Feasibility and efficacy of virtual reality rehabilitation compared with conventional physiotherapy for upper extremity impairment due to ischaemic stroke: protocol for a randomised controlled trial.

INTRODUCTION: Approximately half of all stroke survivors have persistent upper extremity functional impairment, leading to reduced self-care, independence and quality of life. High-intensity, task-oriented virtual reality rehabilitation improves motor recovery. However, its clinical efficacy over standard rehabilitation remains uncertain. This study aims to evaluate the feasibility and efficacy of a virtual reality-based comprehensive rehabilitation gaming system (VR-cRGS) in stroke survivors with upper extremity impairment and to characterise the structural and functional plasticity of the affected regions in the brain due to the proposed rehabilitation. METHODS AND ANALYSIS: This study is a multicentric, open-label, randomised controlled trial with an intention-to-treat analysis. A total of 162 patients will be enrolled in two academic institutes in India that specialise in stroke care. Patients with a first-ever ischaemic stroke (18-70 years and 1-6 months of stroke onset) with upper extremity impairment with 1 and 1+ grades of spasticity as per the modified Ashworth Scale and 3, 4 or 5 stages on Brunnstrom recovery staging will be enrolled. They will be randomised (1:1) into two treatment groups to receive 12 weeks of training either on VR-cRGS or on conventional physiotherapy. The primary feasibility outcome is compliance with the treatment. The primary efficacy outcome is the functional recovery of the upper extremity assessed by the Fugl-Meyer Assessment-Upper Extremity and Wolf Motor Function Test. The secondary outcomes are the Barthel Index and the 36-item Short-Form Health Survey. Multimodal brain imaging will be done in all enrolled patients at baseline and post-treatment to evaluate the structural and functional connectivity changes. The outcome measures will be analysed using paired t-tests or non-parametric tests. ETHICS AND DISSEMINATION: The study has been approved by the Institutional Ethics Review Board of the Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, India (SCT/IEC/1415/AUGUST-2019) and the National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India (NIMHANS/IEC (BS and NS DIV.)/32nd Meeting/21). All participants will sign an informed consent form prior to participation. The study results will be disseminated through scholarly publication. TRIAL REGISTRATION NUMBER: CTRI/2021/11/038339.

Interaction of network and rehabilitation therapy parameters in defining recovery after stroke in a Bilateral Neural Network.

BACKGROUND: Restoring movement after hemiparesis caused by stroke is an ongoing challenge in the field of rehabilitation. With several therapies in use, there is no definitive prescription that optimally maps parameters of rehabilitation with patient condition. Recovery gets further complicated once patients enter chronic phase. In this paper, we propose a rehabilitation framework based on computational modeling, capable of mapping patient characteristics to parameters of rehabilitation therapy. METHOD: To build such a system, we used a simple convolutional neural network capable of performing bilateral reaching movements in 3D space using stereovision. The network was designed to have bilateral symmetry to reflect the bilaterality of the cerebral hemispheres with the two halves joined by cross-connections. This network was then modified according to 3 chosen patient characteristics-lesion size, stage of recovery (acute or chronic) and structural integrity of cross-connections (analogous to Corpus Callosum). Similarly, 3 parameters were used to define rehabilitation paradigms-movement complexity (Exploratory vs Stereotypic), hand selection mode (move only affected arm, CIMT vs move both arms, BMT), and extent of plasticity (local vs global). For each stroke condition, performance under each setting of the rehabilitation parameters was measured and results were analyzed to find the corresponding optimal rehabilitation protocol. RESULTS: Upon analysis, we found that regardless of patient characteristics network showed better recovery when high complexity movements were used and no significant difference was found between the two hand selection modes. Contrary to these two parameters, optimal extent of plasticity was influenced by patient characteristics. For acute stroke, global plasticity is preferred only for larger lesions. However, for chronic, plasticity varies with structural integrity of cross-connections. Under high integrity, chronic prefers global plasticity regardless of lesion size, but with low integrity local plasticity is preferred. CONCLUSION: Clinically translating the results obtained, optimal recovery may be observed when paretic arm explores the available workspace irrespective of the hand selection mode adopted. However, the extent of plasticity to be used depends on characteristics of the patient mainly stage of stroke and structural integrity. By using systems as developed in this study and modifying rehabilitation paradigms accordingly it is expected post-stroke recovery can be maximized.