Graph-theoretical analysis of EEG-based functional connectivity during emotional experience in virtual reality for emotion recognition.

ABSTRACT: Virtual reality (VR) technologies can induce realistic emotions in controlled experimental settings, offering unprecedented opportunities to study how the human brain processes emotions under real-world conditions. The integration of VR experiences with electroencephalography (EEG) provides a promising potential for gaining novel insights into individual emotional states. However, the complex network dynamics underlying human emotions during VR experiences remain largely unexplored. To address this gap, we leveraged graph-theoretical approaches to investigate functional brain networks derived from EEG signals recorded during immersive VR experiments. We assessed key topological properties of functional brain networks across multiple frequency bands (delta, theta, alpha, beta, gamma, and hi

SUBMITTER: Jo HJ 

PROVIDER: S-EPMC12618519 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature