Functional graph contrastive learning of hyperscanning EEG reveals emotional contagion evoked by stereotype-based stressors
This study delves into the intricacies of emotional contagion and its impact on performance within dyadic interactions. Specifically, it focuses on the context of stereotype-based stress (SBS) during collaborative problem-solving tasks among female pairs. Through an exploration of emotional contagio...
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Published in | Frontiers in human neuroscience Vol. 17; p. 1298845 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Switzerland
Frontiers Research Foundation
22.11.2023
Frontiers Media S.A |
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Online Access | Get full text |
ISSN | 1662-5161 1662-5161 |
DOI | 10.3389/fnhum.2023.1298845 |
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Abstract | This study delves into the intricacies of emotional contagion and its impact on performance within dyadic interactions. Specifically, it focuses on the context of stereotype-based stress (SBS) during collaborative problem-solving tasks among female pairs. Through an exploration of emotional contagion, this study seeks to unveil its underlying mechanisms and effects.
Leveraging EEG-based hyperscanning technology, we introduced an innovative approach known as the functional graph contrastive learning (fGCL), which extracts subject-invariant representations of neural activity patterns from feedback trials. These representations are further subjected to analysis using the dynamic graph classification (DGC) model, aimed at dissecting the process of emotional contagion along three independent temporal stages.
The results underscore the substantial role of emotional contagion in shaping the trajectories of participants' performance during collaborative tasks in the presence of SBS conditions.
Overall, our research contributes invaluable insights into the neural underpinnings of emotional contagion, thereby enriching our comprehension of the complexities underlying social interactions and emotional dynamics. |
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AbstractList | This study delves into the intricacies of emotional contagion and its impact on performance within dyadic interactions. Specifically, it focuses on the context of stereotype-based stress (SBS) during collaborative problem-solving tasks among female pairs. Through an exploration of emotional contagion, this study seeks to unveil its underlying mechanisms and effects.IntroductionThis study delves into the intricacies of emotional contagion and its impact on performance within dyadic interactions. Specifically, it focuses on the context of stereotype-based stress (SBS) during collaborative problem-solving tasks among female pairs. Through an exploration of emotional contagion, this study seeks to unveil its underlying mechanisms and effects.Leveraging EEG-based hyperscanning technology, we introduced an innovative approach known as the functional graph contrastive learning (fGCL), which extracts subject-invariant representations of neural activity patterns from feedback trials. These representations are further subjected to analysis using the dynamic graph classification (DGC) model, aimed at dissecting the process of emotional contagion along three independent temporal stages.MethodsLeveraging EEG-based hyperscanning technology, we introduced an innovative approach known as the functional graph contrastive learning (fGCL), which extracts subject-invariant representations of neural activity patterns from feedback trials. These representations are further subjected to analysis using the dynamic graph classification (DGC) model, aimed at dissecting the process of emotional contagion along three independent temporal stages.The results underscore the substantial role of emotional contagion in shaping the trajectories of participants' performance during collaborative tasks in the presence of SBS conditions.ResultsThe results underscore the substantial role of emotional contagion in shaping the trajectories of participants' performance during collaborative tasks in the presence of SBS conditions.Overall, our research contributes invaluable insights into the neural underpinnings of emotional contagion, thereby enriching our comprehension of the complexities underlying social interactions and emotional dynamics.DiscussionOverall, our research contributes invaluable insights into the neural underpinnings of emotional contagion, thereby enriching our comprehension of the complexities underlying social interactions and emotional dynamics. IntroductionThis study delves into the intricacies of emotional contagion and its impact on performance within dyadic interactions. Specifically, it focuses on the context of stereotype-based stress (SBS) during collaborative problem-solving tasks among female pairs. Through an exploration of emotional contagion, this study seeks to unveil its underlying mechanisms and effects.MethodsLeveraging EEG-based hyperscanning technology, we introduced an innovative approach known as the functional graph contrastive learning (fGCL), which extracts subject-invariant representations of neural activity patterns from feedback trials. These representations are further subjected to analysis using the dynamic graph classification (DGC) model, aimed at dissecting the process of emotional contagion along three independent temporal stages.ResultsThe results underscore the substantial role of emotional contagion in shaping the trajectories of participants' performance during collaborative tasks in the presence of SBS conditions.DiscussionOverall, our research contributes invaluable insights into the neural underpinnings of emotional contagion, thereby enriching our comprehension of the complexities underlying social interactions and emotional dynamics. This study delves into the intricacies of emotional contagion and its impact on performance within dyadic interactions. Specifically, it focuses on the context of stereotype-based stress (SBS) during collaborative problem-solving tasks among female pairs. Through an exploration of emotional contagion, this study seeks to unveil its underlying mechanisms and effects. Leveraging EEG-based hyperscanning technology, we introduced an innovative approach known as the functional graph contrastive learning (fGCL), which extracts subject-invariant representations of neural activity patterns from feedback trials. These representations are further subjected to analysis using the dynamic graph classification (DGC) model, aimed at dissecting the process of emotional contagion along three independent temporal stages. The results underscore the substantial role of emotional contagion in shaping the trajectories of participants' performance during collaborative tasks in the presence of SBS conditions. Overall, our research contributes invaluable insights into the neural underpinnings of emotional contagion, thereby enriching our comprehension of the complexities underlying social interactions and emotional dynamics. This study delves into the intricacies of emotional contagion and its impact on performance within dyadic interactions. Specifically, it focuses on the context of stereotype-based stress (SBS) during collaborative problem-solving tasks among female pairs. Through an exploration of emotional contagion, this study seeks to unveil its underlying mechanisms and effects. Leveraging EEG-based hyperscanning technology, we introduced an innovative approach known as the functional Graph Contrastive Learning (fGCL), which extracts subject-invariant representations of neural activity patterns from feedback trials. These representations are further subjected to analysis using the Dynamic Graph Classification (DGC) model, aimed at dissecting the process of emotional contagion along three independent temporal stages. The results underscore the substantial role of emotional contagion in shaping the trajectories of participants' performance during collaborative tasks in the presence of SBS conditions. Overall, our research contributes invaluable insights into the neural underpinnings of emotional contagion, thereby enriching our comprehension of the complexities underlying social interactions and emotional dynamics. |
Author | Huang, Jingyun Amey, Rachel C. Forbes, Chad E. Liu, Mengting |
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Copyright | Copyright © 2023 Huang, Amey, Liu and Forbes. 2023. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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Keywords | emotional contagion graph contrastive learning stereotype-based stressor graph representation learning graph classification |
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References | Forbes (B14) 2018; 13 Suhaimi (B35) 2020; 2020 Forbes (B15) 2015; 33 Defferrard (B9) 2016 Liu (B28) 2021; 245 Hämäläinen (B20) 1989; 36 Gramfort (B18) 2013 Neumann (B32) 2000 Mueller (B31) 2013; 77 [Dataset]Demir (B10) 2021 Ebner (B12) 2014 Forbes (B16) 2014; 102 Lin (B25) 2006; 27 Liu (B26) 2018 Shen (B34) 2022; 1 Thorson (B36) 2019; 58 Finn (B13) 2015; 18 Liu (B27) 2020; 31 Nolan (B33) 2010; 192 Dale (B7) 1999; 9 Attal (B3) 2013; 8 Hatfield (B22) 1993; 2 Marx (B29) 2002; 28 McIntyre (B30) 2005; 10 [Dataset] Cangea (B4) 2018 Hamann (B21) 2004; 14 Dale (B8) 2000; 26 [Dataset] Chen (B5) 2020 Kramer (B23) 2014; 111 Li (B24) 2020; 12 Zhang (B37) 2020; 11 Desikan (B11) 2006; 31 Gramfort (B19) 2014; 86 Alhubaishy (B1) 2017 Amey (B2) 2022; 25 Cohen (B6) 2018; 180 Goldenberg (B17) 2020; 24 |
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Snippet | This study delves into the intricacies of emotional contagion and its impact on performance within dyadic interactions. Specifically, it focuses on the context... IntroductionThis study delves into the intricacies of emotional contagion and its impact on performance within dyadic interactions. Specifically, it focuses on... |
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SubjectTerms | Activity patterns Brain research Classification EEG emotional contagion Emotions graph classification graph contrastive learning graph representation learning Graphs Neural networks Problem solving Questionnaires Social interactions stereotype-based stressor |
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Title | Functional graph contrastive learning of hyperscanning EEG reveals emotional contagion evoked by stereotype-based stressors |
URI | https://www.ncbi.nlm.nih.gov/pubmed/38077186 https://www.proquest.com/docview/2892394757 https://www.proquest.com/docview/2902953497 https://doaj.org/article/1c3039db61b44beba01f34ead666ce6a |
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