OBJECTIVE: This study aims to assess the impact of proprioceptive training strategies with dual-task exercises on gait in people with chronic stroke.
METHODS: Systematic review.
METHODS: Chronic stroke.
METHODS: Searches were conducted in accordance with PRISMA guidelines and PICOS criteria. PubMed, Web of Science, and Scopus databases were systematically searched from November 2020 to February 2022, for eligible clinical trials. Two independent reviewers thoroughly screened potential articles for relevance and assessed the methodology quality. In accordance with the GRADE, PICOS criteria, and Cochrane risk of bias tools, the authors included articles concerning the effectiveness of dual-task in proprioceptive training on gait parameters in people with chronic stroke.
RESULTS: Of 3075 identified studies, 11 articles met the inclusion criteria: 7 were randomized clinical trials, 1 was not randomized, and 3 were observational studies. The overall quality of evidence, assessed using the GRADE framework, was high, indicating a high level of confidence in the systematic review\'s findings. The papers involved 393 stroke patients; 241 underwent dual-task in proprioceptive training, with 152 participants in other stroke rehabilitation; within the dual-task group, 71 engaged in cognitive tasks, and 170 participated in motor tasks. dual-task in proprioceptive training improved gait speed, cadence, stride time, stride length, and step length. The best effects were observed with training 3 times a week for 4 weeks, with each session lasting 30 minutes, on speed, cadence, stride length, and step length.
CONCLUSIONS: Current evidence suggests that proprioceptive training strategies with dual-task exercises improved walking abilities in people with chronic stroke. Specifically, it enhanced gait speed, a key indicator of clinical severity.

BACKGROUND: Stroke patients often face disabilities that significantly interfere with their daily lives. Poor nutritional status is a common issue amongst these patients, and malnutrition can severely impact their functional recovery post-stroke. Therefore, nutritional therapy is crucial in managing stroke outcomes. However, its effects on disability, activities of daily living (ADL), and other critical outcomes have not been fully explored.
OBJECTIVE: To evaluate the effects of nutritional therapy on reducing disability and improving ADL in patients after stroke.
METHODS: We searched the trial registers of the Cochrane Stroke Group, CENTRAL, MEDLINE (from 1946), Embase (from 1974), CINAHL (from 1982), and AMED (from 1985) to 19 February 2024. We also searched trials and research registries (ClinicalTrials.gov, World Health Organization International Clinical Trials Registry Platform) and reference lists of articles.
METHODS: We included randomised controlled trials (RCTs) that compared nutritional therapy with placebo, usual care, or one type of nutritional therapy in people after stroke. Nutritional therapy was defined as the administration of supplemental nutrients, including energy, protein, amino acids, fatty acids, vitamins, and minerals, through oral, enteral, or parenteral methods. As a comparator, one type of nutritional therapy refers to all forms of nutritional therapies, excluding the specific nutritional therapy defined for use in the intervention group.
METHODS: We used Cochrane\'s Screen4Me workflow to assess the initial search results. Two review authors independently screened references that met the inclusion criteria, extracted data, and assessed the risk of bias and the certainty of the evidence using the GRADE approach. We calculated the mean difference (MD) or standardised mean difference (SMD) for continuous data and the odds ratio (OR) for dichotomous data, with 95% confidence intervals (CIs). We assessed heterogeneity using the I2 statistic. The primary outcomes were disability and ADL. We also assessed gait, nutritional status, all-cause mortality, quality of life, hand and leg muscle strength, cognitive function, physical performance, stroke recurrence, swallowing function, neurological impairment, and the development of complications (adverse events) as secondary outcomes.
RESULTS: We identified 52 eligible RCTs involving 11,926 participants. Thirty-six studies were conducted in the acute phase, 10 in the subacute phase, three in the acute and subacute phases, and three in the chronic phase. Twenty-three studies included patients with ischaemic stroke, three included patients with haemorrhagic stroke, three included patients with subarachnoid haemorrhage (SAH), and 23 included patients with ischaemic or haemorrhagic stroke including SAH. There were 25 types of nutritional supplements used as an intervention. The number of studies that assessed disability and ADL as outcomes were nine and 17, respectively. For the intervention using oral energy and protein supplements, which was a primary intervention in this review, six studies were included. The results for the seven outcomes focused on (disability, ADL, body weight change, all-cause mortality, gait speed, quality of life, and incidence of complications (adverse events)) were as follows: There was no evidence of a difference in reducing disability when \'good status\' was defined as an mRS score of 0 to 2 (for \'good status\': OR 0.97, 95% CI 0.86 to 1.10; 1 RCT, 4023 participants; low-certainty evidence). Oral energy and protein supplements may improve ADL as indicated by an increase in the FIM motor score, but the evidence is very uncertain (MD 8.74, 95% CI 5.93 to 11.54; 2 RCTs, 165 participants; very low-certainty evidence). Oral energy and protein supplements may increase body weight, but the evidence is very uncertain (MD 0.90, 95% CI 0.23 to 1.58; 3 RCTs, 205 participants; very low-certainty evidence). There was no evidence of a difference in reducing all-cause mortality (OR 0.57, 95% CI 0.14 to 2.28; 2 RCTs, 4065 participants; low-certainty evidence). For gait speed and quality of life, no study was identified. With regard to incidence of complications (adverse events), there was no evidence of a difference in the incidence of infections, including pneumonia, urinary tract infections, and septicaemia (OR 0.68, 95% CI 0.20 to 2.30; 1 RCT, 42 participants; very low-certainty evidence). The intervention was associated with an increased incidence of diarrhoea compared to usual care (OR 4.29, 95% CI 1.98 to 9.28; 1 RCT, 4023 participants; low-certainty evidence) and the occurrence of hyperglycaemia or hypoglycaemia (OR 15.6, 95% CI 4.84 to 50.23; 1 RCT, 4023 participants; low-certainty evidence).
CONCLUSIONS: We are uncertain about the effect of nutritional therapy, including oral energy and protein supplements and other supplements identified in this review, on reducing disability and improving ADL in people after stroke. Various nutritional interventions were assessed for the outcomes in the included studies, and almost all studies had small sample sizes. This led to challenges in conducting meta-analyses and reduced the precision of the evidence. Moreover, most of the studies had issues with the risk of bias, especially in terms of the absence of blinding and unclear information. Regarding adverse events, the intervention with oral energy and protein supplements was associated with a higher number of adverse events, such as diarrhoea, hyperglycaemia, and hypoglycaemia, compared to usual care. However, the quality of the evidence was low. Given the low certainty of most of the evidence in our review, further research is needed. Future research should focus on targeted nutritional interventions to reduce disability and improve ADL based on a theoretical rationale in people after stroke and there is a need for improved methodology and reporting.

OBJECTIVE: Stroke impairs a patient\'s ability to walk. In patients with acute stroke, a 6-min walking distance (6MWD) is recommended to assess walking function. Minimal clinically important difference (MCID) is used to determine the effectiveness of rehabilitation; however, the MCID for 6MWD has not been adequately validated. This study aimed to estimate the MCID of 6MWD, a measure of walking endurance, in patients with acute stroke using anchor-based methods.
METHODS: Based on the change in 6MWD from baseline to the follow-up measurement 2 weeks later, the MCID was estimated using anchor-based methods (receiver operator operating characteristic curves, predictive and adjustment models) with a patient- and therapist-rated global rating of change scale (p-GRC, t-GRC) as external anchors. The accuracy of \"meaningful change\" was estimated from the area under the curve. Using MCID\'s credibility instruments, the credibility of each anchor was evaluated. Using the credibility instrument, high credibility was defined as satisfying 3/5 of the Core criteria and 6/9 of all criteria.
RESULTS: The analysis included 58 patients. The MCID for each anchor was 78.7-100.0 m for p-GRC, and 95.2-99.5 m for t-GRC. The p-GRC demonstrated excellent accuracy (area under the curve >0.8). With p-GRC as anchors, over 50% of patients showed improvement. The p-GRC satisfied the core criterion of 3/5 and all criteria of 6/9 on the reliability instrument. The t-GRC demonstrated low reliability and satisfied the core criterion of 2/5 and all criteria of 3/9.
CONCLUSIONS: Since the percentage of improved groups exceeded 50%, the adjusted model was useful in the anchor-based method. Therapists may not accurately capture patient fatigue and subjective symptoms, potentially affecting the correlation between the 6MWD change score and the t-GRC and, consequently, the reliability instrument. The p-GRC showed high accuracy and reliability; therefore, the MCID was estimated to be 78.7 m.

UNASSIGNED: After a stroke, damage to the part of the brain that controls movement results in the loss of motor function. Brain-computer interface (BCI)-based stroke rehabilitation involves patients imagining movement without physically moving while the system measures the perceptual-motor rhythm in the motor cortex. Visual feedback through virtual reality and functional electrical stimulation is provided simultaneously. The superiority of real BCI over sham BCI in the subacute phase of stroke remains unclear. Therefore, we aim to compare the effects of real and sham BCI on motor function and brain activity among patients with subacute stroke with weak wrist extensor strength.
UNASSIGNED: This is a double-blinded randomized controlled trial. Patients with stroke will be categorized into real BCI and sham BCI groups. The BCI task involves wrist extension for 60 min/day, 5 times/week for 4 weeks. Twenty sessions will be conducted. The evaluation will be conducted four times, as follows: before the intervention, 2 weeks after the start of the intervention, immediately after the intervention, and 4 weeks after the intervention. The assessments include a clinical evaluation, electroencephalography, and electromyography using motor-evoked potentials.
UNASSIGNED: Patients will be categorized into two groups, as follows: those who will be receiving neurofeedback and those who will not receive this feedback during the BCI rehabilitation training. We will examine the importance of motor imaging feedback, and the effect of patients\' continuous participation in the training rather than their being passive.Clinical Trial Registration: KCT0008589.

BACKGROUND: Both individuals and society bear a considerable burden from ischemic stroke (IS), not only do patients continue suffering from motor dysfunction after discharge from hospital, but their caregivers also undertake the principal responsibility of assisting them in reintegrating into the family and society. To better improve the IS patients\' limb function and daily life activities, their caregivers should also be involved in the training of the motor function rehabilitation during the period transitioning from hospital back home. This study mainly aims to investigate the effects of a nurse-led training for IS patients and their family caregivers on the improvement of the patients\' physical function and the burden of caregivers.
METHODS: A randomized controlled trial with blind assessment will be conducted in hospitals and during the follow-ups at home. Fifty-eight pairs of adults diagnosed with ischemic stroke and their primary caregivers will be included. Participants will be randomly given with (1) a nurse-led, home-based motor rehabilitation training participated by caregivers (intervention group) or (2) routine self-care (control group). Both groups will receive assessment and health guidance on the day of discharge, and the intervention group will receive an additional home-based training program and supervision. These two groups will be followed up every week after discharge. The primary results are drawn from the evaluation of physical function and caregiver-related burden, and the secondary results derived from statistics of the modified Barthel index, stroke-specific quality of life, and National Institutes of Health Stroke Scale. Differences between the two groups will be measured by two-way repeated measures ANOVA, considering the data at baseline and at 1-week and 4-week follow-up after training.
CONCLUSIONS: Results may provide novel and valuable information on the effects of this culturally appropriate, caregiver-involved, and home-based rehabilitation training on the physical function of IS patients and caregiver-related burden.
BACKGROUND: Chinese Clinical Trial Registry (chictr.org.cn) ChiCTR2300078798. Registered on December 19, 2023.

BACKGROUND: This parallel, randomized controlled trial examined intrinsic motivation, adherence and motor function improvement demonstrated by two groups of subjects that performed a 12-week, home-based upper extremity rehabilitation program. Seventeen subjects played scaffolded games, presenting eight to twelve discrete levels of increasing difficulty. Sixteen subjects performed the same activities controlled by success algorithms that modify game difficulty incrementally.
METHODS: 33 persons 20-80 years of age, at least 6 months post stroke with moderate to mild hemiparesis were randomized using a random number generator into the two groups. They were tested using the Action Research Arm Test, Upper Extremity Fugl Meyer Assessment, Stroke Impact Scale and Intrinsic Motivation Inventory pre and post training. Adherence was measured using timestamps generated by the gaming system. Subjects had the Home Virtual Rehabilitation System (Qiu in J Neuroeng Rehabil 17: 1-10, 2020) placed in their homes and were taught to perform rehabilitation games using it. Subjects were instructed to train twenty minutes per day but were allowed to train as much as they chose. Subjects trained for 12 weeks without appointments and received intermittent support from study staff. Group outcomes were compared using ANOVA. Correlations between subject demographics and adherence, as well as motor outcome, were evaluated using Pearson Correlation Coefficients.
RESULTS: There were 5 dropouts and no adverse events. The main effect of time was statistically significant for four of the five clinical outcome measures. There were no significant training group by time interactions. Measures of adherence did not differ significantly between groups. The combined groups improved their UEFMA scores on average by 5.85 (95% CI 4.73-6.98). 21 subjects from both groups demonstrating improvements in UEFMA scores of at least 5 points, exceeding the minimal clinically important difference of 4.25. IMI scores were stable pre to post training.
CONCLUSIONS: Scaffolding challenges during game based rehabilitation did not elicit higher levels of adherence when compared to algorithm control of game difficulty. Both sparsely supervised programs of game-based treatment in the home were sufficient to elicit statistically significant, clinically meaningful improvements in motor function and activities of daily living.
BACKGROUND: Clinical Trials.gov-NCT03985761, Registered June 14, 2019.

OBJECTIVE: To evaluate the feasibility of implementing a self-management intervention to improve mobility in the community for stroke survivors.
METHODS: A two-phase sequential mixed methods design was used (a pilot randomised controlled trial and focus groups). Participants were adult stroke survivors within six months post discharge from hospital with functional and cognitive capacity for self-management. The intervention included education sessions, goal setting and action planning, group sessions, self-monitoring and follow up. The control group received usual care and both groups enrolled for 3 months in the study. Feasibility outcomes (recruitment and retention rates, randomisation and blinding, adherence to the intervention, collection of outcome measures, and the fidelity and acceptability of the intervention). Participants assessed at baseline, 3 months and 6 months for functional mobility and walking, self-efficacy, goal attainment, cognitive ability, and general health. A descriptive analysis was done for quantitative data and content analysis for the qualitative data. Findings of quantitative and qualitative data were integrated to present the final results of the study.
RESULTS: Twenty-four participants were recruited and randomised into two groups (12 each). It was feasible to recruit from hospital and community and to deliver the intervention remotely. Randomisation and blinding were successful. Participants were retained (83%) at 3 months and (79.2%) at 6 months assessments. Adherence to the intervention varied due to multiple factors. Focus groups discussed participants\' motivations for joining the programme, their perspectives on the intervention (fidelity and acceptability) and methodology, perceived improvements in mobility, facilitators and challenges for self-management, and suggestions for improvement.
CONCLUSIONS: The self-management intervention seems feasible for implementation for stroke survivors in the community. Participants appreciated the support provided and perceived improvement in their mobility. The study was not powered enough to draw a conclusion about the efficacy of the program and a future full-scale study is warranted.

UNASSIGNED: Combining machine learning (ML) with gait analysis is widely applicable for diagnosing abnormal gait patterns.
UNASSIGNED: To analyze gait adaptability characteristics in stroke patients, develop ML models to identify individuals with GAD, and select optimal diagnostic models and key classification features.
UNASSIGNED: This study was investigated with 30 stroke patients (mean age 42.69 years, 60% male) and 50 healthy adults (mean age 41.34 years, 58% male). Gait adaptability was assessed using a CMill treadmill on gait adaptation tasks: target stepping, slalom walking, obstacle avoidance, and speed adaptation. The preliminary analysis of variables in both groups was conducted using t-tests and Pearson correlation. Features were extracted from demographics, gait kinematics, and gait adaptability datasets. ML models based on Support Vector Machine, Decision Tree, Multi-layer Perceptron, K-Nearest Neighbors, and AdaCost algorithm were trained to classify individuals with and without GAD. Model performance was evaluated using accuracy (ACC), sensitivity (SEN), F1-score and the area under the receiver operating characteristic (ROC) curve (AUC).
UNASSIGNED: The stroke group showed a significantly decreased gait speed (p = 0.000) and step length (SL) (p = 0.000), while the asymmetry of SL (p = 0.000) and ST (p = 0.000) was higher compared to the healthy group. The gait adaptation tasks significantly decreased in slalom walking (p = 0.000), obstacle avoidance (p = 0.000), and speed adaptation (p = 0.000). Gait speed (p = 0.000) and obstacle avoidance (p = 0.000) were significantly correlated with global F-A score in stroke patients. The AdaCost demonstrated better classification performance with an ACC of 0.85, SEN of 0.80, F1-score of 0.77, and ROC-AUC of 0.75. Obstacle avoidance and gait speed were identified as critical features in this model.
UNASSIGNED: Stroke patients walk slower with shorter SL and more asymmetry of SL and ST. Their gait adaptability was decreased, particularly in obstacle avoidance and speed adaptation. The faster gait speed and better obstacle avoidance were correlated with better functional mobility. The AdaCost identifies individuals with GAD and facilitates clinical decision-making. This advances the future development of user-friendly interfaces and computer-aided diagnosis systems.

BACKGROUND: Patients with neurological disorders including stroke use rehabilitation to improve cognitive abilities, to regain motor function and to reduce the risk of further complications. Robotics-assisted tilt table technology has been developed to provide early mobilisation and to automate therapy involving the lower limbs. The aim of this study was to evaluate the feasibility of employing a feedback control system for heart rate (HR) during robotics-assisted tilt table exercise in patients after a stroke.
METHODS: This feasibility study was designed as a case series with 12 patients ( n = 12 ) with no restriction on the time post-stroke or on the degree of post-stroke impairment severity. A robotics-assisted tilt table was augmented with force sensors, a work rate estimation algorithm, and a biofeedback screen that facilitated volitional control of a target work rate. Dynamic models of HR response to changes in target work rate were estimated in system identification tests; nominal models were used to calculate the parameters of feedback controllers designed to give a specified closed-loop bandwidth; and the accuracy of HR control was assessed quantitatively in feedback control tests.
RESULTS: Feedback control tests were successfully conducted in all 12 patients. Dynamic models of heart rate response to imposed work rate were estimated with a mean root-mean-square (RMS) model error of 2.16 beats per minute (bpm), while highly accurate feedback control of heart rate was achieved with a mean RMS tracking error (RMSE) of 2.00 bpm. Control accuracy, i.e. RMSE, was found to be strongly correlated with the magnitude of heart rate variability (HRV): patients with a low magnitude of HRV had low RMSE, i.e. more accurate HR control performance, and vice versa.
CONCLUSIONS: Feedback control of heart rate during robotics-assisted tilt table exercise was found to be feasible. Future work should investigate robustness aspects of the feedback control system. Modifications to the exercise modality, or alternative modalities, should be explored that allow higher levels of work rate and heart rate intensity to be achieved.

Functional electrical stimulation (FES) can support functional restoration of a paretic limb post-stroke. Hebbian plasticity depends on temporally coinciding pre- and post-synaptic activity. A tight temporal relationship between motor cortical (MC) activity associated with attempted movement and FES-generated visuo-proprioceptive feedback is hypothesized to enhance motor recovery. Using a brain-computer interface (BCI) to classify MC spectral power in electroencephalographic (EEG) signals to trigger FES-delivery with detection of movement attempts improved motor outcomes in chronic stroke patients. We hypothesized that heightened neural plasticity earlier post-stroke would further enhance corticomuscular functional connectivity and motor recovery. We compared subcortical non-dominant hemisphere stroke patients in BCI-FES and Random-FES (FES temporally independent of MC movement attempt detection) groups. The primary outcome measure was the Fugl-Meyer Assessment, Upper Extremity (FMA-UE). We recorded high-density EEG and transcranial magnetic stimulation-induced motor evoked potentials before and after treatment. The BCI group showed greater: FMA-UE improvement; motor evoked potential amplitude; beta oscillatory power and long-range temporal correlation reduction over contralateral MC; and corticomuscular coherence with contralateral MC. These changes are consistent with enhanced post-stroke motor improvement when movement is synchronized with MC activity reflecting attempted movement.