## 3 Results
### Neurorehabilitation  
Research has indicated that the use of virtual reality tools in cognitive rehabilitation programs can benefit individuals with mild cognitive impairment and Alzheimer's disease. The interactive and immersive qualities of virtual reality have been found to support interventions aimed at addressing behavioral and psychological symptoms in this population [60]. Another review article discusses how virtual reality can be integrated with brain-computer interfaces to enhance neurorehabilitation for patients with motor and cognitive deficits. The integration of VR with BCI technology provides an immersive and interactive environment that can drive neuroplasticity and facilitate the recovery of physical and cognitive functions in patients undergoing neurorehabilitation. This integrated approach utilizes the benefits of both virtual reality and brain-computer interfaces to develop customized and engaging rehabilitation programs for individuals with motor and cognitive deficits [3]. The study described in \"BCI-VR-Based Hand Soft Rehabilitation System with Its Applications in Hand Rehabilitation After Stroke\" examines a novel hand rehabilitation system for stroke patients. The system combines a brain-computer interface that allows patient control, a soft hand rehabilitation glove that provides physical support, and a virtual reality environment for engaging in rehabilitation training. The researchers tested their system on 11 stroke patients and found that it was effective in improving hand motor function, muscle strength, and muscle tension. They suggest that this system is a promising new approach for hand rehabilitation after stroke [61]. The research presented in \"Clinical Effects of Immersive Multimodal BCI-VR Training after Bilateral Neuromodulation with rTMS on Upper Limb Motor Recovery after Stroke. A Study Protocol for a Randomized Controlled Trial\" investigates the effectiveness of a specific rehabilitation program for stroke patients. This program combines brain stimulation (rTMS) with immersive virtual reality training controlled by a brain-computer interface. The study aims to determine if this combined approach is more effective than rTMS paired with conventional motor imagery tasks in improving upper limb motor function after a stroke [62; 63]. [PERSON] discusses the potential of combining brain-computer Interface technology with virtual reality for neurorehabilitation and human-computer interaction. While this integration shows promise, the article highlights challenges such as accurately decoding brain signals and the limitations of recognizable motion commands. The article emphasizes that integrating multiple BCI paradigms and incorporating biosensors like eye-tracking and motion capture can help overcome these obstacles. It also points to the significant role of Artificial Intelligence in improving neural activity analysis and decoding for BCI-VR applications [57]. The article \"ChatGPT and BCI-VR: a new integrated diagnostic and therapeutic perspective for the accurate diagnosis and personalized treatment of mild cognitive impairment\" presents a promising approach to addressing the challenges in diagnosing and treating mild cognitive impairment. The authors propose an innovative integration of brain-computer interface technology, virtual reality, and the advanced language model ChatGPT. This integrated system aims to provide a more comprehensive and personalized solution for MCI assessment and intervention. By leveraging BCI and VR, the approach would create an interactive and immersive environment that can dynamically respond to the user's cognitive abilities, allowing for a more accurate and nuanced evaluation of MCI symptoms. Furthermore, the integration of ChatGPT's natural language processing and machine learning capabilities enables the system to analyze patient data in depth, identify specific cognitive deficits, and tailor the treatment plan accordingly.