The field of brain-computer interfaces (BCIs) is moving towards more precise and immersive interactions, particularly in virtual reality (VR) environments. Researchers are exploring the use of electroencephalography (EEG) to capture mental states such as time perception, emotion, and attention, allowing for more adaptive and interactive VR experiences. Noteworthy papers in this area include: Brain Signatures of Time Perception in Virtual Reality, which found clear EEG spectral signatures for time perception states that can be used to monitor and influence user experience. PlugSelect: Pruning Channels with Plug-and-Play Flexibility for Electroencephalography-based Brain Computer Interface, which proposed a novel channel pruning model that can reduce the number of EEG channels while maintaining decoding performance. Time-varying EEG spectral power predicts evoked and spontaneous fMRI motor brain activity, which demonstrated the ability to predict fMRI motor brain activity from EEG recordings alone. On Error Classification from Physiological Signals within Airborne Environment, which showed that EEG-based error detection can maintain high accuracy in dynamic flight environments.