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Investigating mechanism of the effect of emotional facial expressions on attentional processing by data clustering approach
To explore the mechanism of the effect of emotional facial expression on attentional process, time course and topographic map of Electroencephalographic activities affected by emotional stimuli were investigated. Emotional Stroop task was used to collect 64-channel event-related potentials (ERP) in...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10113223/ https://www.ncbi.nlm.nih.gov/pubmed/37072466 http://dx.doi.org/10.1038/s41598-023-33197-w |
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author | Li, Yuezhi Zhao, Weifeng Peng, Xiaobo |
author_facet | Li, Yuezhi Zhao, Weifeng Peng, Xiaobo |
author_sort | Li, Yuezhi |
collection | PubMed |
description | To explore the mechanism of the effect of emotional facial expression on attentional process, time course and topographic map of Electroencephalographic activities affected by emotional stimuli were investigated. Emotional Stroop task was used to collect 64-channel event-related potentials (ERP) in nonclinical participants, and data clustering was applied to find significant effect of sad and happy facial expression on ERP. Several significant ERP clusters were found in the sad and happy conditions respectively. In the sad condition, the decreased N170 in the bilateral parietooccipital areas, the increased P3 in the right centroparietal region and the increased negative deflection between 600 and 650 ms in the prefrontal regions were observed, these alterations reflected inhibited perceptual processing of sad facial expression, and increased activations of the orienting network and the executive control network in attentional system, respectively. In the happy condition, increased negative slow wave was found in the left centroparietal region indicating strengthened awareness and readiness for successive trials. Importantly, nonpathological attentional bias to sad facial expression in nonclinical participants was associated with inhibited perceptual processing and increased activations of the orienting and executive control networks. It provides the basis for better understanding and application of attentional bias in psychiatric clinical utilization. |
format | Online Article Text |
id | pubmed-10113223 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101132232023-04-20 Investigating mechanism of the effect of emotional facial expressions on attentional processing by data clustering approach Li, Yuezhi Zhao, Weifeng Peng, Xiaobo Sci Rep Article To explore the mechanism of the effect of emotional facial expression on attentional process, time course and topographic map of Electroencephalographic activities affected by emotional stimuli were investigated. Emotional Stroop task was used to collect 64-channel event-related potentials (ERP) in nonclinical participants, and data clustering was applied to find significant effect of sad and happy facial expression on ERP. Several significant ERP clusters were found in the sad and happy conditions respectively. In the sad condition, the decreased N170 in the bilateral parietooccipital areas, the increased P3 in the right centroparietal region and the increased negative deflection between 600 and 650 ms in the prefrontal regions were observed, these alterations reflected inhibited perceptual processing of sad facial expression, and increased activations of the orienting network and the executive control network in attentional system, respectively. In the happy condition, increased negative slow wave was found in the left centroparietal region indicating strengthened awareness and readiness for successive trials. Importantly, nonpathological attentional bias to sad facial expression in nonclinical participants was associated with inhibited perceptual processing and increased activations of the orienting and executive control networks. It provides the basis for better understanding and application of attentional bias in psychiatric clinical utilization. Nature Publishing Group UK 2023-04-18 /pmc/articles/PMC10113223/ /pubmed/37072466 http://dx.doi.org/10.1038/s41598-023-33197-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Li, Yuezhi Zhao, Weifeng Peng, Xiaobo Investigating mechanism of the effect of emotional facial expressions on attentional processing by data clustering approach |
title | Investigating mechanism of the effect of emotional facial expressions on attentional processing by data clustering approach |
title_full | Investigating mechanism of the effect of emotional facial expressions on attentional processing by data clustering approach |
title_fullStr | Investigating mechanism of the effect of emotional facial expressions on attentional processing by data clustering approach |
title_full_unstemmed | Investigating mechanism of the effect of emotional facial expressions on attentional processing by data clustering approach |
title_short | Investigating mechanism of the effect of emotional facial expressions on attentional processing by data clustering approach |
title_sort | investigating mechanism of the effect of emotional facial expressions on attentional processing by data clustering approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10113223/ https://www.ncbi.nlm.nih.gov/pubmed/37072466 http://dx.doi.org/10.1038/s41598-023-33197-w |
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