# Neuroplasticity Mechanism of Stroke Rehabilitation Training System Based on Virtual Reality: A Review

## TL;DR

This paper reviews how virtual reality can help stroke patients recover by promoting brain plasticity through task-based training and feedback.

## Contribution

It systematically analyzes how VR induces brain reorganization using multimodal neuroimaging and proposes future integration with rehabilitation medicine.

## Key findings

- VR improves upper-limb, lower-limb, and cognitive rehabilitation in stroke patients.
- EEG, fMRI, and fNIRS track neuroplasticity changes caused by VR interventions.
- VR training systems can be tailored to clinical needs through task-oriented and adaptive mechanisms.

## Abstract

What are the main findings?
Virtual reality (VR) technology shows significant application potential in upper-limb function recovery, lower-limb gait balance rehabilitation, and cognitive rehabilitation for stroke patients, and these approaches can induce cerebral functional reorganization via task-oriented training and adaptive feedback mechanisms.Multimodal neuroimaging techniques, namely electroencephalography (EEG), functional magnetic resonance imaging (fMRI), and functional near-infrared spectroscopy (fNIRS), can non-invasively quantify neuroplasticity changes induced by VR intervention.

Virtual reality (VR) technology shows significant application potential in upper-limb function recovery, lower-limb gait balance rehabilitation, and cognitive rehabilitation for stroke patients, and these approaches can induce cerebral functional reorganization via task-oriented training and adaptive feedback mechanisms.

Multimodal neuroimaging techniques, namely electroencephalography (EEG), functional magnetic resonance imaging (fMRI), and functional near-infrared spectroscopy (fNIRS), can non-invasively quantify neuroplasticity changes induced by VR intervention.

What are the implications of the main findings?
The VR-based stroke rehabilitation training system is associated with the mechanism of neuroplasticity, which provides important theoretical support for the development of personalized and accurate clinical rehabilitation programs.

The VR-based stroke rehabilitation training system is associated with the mechanism of neuroplasticity, which provides important theoretical support for the development of personalized and accurate clinical rehabilitation programs.

The paper systematically reviews the application status of virtual reality technology in the rehabilitation of upper-limb movement, lower-limb gait balance, and cognitive function of stroke patients. Based on electroencephalography (EEG), functional magnetic resonance imaging (fMRI), and functional near-infrared spectroscopy (fNIRS), the correlation mechanism of virtual reality promoting brain functional reorganization and neural remodeling is analyzed from the perspective of task-oriented training, reinforcement learning, and neural regulation. The virtual reality rehabilitation scheme can accurately match the actual needs of clinical rehabilitation, and exploring the internal mechanism of its intervention in the dynamic process of rehabilitation is helpful to promote the deep integration of virtual reality technology and rehabilitation medicine. This study integrates high temporal resolution EEG activity data, magnetic resonance imaging spatial positioning information, cerebral hemodynamic data, and virtual reality system behavior data, realizing the systematic quantitative output of rehabilitation effect in the “human-computer” interactive closed loop. Finally, the future development direction is projected from the aspects of system optimization, standard setting, and multi-technology integration to provide a reference for promoting the clinical application and development of virtual reality technology in stroke rehabilitation.