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: Multiple sclerosis can cause locomotor and cognitive impairments even at lower levels of disability, which can impact daily life. The cognitive-motor dual task is commonly used to assess everyday locomotion. Thus, this study aimed to examine the effect of cognitive-motor dual tasks on gait parameters among patients with multiple sclerosis in the early disease stages and to determine whether dual tasks could be used as a clinical test to detect locomotion impairments.
METHODS: A systematic search of five databases was conducted in May 2024. The population of interest was patients with multiple sclerosis with an Expanded Disability Status Scale score of 4 or less. The following outcome measures were examined: spatiotemporal and kinematic parameters. The Newcastle-Ottawa Scale was used to assess the quality of the studies.
RESULTS: Eleven studies including 270 patients with multiple sclerosis and 221 healthy controls. Three spatiotemporal parameters were modified both in patients with multiple sclerosis and healthy controls during dual-task performance: gait speed, stride length and the double support phase. No spatiotemporal parameter was affected during dual-task performance in patients with multiple sclerosis alone.
CONCLUSIONS: Dual-task performance could be useful for assessing gait impairments in patients with multiple sclerosis provided that assessments and protocols are standardized. Nevertheless, the spatiotemporal parameters did not allow discrimination between patients with multiple sclerosis at an early stage and healthy controls. Three-dimensional gait analysis during dual-task performance could be a useful approach for detecting early gait impairments in patients with multiple sclerosis, assessing their progression and adjusting rehabilitation programs.

Parkinson\'s disease (PD) is a progressive neurodegenerative disorder, involving motor and non-motor symptoms (NMS). Sleep disturbances (SD) are the second most common NMS in PD and include rapid eye movement (REM) sleep behavior disorder (RBD), excessive daytime sleepiness and insomnia. Freezing of gait (FOG) is a gait impairment frequently reported in people with PD greatly hampering functional independence and quality of life. Presence of FOG has been associated with increased frequency and severity of NMS, including SD. Thus, the aim of this study was to systematically review the literature comparing the number of people with FOG in PD with (PD + SD) and without SD (PD-SD). By systematically searching PubMed and Web of Science databases to identify original peer-reviewed articles, 8 studies including 5251 people with PD (2025 PD + SD and 3226 PD-SD) met eligibility criteria and were included in the review. In 6 studies (4 studies investigating RBD, 2 studies investigating overall sleep quality), the group of PD + SD had higher prevalence of FOG compared with PD-SD. Although a limited number of studies, our findings suggest that PD + SD present more frequently FOG than PD-SD. More studies are required to investigate the possible mechanism underlying this association between FOG and sleep.

BACKGROUND: Parkinson\'s Disease (PD) is a progressive neurological disorder that results in potentially debilitating mobility deficits. Recently, spinal cord stimulation (SCS) has been proposed as a novel therapy for PD gait disorders. The highest levels of evidence remain limited for SCS.
OBJECTIVE: In this systematic review and narrative synthesis, the literature was searched using combinations of key phrases indicating spinal cord stimulation and PD.
METHODS: We included pre-clinical studies and all published clinical trials, case reports, conference abstracts as well as protocols for ongoing clinical trials. Additionally, we included trials of SCS applied to atypical parkinsonism.
RESULTS: A total of 45 human studies and trials met the inclusion criteria. Based on the narrative synthesis, a number of knowledge gaps and future avenues of potential research were identified. This review demonstrated that evidence for SCS is currently not sufficient to recommend it as an evidence-based therapy for PD related gait disorders. There remain challenges and significant barriers to widespread implementation, including issues regarding patient selection, effective outcome selection, stimulation location and mode, and in programming parameter optimization. Results of early randomized controlled trials are currently pending. SCS is prone to placebo, lessebo and nocebo as well as blinding effects which may impact interpretation of outcomes, particularly when studies are underpowered.
CONCLUSIONS: Therapies such as SCS may build on current evidence and be shown to improve specific gait features in PD. Early negative trials should be interpreted with caution, as more evidence will be required to develop effective methodologies in order to drive clinical outcomes.

OBJECTIVE: In people with Parkinson\'s disease, what is the effect of adding external cueing (ie, visual, auditory or somatosensorial cueing) to walking training compared with walking training alone in terms of walking, mobility, balance, fear of falling and freezing? Are any benefits carried over to participation or maintained beyond the intervention period?
METHODS: Systematic review of randomised trials with meta-analysis.
METHODS: Ambulatory adults with Parkinson\'s disease.
METHODS: Walking training with external cueing compared with walking training without external cueing.
METHODS: Walking (ie, speed, stride length and cadence), mobility, balance, fear of falling, freezing and participation.
RESULTS: Ten trials involving a total of 309 participants were included. The mean PEDro score of the included trials was 5 (range 4 to 8). Walking training with auditory cueing improved walking speed by 0.09 m/s (95% CI 0.02 to 0.15) more than walking training alone. Although the best estimate was that auditory cueing may also improve stride length by 5 cm, this estimate was imprecise (95% CI -2 to 11). The addition of visual cueing to walking training did not improve walking speed or stride length. Results regarding cadence, mobility, balance, fear of falling, and freezing and maintenance of benefits beyond the intervention period remain uncertain.
CONCLUSIONS: This systematic review provided low-quality evidence that walking training with auditory cueing is more effective than walking training alone for improving walking speed in Parkinson\'s disease. Cueing is an inexpensive and easy to implement intervention, so the mean estimate might be considered clinically worthwhile, although the confidence interval spans clinically trivial and worthwhile effects.
BACKGROUND: PROSPERO CRD42021255065.

This systematic review aims to examine the evidence of adding postural insole to traditional physical therapy to improve weight distribution, gait, mobility, balance, and postural control in stroke survivors. Five databases were searched to retrieve all related randomized controlled trials examining the effect of insole on stroke patients. Two independent authors checked the potential articles against eligibility criteria according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. A meta-analysis was conducted for available outcomes and the statistical heterogeneity was examined using the I2 test. Of 762 articles, only 15 with 448 patients were included after they met the inclusion criteria with most of them including participants exceeding 6 months of stroke incidence. When insole was used as compelled body weight shifting method, pooled statistical analysis revealed significant improvement in gait velocity [standardized mean difference (SMD) = 0.67; 95% confidence interval (CI): 0.31, 1.02; P  = 0.0003], cadence (SMD = 0.67; 95% CI: 0.16, 1.18; P  = 0.01] and stride length (SMD = 1.11; 95% CI: 0.57, 1.65; P  < 0.0001), while no significant effect on step length (SMD = 0.48; 95% CI: -0.37, 1.33; P  = 0.27). Pooled statistical analysis of balance outcomes revealed significant improvement in weight-bearing symmetry balance (SMD = 0.82; 95% CI: 0.25, 1.39; P  = 0.005) and long-term improvement in Berg Balance Scale (SMD = 1.19; 95% CI: 0.19, 2.20; P  = 0.02), while no difference was observed in balance confidence (SMD = 0.44; 95% CI: -0.15, 1.04; P  = 0.14) and sensorimotor functions (SMD = 0.36; 95% CI -0.39, 1.11; P  = 0.35). Insoles significantly improved spatiotemporal gait parameters, gait symmetry, and static balance compared with traditional physical therapy alone.

OBJECTIVE: This systematic review aims to examine the effects of task-oriented (TO) training on gait function in people with multiple sclerosis (MS) and to determine the most effective TO training protocol.
METHODS: We searched PubMed, Web of Science, Scopus, EMBASE, REHABDATA, and PEDro for studies that examined the effects of TO on gait ability (i.e., gait velocity, gait endurance, functional mobility) in people with MS from 1971 to October 2022. The quality of the selected studies was estimated using the Physiotherapy Evidence Database (PEDro) scale.
RESULTS: Nine studies met the eligibility criteria. A total of 199 people with MS, 58.79% of whom were women, were included. Five studies revealed \"good\" quality, one revealed \"fair\", and three exhibited \"poor\" quality. Four studies administered TO training alone, and five combined TO training with conventional physiotherapy. The selected studies showed varied results for the influences of TO training on gait ability in people with MS.
CONCLUSIONS: The evidence for the impact of TO training on people with MS was limited. The optimal TO training protocol stills vague. Further studies with larger sample sizes are needed.

BACKGROUND: Parkinson\'s disease (PD) is a neurodegenerative disorder characterized by motor impairments, especially in the area of gait disturbances. Physiotherapy, with a focus on task-specific training, has demonstrated a level of efficacy as regards alleviating symptoms and enhancing functional capabilities in individuals with PD. Repetitive Transcranial Magnetic Stimulation (rTMS) has emerged as a potential therapeutic intervention for improving motor functions in individuals with PD.
OBJECTIVE: This review article aims to investigate the effects of combining rTMS with task-specific training on gait performance in individuals with PD.
METHODS: PubMed, Physiotherapy Evidence Database (PEDro), and Scopus were all searched for relevant studies. The focus of the search was on studies that investigated the efficacy of combining rTMS with task-specific training to improve gait performance in individuals with PD.
RESULTS: Four studies were identified as fulfilling the eligibility criteria and were included in the study. The combination of rTMS with specific treadmill training and weight-bearing exercises can significantly enhance walking efficiency, including improvements in walking speed, self-mobility, and step rate. In addition, the combination of rTMS and task-specific training, such as treadmill-based training, shows promise in enhancing gait performance in individuals with PD.
CONCLUSIONS: High-frequency rTMS targeting the primary motor cortex (or M1) can result in improved walking speed, self-mobility, and step rate. However, limited research exists regarding low-frequency stimulation of the supplementary motor area (SMA) in individuals with gait issues. Further research is required to determine the optimal parameters of rTMS, such as strength, frequency, and duration of stimulation and it is worth considering the incorporation of additional training modalities, including cognitive exercises.

BACKGROUND: Body weight support (BWS) training devices are frequently used to improve gait in individuals with neurological impairments, but guidance in selecting an appropriate level of BWS is limited. Here, we aim to describe the initial BWS levels used during gait training, the rationale for this selection and the clinical goals aligned with BWS training for different diagnoses.
METHODS: A systematic literature search was conducted in PubMed, Embase and Web of Science, including terms related to the population (individuals with neurological disorders), intervention (BWS training) and outcome (gait). Information on patient characteristics, type of BWS device, BWS level and training goals was extracted from the included articles.
RESULTS: Thirty-three articles were included, which described outcomes using frame-based (stationary or mobile) and unidirectional ceiling-mounted devices on four diagnoses (multiple sclerosis (MS), spinal cord injury (SCI), stroke, traumatic brain injury (TBI)). The BWS levels were highest for individuals with MS (median: 75%, IQR: 6%), followed by SCI (median: 40%, IQR: 35%), stroke (median: 30%, IQR: 4.75%) and TBI (median: 15%, IQR: 0%). The included studies reported eleven different training goals. Reported BWS levels ranged between 30 and 75% for most of the training goals, without a clear relationship between BWS level, diagnosis, training goal and rationale for BWS selection. Training goals were achieved in all included studies.
CONCLUSIONS: Initial BWS levels differ considerably between studies included in this review. The underlying rationale for these differences was not clearly motivated in the included studies. Variation in study designs and populations does not allow to draw a conclusion on the effectiveness of BWS levels. Hence, it remains difficult to formulate guidelines on optimal BWS settings for different diagnoses, BWS devices and training goals. Further efforts are required to establish clinical guidelines and to experimentally investigate which initial BWS levels are optimal for specific diagnoses and training goals.

BACKGROUND: Developments in vision-based systems and human pose estimation algorithms have the potential to detect, monitor and intervene early on neurodegenerative diseases through gait analysis. However, the gap between the technology available and actual clinical practice is evident as most clinicians still rely on subjective observational gait analysis or objective marker-based analysis that is time-consuming.
OBJECTIVE: This paper aims to examine the main developments of vision-based motion capture and how such advances may be integrated into clinical practice.
METHODS: The literature review was conducted in six online databases using Boolean search terms. A commercial system search was also included. A predetermined methodological criterion was then used to assess the quality of the selected articles.
RESULTS: A total of seventeen studies were evaluated, with thirteen studies focusing on gait classification systems and four studies on gait measurement systems. Of the gait classification systems, nine studies utilized artificial intelligence-assisted techniques, while four studies employed statistical techniques. The results revealed high correlations of gait features identified by classifier models with existing clinical rating scales. These systems demonstrated generally high classification accuracies and were effective in diagnosing disease severity levels. Gait measurement systems that extract spatiotemporal and kinematic joint information from video data generally found accurate measurements of gait parameters with low mean absolute errors, high intra- and inter-rater reliability.
CONCLUSIONS: Low cost, portable vision-based systems can provide proof of concept for the quantification of gait, expansion of gait assessment tools, remote gait analysis of neurodegenerative diseases and a point of care system for orthotic evaluation. However, certain challenges, including small sample sizes, occlusion risks, and selection bias in training models, need to be addressed. Nevertheless, these systems can serve as complementary tools, equipping clinicians with essential gait information to objectively assess disease severity and tailor personalized treatment for enhanced patient care.