Journal of NeuroEngineering and Rehabilitation最新文献

Purpose: Extended reality (XR) and telerehabilitation (TR) technologies are increasingly being used into stroke rehabilitation. These technologies have the potential to enhance therapy intensity, motivate users through engaging and interactive environments, and improve access to rehabilitation services in both clinical and home settings. Usability assessment is essential to ensure effective, engaging, and accessible interventions. This scoping review aims to identify tools used to evaluate XR and TR technologies in stroke rehabilitation.

Materials and methods: This scoping review was conducted following the methodological framework of Arksey and O'Malley, further refined by Levac et al. and the Joanna Briggs Institute. A literature search was performed across five databases (MEDLINE, Embase, CINAHL, PsycINFO, and Web of Science) using keywords and their variations related to stroke, virtual reality, augmented reality, mixed reality, telerehabilitation, and usability evaluation. Peer-reviewed articles and conference abstracts published up to December 2024 were included if they reported on the usability evaluation of XR or TR technologies in neurological rehabilitation. Two reviewers independently screened studies for eligibility. Relevant data were extracted using a standardized data charting framework.

Results: The search yielded 2,290 articles, of which 111 were included in the review. Twenty-eight tools were identified, encompassing both direct usability assessments and complementary tools addressing related aspects. These tools were grouped into six categories: (1) standardized questionnaires, (2) custom questionnaires, (3) semi-structured interviews, (4) task-based usability testing, (5) modified standardized questionnaires, and (6) think-aloud protocols. The most frequently used tool was the System Usability Scale (SUS), followed by custom questionnaires. Among studies explicitly evaluating usability, 55.9% combined two to six tools to capture multiple facets of usability. Usability was assessed in 67.6% of publications using quantitative methods (e.g., questionnaires), in 4.5% using qualitative methods (e.g., interviews, focus groups), and in 27.9% using mixed methods approaches.

Conclusion: Usability of XR and TR technologies is assessed with a wide variety of tools. Combining tools helps capture different aspects of usability, highlighting the importance of addressing its multifaceted nature in stroke rehabilitation. Future research could develop and validate a framework integrating multiple aspects of usability to ensure both relevance and comparability across studies.

Background: Mirror therapy (MT) and augmented reality (AR) are gaining popularity in stroke rehabilitation. MT uses mirror visual feedback to promote bilateral brain coupling and increase primary motor cortex excitability. AR offers an interactive context of practice for promoting motor and cognitive recovery. MT and AR may complement each other for hybrid interventions in stroke rehabilitation. This study investigated the benefits of MT-primed AR (MT + AR) versus AR group, relative to conventional therapy (CT) for individuals with stroke.

Method: The study randomly assigned 45 stroke survivors to the MT + AR group, the AR, or the CT group, and 44 of them completed the experiment and were included in the analysis. Each treatment session was 90 min, 3 times a week, for 6 weeks. All assessments were administered before, immediately after treatment, and at 3 months. Primary outcome measures were the Fugl-Meyer Assessment-Upper Extremity (FMA-UE) and the Berg Balance Scale (BBS). Secondary outcome measures were the revised Nottingham Sensory Assessment (rNSA), Chedoke Arm and Hand Activity Inventory (CAHAI), Motor Activity Log (MAL), and Stroke Impact Scale Version 3.0 (SIS). Adverse events were monitored before and after each session.

Results: After 6 weeks of treatment, the three groups demonstrated significant improvements in the FMA-UE, BBS, CAHAI, MAL, and SIS. In the between-group comparisons, MT + AR and AR groups demonstrated significant advantages in the BBS, proprioception scale of rNSA and SIS, compared with the CT group. Only the MT + AR group, not the AR group, showed significantly better improvements in the FMA-UE and tactile scale of rNSA than the CT group. The MT + AR and AR alone showed differential benefits in the FMA-UE, tactile scale of rNSA, and SIS; the MT + AR rendered significantly better benefits. There were no significant differences among the three groups in the stereognosis scale of rNSA and MAL. No adverse effects were observed.

Conclusion: MT + AR and AR both effectively enhanced sensorimotor functions, balance and postural control, task performance, and life quality in patients with stroke with moderate-to-severe motor impairments. The results showed that MT + AR and AR were more beneficial for improving stroke survivors' balance, functional mobility, proprioception recovery, and quality of life than the CT group. Furthermore, the MT + AR revealed better outcomes in the upper limb motor function and tactile sensory recovery. Between the MT + AR and AR comparisons, the MT + AR was more beneficial for improving upper limb motor function, tactile sensory recovery, and quality of life. Trial registration NCT05993091.

Background: Stroke survivors often experience residual motor dysfunction in their limbs. Additional physical rehabilitation therapies may further improve patients' functional outcomes. By combining direct interventions targeting the cerebral cortex or subcortical structures with indirect approaches that promote central nervous system reorganization, a closed-loop regulatory system can be established. This integrated approach may generate synergistic effects, thereby enhancing functional recovery outcomes.

Methods: This 3-week single-center randomized, single-masked study involved participants randomly assigned to either the electroacupuncture (EA) combined with robot-assisted gait training (RAGT) group (n = 22) or the RAGT alone group (n = 23). EA treatment was administered once daily for 30 min, 5 days per week, while RAGT treatment received the same duration of daily sessions. Baseline and endpoint assessments included the Fugl-Meyer lower extremity (FMA-LE) motor function assessment, functional ambulation category (FAC) scale, Berg Balance Scale (BBS) and electroencephalogram.

Results: After a 3-week intervention period, participants in both groups showed significant improvements in FMA-LE, FAC, and BBS scores compared to baseline levels. The EA combined RAGT group exhibited a reduction in the brain symmetry index within the alpha frequency band, along with enhanced coherence between the CZ electrode and the FCZ, FC2, and C1 electrodes. Furthermore, in the theta frequency band, a shortened average path length and improved global efficiency were observed.

Conclusion: Both interventions can safely and effectively improve lower limb motor function, and EA combined with RAGT combination therapy may have an advantage in promoting neuroplasticity, which may involve reversing pathological frequency spectrum imbalance after stroke, enhancing functional connections between sensorimotor-related brain regions, and optimizing the topological properties of brain functional networks. Trial registration Chinese Clinical Trial Registry (Registration No.: ChiCTR2500102382).

Background: Severe upper limb impairment (ULI) presents a significant challenge in the rehabilitation of chronic stroke survivors and affects their quality of life. Identifying biomarkers and understanding the neural mechanisms associated with severe ULI are essential for evaluating recovery potential and enhancing rehabilitation effectiveness. This study aimed to identify resting-state electroencephalography (EEG) functional connectivity features associated with severe ULI in chronic stroke survivors using machine learning (ML) methods.

Methods: EEG data were collected from 34 chronic stroke survivors. Participants were categorized into two groups based on their Fugl-Meyer Assessment for Upper Extremity (FMA-UE) scores: a mild/moderate ULI (FMA-UE ≥ 30; n = 19) and severe ULI (FMA-UE < 30; n = 15). We employed ML algorithms to classify severe ULI, including logistic regression with L1, elastic net regularization, stochastic gradient descent, and support vector machines, along with several feature selection methods. Coherence was evaluated across six frequency bands in both the ipsilesional (affected by the lesion) and contralesional (opposite side of the lesion) hemispheres.

Results: The logistic regression model with L1 and ReliefF feature selection methods was the most effective, achieving a balanced accuracy of 0.91 (sensitivity = 0.93; specificity = 0.90). This approach identified 14 significant features for distinguishing severe ULI from mild to moderate ULI, including delta interhemispheric and intrahemispheric connectivity in the frontal, parietal, and temporal regions. Additionally, interhemispheric and intrahemispheric theta connectivity was observed in the prefrontal, frontal, temporal, and parietal regions. Low-beta intrahemispheric connectivity was also observed in the contralesional parietal regions.

Conclusions: Our research highlights the association between alterations in connectivity within low-frequency bands and severe ULI across widespread brain regions, including areas outside the sensorimotor cortex and bilateral intrahemispheric and interhemispheric regions. Further research utilizing larger longitudinal datasets from early stroke survivors employing ML approaches could contribute to the development of more accurate predictive models for motor recovery and rehabilitation responses.

Background: Individuals who experience severe speech and physical impairment face significant challenges in communication and daily interaction. Visual brain-computer interfaces (BCIs) offer a potential assistive solution, but their usability is limited when facing restrictions in eye motor control, gaze redirection and fixation. This study investigates the feasibility of a gaze-independent visual oddball BCI for use as an augmentative and alternative communication (AAC) device in the presence of limited eye motor control.

Methods: Seven participants with varying degrees of eye motor control were recruited and their conditions were thoroughly assessed. Visual oddball BCI decoding accuracy was evaluated with multiple decoders in three visuospatial attention (VSA) conditions: overt VSA, with fixation cued on the target, covert VSA, with fixation cued on the center of the screen, and free VSA without gaze cue.

Results: covert VSA with central fixation leads to decreased accuracy, whereas free VSA is comparable to overt VSA for some participants. Furthermore, cross-condition decoder training and evaluation suggests that training with overt VSA may improve performance in BCI users experiencing gaze control difficulties.

Conclusions: These findings highlight the need for adaptive decoding strategies and further validation in applied settings in the presence of gaze impairment.

Unilateral spatial neglect (USN) is a failure to respond or orient to stimuli in contralesional space, not explained by primary sensory or motor deficits. It affects up to two-thirds of right hemisphere stroke survivors and significantly impacts rehabilitation and functional outcomes. Recent advances in three-dimensional (3D) technologies, such as virtual reality (VR) and robotics, offer promising tools for assessment and treatment, providing realistic scenarios and precise clinical stimulation. This systematic review explores the current use of 3D technologies in USN, focusing on their features, level of development, and reported outcomes. A structured search of four databases using the PICO format identified 37 relevant studies out of 2891. The most frequently employed technologies were immersive and non-immersive VR, augmented and mixed reality, and robotics. However, these tools are still in early experimental phases. Among the studies, 15 addressed assessment, 17 focused on treatment, and 5 were technical in nature. Key challenges include methodological variability and the lack of standardized protocols. Due to the heterogeneity of technologies and outcomes, a meta-analysis was not feasible. Future studies should adopt rigorous designs to validate these approaches and support their integration into clinical practice.