Breakthrough percepts of famous faces.


Journal

Psychophysiology
ISSN: 1540-5958
Titre abrégé: Psychophysiology
Pays: United States
ID NLM: 0142657

Informations de publication

Date de publication:
01 2019
Historique:
received: 30 09 2017
revised: 09 07 2018
accepted: 11 07 2018
pubmed: 6 10 2018
medline: 3 3 2020
entrez: 6 10 2018
Statut: ppublish

Résumé

Recently, we showed that presenting salient names (i.e., a participant's first name) on the fringe of awareness (in rapid serial visual presentation, RSVP) breaks through into awareness, resulting in the generation of a P3, which (if concealed information is presented) could be used to differentiate between deceivers and nondeceivers. The aim of the present study was to explore whether face stimuli can be used in an ERP-based RSVP paradigm to infer recognition of broadly familiar faces. To do this, we explored whether famous faces differentially break into awareness when presented in RSVP and, importantly, whether ERPs can be used to detect these breakthrough events on an individual basis. Our findings provide evidence that famous faces are differentially perceived and processed by participants' brains as compared to novel (or unfamiliar) faces. EEG data revealed large differences in brain responses between these conditions.

Identifiants

pubmed: 30288755
doi: 10.1111/psyp.13279
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e13279

Informations de copyright

© 2018 Society for Psychophysiological Research.

Auteurs

Abdulmajeed Alsufyani (A)

Department of Computer Science, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia.

Omid Hajilou (O)

School of Computing, University of Kent, Canterbury, UK.

Alexia Zoumpoulaki (A)

School of Computer Science and Informatics, Cardiff University, Cardiff, UK.

Marco Filetti (M)

Helsinki Institute for Information Technology, University of Helsinki, Helsinki, Finland.

Hamed Alsufyani (H)

School of Engineering and Digital Arts, University of Kent, Canterbury, UK.

Christopher J Solomon (CJ)

School of Physical Sciences, University of Kent, Canterbury, UK.

Stuart J Gibson (SJ)

School of Physical Sciences, University of Kent, Canterbury, UK.

Roobaea Alroobaea (R)

Department of Computer Science, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia.

Howard Bowman (H)

School of Computing, University of Kent, Canterbury, UK.
Department of Psychology, University of Birmingham, Birmingham, UK.

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Classifications MeSH