Functional Graph Contrastive Learning of Hyperscanning EEG Reveals Emotional Contagion Evoked by Stereotype-Based Stressors

This study delves into the intricacies of emotional contagion and its impact on performance within dyadic interactions. Specifically, it focuses on the context of stereotype-based stress (SBS) during collaborative problem-solving tasks among female pairs. Through an exploration of emotional contagion, the research seeks to unveil its underlying mechanisms and effects. Leveraging EEG-based hyperscanning technology, the study introduces an innovative approach known as functional Graph Contrastive Learning (fGCL), which extracts subject-invariant representations of neural activity patterns. These representations are further subjected to analysis using the Dynamic Graph Classification (DGC) model, aimed at dissecting the process of emotional contagion. By scrutinizing brain synchronization and connectivity, the study reveals the intricate interplay between emotional contagion and cognitive functioning. The results underscore the substantial role of emotional contagion in shaping the trajectories of participants' performance during collaborative tasks in the presence of SBS conditions. Overall, this research contributes invaluable insights into the neural underpinnings of emotional contagion, thereby enriching our comprehension of the complexities underlying social interactions and emotional dynamics.