Electrophysiological Evidence reveals Differences between the Recognition of Microexpressions and Macroexpressions

Microexpressions are fleeting facial expressions that are important for judging people’s true emotions. Little is known about the neural mechanisms underlying the recognition of microexpressions (with duration of less than 200 ms) and macroexpressions (with duration of greater than 200 ms). We used...

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Main Authors: Xunbing Shen, Qi Wu, Ke Zhao, Xiaolan Fu
Format: Article
Language:English
Published: Frontiers Media S.A. 2016-08-01
Series:Frontiers in Psychology
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fpsyg.2016.01346/full
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spelling doaj-07bacbf27f1543ce9353cfc03d51c6d82020-11-24T20:43:02ZengFrontiers Media S.A.Frontiers in Psychology1664-10782016-08-01710.3389/fpsyg.2016.01346206525Electrophysiological Evidence reveals Differences between the Recognition of Microexpressions and MacroexpressionsXunbing Shen0Xunbing Shen1Qi Wu2Qi Wu3Ke Zhao4Xiaolan Fu5Jiangxi University of Traditional Chinese MedicineInstitute of Psychology, Chinese Academy of SciencesInstitute of Psychology, Chinese Academy of SciencesHunan Normal UniversityInstitute of Psychology, Chinese Academy of SciencesInstitute of Psychology, Chinese Academy of SciencesMicroexpressions are fleeting facial expressions that are important for judging people’s true emotions. Little is known about the neural mechanisms underlying the recognition of microexpressions (with duration of less than 200 ms) and macroexpressions (with duration of greater than 200 ms). We used an affective priming paradigm in which a picture of a facial expression is the prime and an emotional word is the target, and electroencephalogram (EEG) and event-related potentials (ERPs) to examine neural activities associated with recognizing microexpressions and macroexpressions. The results showed that there were significant main effects of duration and valence for N170/VPP. The main effect of congruence for N400 is also significant. Further, sLORETA showed that the brain regions responsible for these significant differences included the inferior temporal gyrus and widespread regions of the frontal lobe. Furthermore, the results suggested that the left hemisphere was more involved than the right hemisphere in processing a microexpression. The main effect of duration for the event-related spectral perturbation (ERSP) was significant, and the theta oscillations (4 Hz to 8 Hz) increased in recognizing expressions with a duration of 40 ms compared with 300 ms. Thus, there are different EEG/ERPs neural mechanisms for recognizing microexpressions compared to recognizing macroexpressions.http://journal.frontiersin.org/Journal/10.3389/fpsyg.2016.01346/fullrecognitionERSPsLORETAEEG/ERPsmicroexpressionmacroexpression
collection DOAJ
language English
format Article
sources DOAJ
author Xunbing Shen
Xunbing Shen
Qi Wu
Qi Wu
Ke Zhao
Xiaolan Fu
spellingShingle Xunbing Shen
Xunbing Shen
Qi Wu
Qi Wu
Ke Zhao
Xiaolan Fu
Electrophysiological Evidence reveals Differences between the Recognition of Microexpressions and Macroexpressions
Frontiers in Psychology
recognition
ERSP
sLORETA
EEG/ERPs
microexpression
macroexpression
author_facet Xunbing Shen
Xunbing Shen
Qi Wu
Qi Wu
Ke Zhao
Xiaolan Fu
author_sort Xunbing Shen
title Electrophysiological Evidence reveals Differences between the Recognition of Microexpressions and Macroexpressions
title_short Electrophysiological Evidence reveals Differences between the Recognition of Microexpressions and Macroexpressions
title_full Electrophysiological Evidence reveals Differences between the Recognition of Microexpressions and Macroexpressions
title_fullStr Electrophysiological Evidence reveals Differences between the Recognition of Microexpressions and Macroexpressions
title_full_unstemmed Electrophysiological Evidence reveals Differences between the Recognition of Microexpressions and Macroexpressions
title_sort electrophysiological evidence reveals differences between the recognition of microexpressions and macroexpressions
publisher Frontiers Media S.A.
series Frontiers in Psychology
issn 1664-1078
publishDate 2016-08-01
description Microexpressions are fleeting facial expressions that are important for judging people’s true emotions. Little is known about the neural mechanisms underlying the recognition of microexpressions (with duration of less than 200 ms) and macroexpressions (with duration of greater than 200 ms). We used an affective priming paradigm in which a picture of a facial expression is the prime and an emotional word is the target, and electroencephalogram (EEG) and event-related potentials (ERPs) to examine neural activities associated with recognizing microexpressions and macroexpressions. The results showed that there were significant main effects of duration and valence for N170/VPP. The main effect of congruence for N400 is also significant. Further, sLORETA showed that the brain regions responsible for these significant differences included the inferior temporal gyrus and widespread regions of the frontal lobe. Furthermore, the results suggested that the left hemisphere was more involved than the right hemisphere in processing a microexpression. The main effect of duration for the event-related spectral perturbation (ERSP) was significant, and the theta oscillations (4 Hz to 8 Hz) increased in recognizing expressions with a duration of 40 ms compared with 300 ms. Thus, there are different EEG/ERPs neural mechanisms for recognizing microexpressions compared to recognizing macroexpressions.
topic recognition
ERSP
sLORETA
EEG/ERPs
microexpression
macroexpression
url http://journal.frontiersin.org/Journal/10.3389/fpsyg.2016.01346/full
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AT qiwu electrophysiologicalevidencerevealsdifferencesbetweentherecognitionofmicroexpressionsandmacroexpressions
AT qiwu electrophysiologicalevidencerevealsdifferencesbetweentherecognitionofmicroexpressionsandmacroexpressions
AT kezhao electrophysiologicalevidencerevealsdifferencesbetweentherecognitionofmicroexpressionsandmacroexpressions
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