Restoring initial steps by intermittent theta burst stimulation in complete spinal cord injury patient: a case report.

INTRODUCTION: Spinal cord injury (SCI) causes damage to neurons and results in motor and sensory dysfunction. Intermittent theta burst stimulation (iTBS) has been used to induce neuronal and synaptic plasticity by applying a magnetic field in the brain. The plasticity induced in the cortex has an imperative role in the recovery of motor and sensory functioning. However, the effect of iTBS in complete SCI patients is still elusive. CASE PRESENTATION: We report here the case of a 27-year-old female who sustained an L1 complete spinal cord injury (SCI) with an ASIA score of A. The patient lost all the sensory and motor functions below the level of injury. Intermittent theta burst stimulation (iTBS) was administered at 80% of the resting motor threshold over the M1 motor cortex, along with intensive rehabilitation training to promote sensorimotor function. DISCUSSION: There was a partial recovery in functional, electrophysiological, and neurological parameters. The case report also demonstrates the safety and efficacy of iTBS in complete SCI patients. No adverse event has been observed in the patient during intervention sessions.

Electrodiagnosis for mitigating false-negative non-responsiveness in electrical evoked contractions: A case series exploring probable polyneuromyopathy induced by nonuse.

INTRODUCTION: The revised international standards for neurological classification of spinal cord injury (ISNCSCI) have facilitated the documentation of non-spinal cord injury-related impairments, such as chronic peripheral nerve injuries and muscle weakness due to immobility. This advancement addresses potential biases in muscle strength examinations. Utilizing electrically evoked contractions from paralyzed muscles, enhanced by electrodiagnosis, holds promise in identifying false-negative diagnoses of non-responsiveness to neuromuscular electrical stimulation. This concept prompts the exploration of polyneuromyopathy arising from nonuse in paralyzed muscles. CASE SERIES PRESENTATION: To substantiate our hypothesis, we recruited nine participants for a case series aimed at elucidating the potential benefits of incorporating the stimulus electrodiagnostic test (SET) to mitigate non-responsiveness during preparation for functional electrical stimulation (FES)-assisted cycling. In our convenience sample (n = 5), we conducted neurological mapping based on ISNCSCI and applied SET on the quadriceps. The SET guided optimal dosimetry for evoking contractions and revealed responses similar to those observed in peripheral neuropathies, with α coefficients equal to or lower than 2.00. This observation is likely attributable to nonuse of paralyzed muscles, indicative of an ongoing polyneuropathy in individuals with chronic spinal cord injury (SCI). DISCUSSION: Among the nine initially recruited subjects, seven exhibited responsiveness to neuromuscular electrical stimulation (78% responsiveness), with two participants excluded based on exclusion criteria. In the final five reported cases, all displayed α coefficient values indicating impaired neuromuscular accommodation, and one presented no α coefficient within the normal range. The inclusion of electrodiagnosis appears effective in averting non-responsiveness, suggesting the presence of ongoing polyneuropathies in paralyzed muscles.

Amplify Gait to Improve Locomotor Engagement in Spinal Cord Injury (AGILE SCI) trial: study protocol for an assessor blinded randomized controlled trial.

BACKGROUND: Among ambulatory people with incomplete spinal cord injury (iSCI), balance deficits are a primary factor limiting participation in walking activities. There is broad recognition that effective interventions are needed to enhance walking balance following iSCI. Interventions that amplify self-generated movements (e.g., error augmentation) can accelerate motor learning by intensifying sensorimotor feedback and facilitating exploration of motor control strategies. These features may be beneficial for retraining walking balance after iSCI. We have developed a cable-driven robot that creates a movement amplification environment during treadmill walking. The robot applies a continuous, laterally-directed, force to the pelvis that is proportional in magnitude to real-time lateral velocity. Our purpose is to investigate the effects of locomotor training in this movement amplification environment on walking balance. We hypothesize that for ambulatory people with iSCI, locomotor training in a movement amplification environment will be more effective for improving walking balance and participation in walking activities than locomotor training in a natural environment (no applied external forces). METHODS: We are conducting a two-arm parallel-assignment intervention. We will enroll 36 ambulatory participants with chronic iSCI. Participants will be randomized into either a control or experimental group. Each group will receive 20 locomotor training sessions. Training will be performed in either a traditional treadmill environment (control) or in a movement amplification environment (experimental). We will assess changes using measures that span the International Classification of Functioning, Disability and Health (ICF) framework including 1) clinical outcome measures of gait, balance, and quality of life, 2) biomechanical assessments of walking balance, and 3) participation in walking activities quantified by number of steps taken per day. DISCUSSION: Training walking balance in people with iSCI by amplifying the individual's own movement during walking is a radical departure from current practice and may result in new strategies for addressing balance impairments. Knowledge gained from this study will expand our understanding of how people with iSCI improve walking balance and how an intervention targeting walking balance affects participation in walking activities. Successful outcomes could motivate development of clinically feasible tools to replicate the movement amplification environment within clinical settings. TRIAL REGISTRATION: NCT04340063.

Non-adherence to follow-up care in persons with spinal cord injury within 10 years after initial rehabilitation.

OBJECTIVE: This study aimed to describe the temporal dynamics of and risk factors for non-adherence to outpatient follow-up care in the first 10 years after spinal cord injury. DESIGN: Retrospective single-centre cohort study using data from medical records and municipal resident registers. SUBJECTS/PATIENTS: Patients admitted to a specialized spinal cord injury centre in Switzerland discharged between 1 January 2010 and 31 December 2012 (n = 225). Time-to-event analysis was used to investigate the timing of the first non-adherence event, its association with spinal cord injury, and sociodemographic characteristics. RESULTS: 36% of patients were adherent to annual follow-up appointments; 2% formally transferred to another SCI centre; 44% were non-adherent for general reasons (patient's will to discontinue care [12%] or unknown reasons [32%]); and 18% were non-adherent due to death. Risk factors for non-adherence included older age, lack of long-term partner, and more than 2 h of travel time to the clinic. In the youngest age group (18-30 years), 55% were non-adherent after 10 years. CONCLUSION: A relevant proportion of individuals with spinal cord injury were lost to annual follow-up care. A holistic approach to patient engagement integrating solutions such as telemedicine and involvement of support networks could reduce the risk of non-adherence.

Effectiveness of virtual-walking intervention combined with exercise on improving pain and function in incomplete spinal cord injury: a feasibility study.

STUDY DESIGN: A feasibility pilot study. OBJECTIVE: To assess the feasibility a full-scale Randomized Controlled Trial aimed at assessing the beneficial effect of a Virtual Walking (VW)-based (Experimental intervention (EI)) on neuropathic pain and functionality in people with incomplete spinal cord injury (SCI). SETTING: A hospital service (Hospital Universitario y Politécnico La Fe) and disability associations (TetraSport, CODIFIVA and ASPAYM). METHODS: Twelve people with chronic incomplete SCI were randomized to EI (VW plus therapeutic exercise program (TE)) -or Control Intervention (CI (placebo VW and TE)) groups. A six-week intervention (3 sessions/week) was carried out. To assess feasibility, the following outcomes were used: level of restriction and validity of inclusion and exclusion criteria, participants' compliance, accessibility and acceptability of the intervention for participants, adequate pre-training time of physiotherapists. To explore therapy effectiveness, pain severity, and interference, mean and maximum isometric strength, walking speed, and walking ability were assessed before (Time 1, T1) and after (Time 2, T2) the intervention. RESULTS: 20% of the participants initially recruited did not meet inclusion criteria. In addition, all participants completed at least 80% of the intervention sessions and none of the participants dropped out before T2. No serious adverse event was found. Moreover, 91.67% of participants were willing to perform the intervention again and all therapists involved were adequately pre-trained. Finally, our preliminary results suggest that the proposed EI is effective. CONCLUSION: A full-scale RCT is feasible and preliminary results suggest that VW with TE could have a beneficial impact on pain and functionality in this population.

Data-driven prediction of spinal cord injury recovery: An exploration of current status and future perspectives.

Spinal Cord Injury (SCI) presents a significant challenge in rehabilitation medicine, with recovery outcomes varying widely among individuals. Machine learning (ML) is a promising approach to enhance the prediction of recovery trajectories, but its integration into clinical practice requires a thorough understanding of its efficacy and applicability. We systematically reviewed the current literature on data-driven models of SCI recovery prediction. The included studies were evaluated based on a range of criteria assessing the approach, implementation, input data preferences, and the clinical outcomes aimed to forecast. We observe a tendency to utilize routinely acquired data, such as International Standards for Neurological Classification of SCI (ISNCSCI), imaging, and demographics, for the prediction of functional outcomes derived from the Spinal Cord Independence Measure (SCIM) III and Functional Independence Measure (FIM) scores with a focus on motor ability. Although there has been an increasing interest in data-driven studies over time, traditional machine learning architectures, such as linear regression and tree-based approaches, remained the overwhelmingly popular choices for implementation. This implies ample opportunities for exploring architectures addressing the challenges of predicting SCI recovery, including techniques for learning from limited longitudinal data, improving generalizability, and enhancing reproducibility. We conclude with a perspective, highlighting possible future directions for data-driven SCI recovery prediction and drawing parallels to other application fields in terms of diverse data types (imaging, tabular, sequential, multimodal), data challenges (limited, missing, longitudinal data), and algorithmic needs (causal inference, robustness).

The Effect of 12 Weeks of Rebound Therapy Exercise Training on Walking Ability of Spinal Cord Injury Patients.

Background: Walking ability is a crucial factor for recovery and rehabilitation of spinal cord injury (SCI) patients. Objectives: The aim of this study was to investigate the effect of 12 weeks of rebound therapy on walking parameters in SCI patients. Methods: Thirty members of Isfahan Spinal Cord Injury Association participated in this experimental study using a convenience sampling method. This study was approved by the ethics committee of the University of Isfahan (IR.UI.REC.1400.118). The participants were randomly assigned to control and rebound groups using a matched randomization method. Data were collected before and after 12 weeks of rebound therapy exercise (three sessions per week) in the walking laboratory, using a seven-camera 3D motion capturing system (Qualisys motion analysis). The final data were analyzed using repeated measures ANOVA in SPSS software (significance level p < .05). Results: Rebound therapy training significantly improved all dependent variables (p < .05) except hip rotation, indicating its effectiveness for enhancing walking ability. Conclusion: Given the importance of walking function, we recommend the use of rebound therapy training as an exercise rehabilitation method for spinal cord injury patients.

Predicting Complete versus Incomplete Long-Term Functional Independence after Acute AIS Grade D Spinal Cord Injury: A Prospective Cohort Study.

Background: The proportion of patients with American Spinal Injury Association Impairment Scale (AIS) grade D traumatic spinal cord injuries (tSCI) is increasing. Although initial motor deficits can be relatively mild, some individuals fail to recover functional independence. Objectives: This study aims to identify factors associated with failure to reach complete functional independence after AIS grade D tSCI. Methods: An observational prospective cohort study was conducted at a level 1 trauma center specialized in SCI care. A prospective cohort of 121 individuals with an AIS-D tSCI was considered. The baseline characteristics, length of acute stay, need for inpatient rehabilitation, and 12-month functional status were assessed. Univariate and classification and regression tree (CART) analyses were performed to identify factors associated with reaching complete versus incomplete functional independence (defined as perfect total SCIM III score at 12-month follow-up). Results: There were 69.3%, 83.3%, and 61.4% individuals reaching complete independence in self-care, respiration/sphincter management, and mobility, respectively. A total of 64 individuals (52%) reached complete functional independence in all three domains. In the CART analysis, we found that patients are more likely to achieve complete functional independence when they have a baseline motor score ≥83 (65% individuals) and if they present fewer medical comorbidities (70% individuals if Charlson Comorbidity Index [CCI] ≤4). Conclusion: About half of individuals with AIS grade D tSCI can expect complete long-term functional independence. It is important to recognize early during acute care individuals with baseline motor score <83 or a high burden of comorbidities (CCI ≥5) to optimize their rehabilitation plan.

Trans-spinal magnetic stimulation combined with kinesiotherapy as a new method for enhancing functional recovery in patients with spinal cord injury due to neuromyelitis optica: a case report.

BACKGROUND: Experimental studies have shown that repetitive trans-spinal magnetic stimulation (TsMS) decreases demyelination and enables recovery after spinal cord injury (SCI). However, the usefulness of TsMS in humans with SCI remains unclear. Therefore, the main objective of this study is to evaluate the effects of TsMS combined with kinesiotherapy on SCI symptoms. We describe a protocol treatment with TsMS and kinesiotherapy in a patient with SCI due to neuromyelitis optica (NMO)-associated transverse myelitis. CASE PRESENTATION: A 23-year-old white male with NMO spectrum disorders started symptoms in 2014 and included lumbar pain evolving into a mild loss of strength and sensitivity in both lower limbs. Five months later, the symptoms improved spontaneously, and there were no sensorimotor deficits. Two years later, in 2016, the symptoms recurred with a total loss of strength and sensitivity in both lower limbs. Initially, physiotherapy was provided in 15 sessions with goals of motor-sensory recovery and improving balance and functional mobility. Subsequently, TsMS (10 Hz, 600 pulses, 20-seconds inter-trains interval, at 90% of resting motor threshold of the paravertebral muscle) was applied at the 10th thoracic vertebral spinous process before physiotherapy in 12 sessions. Outcomes were assessed at three time points: prior to physiotherapy alone (T-1), before the first session of TsMS combined with kinesiotherapy (T0), and after 12 sessions of TsMS combined with kinesiotherapy (T1). The patient showed a 25% improvement in walking independence, a 125% improvement in balance, and an 18.8% improvement in functional mobility. The Patient Global Impression of Change Scale assessed the patient's global impression of change as 'much improved'. CONCLUSION: TsMS combined with kinesiotherapy may safely and effectively improve balance, walking independence, and functional mobility of patients with SCI due to NMO-associated transverse myelitis.

Empowering High-Level Spinal Cord Injury Patients in Daily Tasks With a Hybrid Gaze and FEMG-Controlled Assistive Robotic System.

Individuals with high-level spinal cord injuries often face significant challenges in performing essential daily tasks due to their motor impairments. Consequently, the development of reliable, hands-free human-computer interfaces (HCI) for assistive devices is vital for enhancing their quality of life. However, existing methods, including eye-tracking and facial electromyogram (FEMG) control, have demonstrated limitations in stability and efficiency. To address these shortcomings, this paper presents an innovative hybrid control system that seamlessly integrates gaze and FEMG signals. When deployed as a hybrid HCI, this system has been successfully used to assist individuals with high-level spinal cord injuries in performing activities of daily living (ADLs), including tasks like eating, pouring water, and pick-and-place. Importantly, our experimental results confirm that our hybrid control method expedites the performance in pick-place tasks, achieving an average completion time of 34.3 s, which denotes a 28.8% and 21.8% improvement over pure gaze-based control and pure FEMG-based control, respectively. With practice, participants experienced up to a 44% efficiency improvement using the hybrid control method. This state-of-the-art system offers a highly precise and reliable intention interface, suitable for daily use by individuals with high-level spinal cord injuries, ultimately enhancing their quality of life and independence.

Transition from rehabilitation hospital to the National Disability Insurance Scheme (NDIS) for people with brain injury and spinal cord injury: a data linkage protocol.

INTRODUCTION: Traumatic brain injury (TBI) and spinal cord injury (SCI) are both major contributors to permanent disability globally, with an estimated 27 million new cases of TBI and 0.93 million new cases of SCI globally in 2016. In Australia, the National Disability Insurance Scheme (NDIS) provides support to people with disability. Reports from the NDIS suggest that the cost of support for people with TBI and SCI has been increasing dramatically, and there is a lack of independent analysis of the drivers of these increases. This data linkage seeks to better understand the participant transition between rehabilitation hospitals and the NDIS and the correlation between functional independence in rehabilitation and resource allocation in the NDIS. METHODS AND ANALYSIS: This is a retrospective, population-based cohort study using Australia-wide NDIS participant data and rehabilitation hospital episode data. The linked dataset provides a comparison of functional independence against which to compare the NDIS resource allocation to people with TBI and SCI. This protocol outlines the secure and separated data linkage approach employed in linking partially identified episode data from the Australasian Rehabilitation Outcomes Centre (AROC) with identified participant data from the NDIS. The linkage employs a stepwise deterministic linkage approach. Statistical analysis of the linked dataset will consider the relationship between the functional independence measure score from the rehabilitation hospital and the committed funding supports in the NDIS plan. This protocol sets the foundation for an ongoing data linkage between rehabilitation hospitals and the NDIS to assist transition to the NDIS. ETHICS AND DISSEMINATION: Ethics approval is from the Macquarie University Human Research Ethics Committee. AROC Data Governance Committee and NDIS Data Management Committee have approved this project. Research findings will be disseminated to key stakeholders through peer-reviewed publications in scientific journals and presentations to clinical and policy audiences via AROC and NDIS.

Assessing the Effect of Cervical Transcutaneous Spinal Stimulation With an Upper Limb Robotic Exoskeleton and Surface Electromyography.

Transcutaneous spinal stimulation (TSS) is a promising rehabilitative intervention to restore motor function and coordination for individuals with spinal cord injury (SCI). The effects of TSS are most commonly assessed by evaluating muscle response to stimulation using surface electromyography (sEMG). Given the increasing use of robotic devices to deliver therapy and the emerging potential of hybrid rehabilitation interventions that combine neuromodulation with robotic devices, there is an opportunity to leverage the on-board sensors of the robots to measure kinematic and torque changes of joints in the presence of stimulation. This paper explores the potential for robotic assessment of the effects of TSS delivered to the cervical spinal cord. We used a four degree-of-freedom exoskeleton to measure the torque response of upper limb (UL) joints during stimulation, while simultaneously recording sEMG. We analyzed joint torque and electromyography data generated during TSS delivered over individual sites of the cervical spinal cord in neurologically intact participants. We show that site-specific effects of TSS are manifested not only by modulation of the amplitude of spinally evoked motor potentials in UL muscles, but also by changes in torque generated by individual UL joints. We observed preferential resultant action of proximal muscles and joints with stimulation at the rostral site, and of proximal joints with rostral-lateral stimulation. Robotic assessment can be used to measure the effects of TSS, and could be integrated into complex control algorithms that govern the behavior of hybrid neuromodulation-robotic systems.

Automated Hand Prehension Assessment From Egocentric Video After Spinal Cord Injury.

Hand function assessments in a clinical setting are critical for upper limb rehabilitation after spinal cord injury (SCI) but may not accurately reflect performance in an individual's home environment. When paired with computer vision models, egocentric videos from wearable cameras provide an opportunity for remote hand function assessment during real activities of daily living (ADLs). This study demonstrates the use of computer vision models to predict clinical hand function assessment scores from egocentric video. SlowFast, MViT, and MaskFeat models were trained and validated on a custom SCI dataset, which contained a variety of ADLs carried out in a simulated home environment. The dataset was annotated with clinical hand function assessment scores using an adapted scale applicable to a wide range of object interactions. An accuracy of 0.551±0.139, mean absolute error (MAE) of 0.517±0.184, and F1 score of 0.547±0.151 was achieved on the 5-class classification task. An accuracy of 0.724±0.135, MAE of 0.290±0.140, and F1 score of 0.733±0.144 was achieved on a consolidated 3-class classification task. This novel approach, for the first time, demonstrates the prediction of hand function assessment scores from egocentric video after SCI.

Prediction of segmental motor outcomes in traumatic spinal cord injury: Advances beyond sum scores.

BACKGROUND AND OBJECTIVES: Neurological and functional recovery after traumatic spinal cord injury (SCI) is highly challenged by the level of the lesion and the high heterogeneity in severity (different degrees of in/complete SCI) and spinal cord syndromes (hemi-, ant-, central-, and posterior cord). So far outcome predictions in clinical trials are limited in targeting sum motor scores of the upper (UEMS) and lower limb (LEMS) while neglecting that the distribution of motor function is essential for functional outcomes. The development of data-driven prediction models of detailed segmental motor recovery for all spinal segments from the level of lesion towards the lowest motor segments will improve the design of rehabilitation programs and the sensitivity of clinical trials. METHODS: This study used acute-phase International Standards for Neurological Classification of SCI exams to forecast 6-month recovery of segmental motor scores as the primary evaluation endpoint. Secondary endpoints included severity grade improvement, independent walking, and self-care ability. Different similarity metrics were explored for k-nearest neighbor (kNN) matching within 1267 patients from the European Multicenter Study about Spinal Cord Injury before validation in 411 patients from the Sygen trial. The kNN performance was compared to linear and logistic regression models. RESULTS: We obtained a population-wide root-mean-squared error (RMSE) in motor score sequence of 0.76(0.14, 2.77) and competitive functional score predictions (AUCwalker = 0.92, AUCself-carer = 0.83) for the kNN algorithm, improving beyond the linear regression task (RMSElinear = 0.98(0.22, 2.57)). The validation cohort showed comparable results (RMSE = 0.75(0.13, 2.57), AUCwalker = 0.92). We deploy the final historic control model as a web tool for easy user interaction (https://hicsci.ethz.ch/). DISCUSSION: Our approach is the first to provide predictions across all motor segments independent of the level and severity of SCI. We provide a machine learning concept that is highly interpretable, i.e. the prediction formation process is transparent, that has been validated across European and American data sets, and provides reliable and validated algorithms to incorporate external control data to increase sensitivity and feasibility of multinational clinical trials.

Virtual walking therapy in neuropathic spinal cord injury pain: a feasibility study.

STUDY DESIGN: A feasibility study. OBJECTIVES: Chronic neuropathic pain is a prevalent comorbidity in patients with spinal cord injury (SCI), and current medical treatments remain unsatisfactory. New developments as virtual walking are emerging which has been established and further developed at our centre. This study aims to investigate the feasibility of our virtual walking setup in a small group of SCI patients. SETTING: The study was conducted at the Swiss Paraplegic Centre in Nottwil, Switzerland. METHODS: Four patients aged 22 to 60 years were observed during and after therapy. Three had complete paraplegia (levels Th4-Th8) with neuropathic at- and below-level pain, while one had incomplete paraplegia (Th10) with at-level pain. The primary outcome measured was satisfaction with acceptance of and adherence to virtual walking therapy, alongside suggestions for therapy improvements. Additionally, patients kept a pain diary and pain drawings to measure the extent of pain distribution and intensity before and after therapy. Therapy schedules included either two sessions per week for five weeks or five sessions per week for two weeks. RESULTS: There was a sound satisfaction and good acceptance amongst participants. Support, duration, and number of sessions were perceived well and acceptable. Pain as a secondary outcome did not change during or after therapy in all but one patient which improved in pain intensity, pain quality as well as pain distribution. CONCLUSION: Results suggest that our virtual walking setting is a feasible tool that should be further studied in patients with SCI-related chronic neuropathic pain.

Noninvasive Electromagnetic Neuromodulation of the Central and Peripheral Nervous System for Upper-Limb Motor Strength and Functionality in Individuals with Cervical Spinal Cord Injury: A Systematic Review and Meta-Analysis.

(1) Background: Restoring arm and hand function is one of the priorities of people with cervical spinal cord injury (cSCI). Noninvasive electromagnetic neuromodulation is a current approach that aims to improve upper-limb function in individuals with SCI. The aim of this study is to review updated information on the different applications of noninvasive electromagnetic neuromodulation techniques that focus on restoring upper-limb functionality and motor function in people with cSCI. (2) Methods: The Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines were used to structure the search protocol. A systematic review of the literature was performed in three databases: the Cochrane Library, PubMed, and Physiotherapy Evidence Database (PEDro). (3) Results: Twenty-five studies were included: four were on transcranial magnetic stimulation (TMS), four on transcranial direct current stimulation (tDCS), two on transcutaneous spinal cord stimulation (tSCS), ten on functional electrical stimulation (FES), four on transcutaneous electrical nerve stimulation (TENS), and one on neuromuscular stimulation (NMS). The meta-analysis could not be completed due to a lack of common motor or functional evaluations. Finally, we realized a narrative review of the results, which reported that noninvasive electromagnetic neuromodulation combined with rehabilitation at the cerebral or spinal cord level significantly improved upper-limb functionality and motor function in cSCI subjects. Results were significant compared with the control group when tSCS, FES, TENS, and NMS was applied. (4) Conclusions: To perform a meta-analysis and contribute to more evidence, randomized controlled trials with standardized outcome measures for the upper extremities in cSCI are needed, even though significant improvement was reported in each non-invasive electromagnetic neuromodulation study.

Enhancing balance and mobility in incomplete spinal cord injury with an overground gait trainer.

STUDY DESIGN: Prospective intervention study. OBJECTIVES: The study aimed to assess the effect of Andago on balance, overground walking speed, independence levels, fear of falling, and quality of life in patients with acute motor incomplete Spinal Cord Injury. SETTING: The study was conducted in Ankara/Türkiye. METHODS: Five participants, classified as AIS D, underwent an eight-week treatment regimen, including three days a week of Andago-assisted walking and balance exercises, supplemented by two days a week of 40-minute sessions of conventional in-bed exercises. RESULTS: Berg Balance Scale scores increased significantly by 129% (p = 0.043). Overground walking speed calculated from 10MWT improved by 33% (p = 0.042). WISCI II levels improved significantly compared to baseline scores (p = 0.041). In the mobility subscale of SCIM III, the total SCIM III scores increased significantly (p = 0.042, p = 0.043, respectively). However, there was no significant improvement in WHOQOL-BREF scores (p = 0.080). CONCLUSIONS: The use of Andago facilitated functional progress in patients with acute incomplete SCI, emphasizing the importance of challenging balance and walking activities in triggering motor learning.

Systemic Inflammatory Changes in Spinal Cord Injured Patients after Adding Aquatic Therapy to Standard Physiotherapy Treatment.

Spinal cord injury (SCI) is a severe medical condition resulting in substantial physiological and functional consequences for the individual. People with SCI are characterised by a chronic, low-grade systemic inflammatory state, which contributes to further undesirable secondary injuries. This study aimed to evaluate the effect of adding aquatic therapy to the standard physiotherapy treatment, implemented in two different schedules, on systemic inflammation in SCI patients. Additionally, the relationship between cytokine blood levels and changes in functionality (measured with the 6MWT, 10MWT, WISCI, BBS, and TUG tests) throughout the study was assessed. A quantitative multiplexed antibody assay was performed to measure the expression level of 20 pro- and anti-inflammatory cytokines in blood samples from SCI patients at three time points: baseline, week 6, and immediately post-intervention (week 12). This study identified a complex signature of five cytokines (IL-12p70, IL-8, MCP-1, IL-1α, and IP10) associated with the time course of the two physiotherapy programs. Two other cytokines (IL-4 and TNF-α) were also associated with the functional recovery of patients. These could be important indicators for SCI prognosis and provide a basis for developing novel targeted therapies.

Application of a novel nested ensemble algorithm in predicting motor function recovery in patients with traumatic cervical spinal cord injury.

Traumatic cervical spinal cord injury (TCSCI) often causes varying degrees of motor dysfunction, common assessed by the International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI), in association with the American Spinal Injury Association (ASIA) Impairment Scale. Accurate prediction of motor function recovery is extremely important for formulating effective diagnosis, therapeutic and rehabilitation programs. The aim of this study is to investigate the validity of a novel nested ensemble algorithm that uses the very early ASIA motor score (AMS) of ISNCSCI examination to predict motor function recovery 6 months after injury in TCSCI patients. This retrospective study included complete data of 315 TCSCI patients. The dataset consisting of the first AMS at ≤ 24 h post-injury and follow-up AMS at 6 months post-injury was divided into a training set (80%) and a test set (20%). The nested ensemble algorithm was established in a two-stage manner. Support Vector Classification (SVC), Adaboost, Weak-learner and Dummy were used in the first stage, and Adaboost was selected as second-stage model. The prediction results of the first stage models were uploaded into second-stage model to obtain the final prediction results. The model performance was evaluated using precision, recall, accuracy, F1 score, and confusion matrix. The nested ensemble algorithm was applied to predict motor function recovery of TCSCI, achieving an accuracy of 80.6%, a F1 score of 80.6%, and balancing sensitivity and specificity. The confusion matrix showed few false-negative rate, which has crucial practical implications for prognostic prediction of TCSCI. This novel nested ensemble algorithm, simply based on very early AMS, provides a useful tool for predicting motor function recovery 6 months after TCSCI, which is graded in gradients that progressively improve the accuracy and reliability of the prediction, demonstrating a strong potential of ensemble learning to personalize and optimize the rehabilitation and care of TCSCI patients.

Prediction of isometric forces from combined epidural spinal cord and neuromuscular electrical stimulation in the rat lower limb.

Although epidural spinal cord and muscle stimulation have each been separately used for restoration of movement after spinal cord injury, their combined use has not been widely explored. Using both approaches in combination could provide more flexible control compared to using either approach alone, but whether responses evoked from such combined stimulation can be easily predicted is unknown. We evaluate whether responses evoked by combined spinal and muscle stimulation can be predicted simply, as the linear summation of responses produced by each type of stimulation individually. Should this be true, it would simplify the prediction of co-stimulation responses and the development of control schemes for spinal cord injury rehabilitation. In healthy anesthetized rats, we measured hindlimb isometric forces in response to spinal and muscle stimulation. Force prediction errors were calculated as the difference between predicted and observed co-stimulation forces. We found that spinal and muscle co-stimulation could be closely predicted as the linear summation of the individual spinal and muscle responses and that the errors were relatively low. We discuss the implications of these results to the use of combined muscle and spinal stimulation for the restoration of movement following spinal cord injury.