ERP Correlates of Emotional Face Processing in Virtual Reality

Autor: L.A. Kirasirova, A.V. Zakharov, M.V. Morozova, A.Ya. Kaplan, V.P. Pyatin
Rok vydání: 2021
Předmět:
DOI: 10.24412/2500-2295-2021-3-12-19
Popis: Emotion regulation is a popular research topic in social, clinical, cognitive psychology, and neurophysiology. Event-related potentials (ERPs) studies have high temporal resolution and are therefore conventionally used in emotion research to study the patterns of emotion processing. Advances in digital technologies are promoting neuro-psychological research of emotion and attention in virtual reality (VR). In this work, for the first time, we investigated how the presented emotional facial expressions in VR modulate ERP components in conditions of different combinations of passive or active attention and random or linear presentation sequence. We found the higher amplitude of the C1, N170, P2, P3, P4 ERP components in the condition of active attention compared to passive attention during the random presentation of emotional 3D facial expression. During the linear presentation of emotional 3D facial expressions, a statistically significant difference was found only for the C1 ERP component in conditions of both passive and active attention. We proved that the P2 ERP component represents the perception of positive and negative 3D facial expressions encoding the emotional valence of the stimuli. We also found no statistically significant difference in latency of ERP components between passive and active attention to emotional 3D facial expressions.
Databáze: OpenAIRE