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Facial identity influences facial expression recognition: A high-density ERP study.
Komatsu, Sahoko; Yamada, Emi; Ogata, Katsuya; Horie, Shizuka; Hakoda, Yuji; Tobimatsu, Shozo.
Afiliación
  • Komatsu S; Department of Clinical Neurophysiology, Neurological Institute, Faculty of Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan; Faculty of Welfare and Information, Tokuyama University, Gakuendai, Shunan, Yamaguchi 745-8566, Japan.
  • Yamada E; Department of Clinical Neurophysiology, Neurological Institute, Faculty of Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan. Electronic address: e.yamada@kyudai.jp.
  • Ogata K; Department of Clinical Neurophysiology, Neurological Institute, Faculty of Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan.
  • Horie S; Department of Clinical Neurophysiology, Neurological Institute, Faculty of Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan.
  • Hakoda Y; Faculty of Human Development and Education, Kyoto Woman's University, Kyoto 605-8501, Japan.
  • Tobimatsu S; Department of Clinical Neurophysiology, Neurological Institute, Faculty of Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan.
Neurosci Lett ; 725: 134911, 2020 04 23.
Article en En | MEDLINE | ID: mdl-32171804
The relationship between facial identity and facial expression processing has long been debated. Although previous facial recognition models indicate that facial identity and facial expression processing are independent, psychological studies using the selective attention task (the Garner paradigm) have revealed an asymmetrical relationship between the perception of identity and emotional expressions in faces: while facial expression does not influence facial identity recognition, facial identity influences facial expression recognition. We used the Garner paradigm and recorded high-density event-related potentials (ERPs) to investigate the influence of facial identity on facial expression recognition. Twenty participants judged the expression of faces, while the irrelevant dimension of identity was either held constant (control condition) or varied (orthogonal condition). We recorded 128-channel EEGs while participants completed the facial expression task. We analyzed the two major components of early visual stages: P1 and N170. ERP results revealed a significant main effect of condition on the N170 latency. These results suggest that facial identity influences facial expression recognition in the N170 that reflects the structural encoding of faces. Thus, information on facial expression might be computed based on the unique structure of individual faces.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Reconocimiento Visual de Modelos / Estimulación Luminosa / Potenciales Evocados Visuales / Expresión Facial / Reconocimiento Facial Límite: Adult / Female / Humans / Male Idioma: En Revista: Neurosci Lett Año: 2020 Tipo del documento: Article País de afiliación: Japón

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Reconocimiento Visual de Modelos / Estimulación Luminosa / Potenciales Evocados Visuales / Expresión Facial / Reconocimiento Facial Límite: Adult / Female / Humans / Male Idioma: En Revista: Neurosci Lett Año: 2020 Tipo del documento: Article País de afiliación: Japón
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