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Dynamic and static angry faces influence time perception differently—Evidence from ERPs

The dynamic characteristics of facial expressions might affect time perception. Compared with static emotional faces, dynamic emotional faces are more intense, have higher ecological validity, and contain time series information, which may lead to time overestimation. In the present study, we aimed...

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Autores principales: Qu, Fangbing, Shi, Xiaojia, Dai, Jia, Gao, Tianwen, Wang, Hongyan, Gu, Changwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9892707/
https://www.ncbi.nlm.nih.gov/pubmed/36743800
http://dx.doi.org/10.3389/fnins.2023.1124929
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author Qu, Fangbing
Shi, Xiaojia
Dai, Jia
Gao, Tianwen
Wang, Hongyan
Gu, Changwei
author_facet Qu, Fangbing
Shi, Xiaojia
Dai, Jia
Gao, Tianwen
Wang, Hongyan
Gu, Changwei
author_sort Qu, Fangbing
collection PubMed
description The dynamic characteristics of facial expressions might affect time perception. Compared with static emotional faces, dynamic emotional faces are more intense, have higher ecological validity, and contain time series information, which may lead to time overestimation. In the present study, we aimed at investigating how dynamic characteristics of angry facial expressions affect time perception, as measured using event-related potentials (ERPs). Dynamic and static angry and neutral faces with different durations (400, 600, 800, 1000, 1200, 1400, and 1600 ms) were presented in the classical temporal bisection paradigm. Participants were asked to judge whether the duration of the presented face was closer to 400 or 1600 ms. The behavioral results showed a significant overestimation effect for dynamic angry faces compared with static faces, both in terms of proportion of long and Bisection Point. The ERP results indicated that the processing mechanisms are significantly different between judging the duration of dynamic and static angry faces. Dynamic angry faces evoked a larger N2 and Late Positive Potential than did static faces, while the static angry faces evoked a larger P2 and Early Posterior Negativity. The Contingent Negative Variation showed a complex change pattern over time. Our results indicate that dynamic angry facial expressions influence time perception differently than do static faces. Static angry faces were processed earlier and were considered to cause an overestimation of time through early emotional arousal and attentional bias, while dynamic angry faces may have caused the overestimation of time through response inhibition and late sustained attention.
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spelling pubmed-98927072023-02-03 Dynamic and static angry faces influence time perception differently—Evidence from ERPs Qu, Fangbing Shi, Xiaojia Dai, Jia Gao, Tianwen Wang, Hongyan Gu, Changwei Front Neurosci Neuroscience The dynamic characteristics of facial expressions might affect time perception. Compared with static emotional faces, dynamic emotional faces are more intense, have higher ecological validity, and contain time series information, which may lead to time overestimation. In the present study, we aimed at investigating how dynamic characteristics of angry facial expressions affect time perception, as measured using event-related potentials (ERPs). Dynamic and static angry and neutral faces with different durations (400, 600, 800, 1000, 1200, 1400, and 1600 ms) were presented in the classical temporal bisection paradigm. Participants were asked to judge whether the duration of the presented face was closer to 400 or 1600 ms. The behavioral results showed a significant overestimation effect for dynamic angry faces compared with static faces, both in terms of proportion of long and Bisection Point. The ERP results indicated that the processing mechanisms are significantly different between judging the duration of dynamic and static angry faces. Dynamic angry faces evoked a larger N2 and Late Positive Potential than did static faces, while the static angry faces evoked a larger P2 and Early Posterior Negativity. The Contingent Negative Variation showed a complex change pattern over time. Our results indicate that dynamic angry facial expressions influence time perception differently than do static faces. Static angry faces were processed earlier and were considered to cause an overestimation of time through early emotional arousal and attentional bias, while dynamic angry faces may have caused the overestimation of time through response inhibition and late sustained attention. Frontiers Media S.A. 2023-01-19 /pmc/articles/PMC9892707/ /pubmed/36743800 http://dx.doi.org/10.3389/fnins.2023.1124929 Text en Copyright © 2023 Qu, Shi, Dai, Gao, Wang and Gu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Qu, Fangbing
Shi, Xiaojia
Dai, Jia
Gao, Tianwen
Wang, Hongyan
Gu, Changwei
Dynamic and static angry faces influence time perception differently—Evidence from ERPs
title Dynamic and static angry faces influence time perception differently—Evidence from ERPs
title_full Dynamic and static angry faces influence time perception differently—Evidence from ERPs
title_fullStr Dynamic and static angry faces influence time perception differently—Evidence from ERPs
title_full_unstemmed Dynamic and static angry faces influence time perception differently—Evidence from ERPs
title_short Dynamic and static angry faces influence time perception differently—Evidence from ERPs
title_sort dynamic and static angry faces influence time perception differently—evidence from erps
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9892707/
https://www.ncbi.nlm.nih.gov/pubmed/36743800
http://dx.doi.org/10.3389/fnins.2023.1124929
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