The EXCITE Trial: Predicting a clinically meaningful motor activity log outcome

A Critical Review and Systematic Design Approach for Linkage-Based Gait Rehabilitation Devices

This study aims to provide a comprehensive critical review of the existing body of evidence pertaining to gait rehabilitation. It also seeks to introduce a systematic approach for the development of innovative design solutions in this domain. The field of gait rehabilitation has witnessed a surge in the development of novel robotic devices. This trend has emerged in response to limitations observed in most commercial solutions, particularly regarding their high costs. Consequently, there is a growing need to explore more cost-effective alternatives and create opportunities for greater accessibility. Within the realm of cost-effective options, linkage-based gait trainers have emerged as viable alternatives, prompting a thorough examination of this category, which is carried out in this work. Notably, there is a wide heterogeneity in research approaches and presentation methods. This divergence has prompted discourse regarding the standardization of key elements relevant to the proposals of new linkage-based devices. As a result, this study proposes a comprehensive and standardized design process and offers a brief illustration of the application of this design process through the presentation of a potential new design.

Limitations in utilization and prioritization of standardized somatosensory assessments after stroke: A cross-sectional survey of neurorehabilitation clinicians

BACKGROUND AND PURPOSE

Somatosensory impairments are common after stroke, but receive limited evaluation and intervention during neurorehabilitation, despite negatively impacting functional movement and recovery.

OBJECTIVES

Our objective was to understand the scope of somatosensory assessments used by clinicians in stroke rehabilitation, and barriers to increasing use in clinical practice.

METHODS

An electronic survey was distributed to clinicians (physical therapists, occupational therapists, physicians, and nurses) who assessed at least one individual with stroke in the past 6 months. The survey included questions on evaluation procedures, type, and use of somatosensory assessments, as well as barriers and facilitators in clinical practice.

RESULTS

Clinicians (N = 431) indicated greater familiarity with non-standardized assessments, and greater utilization compared to standardized assessments (p < 0.0001). Components of tactile sensation were the most commonly assessed modality of somatosensation (25%), while proprioception was rarely assessed (1%). Overall, assessments of motor function were prioritized over assessments of somatosensory function (p < 0.0001).

DISCUSSION

Respondents reported assessing somatosensation less frequently than motor function and demonstrated a reliance on rapid and coarse non-standardized assessments that ineffectively capture multi-modal somatosensory impairments, particularly for proprioceptive deficits common post-stroke. In general, clinicians were not familiar with standardized somatosensory assessments, and this knowledge gap likely contributes to lack of translation of these assessments into practice.

CONCLUSIONS

Clinicians utilize somatosensory assessments that inadequately capture the multi-modal nature of somatosensory impairments in stroke survivors. Addressing barriers to clinical translation has the potential to increase utilization of standardized assessments to improve the characterization of somatosensory deficits that inform clinical decision-making toward enhancing stroke rehabilitation outcomes.

A Systematic Review of the Learning Dynamics of Proprioception Training: Specificity, Acquisition, Retention, and Transfer

OBJECTIVE

We aimed to identify key aspects of the learning dynamics of proprioception training including: 1) specificity to the training type, 2) acquisition of proprioceptive skills, 3) retention of learning effects, and 4) transfer to different proprioceptive skills.

METHODS

We performed a systematic literature search using the database (MEDLINE, EMBASE, Cochrane Library, and PEDro). The inclusion criteria required adult participants who underwent any training program that could enhance proprioceptive function, and at least 1 quantitative assessment of proprioception before and after the intervention. We analyzed within-group changes to quantify the effectiveness of an intervention.

RESULTS

In total, 106 studies with 343 participant-outcome groups were included. Proprioception-specific training resulted in large effect sizes with a mean improvement of 23.4 to 42.6%, nonspecific training resulted in medium effect sizes with 12.3 to 22% improvement, and no training resulted in small effect sizes with 5.0 to 8.9% improvement. Single-session training exhibited significant proprioceptive improvement immediately (10 studies). For training interventions with a midway evaluation (4 studies), trained groups improved by approximately 70% of their final value at the midway point. Proprioceptive improvements were largely maintained at a delayed follow-up of at least 1 week (12 studies). Finally, improvements in 1 assessment were significantly correlated with improvements in another assessment (10 studies).

CONCLUSIONS

Proprioceptive learning appears to exhibit several features similar to motor learning, including specificity to the training type, 2 time constant learning curves, good retention, and improvements that are correlated between different assessments, suggesting a possible, common mechanism for the transfer of training.

Robotically quantifying finger and ankle proprioception: Role of range, speed, anticipatory errors, and learning

Proprioception plays a key role in motor control and stroke recovery. Robotic devices are increasingly being used to improve proprioceptive assessments, but there is a lack of knowledge about how programmable factors such as testing range, speed, and prior exposure affect tests. From a physiological standpoint, such factors may regulate the sensitivity of limb proprioceptors, thereby influencing assessment results when not controlled for. To determine the relative influence of such factors, we studied the Crisscross proprioceptive assessment, a recently developed robotic assessment that requires participants to indicate when two joints pass by each other as they are moved passively by the robot. We implemented Crisscross with novel robots for the fingers and ankles and tested young unimpaired participants in single sessions (N = 16) and longitudinally (N = 5, across 15-30 sessions over 3-10 weeks). In single-session testing, we found that proprioceptive acuity was better for the fingers than the ankle (p < 0.01). For both limbs, acuity improved near the ends of the range of motion, which may be due to greater involvement of load and joint receptors. Acuity was poorer for slower movements due to greater anticipatory errors. These results show how the range and speed selected for a proprioceptive test affect proprioceptive acuity and highlight the heightened role of anticipatory errors at slow speeds. Improvements in proprioceptive acuity were not detectable in a single session, but acuity improved across multiple testing sessions (p < 0.01). This result shows that multiple prior exposure over at least several days can affect acuity.Clinical Relevance- Proprioceptive assessments should account for range and speed, which could be enabled by leveraging robotics technology. Proprioceptive acuity can be improved through repeated testing, an observation that is relevant to proprioceptive rehabilitation as well.

Long-term forecasting of a motor outcome following rehabilitation in chronic stroke via a hierarchical bayesian dynamic model

BACKGROUND

Given the heterogeneity of stroke, it is important to determine the best course of motor therapy for each patient, i.e., to personalize rehabilitation based on predictions of long-term outcomes. Here, we propose a hierarchical Bayesian dynamic (i.e., state-space) model (HBDM) to forecast long-term changes in a motor outcome due to rehabilitation in the chronic phase post-stroke.

METHODS

The model incorporates the effects of clinician-supervised training, self-training, and forgetting. In addition, to improve forecasting early in rehabilitation, when data are sparse or unavailable, we use the Bayesian hierarchical modeling technique to incorporate prior information from similar patients. We use HBDM to re-analyze the Motor Activity Log (MAL) data of participants with chronic stroke included in two clinical trials: (1) the DOSE trial, in which participants were assigned to a 0, 15, 30, or 60-h dose condition (data of 40 participants analyzed), and (2) the EXCITE trial, in which participants were assigned a 60-h dose, in either an immediate or a delayed condition (95 participants analyzed).

RESULTS

For both datasets, HBDM accounts well for individual dynamics in the MAL during and outside of training: mean RMSE = 0.28 for all 40 DOSE participants (participant-level RMSE 0.26 ± 0.19-95% CI) and mean RMSE = 0.325 for all 95 EXCITE participants (participant-level RMSE 0.32 ± 0.31), which are small compared to the 0-5 range of the MAL. Bayesian leave-one-out cross-validation shows that the model has better predictive accuracy than static regression models and simpler dynamic models that do not account for the effect of supervised training, self-training, or forgetting. We then showcase model's ability to forecast the MAL of "new" participants up to 8 months ahead. The mean RMSE at 6 months post-training was 1.36 using only the baseline MAL and then decreased to 0.91, 0.79, and 0.69 (respectively) with the MAL following the 1st, 2nd, and 3rd bouts of training. In addition, hierarchical modeling improves prediction for a patient early in training. Finally, we verify that this model, despite its simplicity, can reproduce previous findings of the DOSE trial on the efficiency, efficacy, and retention of motor therapy.

CONCLUSIONS

In future work, such forecasting models can be used to simulate different stages of recovery, dosages, and training schedules to optimize rehabilitation for each person. Trial registration This study contains a re-analysis of data from the DOSE clinical trial ID NCT01749358 and the EXCITE clinical trial ID NCT00057018.

Predicting patient-reported outcome of activities of daily living in stroke rehabilitation: a machine learning study

BACKGROUND

Machine Learning is increasingly used to predict rehabilitation outcomes in stroke in the context of precision rehabilitation and patient-centered care. However, predictors for patient-centered outcome measures for activities and participation in stroke rehabilitation requires further investigation.

METHODS

This study retrospectively analyzed data collected for our previous studies from 124 participants. Machine Learning models were built to predict postintervention improvement of patient-reported outcome measures of daily activities (i.e, the Motor Activity Log and the Nottingham Extended Activities of Daily Living) and participation (i.e, the Activities of Daily Living domain of the Stroke Impact Scale). Three groups of 18 potential predictors were included: patient demographics, stroke characteristics, and baseline assessment scores that encompass all three domains under the framework of International Classification of Functioning, Disability and Health. For each target variable, classification models were built with four algorithms, logistic regression, k-nearest neighbors, support vector machine, and random forest, and with all 18 potential predictors and the most important predictors identified by feature selection.

RESULTS

Predictors for the four target variables partially overlapped. For all target variables, their own baseline scores were among the most important predictors. Upper-limb motor function and selected demographic and stroke characteristics were also among the important predictors across the target variables. For the four target variables, prediction accuracies of the best-performing models with 18 features ranged between 0.72 and 0.96. Those of the best-performing models with fewer features ranged between 0.72 and 0.84.

CONCLUSIONS

Our findings support the feasibility of using Machine Learning for the prediction of stroke rehabilitation outcomes. The study was the first to use Machine Learning to identify important predictors for postintervention improvement on four patient-reported outcome measures of activities and participation in chronic stroke. The study contributes to precision rehabilitation and patient-centered care, and the findings may provide insights into the identification of patients that are likely to benefit from stroke rehabilitation.

A Pilot Randomized Controlled Trial of Botulinum Toxin Treatment Combined with Robot-Assisted Therapy, Mirror Therapy, or Active Control Treatment in Patients with Spasticity Following Stroke

Effects of the combined task-oriented trainings with botulinum toxin A (BoNT-A) injection on improving motor functions and reducing spasticity remains unclear. This study aims to investigate effects of 3 task-oriented trainings (robot-assisted therapy (RT), mirror therapy (MT), and active control treatment (AC)) in patients with stroke after BoNT-A injection. Thirty-seven patients with chronic spastic hemiplegic stroke were randomly assigned to receive RT, MT, or AC following BoNT-A injection over spastic upper extremity muscles. Each session of RT, MT, and AC was 75 min, 3 times weekly, for 8 weeks. Outcome measures were assessed at pretreatment, post-treatment, and 3-month follow-up, involving the Fugl-Meyer Assessment (FMA), Modified Ashworth Scale (MAS), Motor Activity Log (MAL), including amount of use (AOU) and quality of movement (QOM), and arm activity level. All 3 combined treatments improved FMA, MAS, and MAL. The AC induced a greater effect on QOM in MAL at the 3-month follow-up than RT or MT. All 3 combined trainings induced minimal effect on arm activity level. Our findings suggest that for patients with stroke who received BoNT-A injection over spastic UE muscles, the RT, MT, or AC UE training that followed was effective in improving motor functions, reducing spasticity, and enhancing daily function.

Do somatosensory deficits predict efficacy of neurorehabilitation using neuromuscular electrical stimulation for moderate to severe motor paralysis of the upper limb in chronic stroke?

Background:

Various neurorehabilitation programs have been developed to promote recovery from motor impairment of upper extremities. However, the response of patients with chronic-phase stroke varies greatly. Prediction of the treatment response is important to provide appropriate and efficient rehabilitation. This study aimed to clarify whether clinical assessments, such as motor impairments and somatosensory deficits, before treatment could predict the treatment response in neurorehabilitation.

Methods:

The data from patients who underwent neurorehabilitation using closed-loop electromyography (EMG)-controlled neuromuscular electrical stimulation were retrospectively analyzed. A total of 66 patients with chronic-phase stroke with moderate to severe paralysis were included. The changes from baseline in the Fugl-Meyer Assessment–Upper Extremity (FMA-UE) and the Motor Activity Log-14 (MAL-14) of amount of use (AOU) and quality of movement (QOM) were used to assess treatment response, and multivariate logistic regression analysis was performed using the extracted candidate predictors, such as baseline clinical assessments, to identify predictors of FMA-UE and MAL-14 improvement.

Results:

FMA-UE and MAL-14 scores improved significantly after the intervention (FMA-UE p < 0.01, AOU p < 0.01, QOM p < 0.01). On multivariate logistic regression analysis, tactile sensory (p = 0.043) and hand function (p = 0.030) were both identified as significant predictors of FMA-UE improvement, tactile sensory (p = 0.047) was a significant predictor of AOU improvement, and hand function (p = 0.026) was a significant predictor of QOM improvement. The regression equations explained 71.2% of the variance in the improvement of FMA-UE, 69.7% of AOU, and 69.7% of QOM.

Conclusion:

Both motor and tactile sensory impairments predict improvement in motor function, tactile sensory impairment predicts improvement in the amount of paralytic hand use, and motor impairment predicts improvement in the quality of paralytic hand use following neurorehabilitation treatment in patients with moderate to severe paralysis in chronic-phase stroke. These findings may help select the appropriate treatment for patients with more severe paralysis and to maximize the treatment effect.

Selectivity and excitability of upper-limb muscle activation during cervical transcutaneous spinal cord stimulation in humans

Cervical transcutaneous spinal cord stimulation (tSCS) efficacy for rehabilitation of upper-limb motor function was suggested to depend on recruitment of Ia afferents. However, selectivity and excitability of motor activation with different electrode configurations remain unclear. In this study, activation of upper-limb motor pools was examined with different cathode and anode configurations during cervical tSCS in 10 able-bodied individuals. Muscle responses were measured from six upper-limb muscles simultaneously. First, postactivation depression was confirmed with tSCS paired pulses (50-ms interval) for each cathode configuration (C6, C7, and T1 vertebral levels), with anode on the anterior neck. Selectivity and excitability of activation of the upper-limb motor pools were examined by comparing the recruitment curves (10-100 mA) of first evoked responses across muscles and cathode configurations. Our results showed that hand muscles were preferentially activated when the cathode was placed over T1 compared with the other vertebral levels, whereas there was no selectivity for proximal arm muscles. Furthermore, higher stimulation intensities were required to activate distal hand muscles than proximal arm muscles, suggesting different excitability thresholds between muscles. In a separate protocol, responses were compared between anode configurations (anterior neck, shoulders, iliac crests, and back), with one selected cathode configuration. The level of discomfort was also assessed. Largest muscle responses were elicited with the anode configuration over the anterior neck, whereas there were no differences in the discomfort. Our results therefore inform methodological considerations for electrode configuration to help optimize recruitment of Ia afferents during cervical tSCS.NEW & NOTEWORTHY We examined selectivity and excitability of motor activation in multiple upper-limb muscles during cervical transcutaneous spinal cord stimulation with different cathode and anode configurations. Hand muscles were more activated when the cathode was configured over the T1 vertebra compared with C6 and C7 locations. Higher stimulation intensities were required to activate distal hand muscles than proximal arm muscles. Finally, configuration of anode over anterior neck elicited larger responses compared with other configurations.

Predicting Improved Daily Use of the More Affected Arm Poststroke Following Constraint-Induced Movement Therapy

BACKGROUND

Constraint-induced movement therapy (CI therapy) produces, on average, large and clinically meaningful improvements in the daily use of a more affected upper extremity in individuals with hemiparesis. However, individual responses vary widely.

OBJECTIVE

The study objective was to investigate the extent to which individual characteristics before treatment predict improved use of the more affected arm following CI therapy.

DESIGN

This study was a retrospective analysis of 47 people who had chronic (> 6 months) mild to moderate upper extremity hemiparesis and were consecutively enrolled in 2 CI therapy randomized controlled trials.

METHODS

An enhanced probabilistic neural network model predicted whether individuals showed a low, medium, or high response to CI therapy, as measured with the Motor Activity Log, on the basis of the following baseline assessments: Wolf Motor Function Test, Semmes-Weinstein Monofilament Test of touch threshold, Motor Activity Log, and Montreal Cognitive Assessment. Then, a neural dynamic classification algorithm was applied to improve prognostic accuracy using the most accurate combination obtained in the previous step.

RESULTS

Motor ability and tactile sense predicted improvement in arm use for daily activities following intensive upper extremity rehabilitation with an accuracy of nearly 100%. Complex patterns of interaction among these predictors were observed.

LIMITATIONS

The fact that this study was a retrospective analysis with a moderate sample size was a limitation.

CONCLUSIONS

Advanced machine learning/classification algorithms produce more accurate personalized predictions of rehabilitation outcomes than commonly used general linear models.

Predictors of functional and motor outcomes following upper limb robot-assisted therapy after stroke

Robot-assisted therapy is an effective treatment for stroke patients and has recently gained popularity. Clinicians and researchers are trying to identify predictors to stratify patients for ensuring better stroke rehabilitation outcomes. However, previous studies have reported controversial results regarding the predictors of upper limb recovery after robot-assisted therapy. Our objective was to determine whether the demographic and clinical characteristics of stroke patients influence the motor and functional outcomes after robot-assisted therapy. We conducted a retrospective analysis of 48 hemiplegic patients who performed upper limb goal-directed tasks using RAPAEL Smart Glove (Neofect, Gyeonggi-do, Republic of Korea). Robot-assisted therapy was administered for 5 days a week over 4 weeks, and each session was for 30 minutes. The parameters of the primary outcomes after robot-assisted therapy were measured with the manual function test and functional independence measure. Correlation analysis showed that age, initial cognitive function, and the initial manual function test and the Modified Ashworth Scale for upper extremity scores were significant factors for independently predicting functional outcomes after robot-assisted therapy. Linear regression analysis revealed that the initial Mini-Mental State Examination (P < 0.001) and initial manual function test (P < 0.001) scores were significant predictors of the primary outcomes. In conclusion, our study suggests that stroke patients presenting with less spasticity, better initial cognitive function, and better initial motor function have a significant correlation with the functional outcomes after robot-assisted therapy.

Recovery of upper limb function is greatest early after stroke but does continue to improve during the chronic phase: a two-year, observational study

OBJECTIVES

Investigate upper limb (UL) capacity and performance from <14-days to 24-months post stroke.

DESIGN

Longitudinal study of participants with acute stroke, assessed ≤14-days, 6-weeks, 3-, 6-, 12-, 18-, and 24-months post stroke.

SETTING

Two acute stroke units.

MAIN OUTCOME MEASURES

Examination of UL capacity using Chedoke McMaster Stroke Assessment (combined arm and hand scores, 0-14), performance using Motor Activity Log (amount of movement and quality of movement, scored 0-5), and grip strength (kg) using Jamar dynamometer. Random effects regression models were performed to explore the change in outcomes at each time point. Routine clinical imaging was used to describe stroke location as cortical, subcortical or mixed.

RESULTS

Thirty-four participants were enrolled: median age 67.7 years (IQR 60.7-76.2), NIHSS 11.5 (IQR 8.5-16), female n=10 (36%). The monthly rate of change for all measures was consistently greatest in the 6-weeks post baseline. On average, significant improvements were observed to 12-months in amount of use (median improvement 1.81, 95% CI 1.35 to 2.27) and strength (median improvement 8.29, 95% CI 5.90 to 10.67); while motor capacity (median improvement 4.70, 95% CI 3.8 to 5.6) and quality of movement (median improvement 1.83, 95% CI 1.37 to 2.3) improved to 18-months post stroke. Some individuals were still demonstrating gains at 24-months post stroke within each stroke location group.

CONCLUSION

This study highlights that the greatest rate of improvement of UL capacity and performance occurs early post stroke. At the group level, improvements were evident at 12- to 18-months post stroke, but at the individual level improvements were observed at 24-months.

CLINICAL TRIAL REGISTRATION

ACTRN12612000123842.

Predictors of Clinically Important Changes in Actual and Perceived Functional Arm Use of the Affected Upper Limb After Rehabilitative Therapy in Chronic Stroke

OBJECTIVE

To identify the predictors of minimal clinically important changes in actual and perceived functional arm use of the affected upper limb after rehabilitative therapy.

DESIGN

Retrospective, observational cohort study.

SETTING

Outpatient rehabilitation settings.

PARTICIPANTS

A cohort of 94 patients with chronic stroke.

INTERVENTIONS

Patients received robot-assisted therapy, mirror therapy, or combined therapy for 4 weeks.

MAIN OUTCOME MEASURES

The primary outcome measures, assessed pre- and post intervention, included actual functional arm use measured by an accelerometer and perceived functional arm use measured by the Motor Activity Log (MAL). Candidate predictors included age, sex, time after stroke, side of stroke, and scores on the Fugl-Meyer Assessment, Modified Ashworth Scale, Medical Research Council scale, Wolf Motor Function Test, MAL (quality of movement), and Nottingham Extended Activities of Daily Living.

RESULTS

Being male (odds ratio [OR], 3.17; 95% CI, 1.13-8.87) and having a higher than median Medical Research Council score (OR, 2.68; 95% CI, 1.12-6.41) significantly predicted minimal clinically important changes assessed by an accelerometer. Fugl-Meyer Assessment scores (odds ratio, 1.06; 95% CI, 1.02-1.11) were a significant predictor of achieving clinically important changes in MAL amount of use. Wolf Motor Function Test (quality) scores (OR, 3.05; 95% CI, 1.38-6.77) could predict clinically important improvements in MAL quality of movement.

CONCLUSIONS

Predictors of clinically important changes in the use of the affected upper limb after robot-assisted therapy, mirror therapy, or combined therapy in patients with chronic stroke for 4 weeks differ for actual vs perceived use. Further studies are recommended to validate these findings in a larger sample.

Using the Borg rating of perceived exertion scale to grade the intensity of a functional training program of the affected upper limb after a stroke: a feasibility study

Purpose

Intensity of a training program is a critical variable in treatment gains poststroke, but there are no guidelines to adequately dose the intensity of functional training (FT); the recommended type of training to promote poststroke recovery. Such guidelines are made available for strength training (ST) using the 1 repetition maximum (1RM), which has been linked to individuals’ self-rated level of exertion using the Borg rating of perceived exertion (BRPE) scale. The BRPE could be a valuable tool for clinicians to dose FT intensity after a stroke, but this remains to be tested. The main objective of the study was to evaluate the feasibility of the BRPE at grading FT intensity of the affected upper limb in older adults with a chronic stroke and secondarily to explore the clinical changes between FT and ST when the intensity is regulated with BRPE.

Patients and methods

Twelve participants were randomized into a FT or ST group and trained their affected upper limb (3 times/week for 4 weeks) with the intensity standardized with BRPE. Feasibility was assessed by adherence, occurrence of adverse events, and comparison of BRPE ratings between groups. Clinical changes were defined as improvements on the Fugl-Meyer motor assessment (FMA) and Wolf motor function test (WMFT).

Results

All participants adhered to FT/ST without adverse effects, and comparable BRPE ratings were noted between groups throughout the training (P≥0.42). Both groups showed significant gains at the FMA (ST: 5±4 points/FT: 6±4 points; P=0.04) and WMFT (ST: 0.4±0.3 points/FT: 0.6±0.4 points; P=0.05), which were comparable between groups (P≥0.47).

Conclusion

The results suggest that it is feasible to use the BRPE scale to adjust FT intensity. Gains in motor function in both groups suggest that undergoing therapy, regardless of its type, might be a sufficient stimulus to produce gains when intensity is adequately adjusted. Further studies are needed to validate the current observations.

Electrical spinal cord stimulation must preserve proprioception to enable locomotion in humans with spinal cord injury

Epidural electrical stimulation (EES) of the spinal cord restores locomotion in animal models of spinal cord injury but is less effective in humans. Here we hypothesized that this interspecies discrepancy is due to interference between EES and proprioceptive information in humans. Computational simulations and preclinical and clinical experiments reveal that EES blocks a significant amount of proprioceptive input in humans, but not in rats. This transient deafferentation prevents modulation of reciprocal inhibitory networks involved in locomotion and reduces or abolishes the conscious perception of leg position. Consequently, continuous EES can only facilitate locomotion within a narrow range of stimulation parameters and is unable to provide meaningful locomotor improvements in humans without rehabilitation. Simulations showed that burst stimulation and spatiotemporal stimulation profiles mitigate the cancellation of proprioceptive information, enabling robust control over motor neuron activity. This demonstrates the importance of stimulation protocols that preserve proprioceptive information to facilitate walking with EES.

Mental practice for upper limb rehabilitation after stroke: a systematic review and meta-analysis

Mental practice (MP) is usually provided in combination with other therapies, and new developments for neurofeedback to support MP have been made recently. The objectives of this study were to evaluate the effectiveness of MP and to investigate the intervention characteristics including neurofeedback that may affect treatment outcome. The Cochrane Central Register of Controlled Trials, PubMed, Embase, KoreaMed, Scopus, Web of Science, PEDro, and CIRRIE were searched from inception to March 2017 for randomized controlled trials to assess the effect of MP for upper limb rehabilitation after stroke. Fugl-Meyer Assessment (FMA) was used as the outcome measure for meta-analysis. Twenty-five trials met the inclusion criteria, and 15 trials were eligible for meta-analysis. Among the trials selected for meta-analysis, MP was added to conventional therapy in eight trials or to modified constraint-induced movement therapy in one trial. The other trials provided neurofeedback to support MP: MP-guided neuromuscular electrical stimulation (NMES) in four trials and MP-guided robot-assisted therapy (RAT) in two trials. MP added to conventional therapy resulted in significantly higher FMA gain than conventional therapy alone. MP-guided NMES showed superior result than conventional NMES as well. However, the FMA gain of MP-guided RAT was not significantly higher than RAT alone. We suggest that MP is an effective complementary therapy either given with neurofeedback or not. Neurofeedback applied to MP showed different results depending on the therapy provided. This study has limitations because of heterogeneity and inadequate quality of trials. Further research is requested.

Effects of Temporary Functional Deafferentation in Chronic Stroke Patients: Who Profits More?

Temporary functional deafferentation (TFD) by an anesthetic cream on the stroke-affected forearm was shown to improve sensorimotor abilities of stroke patients. The present study investigated different predictors for sensorimotor improvements during TFD and indicated outcome differences between patients grouped in subcortical lesions only and lesions with any cortical involvement. Thirty-four chronic stroke patients were temporarily deafferented on the more affected forearm by an anesthetic cream. Somatosensory performance was assessed using von Frey Hair and grating orientation task; motor performance was assessed by a shape-sorter-drum task. Seven potential predictors were entered into three linear multiple regression models. Furthermore, effects of TFD on outcome variables for the two groups (cortical versus subcortical lesion) were compared. Sex and sensory deficit were significant predictors for changes in motor function while age accounted for changes in grating orienting task. Males, patients with a stronger sensory deficit, and older patients profited more. None of the potential predictors made significant contributions to changes in threshold for touch. Furthermore, there were no differences in sensorimotor improvement between lesion site groups. The effects of TFD together with the low predictability of the investigated parameters suggest that characteristics of patients alone are not suitable to exclude some patients from TFD.

Effects of Somatosensory Impairment on Participation After Stroke

OBJECTIVE

Our objective was to determine the effect of loss of body sensation on activity participation in stroke survivors.

METHOD

Participants (N = 268) were assessed at hospital admission for somatosensory and motor impairment using the National Institutes of Health Stroke Scale. Participation was assessed using the Activity Card Sort (ACS) in the postacute phase. Between-group differences in activity participation were analyzed for participants with and without somatosensory impairment and with or without paresis.

RESULTS

Somatosensory impairment was experienced in 33.6% of the sample and paresis in 42.9%. ACS profiles were obtained at a median of 222 days poststroke. Somatosensory loss alone (z = 1.96, p = .048) and paresis in upper and lower limbs without sensory loss (z = 4.62, p < .001) influenced activity participation.

CONCLUSION

Somatosensory impairment is associated with reduced activity participation; however, paresis of upper and lower limbs can mask the contribution of sensory loss.

Effects of modified constraint-induced movement therapy in the recovery of upper extremity function affected by a stroke: a single-blind randomized parallel trial-comparing group versus individual intervention

An extensive corpus of literature supports the positive impact of constraint-induced movement therapy (CIMT) on neuroplasticity and the recovery of function. However, its clinical applicability is limited by the time of intervention and individual modality. We propose to assess the efficacy of modified CIMT protocols through a group therapy intervention. To determine the effectiveness of a group therapy, compared with individual modified CIMT, in increasing the use and functionality of movement of a paretic upper limb. The study was a single-blind, randomized parallel trial. Thirty-six patients who had had a stroke more than 6 months previously were divided randomly into two intervention groups. The independent variable was the implementation of group or individual modalities for 3 h for 10 consecutive days and the dependent variables were evaluated by the Motor Activity Log and Action Research Arm Test, at baseline (preintervention evaluation), end (postintervention evaluation), and 6 months after intervention (follow-up). By controlling the preintervention evaluations, analyses of covariance indicated that both dependent variables presented significant differences in favor of the group therapy at both the postintervention evaluation and the follow-up evaluations. Both types of intervention generated increases in the function and use of the upper extremity, with these increases being higher in the group therapy. The effects of the group therapy modality were maintained 6 months after the intervention ended.

Does botulinum toxin treatment improve upper limb active function?

BACKGROUND

Spasticity following lesions of the central nervous system such as stroke is a major cause of impairment and disability, especially when it affects the upper limb, and can be focally relieved by intramuscular injections of botulinum toxin (BT). Functional improvements of the affected upper limb after a BT focal treatment remain controversial.

OBJECTIVE

We aimed to assess the functional effects of BT treatment on upper-limb spasticity in the literature, identify flaws and deficiencies in proving these effects and propose leads for future trials.

METHODS

We searched the MEDLINE and Cochrane databases for trials, reviews and meta-analyses assessing the effect of BT injection in upper-limb spasticity. This was a non-systematic narrative review, and the selection of articles was based on the authors' expertise. The review focused on stroke-related spasticity and disability.

RESULTS

Patients' therapeutic targets involved use of the disability assessment scale (DAS) or goal attainment scale (GAS). Impairments and passive function goals prevailed for active function and participation and were more frequently achieved for the former than the latter. Meta-analyses showed no to mild effect sizes for improvement in upper-limb function but failed to show higher and/or better use of the paretic upper limb in activities of daily living after BT injection.

CONCLUSION

BT injections for impairment and passive function are related to improved kinematic parameters; however, the relation between relief of spasticity and improved upper-limb activity has not been established. Possible explanations for the lack of functional effect in studies are first, disability is mainly due to muscle weakness rather than spasticity, so patients with the best underlying motricity may benefit the most from BT injections; second, assessment methods may not be adapted to screen eligible patients; third, most studies' endpoints were at 4 to 12 weeks after a single injection, but repeated treatment sessions might be needed to observe functional outcome on the upper limbs; and finally, the association of rehabilitation programs or non-pharmacological treatments may enhance the functional effects of BT injections.

In-Home Delivery of Constraint-Induced Movement Therapy via Virtual Reality Gaming

Purpose

People with chronic hemiparesis are frequently dissatisfied with the recovery of their hand and arm, yet many lack access to effective treatments. Constraint-induced movement therapy (CI therapy) effectively increases arm function and spontaneous use in persons with chronic hemiparesis. The purpose of this study was to determine the feasibility and measure safety and outcomes of an in-home model of delivering CI therapy using a custom, avatar-based virtual reality game.

Methods

Seventeen individuals with chronic hemiparesis participated in this pretest/posttest quasi-experimental design study. The 10-day intervention had three components: 1) high-repetition motor practice using virtual reality gaming; 2) constraint of the stronger arm via a padded restraint mitt; and 3) a transfer package to reinforce arm use. Feasibility of the intervention was evaluated through comparison to traditional CI therapy and through participants' subjective responses. The primary outcome measures were the Wolf Motor Function Test (WMFT) and the Motor Activity Log quality of movement scale (MAL-QOM).

Results

On average, participants completed 17.2 ± 8 hours and 19,436 repetitions of motor practice. No adverse events were reported. Of 7 feasibility criteria, 4 were met. WMFT rate and MAL-QOM increased, with effect size (Cohen's d) of 1.5 and 1.1, respectively.

Conclusions

This model of delivering CI therapy using a custom, avatar-based virtual reality game was feasible, well received, and showed preliminary evidence of being a safe intervention to use in the home for persons with chronic hemiparesis.

Change in Functional Arm Use Is Associated With Somatosensory Skills After Sensory Retraining Poststroke

OBJECTIVE. We investigated changes in functional arm use after retraining for stroke-related somatosensory loss and identified whether such changes are associated with somatosensory discrimination skills.

METHOD. Data were pooled (N = 80) from two randomized controlled trials of somatosensory retraining. We used the Motor Activity Log to measure perceived amount of arm use in daily activities and the Action Research Arm Test to measure performance capacity. Somatosensory discrimination skills were measured using standardized modality-specific measures.

RESULTS. Participants’ arm use improved after somatosensory retraining (z = −6.80, p &lt; .01). Change in arm use was weakly associated with somatosensation (tactile, β = 0.31, p &lt; .01; proprioception, β = −0.17, p &gt; .05; object recognition, β = 0.13, p &lt; .05).

CONCLUSION. Change in daily arm use was related to a small amount of variance in somatosensory outcomes. Stroke survivors’ functional arm use can increase after somatosensory retraining, with change varying among survivors.

H-GRASP: the feasibility of an upper limb home exercise program monitored by phone for individuals post stroke

PURPOSE

To investigate the feasibility of a phone-monitored home exercise program for the upper limb following stroke.

METHODS

A pre-post double baseline repeated measures design was used. Participants completed an 8-week home exercise program that included behavioural strategies to promote greater use of the affected upper limb. Participants were monitored weekly by therapists over the phone. The following feasibility outcomes were collected: Process (e.g. recruitment rate); Resources (e.g. exercise adherence rate); Management (e.g. therapist monitoring) and Scientific (e.g. safety, effect sizes). Clinical outcomes included: The Chedoke Arm and Hand Inventory, Motor Activity Log, grip strength and the Canadian Occupational Performance Measure.

RESULTS

Eight individuals with stroke were recruited and six participants completed the exercise program. All but one of the six participants met the exercise target of 60 minutes/day, 6 days/week. Participants were stable across the baseline period. The following post-treatment effect sizes were observed: CAHAI (0.944, p = 0.046); MALQ (0.789, p = 0.03) grip strength (0.947, p = 0.046); COPM (0.789, p = 0.03). Improvements were maintained at three and six month follow ups.

CONCLUSIONS

Community dwelling individuals with stroke may benefit from a phone-monitored upper limb home exercise program that includes behavioural strategies that promote transfer of exercise gains into daily upper limb use. Implications for Rehabilitation A repetitive, task-oriented home exercise program that utilizes telephone supervision may be an effective method for the treatment of the upper limb following stroke This program is best suited for individuals with mild to moderate level impairment and experience a sufficient level of challenge from the exercises An exercise program that includes behavioural strategies may promote transfer of exercise gains into greater use of the affected upper limb during daily activities.

Kinematic measures of Arm-trunk movements during unilateral and bilateral reaching predict clinically important change in perceived arm use in daily activities after intensive stroke rehabilitation

Background

Kinematic analysis has been used to objectively evaluate movement patterns, quality, and strategies during reaching tasks. However, no study has investigated whether kinematic variables during unilateral and bilateral reaching tasks predict a patient’s perceived arm use during activities of daily living (ADL) after an intensive intervention. Therefore, this study investigated whether kinematic measures during unilateral and bilateral reaching tasks before an intervention can predict clinically meaningful improvement in perceived arm use during ADL after intensive poststroke rehabilitation.

Methods

The study was a secondary analysis of 120 subjects with chronic stroke who received 90–120 min of intensive intervention every weekday for 3–4 weeks. Reaching kinematics during unilateral and bilateral tasks and the Motor Activity Log (MAL) were evaluated before and after the intervention.

Results

Kinematic variables explained 22 and 11 % of the variance in actual amount of use (AOU) and quality of movement (QOM), respectively, of MAL improvement during unilateral reaching tasks. Kinematic variables also explained 21 and 31 % of the variance in MAL-AOU and MAL-QOM, respectively, during bilateral reaching tasks. Selected kinematic variables, including endpoint variables, trunk involvement, and joint recruitment and interjoint coordination, were significant predictors for improvement in perceived arm use during ADL (P < 0.05).

Conclusions

Arm–trunk kinematics may be used to predict clinically meaningful improvement in perceived arm use during ADL after intensive rehabilitation. Involvement of interjoint coordination and trunk control variables as predictors in bilateral reaching models indicates that a high level of motor control (i.e., multijoint coordination) and trunk stability may be important in obtaining treatment gains in arm use, especially for bilateral daily activities, in intensive rehabilitation after stroke.

Proximal Fugl-Meyer Assessment Scores Predict Clinically Important Upper Limb Improvement After 3 Stroke Rehabilitative Interventions

OBJECTIVE

To identify the baseline motor characteristics of the patients who responded to 3 prominent intervention programs.

DESIGN

Observational cohort study.

SETTING

Outpatient rehabilitation clinics.

PARTICIPANTS

Individuals with chronic stroke (N=174).

INTERVENTIONS

Participants received 30 hours of constraint-induced movement therapy (CIMT), robot-assisted therapy, or mirror therapy (MT).

MAIN OUTCOME MEASURES

The primary outcome measure was the change score of the Upper Extremity Fugl-Meyer Assessment (UE-FMA). The potential predicting variables were baseline proximal, distal, and total UE-FMA and Action Research Arm Test scores. We combined polynomial regression analyses and the minimal clinically important difference to stratify the patients as responders and nonresponders for each intervention approach.

RESULTS

Baseline proximal UE-FMA scores significantly predicted clinically important improvement on the primary outcome measure after all 3 interventions. Participants with baseline proximal UE-FMA scores of approximately <30 benefited significantly from CIMT and robot-assisted therapy, whereas participants with scores between 21 and 35 demonstrated significant improvement after MT. Baseline distal and total UE-FMA and Action Research Arm Test scores could also predict upper limb improvement after CIMT and MT, but not after robot-assisted therapy.

CONCLUSIONS

This study could inform clinicians about the selection of suitable rehabilitation approaches to help patients achieve clinically meaningful improvement in upper extremity function.

Surface peroneal nerve stimulation in lower limb hemiparesis: effect on quantitative gait parameters

OBJECTIVE

The objective of this study was to evaluate possible mechanisms for functional improvement and compare ambulation training with surface peroneal nerve stimulation vs. usual care via quantitative gait analysis.

DESIGN

This study is a randomized controlled clinical trial.

SETTING

The setting of this study is a teaching hospital of an academic medical center.

PARTICIPANTS

One hundred ten chronic stroke survivors (>12 wks poststroke) with unilateral hemiparesis participated in this study.

INTERVENTIONS

The subjects were randomized to a surface peroneal nerve stimulation device or usual care intervention. The subjects were treated for 12 wks and followed up for 6-mo posttreatment.

MAIN OUTCOME MEASURES

Spatiotemporal, kinematic, and kinetic parameters of gait were the main outcome measures.

RESULTS

Cadence (F3,153 = 5.81, P = 0.012), stride length (F3,179 = 20.01, P < 0.001), walking speed (F3,167 = 18.2, P < 0.001), anterior-posterior ground reaction force (F3,164 = 6.61, P = 0.004), peak hip power in preswing (F3,156 = 8.76, P < 0.001), and peak ankle power at push-off (F3,149 = 6.38, P = 0.005) all improved with respect to time. However, peak ankle ankle dorsiflexion in swing (F3,184 = 4.99, P = 0.031) worsened. In general, the greatest change for all parameters occurred during the treatment period. There were no significant treatment group × time interaction effects for any of the spatiotemporal, kinematic, or kinetic parameters.

CONCLUSIONS

Gait training with peroneal nerve stimulation and usual care was associated with improvements in peak hip power in preswing and peak ankle power at push-off, which may have resulted in improved cadence, stride length, and walking speed; however, there were no differences between treatment groups. Both treatment groups also experienced a decrease in peak ankle ankle dorsiflexion in swing, although the clinical implications of this finding are unclear.

Similar Effects of Two Modified Constraint-Induced Therapy Protocols on Motor Impairment, Motor Function and Quality of Life in Patients with Chronic Stroke

Modified constraint-induced movement therapy (CIMT) protocols show motor function and real-world arm use improvement. Meanwhile it usually requires constant supervision by physiotherapists and is therefore more expensive than customary care. This study compared the preliminary efficacy of two modified CIMT protocols. A two-group randomized controlled trial with pre and post treatment measures and six months follow-up was conducted. Nineteen patients with chronic stroke received 10 treatment sessions distributed three to four times a week over 22 days. CIMT3h_direct group received 3 hours of CIMT supervised by a therapist (n=10) while CIMT1.5h_direct group had 1.5 hours of supervised CIMT+1.5 hours home exercises supervised by a caregiver (n=9). Outcome measures were the Fugl-Meyer Assessment, the Motor Activity Log, and the Stroke Specific Quality of Life Scale. The modified CIMT protocols were feasible and well tolerated. Improvements in motor function, real-world arm use and quality of life did not differ significantly between treated groups receiving either 3 or 1.5 hours mCIMT supervised by a therapist.

Predictors of motor, daily function, and quality-of-life improvements after upper-extremity robot-assisted rehabilitation in stroke

OBJECTIVE

A subgroup of patients benefiting most from robot-assisted therapy (RT) has not yet been described. We examined the predictors of improved outcomes after RT.

METHOD

Sixty-six patients with stroke receiving RT were analyzed. The outcome measures were the Fugl-Meyer Assessment (FMA), Wolf Motor Function Test (WMFT), Motor Activity Log (MAL), and Stroke Impact Scale (SIS). The potential predictors were age, side of lesion, time since onset, Modified Ashworth Scale (MAS) scores, accelerometer data, Box and Block Test (BBT) scores, and kinematic parameters.

RESULTS

BBT scores were predictive of FMA (29%) and MAL (9%-15%) improvements. Reduced shoulder flexion synergy, as measured by less shoulder abduction during forward reach, and MAS-distal were predictive of WMFT-function improvements. MAS-distal was predictive of SIS-physical improvements. Demographic variables did not predict outcomes.

CONCLUSION

Manual dexterity was a valuable predictor of motor impairment and daily function after RT. Outcomes at different levels may have different predictors.

Assessing and treating higher level somatosensory impairments post stroke

Poststroke somatosensory impairment is prevalent, yet commonly used clinical measures lack the sensitivity needed to quantify impairment and detect change due to intervention. This selective review, prepared and presented as a part of the I-Treat Conference (June 22, 2013, Columbus, Ohio), discusses the prevalence of somatosensory impairment after stroke, highlights measures of higher level somatosensory processing, and briefly reviews sensorimotor rehabilitation. The goal of this article is to encourage dialogue regarding the development and use of measures of higher level somatosensory function that will enable personalization of sensorimotor rehabilitation.

How do somatosensory deficits in the arm and hand relate to upper limb impairment, activity, and participation problems after stroke? A systematic review

BACKGROUND

The association between somatosensory impairments and outcome after stroke remains unclear.

PURPOSE

The aim of this study was to systematically review the available literature on the relationship between somatosensory impairments in the upper limb and outcome after stroke.

DATA SOURCES

The electronic databases PubMed, CINAHL, EMBASE, Cochrane Library, PsycINFO, and Web of Science were systematically searched from inception until July 2013.

STUDY SELECTION

Studies were included if adult patients with stroke (minimum n=10) were examined with reliable and valid measures of somatosensation in the upper limb to investigate the relationship with upper limb impairment, activity, and participation measures. Exclusion criteria included measures of somatosensation involving an overall score for upper and lower limb outcome and articles including only lower limb outcomes.

DATA EXTRACTION

Eligibility assessment, data extraction, and quality evaluation were completed by 2 independent reviewers. A cutoff score of ≥65% of the maximal quality score was used for further inclusion in this review.

DATA SYNTHESIS

Six articles met all inclusion criteria. Two-point discrimination was shown to be predictive for upper limb dexterity, and somatosensory evoked potentials were shown to have predictive value in upper limb motor recovery. Proprioception was significantly correlated with perceived level of physical activity and social isolation and had some predictive value in functional movements of the upper limb. Finally, the combination of light touch and proprioception impairment was shown to be significantly related to upper limb motor recovery as well as handicap situations during activities of daily living.

LIMITATIONS

Heterogeneity of the included studies warrants caution when interpreting results.

CONCLUSIONS

Large variation in results was found due to heterogeneity of the studies. However, somatosensory deficits were shown to have an important role in upper limb motor and functional performance after stroke.

Predicting clinically significant changes in motor and functional outcomes after robot-assisted stroke rehabilitation

OBJECTIVE

To investigate the predictors of minimal clinically important changes on outcome measures after robot-assisted therapy (RT).

DESIGN

Observational cohort study.

SETTING

Outpatient rehabilitation clinics.

PARTICIPANTS

A cohort of outpatients with stroke (N=55).

INTERVENTIONS

Patients with stroke received RT for 90 to 105min/d, 5d/wk, for 4 weeks.

MAIN OUTCOME MEASURES

Outcome measures, including the Fugl-Meyer Assessment (FMA) and Motor Activity Log (MAL), were measured before and after the intervention. Potential predictors include age, sex, side of lesion, time since stroke onset, finger extension, Box and Block Test (BBT) score, and FMA distal score.

RESULTS

Statistical analysis showed that the BBT score (odds ratio[OR]=1.06; P=.04) was a significant predictor of clinically important changes in the FMA. Being a woman (OR=3.9; P=.05) and BBT score (OR=1.07; P=.02) were the 2 significant predictors of clinically significant changes in the MAL amount of use subscale. The BBT score was the significant predictor of an increased probability of achieving clinically important changes in the MAL quality of movement subscale (OR=1.07; P=.02). The R(2) values for the 3 logistic regression models were low (.114-.272).

CONCLUSIONS

The results revealed that patients with stroke who had greater manual dexterity measured by the BBT appear to have a higher probability of achieving clinically significant motor and functional outcomes after RT. Further studies are needed to evaluate other potential predictors to improve the models and validate the findings.

Constraint-Induced Movement Therapy Compared to Dose-Matched Interventions for Upper-Limb Dysfunction in Adult Survivors of Stroke: A Systematic Review with Meta-analysis

PURPOSE

To summarize the existing literature examining constraint-induced movement therapy (CIMT), relative to dose-matched control interventions, for upper-limb (UL) dysfunction in adult survivors of stroke.

METHODS

CINAHL, Cochrane Library, Embase, NARIC/CIRRIE-Rehabdata, PEDro, PubMed, Scopus, and Web of Science were searched from their inception to February 2011. Trial quality was described using the PEDro scale. The findings were summarized with meta-analysis.

RESULTS

For the 22 trials identified, the mean (SD) PEDro score was 6.4 (1.2). Meta-analysis showed CIMT to be superior to dose-matched interventions based on indicators of UL motor capacity (15 trials, n=432; standardized mean difference [SMD]=0.47, 95% CI, 0.27-0.66) and UL ability (14 trials, n=352; SMD=0.80, 95% CI, 0.57-1.02); Functional Independence Measure scores (6 trials, n=182; mean difference [MD]=5.05, 95% CI, 2.23-7.87); and Motor Activity Log scores (Amount of Use: 12 trials, n=318; MD=1.05, 95% CI, 0.85-1.24; Quality of Movement: 11 trials, n=330; MD=0.89, 95% CI, 0.69-1.08).

CONCLUSIONS

Compared to control interventions of equal duration and dose, CIMT produced greater improvements in a variety of indicators of UL function in adult survivors of a stroke with residual movement of their upper limb.

Sensorimotor training and neural reorganization after stroke: a case series

BACKGROUND AND PURPOSE

Impaired hand function decreases quality of life after stroke. The purpose of this study was to pilot a novel 2-week upper extremity sensorimotor training program. This case series describes the training program and highlights outcome measures used for documenting behavioral change and neural reorganization.

CASE DESCRIPTION

Behavioral/performance changes were identified via sensorimotor evaluation. Activity-induced neural reorganization was examined using sensory functional magnetic resonance imaging, diffusion tensor tractography, and brain volume measurement. Participant 1 was a 75-year-old right-handed man 1 year post-right hemisphere stroke, with severe sensory impairment across domains in his left hand; he reported limited left-hand/arm use. Participant 2 was a 63-year-old right-handed woman who had experienced a left hemisphere stroke 9 months earlier, resulting in mild sensory impairment across domains in her right hand, as well as mild motor deficit.

INTERVENTION

Participants were trained 4 hours per day, 5 days per week for 2 weeks. Training tasks required sensory discrimination of temperature, weights, textures, shapes, and objects in the context of active exploration with the involved hand. Random multimodal feedback was used.

OUTCOMES

Both participants had improved scores on the Wolf Motor Function Test after training. Participant 1 had no measurable change in sensory function, while participant 2 improved in touch perception, proprioception, and haptic performance. Sensory functional magnetic resonance imaging suggested neural reorganization in both participants; participant 1 had a small increase in brain volume, while superior thalamic radiation white matter connectivity was unchanged in either participant.

DISCUSSION

Participating in sensorimotor training focused on sensory discrimination during manual manipulation was feasible for both participants. Future research to determine efficacy and identify optimal measures of sensory function and neural reorganization is recommended.

VIDEO ABSTRACT AVAILABLE

(see Video, Supplemental Digital Content 1, http://links.lww.com/JNPT/A38) for more insights from the authors.

Post-stroke protection from maladaptive effects of learning with the non-paretic forelimb by bimanual home cage experience in C57BL/6 mice

Behavioral experience, in the form of skilled limb use, has been found to impact the structure and function of the central nervous system, affecting post-stroke behavioral outcome in both adaptive and maladaptive ways. Learning to rely on the less-affected, or non-paretic, body side is common following stroke in both humans and rodent models. In rats, it has been observed that skilled learning with the non-paretic forelimb following ischemic insult leads to impaired or delayed functional recovery of the paretic limb. Here we used a mouse model of focal motor cortical ischemic injury to examine the effects of non-paretic limb training following unilateral stroke. In addition, we exposed some mice to increased bimanual experience in the home cage following stroke to investigate the impact of coordinated dexterous limb use on the non-paretic limb training effect. Our results confirmed that skilled learning with the non-paretic limb impaired functional recovery following stroke in C56BL/6 mice, as it does in rats. Further, this effect was avoided when the skill learning of the non-paretic limb was coupled with increased dexterous use of both forelimbs in the home cage. These findings further establish the mouse as an appropriate model in which to study the neural mechanisms of recovery following stroke and extend previous findings to suggest that the dexterous coordinated use of the paretic and non-paretic limb can promote functional outcome following injury.

Intensive upper extremity training for children with hemiplegia: from science to practice

For children with hemiplegic cerebral palsy, bimanual abilities are central to independent function. Over the last decade, considerable attention has been given to 2 forms of extended practice therapy for the upper limb, constraint-induced movement therapy and intensive bimanual training. This article reviews the varying nature of these 2 approaches and the existing scientific rationale supporting them. Comparisons between these 2 intensive upper extremity training approaches indicate similar improvements in unimanual capacity and bimanual performance outcomes; however, when considering participant and caregiver goal achievement, evidence favors a bimanual approach. Careful selection of either therapy for this population requires consideration of individual and contextual factors in relation to treatment goals. The key ingredients and dose responses remain unknown. Treatment intensity, intrinsic motivation, and individualization of treatment are hypothesized as requisite in either approach.

Randomized controlled trial of surface peroneal nerve stimulation for motor relearning in lower limb hemiparesis

OBJECTIVE

To compare the motor relearning effect of a surface peroneal nerve stimulator (PNS) versus usual care on lower limb motor impairment, activity limitation, and quality of life among chronic stroke survivors.

DESIGN

Single-blinded randomized controlled trial.

SETTING

Teaching hospital of academic medical center.

PARTICIPANTS

Chronic stroke survivors (N=110; >12wk poststroke) with unilateral hemiparesis and dorsiflexion strength of ≤4/5 on the Medical Research Council scale.

INTERVENTIONS

Subjects were stratified by motor impairment level and then randomly assigned to ambulation training with either a surface PNS device or usual care (ankle-foot orthosis or no device) intervention. Subjects were treated for 12 weeks and followed up for 6 months posttreatment.

MAIN OUTCOME MEASURES

Lower limb portion of the Fugl-Meyer (FM) Assessment (motor impairment), the modified Emory Functional Ambulation Profile (mEFAP) performed without a device (functional ambulation), and the Stroke Specific Quality of Life (SSQOL) scale.

RESULTS

There was no significant treatment group main effect or treatment group by time interaction effect on FM, mEFAP, or SSQOL raw scores (P>.05). The time effect was significant for the 3 raw scores (P<.05). However, when comparing average change scores from baseline (t1) to end of treatment (t2, 12wk), and at 12 weeks (t3) and 24 weeks (t4) after end of treatment, significant differences were noted only for the mEFAP and SSQOL scores. The change in the average scores for both mEFAP and SSQOL occurred between t1 and t2, followed by relative stability thereafter.

CONCLUSIONS

There was no evidence of a motor relearning effect on lower limb motor impairment in either the PNS or usual-care groups. However, both the PNS and usual-care groups demonstrated significant improvements in functional mobility and quality of life during the treatment period, which were maintained at 6-month follow-up.

Rehabilitation of the Upper Extremity after Stroke: A Case Series Evaluating REO Therapy and an Auditory Sensor Feedback for Trunk Control

Background and Purpose. Training in the virtual environment in post stroke rehab is being established as a new approach for neurorehabilitation, specifically, ReoTherapy (REO) a robot-assisted virtual training device. Trunk stabilization strapping has been part of the concept with this device, and literature is lacking to support this for long-term functional changes with individuals after stroke. The purpose of this case series was to measure the feasibility of auditory trunk sensor feedback during REO therapy, in moderate to severely impaired individuals after stroke. Case Description. Using an open label crossover comparison design, 3 chronic stroke subjects were trained for 12 sessions over six weeks on either the REO or the control condition of task related training (TRT); after a washout period of 4 weeks; the alternative therapy was given. Outcomes. With both interventions, clinically relevant improvements were found for measures of body function and structure, as well as for activity, for two participants. Providing auditory feedback during REO training for trunk control was found to be feasible. Discussion. The degree of changes evident varied per protocol and may be due to the appropriateness of the technique chosen, as well as based on patients impaired arm motor control.

The promise of mHealth: daily activity monitoring and outcome assessments by wearable sensors

Mobile health tools that enable clinicians and researchers to monitor the type, quantity, and quality of everyday activities of patients and trial participants have long been needed to improve daily care, design more clinically meaningful randomized trials of interventions, and establish cost-effective, evidence-based practices. Inexpensive, unobtrusive wireless sensors, including accelerometers, gyroscopes, and pressure-sensitive textiles, combined with Internet-based communications and machine-learning algorithms trained to recognize upper- and lower-extremity movements, have begun to fulfill this need. Continuous data from ankle triaxial accelerometers, for example, can be transmitted from the home and community via WiFi or a smartphone to a remote data analysis server. Reports can include the walking speed and duration of every bout of ambulation, spatiotemporal symmetries between the legs, and the type, duration, and energy used during exercise. For daily care, this readily accessible flow of real-world information allows clinicians to monitor the amount and quality of exercise for risk factor management and compliance in the practice of skills. Feedback may motivate better self-management as well as serve home-based rehabilitation efforts. Monitoring patients with chronic diseases and after hospitalization or the start of new medications for a decline in daily activity may help detect medical complications before rehospitalization becomes necessary. For clinical trials, repeated laboratory-quality assessments of key activities in the community, rather than by clinic testing, self-report, and ordinal scales, may reduce the cost and burden of travel, improve recruitment and retention, and capture more reliable, valid, and responsive ratio-scaled outcome measures that are not mere surrogates for changes in daily impairment, disability, and functioning.

Anticipatory planning of functional reach-to-grasp: a pilot study

BACKGROUND

Intensive task-oriented training such as constraint-induced movement therapy (CIMT) is thought to engage motor learning and decision-making processes, including anticipatory action planning.

OBJECTIVE

To identify the effects of CIMT on anticipatory hand posture selection and movement time for task-specific reach-to-grasp performance.

METHODS

Subacute and chronic poststroke participants were recruited into CIMT (n = 10) or non-CIMT (n = 10) groups. Arm and hand functions were assessed before and after 2 weeks with the Wolf Motor Function Test (WMFT), Motor Activity Log (MAL), and a unique skilled reach-to-grasp task designed to test anticipatory hand posture selection. The reach-to-grasp tasks included power and precision grasping in 2 conditions achieved optimally with either a pronated (low difficulty) or supinated (high difficulty) hand posture. Outcome measures included success rate, frequency of optimal strategy selection, and movement time.

RESULTS

Between-group comparisons revealed a significant treatment effect for WMFT and MAL scores. The CIMT group showed larger gains in success rate, optimal posture selection (precision grasp only), and faster movement times for the supinated conditions.

CONCLUSION

Together, a faster movement time and greater frequency of optimal hand posture selection in the more difficult task condition highlights a set of novel findings. These results provide evidence for training-induced improvements in upper-extremity function that support neurobehavioral recovery more than compensation. Although these findings are preliminary in view of the small sample size, the authors suggest that they may be useful to design and power larger-scale studies to further the understanding of the fundamental mechanisms induced by task-oriented training interventions in neurorehabilitation.

Association of activity changes in the primary sensory cortex with successful motor rehabilitation of the hand following stroke

BACKGROUND

Previous studies demonstrated a posterior shift of activation toward the primary sensory cortex (S1) following stroke; however, any relationship between this posterior shift and clinical outcome measures for the affected hand function were unclear.

OBJECTIVE

The authors investigated the possible role of S1 in motor recovery.

METHODS

Assuming that previous studies examined inhomogeneous groups of patients, the authors selected participants with chronic stroke who had moderate hand paresis, normal sensory examination and somatosensory-evoked potentials, and no lesion within the S1, thalamus, or brain stem. Constraint-induced movement therapy (CIMT) was used to train the impaired hand. To relate fMRI (functional MRI) activation changes from baseline to post-CIMT, a correlation analysis was performed with changes of the Wolf Motor Function Test (WMFT) as a test for the hand function.

RESULTS

A close relationship was found between increases in hand function and peak changes in activation within the ipsilesional S1. With a better outcome, greater increases in activation within the S1 were evident (P < .03; r = 0.73).

CONCLUSION

In selected patients, the sensory network influences training-induced motor gains. This predictive knowledge of plasticity when applying CIMT may suggest strategies to enhance the effect of therapy, such as the addition of electrical stimulation to enhance S1 excitability.

Validity, responsiveness, minimal detectable change, and minimal clinically important change of the Pediatric Motor Activity Log in children with cerebral palsy

This study examined criterion-related validity and clinimetric properties of the Pediatric Motor Activity Log (PMAL) in children with cerebral palsy. Study participants were 41 children (age range: 28-113 months) and their parents. Criterion-related validity was evaluated by the associations between the PMAL and criterion measures at baseline and posttreatment, including the self-care, mobility, and cognition subscale, the total performance of the Functional Independence Measure in children (WeeFIM), and the grasping and visual-motor integration of the Peabody Developmental Motor Scales. Pearson correlation coefficients were calculated. Responsiveness was examined using the paired t test and the standardized response mean, the minimal detectable change was captured at the 90% confidence level, and the minimal clinically important change was estimated using anchor-based and distribution-based approaches. The PMAL-QOM showed fair concurrent validity at pretreatment and posttreatment and predictive validity, whereas the PMAL-AOU had fair concurrent validity at posttreatment only. The PMAL-AOU and PMAL-QOM were both markedly responsive to change after treatment. Improvement of at least 0.67 points on the PMAL-AOU and 0.66 points on the PMAL-QOM can be considered as a true change, not measurement error. A mean change has to exceed the range of 0.39-0.94 on the PMAL-AOU and the range of 0.38-0.74 on the PMAL-QOM to be regarded as clinically important change.

Minimal detectable change of the actual amount of use test and the motor activity log: the EXCITE Trial

BACKGROUND

Efficacy of task-oriented training can be reliably trusted only when the inherent measurement variability is determined. The Actual Amount of Use Test (AAUT) and the Motor Activity Log (MAL) have been used together as measures of spontaneous arm use after an intervention; however, the minimal detectable change (MDC) of AAUT and MAL has not been addressed.

OBJECTIVE

To compare the MDC₉₀ of the AAUT and the MAL in the context of a randomized controlled trial of a neurorehabilitation intervention, the Extremity Constraint-Induced Therapy Evaluation trial.

METHODS

A preplanned secondary analysis was conducted using pre-post test data from the control group. Estimated MDC₉₀ were normalized to the maximum value of the scale of the AAUT and the MAL for each subscale: amount of use (AAUTa, MALa) and quality of movement (AAUTq, MALq).

RESULTS

. The MDC₉₀ of the AAUTq and the MALq were 14.4% and 15.4%, respectively. However, the MDC₉₀ required greater change for the AAUTa (24.2%) than the MALa (16.8%). The training-induced spontaneous arm use exceeded the MDC₉₀ for the MAL but fell below that for the AAUT immediately after the intervention and at 1-year follow-up visit.

CONCLUSIONS

The greater variability and insensitivity to treatment effect for the AAUTa is likely because of the low resolution of its scoring system. As such, there is a considerable need to develop valid and reliable tools that capture purposeful arm use outside the laboratory, perhaps through leveraging new sensing technologies with objective activity monitoring.

Systematic review of parameters of stimulation, clinical trial design characteristics, and motor outcomes in non-invasive brain stimulation in stroke

INTRODUCTION/OBJECTIVES

Repetitive transcranial magnetic stimulation (rTMS) and transcranial direct current stimulation are two powerful non-invasive neuromodulatory therapies that have the potential to alter and evaluate the integrity of the corticospinal tract. Moreover, recent evidence has shown that brain stimulation might be beneficial in stroke recovery. Therefore, investigating and investing in innovative therapies that may improve neurorehabilitative stroke recovery are next steps in research and development. Participants/Materials and Methods: This article presents an up-to-date systematic review of the treatment effects of rTMS and tDCS on motor function. A literary search was conducted, utilizing search terms "stroke" and "transcranial stimulation." Items were excluded if they failed to: (1) include stroke patients, (2) study motor outcomes, or (3) include rTMS/tDCS as treatments. Other exclusions included: (1) reviews, editorials, and letters, (2) animal or pediatric populations, (3) case reports or sample sizes ≤2 patients, and (4) primary outcomes of dysphagia, dysarthria, neglect, or swallowing.

RESULTS

Investigation of PubMed English Database prior to 01/01/2012 produced 695 applicable results. Studies were excluded based on the aforementioned criteria, resulting in 50 remaining studies. They included 1314 participants (1282 stroke patients and 32 healthy subjects) evaluated by motor function pre- and post-tDCS or rTMS. Heterogeneity among studies' motor assessments was high and could not be accounted for by individual comparison. Pooled effect sizes for the impact of post-treatment improvement revealed consistently demonstrable improvements after tDCS and rTMS therapeutic stimulation. Most studies provided limited follow-up for long-term effects.

CONCLUSION

It is apparent from the available studies that non-invasive stimulation may enhance motor recovery and may lead to clinically meaningful functional improvements in the stroke population. Only mild to no adverse events have been reported. Though results have been positive results, the large heterogeneity across articles precludes firm conclusions.

Predictors of upper limb recovery after stroke: a systematic review and meta-analysis

OBJECTIVE

To systematically review and summarize the current available literature on prognostic variables relating to upper limb recovery following stroke. To identify which, if any variables predict upper limb recovery following stroke.

DATA SOURCES

We completed searches in MEDLINE, EMBASE, AMED, CINAHL and Cochrane CENTRAL databases. Searches were completed in November 2010.

REVIEW METHODS

Studies were included if predictor variables were measured at baseline and linked to an outcome of upper limb recovery at a future time point. Exclusion criteria included predictor variables relating to response to treatment and outcome measurements of very specific upper limb impairments such as spasticity or pain. Two independent reviewers completed data extraction and assessed study quality.

RESULTS

Fifty-eight studies met the inclusion criteria. Predictor variables which have been considered within these studies include; age, sex, lesion site, initial motor impairment, motor-evoked potentials and somatosensory-evoked potentials. Initial measures of upper limb impairment and function were found to be the most significant predictors of upper limb recovery; odds ratio 14.84 (95% confidence intervals (CI) 9.08-24.25) and 38.62 (95% CI 8.40-177.53), respectively.

CONCLUSIONS

Interpretation of these results is complicated by methodological factors including variations in study populations, upper limb motor outcome scales, timing of baseline and outcome assessments and predictors selected. The most important predictive factors for upper limb recovery following stroke appears to the initial severity of motor impairment or function.