This study explores the potential of virtual reality (VR) and brain-computer interfaces (BCIs) in promoting neuroplasticity, the brain's ability to reorganize itself through new neural connections in response to learning, experience, and injury. VR provides a controlled environment to manipulate sensory inputs, while BCIs enable real-time monitoring and modulation of neural activity. Combining VR and BCI allows researchers to stimulate specific brain regions, trigger neurochemical changes, and influence cognitive functions such as memory, perception, and motor skills. Key findings indicate that VR and BCI interventions are promising for rehabilitation therapies, treatment of phobias and anxiety disorders, and cognitive enhancement. Personalized VR experiences, adapted based on BCI feedback, enhance the efficacy of these interventions. The study used the PRISMA method to conduct a systematic review of existing literature on neuroplasticity, VR, and BCI, identifying relevant studies through database searches, screening for eligibility, and assessing study quality. Data extraction focused on the effects of VR and BCI on neuroplasticity and cognitive functions. The PRISMA method ensured a rigorous and transparent approach to synthesizing evidence, allowing the researchers to draw robust conclusions about the potential of VR and BCI technologies in promoting neuroplasticity and cognitive enhancement. The study highlights the potential for integrating VR and BCI technologies to understand and harness neuroplasticity for cognitive and therapeutic applications. VR has shown promise in cognitive rehabilitation, particularly for individuals recovering from strokes, traumatic brain injuries, or neurodegenerative diseases. VR-based interventions can be tailored to target specific deficits, such as improving motor skills, executive functions, or visual-spatial abilities. In the treatment of anxiety disorders, VR exposure therapy has emerged as an effective tool, allowing patients to confront and manage their fears in a controlled, immersive manner. BCIs facilitate cognitive enhancement by enabling neurofeedback training, where individuals learn to self-regulate their brain activity. Neurofeedback involves real-time monitoring of brain signals, typically via EEG, and providing feedback to the user. This process can lead to changes in neural activity patterns, promoting neuroplasticity. BCIs can target specific cognitive deficits, such as those seen in ADHD or age-related cognitive decline. By tailoring neurofeedback protocols to individual neural profiles, BCIs can enhance the effectiveness of interventions. BCIs also hold potential in the treatment of cognitive and emotional disorders. For example, in the context of anxiety and phobias, BCIs can be used to monitor neural markers of anxiety and modulate VR environments in real time to help patients confront and manage their fears in a controlled setting. BCIs can be integrated with VR to create interactive scenarios that adapt in real time to the user's brain activity, optimizing the engagement and effectiveness of the intervention. This approach has been explored in several studies, demonstrating enhanced motor learning and cognitive training outcomes compared to traditional methods. Despite promising advances, the implementation of BCIs in clinical and everyday settingsThis study explores the potential of virtual reality (VR) and brain-computer interfaces (BCIs) in promoting neuroplasticity, the brain's ability to reorganize itself through new neural connections in response to learning, experience, and injury. VR provides a controlled environment to manipulate sensory inputs, while BCIs enable real-time monitoring and modulation of neural activity. Combining VR and BCI allows researchers to stimulate specific brain regions, trigger neurochemical changes, and influence cognitive functions such as memory, perception, and motor skills. Key findings indicate that VR and BCI interventions are promising for rehabilitation therapies, treatment of phobias and anxiety disorders, and cognitive enhancement. Personalized VR experiences, adapted based on BCI feedback, enhance the efficacy of these interventions. The study used the PRISMA method to conduct a systematic review of existing literature on neuroplasticity, VR, and BCI, identifying relevant studies through database searches, screening for eligibility, and assessing study quality. Data extraction focused on the effects of VR and BCI on neuroplasticity and cognitive functions. The PRISMA method ensured a rigorous and transparent approach to synthesizing evidence, allowing the researchers to draw robust conclusions about the potential of VR and BCI technologies in promoting neuroplasticity and cognitive enhancement. The study highlights the potential for integrating VR and BCI technologies to understand and harness neuroplasticity for cognitive and therapeutic applications. VR has shown promise in cognitive rehabilitation, particularly for individuals recovering from strokes, traumatic brain injuries, or neurodegenerative diseases. VR-based interventions can be tailored to target specific deficits, such as improving motor skills, executive functions, or visual-spatial abilities. In the treatment of anxiety disorders, VR exposure therapy has emerged as an effective tool, allowing patients to confront and manage their fears in a controlled, immersive manner. BCIs facilitate cognitive enhancement by enabling neurofeedback training, where individuals learn to self-regulate their brain activity. Neurofeedback involves real-time monitoring of brain signals, typically via EEG, and providing feedback to the user. This process can lead to changes in neural activity patterns, promoting neuroplasticity. BCIs can target specific cognitive deficits, such as those seen in ADHD or age-related cognitive decline. By tailoring neurofeedback protocols to individual neural profiles, BCIs can enhance the effectiveness of interventions. BCIs also hold potential in the treatment of cognitive and emotional disorders. For example, in the context of anxiety and phobias, BCIs can be used to monitor neural markers of anxiety and modulate VR environments in real time to help patients confront and manage their fears in a controlled setting. BCIs can be integrated with VR to create interactive scenarios that adapt in real time to the user's brain activity, optimizing the engagement and effectiveness of the intervention. This approach has been explored in several studies, demonstrating enhanced motor learning and cognitive training outcomes compared to traditional methods. Despite promising advances, the implementation of BCIs in clinical and everyday settings