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Background Repetitive task practice reduces mean upper extremity motor impairment in populations of patients with chronic stroke, but individual response is highly variable. A method to predict meaningful reduction in impairment in response to training based on biomarkers and other data collected prior to an intervention is needed to establish realistic rehabilitation goals and to effectively allocate resources. Objectives To identify prognostic factors and better understand the biological substrate for reductions in arm impairment in response to repetitive task practice among patients with chronic (≥6 months) post-stroke hemiparesis. Methods The intervention is a form of repetitive task practice using a combination of robot-assisted therapy and functional arm use in real-world tasks. Baseline measures include the Fugl-Meyer Assessment, Wolf Motor Function Test, Action Research Arm Test, Stroke Impact Scale, questionnaires on pain and expectancy, MRI, transcranial magnetic stimulation, kinematics, accelerometry, and genomic testing. Results Mean increase in FM-UE was 4.6 ± 1.0 SE, median 2.5. Approximately one-third of participants had a clinically meaningful response to the intervention, defined as an increase in FM ≥ 5. The selected logistic regression model had a receiver operating curve with AUC = .988 (Std Error = .011, 95% Wald confidence limits: .967–1) showed little evidence of overfitting. Six variables that predicted response represented impairment, functional, and genomic measures. Conclusion A simple weighted sum of 6 baseline factors can accurately predict clinically meaningful impairment reduction after outpatient intensive practice intervention in chronic stroke. Reduction of impairment may be a critical first step to functional improvement. Further validation and generalization of this model will increase its utility in clinical decision-making.

Background Physical rehabilitation services are an important component of treatment for persons with multiple sclerosis (PwMS) to improve and maintain physical mobility. However, PwMS often have significant barriers to outpatient physical therapy (PT) services including mobility deficits and lack of transportation. The integration of exercise gaming (exergaming) and telehealth into clinical PT practices may overcome these barriers. The overarching purpose of this pilot study was to evaluate the acceptability and effects of an individualized telePT intervention using exergaming. Methods Ten individuals with multiple sclerosis (MS) completed a 12-week exergaming (Jintronix®) telerehabilitation intervention. In order to measure the acceptability of the telerehabilitation intervention, adherence was measured through the tablet-based rehabilitation software and each participant completed a satisfaction questionnaire. Clinical outcome measures were assessed at baseline and post-intervention. To evaluate the efficacy of this intervention, the following measures of physical function and fatigue were included; the Short Physical Performance Battery (SPPB), 25-Foot Walk (25FW), Modified Fatigue Impact Scale (MFIS), Multiple Sclerosis Walking Scale-12 (MSWS), and the 2-Minute Walk Test (2MWT). Clinical outcomes were analyzed using the Sign test and Wilcoxon signed rank test. All other data were evaluated using descriptive statistics. Results After the intervention, participants demonstrated significant improvements in ambulation speed during the 25FW (p = 0.04) and ambulation distance during the 2MWT (p = 0.002). Statistically significant increases of SPPB total score (p = .04) and sub-scores were also found. Participants did not demonstrate significant changes in the MFIS (p = 0.31) or MSWS-12 (p = 0.06) after the intervention. Participants had a 58.3% adherence rate during the intervention and performed their exercise program an average of 2.5 times per week. All participants reported that they were either ‘satisfied or ‘very satisfied’ with their telerehabilitation experience, would use telerehabilitation again, and would recommend telerehabilitation to others. Conclusion This individualized telerehabilitation intervention which integrates exergaming and clinical video teleconferencing is acceptable to patients and may offer a viable alternative to traditional PT for PwMS. Trial registration NCT03655431, retrospectively registered on August 31st, 2018.

Background: Stroke-related ankle dysfunction due to hemiparesis has a profound negative impact on gait biomechanics and walking. Task-oriented treadmill training improves gait velocity but does not lead to restitution of ankle function. Advances in robotic technology have led to the development of an adaptive ankle robot that can be integrated into treadmill walking and provide precisely timed graded assistance consistent with motor learning approaches. The aim of this study was to compare the effectiveness of a 6-week treadmill-integrated adaptive ankle robot (TMR) training to 6-weeks of treadmill training (TM) alone on improved paretic ankle motor control and gait performance. Methods: This was a single-blind (evaluator-blinded) randomized controlled trial. 45 participants received either TMR or TM training 3 times per week for 6 weeks. Primary outcomes were improved peak paretic ankle dorsiflexion (DF) angle at swing, improved DF angle at foot strike (weight acceptance), and increased gait velocity during self-selected over-ground walking. The primary analysis was based on intention-to-treat using a longitudinal regression model. An additional sub-set analysis of subjects with biomechanically defined foot drop was performed. Results: There were no significant post-training ankle dorsiflexion or gait velocity differences between groups. Six-week post-training mean peak paretic DF swing angle was (4.84 ± 6.83; 4.2 ± 6.83 p=0.63) and DF angle at foot strike was (-0.70 ± 6.55; -0.46 ± 5.70 p=0.84) respectively for TMR and TM. Gait velocity gains were similar and TMR had a mean increase of 0.54 m/s ± 0.24 and TM increased 0.56 m/s ±0.32. p=0.48 post-training.Conclusion: Integrating adaptive ankle robotics into task-specific locomotor training was not significantly better than treadmill training alone. Both interventions improved gait velocity. Promising results in ankle motor control were seen in a subset of subjects with biomechanically defined foot drop that warrants further investigation. Clinical Trial Registration: Clinical trials.gov id: NCT02483676. Registered June 29, 2015, https://clinicaltrials.gov/ct2/show/NCT02483676

Objective To quantitatively determine levels of upper extremity movement impairment by using a cluster analysis of the Fugl-Meyer Assessment of the Upper Extremity (FMA-UE) with and without reflex items. Design Secondary analysis. Setting University and research centers. Participants Individuals (N=247) with chronic stroke (>6mo poststroke). Interventions Not applicable. Main Outcome Measures Cutoff scores defined by FMA-UE total scores of clusters identified by 2 hierarchical cluster analyses performed on the full sample of FMA-UE individual item scores (with and without reflexes). Patterns of motor function defined by aggregate item scores of clusters. Results FMA-UE scores ranged from 2 to 63 (mean, 26.9±15.7) with reflex items and from 0 to 57 (mean, 22.1±15.3) without reflex items. Three clusters were identified. The distributions of the FMA-UE scores revealed considerable overlap between the clusters; therefore, 4 distinct stroke impairment levels were derived. Conclusions For chronic stroke, the cluster analysis of the FMA-UE supports either a 3- or a 4-impairment level classification scheme.

Background. Robot-assisted therapy provides high-intensity arm rehabilitation that can significantly reduce stroke-related upper extremity (UE) deficits. Motor improvement has been shown at the joints trained, but generalization to real-world function has not been profound. Objective. To investigate the efficacy of robot-assisted therapy combined with therapist-assisted task training versus robot-assisted therapy alone on motor outcomes and use in participants with moderate to severe chronic stroke-related arm disability. Methods. This was a single-blind randomized controlled trial of two 12-week robot-assisted interventions; 45 participants were stratified by Fugl-Meyer (FMA) impairment (mean 21 ± 1.36) to 60 minutes of robot therapy (RT; n = 22) or 45 minutes of RT combined with 15 minutes therapist-assisted transition-to-task training (TTT; n = 23). The primary outcome was the mean FMA change at week 12 using a linear mixed-model analysis. A subanalysis included the Wolf Motor Function Test (WMFT) and Stroke Impact Scale (SIS), with significance P

BACKGROUND: Robots designed for rehabilitation of the upper extremity after stroke facilitate high rates of repetition during practice of movements and record precise kinematic data, providing a method to investigate motor recovery profiles over time.OBJECTIVE: To determine how motor recovery profiles during robotic interventions provide insight into improving clinical gains.METHODS: A convenience sample (n = 22), from a larger randomized control trial, was taken of chronic stroke participants completing 12 sessions of arm therapy. One group received 60 minutes of robotic therapy (Robot only) and the other group received 45 minutes on the robot plus 15 minutes of translation-to-task practice (Robot + TTT). Movement time was assessed using the robot without powered assistance. Analyses (ANOVA, random coefficient modeling [RCM] with 2-term exponential function) were completed to investigate changes across the intervention, between sessions, and within a session.RESULTS: Significant improvement (P < .05) in movement time across the intervention (pre vs post) was similar between the groups but there were group differences for changes between and within sessions (P < .05). The 2-term exponential function revealed a fast and slow component of learning that described performance across consecutive blocks. The RCM identified individuals who were above or below the marginal model.CONCLUSIONS: The expanded analyses indicated that changes across time can occur in different ways but achieve similar goals and may be influenced by individual factors such as initial movement time. These findings will guide decisions regarding treatment planning based on rates of motor relearning during upper extremity stroke robotic interventions.

Introduction: Intensive task practice assisted by robots is a promising treatment for hemiparesis after stroke. However, not all respond to the treatment, so a better patient selection method is needed. Previous studies have shown that motor cortical responsiveness to transcranial magnetic stimulation (TMS) may predict gains from practice and may change with those gains. Hypotheses: In the first study, we hypothesized that more intact motor cortical pathways would predict better response to treatment, and that motor cortical excitability would increase when motor function improved. In the second study we had the same hypotheses, and: Motor cortical excitability would increase during a single session of intensive therapy, and that this increase would itself predict gains in motor function. Methods: Study 1: participants in trials of upper extremity robotic rehabilitation in chronic stroke were recruited to have TMS measures for extensor digitorum communis (EDC) and biceps muscles before and after the therapeutic intervention, which consisted of 6-12 wks. of intensive rehabilitation for 3 hr. each wk., using either robotics or more conventional methods. TMS measures included motor maps, threshold, recruitment curves, and ipsilateral silent period. Study 2: all participants received 12 wks. of a newly optimized robotic training, with or without functional task practice. In addition to TMS measures before and after the intervention, participants had the same measures before and after one of the first sessions of therapy using a particular robot. Results: Study 1: (N=13) TMS thresholds in the EDC was lowered in 6/8 and recruitment curve threshold increased in 5 /8 with measurable responses after treatment, particularly in one participant with an 18 point increase in upper extremity Fugl-Meyer (FM) score. MEP presence showed a non-significant trend towards prediction of functional response (3.3 higher FM gain) even when baseline FM was included in the analysis. Study 2: While this is an ongoing study and outcome data are not available, motor threshold fell in the EDC after 1 hr. of robotic therapy for one participant and an MEP was present only after a therapy session for another. Conclusion: TMS measures in multiple muscles in moderately impaired stroke patients are feasible for rehabilitation trials and may be valuable both for prediction of response to therapy as well as demonstrating mechanisms of motor function improvement.

Conroy SS, Whitall J, Dipietro L, Jones-Lush LM, Zhan M, Finley MA, Wittenberg GF, Krebs HI, Bever CT. Effect of gravity on robot-assisted motor training after chronic stroke: a randomized trial. Objectives To determine the efficacy of 2 distinct 6-week robot-assisted reaching programs compared with an intensive conventional arm exercise program (ICAE) for chronic, stroke-related upper-extremity (UE) impairment. To examine whether the addition of robot-assisted training out of the horizontal plane leads to improved outcomes. Design Randomized controlled trial, single-blinded, with 12-week follow-up. Setting Research setting in a large medical center. Participants Adults (N=62) with chronic, stroke-related arm weakness stratified by impairment severity using baseline UE motor assessments. Interventions Sixty minutes, 3 times a week for 6 weeks of robot-assisted planar reaching (gravity compensated), combined planar with vertical robot-assisted reaching, or intensive conventional arm exercise program. Main Outcome Measure UE Fugl-Meyer Assessment (FMA) mean change from baseline to final training. Results All groups showed modest gains in the FMA from baseline to final with no significant between group differences. Most change occurred in the planar robot group (mean change ± SD, 2.94±0.77; 95% confidence interval [CI], 1.40–4.47). Participants with greater motor impairment (n=41) demonstrated a larger difference in response (mean change ± SD, 2.29±0.72; 95% CI, 0.85–3.72) for planar robot-assisted exercise compared with the intensive conventional arm exercise program (mean change ± SD, 0.43±0.72; 95% CI, –1.00 to 1.86). Conclusions Chronic UE deficits because of stroke are responsive to intensive motor task training. However, training outside the horizontal plane in a gravity present environment using a combination of vertical with planar robots was not superior to training with the planar robot alone.

Background Effective rehabilitative therapies are needed for patients with long-term deficits after stroke. Methods In this multicenter, randomized, controlled trial involving 127 patients with moderate-to-severe upper-limb impairment 6 months or more after a stroke, we randomly assigned 49 patients to receive intensive robot-assisted therapy, 50 to receive intensive comparison therapy, and 28 to receive usual care. Therapy consisted of 36 1-hour sessions over a period of 12 weeks. The primary outcome was a change in motor function, as measured on the Fugl-Meyer Assessment of Sensorimotor Recovery after Stroke, at 12 weeks. Secondary outcomes were scores on the Wolf Motor Function Test and the Stroke Impact Scale. Secondary analyses assessed the treatment effect at 36 weeks. Results At 12 weeks, the mean Fugl-Meyer score for patients receiving robot-assisted therapy was better than that for patients receiving usual care (difference, 2.17 points; 95% confidence interval [CI], −0.23 to 4.58) and worse than ...