Literature DB >> 19428681

Phased processing of facial emotion: an ERP study.

Nugraha P Utama1, Atsushi Takemoto, Yasuharu Koike, Katsuki Nakamura.   

Abstract

We examined the temporal characteristics of facial-emotion processing. The stimuli were several morphed images containing seven facial emotions (neutral, anger, happiness, disgust, sadness, surprise, and fear) and ten-graded intensity levels to parametrically control these aspects of facial emotions. Brain activity was recorded with electroencephalography as the subjects detected the facial emotion and assessed its intensity. We found that the temporal profile of detection was quite different from the assessment of intensity. A positive component 100 ms after stimulus onset (P100) was significantly correlated with the correct detection of facial emotion, whereas a negative component 170 ms after stimulus onset (N170) was significantly correlated with the assessment of intensity level. The source of both the P100 and N170 signals was consistently localized to the right occipito-parietal region. We propose phased processing of facial emotion, in which rapid detection of any facial emotion occurs within 100 ms and detailed processing, including the assessment of the intensity, occurs shortly afterwards.

Mesh:

Year:  2009        PMID: 19428681     DOI: 10.1016/j.neures.2009.01.009

Source DB:  PubMed          Journal:  Neurosci Res        ISSN: 0168-0102            Impact factor:   3.304


  14 in total

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5.  Autistic traits modulate conscious and nonconscious face perception.

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Authors:  Aleksandra Klimova; Richard A Bryant; Leanne M Williams; Kim Louise Felmingham
Journal:  Eur J Psychotraumatol       Date:  2013-09-04

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Authors:  Austyn J Tempesta; Claire E Miller; Vladimir Litvak; Howard Bowman; Andrew J Schofield
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9.  The time course of emotional picture processing: an event-related potential study using a rapid serial visual presentation paradigm.

Authors:  Chuanlin Zhu; Weiqi He; Zhengyang Qi; Lili Wang; Dongqing Song; Lei Zhan; Shengnan Yi; Yuejia Luo; Wenbo Luo
Journal:  Front Psychol       Date:  2015-07-09

10.  A brain-computer interface for potential non-verbal facial communication based on EEG signals related to specific emotions.

Authors:  Koji Kashihara
Journal:  Front Neurosci       Date:  2014-08-26       Impact factor: 4.677

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