title: Face-body integration of intense emotional expressions of victory and defeat.
abstract: Human facial expressions can be recognized rapidly and effortlessly. However, for intense emotions from real life, positive and negative facial expressions are difficult to discriminate and the judgment of facial expressions is biased towards simultaneously perceived body expressions. This study employed event-related potentials (ERPs) to investigate the neural dynamics involved in the integration of emotional signals from facial and body expressions of victory and defeat. Emotional expressions of professional players were used to create pictures of face-body compounds, with either matched or mismatched emotional expressions in faces and bodies. Behavioral results showed that congruent emotional information of face and body facilitated the recognition of facial expressions. ERP data revealed larger P1 amplitudes for incongruent compared to congruent stimuli. Also, a main effect of body valence on the P1 was observed, with enhanced amplitudes for the stimuli with losing compared to winning bodies. The main effect of body expression was also observed in N170 and N2, with winning bodies producing larger N170/N2 amplitudes. In the later stage, a significant interaction of congruence by body valence was found on the P3 component. Winning bodies elicited lager P3 amplitudes than losing bodies did when face and body conveyed congruent emotional signals. Beyond the knowledge based on prototypical facial and body expressions, the results of this study facilitate us to understand the complexity of emotion evaluation and categorization out of laboratory.
authors.affiliation: School of Educational Science, Huaiyin Normal University, Huaian, China.
authors.forename: Lili
authors.initials: L
authors.lastname: Wang
authors.affiliation: Institute of Affective and Social Neuroscience, Shenzhen University, Shenzhen, China.
authors.forename: Lisheng
authors.initials: L
authors.lastname: Xia
authors.affiliation: Institute of Affective and Social Neuroscience, Shenzhen University, Shenzhen, China.|State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
authors.forename: Dandan
authors.initials: D
authors.lastname: Zhang
mesh_terms: D000293:Adolescent; D000328:Adult; D000704:Analysis of Variance; D004569:Electroencephalography; D004594:Electrophysiology; D004644:Emotions; D005071:Evoked Potentials; D005074:Evoked Potentials, Visual; D005145:Face; D005149:Facial Expression; D005260:Female; D018594:Human Body; D006801:Humans; D008297:Male; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology; D010364:Pattern Recognition, Visual; D010775:Photic Stimulation / Q000379:methods*; D011930:Reaction Time; D015203:Reproducibility of Results; D055815:Young Adult