Consistent behavioral and electrophysiological evidence for rapid perceptual discrimination among the six human basic facial expressions

• Published in: Cognitive, affective, & behavioral neuroscience affective, & behavioral neuroscience, 2020-10, Vol.20 (5), p.928-948
• Main Authors: Luo, Qiuling, Dzhelyova, Milena
• Format: Article
• Language: English
• Subjects: Anger; Behavioral Science and Psychology; Cognitive Psychology; EEG; Electroencephalography; Emotions; Functional magnetic resonance imaging; Happiness; Information processing; Labeling; Neural coding; Neurosciences; Psychology
• ISSN: 1530-7026; 1531-135X
• DOI: 10.3758/s13415-020-00811-7

The extent to which the six basic human facial expressions perceptually differ from one another remains controversial. For instance, despite the importance of rapidly decoding fearful faces, this expression often is confused with other expressions, such as Surprise in explicit behavioral categorization tasks. We quantified implicit visual discrimination among rapidly presented facial expressions with an oddball periodic visual stimulation approach combined with electroencephalography (EEG), testing for the relationship with behavioral explicit measures of facial emotion discrimination. We report robust facial expression discrimination responses bilaterally over the occipito-temporal cortex for each pairwise expression change. While fearful faces presented as repeated stimuli led to the smallest deviant responses from all other basic expressions, deviant fearful faces were well discriminated overall and to a larger extent than expressions of Sadness and Anger. Expressions of Happiness did not differ quantitatively as much in EEG as for behavioral subjective judgments, suggesting that the clear dissociation between happy and other expressions, typically observed in behavioral studies, reflects higher-order processes. However, this expression differed from all others in terms of scalp topography, pointing to a qualitative rather than quantitative difference. Despite this difference, overall, we report for the first time a tight relationship of the similarity matrices across facial expressions obtained for implicit EEG responses and behavioral explicit measures collected under the same temporal constraints, paving the way for new approaches of understanding facial expression discrimination in developmental, intercultural, and clinical populations.