Background After a stroke, experts recommend regular monitoring and kinematic assessments of patients to objectively measure motor recovery. With the rise of new technologies and increasing needs for neurorehabilitation, an interest in virtual reality has emerged. In this context, we have developed an immersive virtual reality version of the Box and Block Test (BBT-VR). The aim of this study was to assess the concurrent validity of the BBT-VR among patients with stroke and healthy participants. Methods Twenty-three healthy participants and 22 patients with stroke were asked to perform the classical Box and Block Test (BBT) and BBT-VR three times with both hands. Concurrent validity was assessed through correlations between these two tests and reliability of the BBT-VR through correlation on test–retest. Usability of the BBT-VR was also evaluated with the System Usability Scale. Hand kinematic data extracted from controller’s 3D position allowed to compute mean velocity (Vmean), peak velocity (Vpeak) and smoothness (SPARC). Results Results showed strong correlations between the number of blocks displaced with the BBT and the BBT-VR among patients with stroke for affected (r = 0.89; p < 0.001) and less-affected hands (r = 0.76; p < 0.001) and healthy participants for dominant (r = 0.58; p < 0.01) and non-dominant hands (r = 0.68; p < 0.001). Reliability for test–retest was excellent (ICC > 0.8; p < 0.001) and usability almost excellent (System Usability Scale = 79 ± 12.34%). On average participants moved between 30 and 40% less blocks during the BBT-VR than during the BBT. Healthy participants demonstrated significantly higher kinematic measures (Vmean = 0.22 ± 0.086 ms−1; Vpeak = 0.96 ± 0.341 ms−1; SPARC = − 3.31 ± 0.862) than patients with stroke (Vmean = 0.12 ± 0.052 ms−1; Vpeak = 0.60 ± 0.202 ms−1; SPARC = − 5.04[− 7.050 to − 3.682]). Conclusion The BBT-VR is a usable, valid and reliable test to assess manual dexterity, providing kinematic parameters, in a population of patients with stroke and healthy participants. Trial registration http://www.clinicaltrials.gov; Unique identifier: NCT04694833, Date of registration: 11/24/2020
The aim of this systematic review was, first, to determine whether or not individuals with cognitive deficits after stroke were enrolled in trials that investigated upper limb robot-assisted therapy effectiveness, and, second, whether these trials measured cognitive outcomes. We retrieved 6 relevant systematic reviews covering, altogether, 66 articles and 2214 participants. Among these 66 clinical trials, only 10 (15%) enrolled stroke participants with impaired cognition, whereas 50 (76%) excluded those with impaired cognition. The remaining six trials (9%) were classified as unclear as they either excluded individuals unable to understand simple instructions or did not specify if those with cognitive disorders were included. Furthermore, only 5 trials (8%) used cognitive measures as outcomes. This review highlights a lack of consideration for individuals with cognitive impairments in upper limb robotic trials after stroke. However, cognition is important for complex motor relearning processes and should not be ignored.
Background. Due to an increasing stroke incidence, a lack of resources to implement effective rehabilitation and a significant proportion of patients with remaining impairments after treatment, there is a rise in demand for effective and prolonged rehabilitation. Development of self-rehabilitation programs provides an opportunity to meet these increasing demands. Objective. The primary aim of this meta-analysis was to determine the effect of self-rehabilitation on motor outcomes, in comparison to conventional rehabilitation, among patients with stroke. The secondary aim was to assess the influence of trial location (continent), technology, time since stroke (acute/subacute vs chronic), dose (total training duration > vs ≤ 15 hours), and intervention design (self-rehabilitation in addition/substitution to conventional therapy) on effect of self-rehabilitation. Methods. Studies were selected if participants were adults with stroke; the intervention consisted of a self-rehabilitation program defined as a tailored program where for most of the time, the patient performed rehabilitation exercises independently; the control group received conventional therapy; outcomes included motor function and activity; and the study was a randomized controlled trial with a PEDro score ≥5. Results. Thirty-five trials were selected (2225 participants) and included in quantitative synthesis regarding motor outcomes. Trials had a median PEDro Score of 7 [6–8]. Self-rehabilitation programs were shown to be as effective as conventional therapy. Trial location, use of technology, stroke stage, and intervention design did not appear to have a significant influence on outcomes. Conclusion. This meta-analysis showed low to moderate evidence that self-rehabilitation and conventional therapy efficacy was equally valuable for post-stroke motor function and activity.
Background To plan treatment and measure post-stroke recovery, frequent and time-bounded functional assessments are recommended. With increasing needs for neurorehabilitation advances, new technology based methods, such as virtual reality (VR) have emerged. Here, we developed an immersive VR version of the Action Research Arm Test (ARAT-VR) to complement neurorehabilitation. Objective This study aimed to assess the validity, usability and test–retest reliability of the ARAT-VR among individuals with stroke, healthcare professionals and healthy control subjects (HCS). Methods Among the 19 items of the ARAT, 13 items were selected and developed in immersive VR. 11 healthcare professionals, 30 individuals with stroke, and 25 HCS were recruited. Content validity was assessed by asking healthcare professionals to rate the difficulty of performing each item of the ARAT-VR in comparison to the classical Action Research Arm Test (ARAT-19). Concurrent validity was first measured using correlation (Spearman tests) between the ARAT-VR and ARAT-19 scores for the individuals with stroke, and second through correlation and comparison between the scores of the ARAT-VR and the reduced version of the ARAT (ARAT-13) for both individuals with stroke and HCS (Wilcoxon signed rank tests and Bland–Altman plots). Usability was measured using the System Usability Scale. A part of individuals with stroke and HCS were re-tested following a convenient delay to measure test–retest reliability (Intra-class correlation and Wilcoxon tests). Results Regarding the content validity, median difficulty of the 13 ARAT-VR items (0[0 to − 1] to 0[0–1]) evaluated by healthcare professionals was rated as equivalent to the classical ARAT for all tasks except those involving the marbles. For these, the difficulty was rated as superior to the real tasks (1[0–1] when pinching with the thumb-index and thumb-middle fingers, and 1[0–2] when pinching with thumb-ring finger). Regarding the concurrent validity, for paretic hand scores, there were strong correlations between the ARAT-VR and ARAT-13 (r = 0.84), and between the ARAT-VR and ARAT-19 (r = 0.83). Usability (SUS = 82.5[75–90]) and test–retest reliability (ICC = 0.99; p < 0.001) were excellent. Conclusion The ARAT-VR is a valid, usable and reliable tool that can be used to assess upper limb activity among individuals with stroke, providing potential to increase assessment frequency, remote evaluation, and improve neurorehabilitation. Trial registrationhttps://clinicaltrials.gov/ct2/show/NCT04694833; Unique identifier: NCT04694833, Date of registration: 11/24/2020.
Introduction: Stroke can result in various impairments that require multidisciplinary rehabilitation. For example, preserved cognitive executive functions predict motor recovery success. Despite knowing these links, the evaluation of executive function in hemiparesis patients remains underexplored. Here, we examined whether post-stroke individuals with upper limb hemiparesis (SI:HP) had cognitive inhibition deficits using a new immersive virtual reality (IVR) serious game . Methods: Twenty SI:HP with no known history of cognitive impairment and who were not undergoing any neuropsychological rehabilitation and twenty age-matched healthy control individuals (CI) were recruited. They performed the 6-level serious game requiring responses to spatial target presented amongst 11, 17 and 23 distractors with high versus low target-distractors saliency contrasts. Responses were made with less-effected hand for SI:HP group and dominant hand for CI. Response time (RT), and kinematic variables were measured. Results: The SI:HP group was slower and more variable than the CI group. All participants were slower and more variable when responding to the low compared to high target-distractors saliency conditions, and when responding to targets with increased numbers of distractors. A significant interaction between task saliency and distractor number showed slower and more variable responses with increased numbers of distractors in the low saliency condition, but not in the high saliency condition. Interactions involving group and saliency for RT and CV showed that SI:HP compared to CI group showed a greater differences in responses to low versus high saliency conditions. Conclusion: These results suggested that relative to the CI group, the SI:HP group showed cognitive inhibition impairments in the IVR serious game. As cognition plays a fundamental role in motor recovery, these results suggest a need for systematic cognitive screening of post-stroke patients. Trial registration http://www.clinicaltrials.gov ; Unique identifier: NCT04694833, Date of registration: 11/24/2020
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.