Amélie Roberge, Justin Duncan, Daniel Fiset, Benoit Brisson
{"title":"EEG assessment of the impacts of race and implicit bias on facial expression processing.","authors":"Amélie Roberge, Justin Duncan, Daniel Fiset, Benoit Brisson","doi":"10.1093/scan/nsaf024","DOIUrl":null,"url":null,"abstract":"<p><p>Apparent race of a face impacts processing efficiency, typically leading to an own-race advantage. For instance, own-race facial expressions are more accurately recognized, and their intensity better appraised, compared to other-race faces. Furthermore, these effects appear susceptible to implicit bias. Here, we aimed to better understand impacts of race and implicit racial bias on facial expression processing by looking at automatic and nonautomatic expression processing stages. To this end, scalp electroencephalography was recorded off a group of White participants while they completed a psychological refractory period dual-task paradigm in which they viewed neutral or fearful White (i.e. own-race) and Black (i.e. other-race) faces. Results showed that, irrespective of race, early perceptual expression processing indexed by the N170 event-related potential was independent of central attention resources and racial attitudes. On the other hand, later emotional content evaluation indexed by the late positive potential (LPP) was dependent on central resources. Furthermore, negative attitudes toward Black individuals amplified LPP emotional response to White (vs. Black) faces irrespective of central attention resources. Thus, it seems it is racial bias, more than race per se, that impacts facial expression processing, but this effect only manifests itself during later semantic processing of facial expression content.</p>","PeriodicalId":94208,"journal":{"name":"Social cognitive and affective neuroscience","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11932147/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Social cognitive and affective neuroscience","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/scan/nsaf024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Apparent race of a face impacts processing efficiency, typically leading to an own-race advantage. For instance, own-race facial expressions are more accurately recognized, and their intensity better appraised, compared to other-race faces. Furthermore, these effects appear susceptible to implicit bias. Here, we aimed to better understand impacts of race and implicit racial bias on facial expression processing by looking at automatic and nonautomatic expression processing stages. To this end, scalp electroencephalography was recorded off a group of White participants while they completed a psychological refractory period dual-task paradigm in which they viewed neutral or fearful White (i.e. own-race) and Black (i.e. other-race) faces. Results showed that, irrespective of race, early perceptual expression processing indexed by the N170 event-related potential was independent of central attention resources and racial attitudes. On the other hand, later emotional content evaluation indexed by the late positive potential (LPP) was dependent on central resources. Furthermore, negative attitudes toward Black individuals amplified LPP emotional response to White (vs. Black) faces irrespective of central attention resources. Thus, it seems it is racial bias, more than race per se, that impacts facial expression processing, but this effect only manifests itself during later semantic processing of facial expression content.