External (Versus Internal) Facial Features Contribute Most to Repetition Priming in Facial Recognition: ERP Evidence.


Journal

Perceptual and motor skills
ISSN: 1558-688X
Titre abrégé: Percept Mot Skills
Pays: United States
ID NLM: 0401131

Informations de publication

Date de publication:
Feb 2021
Historique:
pubmed: 26 9 2020
medline: 28 4 2021
entrez: 25 9 2020
Statut: ppublish

Résumé

Previous event-related potential (ERP) research demonstrated four successive ERP components in the repetition priming of human face recognition: P100, N170, N250r, and N400. While these components correspond, respectively, to the four stages proposed by the interactive activation and competition (IAC) model, there has been no emphasis in past research on how internal and external facial features affect repetition priming and the sensitivity of these ERP components to item interval. This study was designed to address these issues. We used faces of celebrities as targets, including completely familiar faces, familiar internal feature faces, and familiar external feature faces. We displayed a target face either immediately following its prime (immediate repetition) or after a delay with interference from a presentation of two other faces (delayed repetition). ERP differences at P100 and N170 were nearly statistically non-significant; familiar faces and familiar external feature faces were associated with reliable ERP signals of N250r and N400 in the immediate repetition condition. For delayed repetition, however, N250r and N400 signals were only preserved for the familiar external feature faces. The differences of these ERP components suggest that, compared with internal facial features, external features of a previously presented face contribute more to brain-based facial repetition priming, particularly during the last two stages of the IAC model.

Identifiants

pubmed: 32972292
doi: 10.1177/0031512520957150
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

15-47

Auteurs

Aiqing Nie (A)

Department of Psychology and Behavioral Sciences, 12377Zhejiang University, Hangzhou, China.

Yao Yu (Y)

Department of Psychology and Behavioral Sciences, 12377Zhejiang University, Hangzhou, China.

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Classifications MeSH