significant group × time interactions were observed for BBS and DGI (p < 0.001), indicating greater improvements in the PRG. Gait speed improved significantly over time in both groups (p < 0.001), with no significant interaction for the 10 MWT. No significant interaction effects were found for pelvic kinematics, although a group main effect was observed for pelvic tilt. No adverse events were reported. Conclusions: Allowing pelvic motion during RAGT was associated with greater improvements in balance and dynamic gait performance compared with pelvic fixation. However, no corresponding changes were observed in pelvic kinematics, suggesting that functional improvements may not be explained by kinematic changes alone. Full article