Integrating brain-computer interfaces (BCIs) with virtual reality (VR) technologies opens new perspectives for training systems, particularly by enhancing immersion and learning effectiveness. This paper presents a prototype implementation of mind-controlled navigation within an existing VR training system developed in Unity, using the Emotiv Epoc X device as an optional input method. The approach enables users to control movement and interact with virtual objects using EEG signals, offering an alternative to traditional controllers. The implementation includes hardware and software integration, mapping brain signals to specific VR actions, and ensuring compatibility with the existing system architecture. The paper presents the system architecture, integration process, implementation challenges, and applied solutions in detail.