Abstract
Previous studies have shown that early posterior components of event-related potentials (ERPs) are modulated by facial expressions. The goal of the current study was to investigate individual differences in the recognition of facial expressions by examining the relationship between ERP components and the discrimination of facial expressions. Pictures of 3 facial expressions (angry, happy, and neutral) were presented to 36 young adults during ERP recording. Participants were asked to respond with a button press as soon as they recognized the expression depicted. A multiple regression analysis, where ERP components were set as predictor variables, assessed hits and reaction times in response to the facial expressions as dependent variables. The N170 amplitudes significantly predicted for accuracy of angry and happy expressions, and the N170 latencies were predictive for accuracy of neutral expressions. The P2 amplitudes significantly predicted reaction time. The P2 latencies significantly predicted reaction times only for neutral faces. These results suggest that individual differences in the recognition of facial expressions emerge from early components in visual processing.
Highlights
The goal of the current study was to investigate individual differences in neural activity related to recognition of facial expressions
The current study examined the role of individual differences in neural activity in the recognition of facial expressions
We examined whether facial expression discrimination was associated with early event-related potentials (ERPs) components: N170 and P2
Summary
The goal of the current study was to investigate individual differences in neural activity related to recognition of facial expressions. Some people are good at recognizing facial expressions, but others are not. Previous studies have suggested that individuals with brain damage [1] or schizophrenia [2] have difficulty in recognizing facial expressions and that there are individual differences in recognition among healthy adults. Age [3], gender [4], personality, and mental states [5], affect recognition of facial expressions. The neural basis of these individual differences has not been clarified. The current study examined the role of individual differences in neural activity in the recognition of facial expressions
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