1
|
Lim M, Carollo A, Bizzego A, Chen ASH, Esposito G. Synchrony within, synchrony without: establishing the link between interpersonal behavioural and brain-to-brain synchrony during role-play. ROYAL SOCIETY OPEN SCIENCE 2024; 11:240331. [PMID: 39318827 PMCID: PMC11421382 DOI: 10.1098/rsos.240331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Revised: 06/28/2024] [Accepted: 07/29/2024] [Indexed: 09/26/2024]
Abstract
Interpersonal synchrony is a crucial construct in understanding social interactions, which has been used in clinical studies to measure the quality of the therapeutic alliance. However, there is a lack of studies investigating the correlation between synchrony expressed on different levels: behavioural and neurophysiological. Furthermore, there are no studies that examine how the implementation of psychodramatic role-playing techniques, when individuals adopt the persona of a different character, may influence intrinsic biobehavioural synchrony between two parties. The present study, therefore, aims to uncover the relationship between behavioural and brain-to-brain synchrony across different role-playing techniques and elucidate the impact of these synchronies on participants' levels of anxiety and empathy. By using functional near-infrared imaging and behavioural coding in a dyadic role-playing paradigm (n = 41 dyads), the study found correlations between behavioural and brain-to-brain synchrony during naturalistic conversations, but not during role-play, implying a qualitative change in interpersonal synchrony when implementing role-playing techniques. Additionally, the study noted significant contributions of both behavioural and brain-to-brain synchrony as well as peripheral factors such as dyadic sex make-up and role immersion in predicting dyadic anxiety and empathy changes. Findings call for future studies to consider role-playing scenarios as a qualitatively different form of social interaction.
Collapse
Affiliation(s)
- Mengyu Lim
- Psychology Program, School of Social Sciences, Nanyang Technological University, Singapore
| | - Alessandro Carollo
- Department of Psychology and Cognitive Science, University of Trento, Trento, Italy
| | - Andrea Bizzego
- Department of Psychology and Cognitive Science, University of Trento, Trento, Italy
| | - Annabel S H Chen
- Psychology Program, School of Social Sciences, Nanyang Technological University, Singapore
| | - Gianluca Esposito
- Department of Psychology and Cognitive Science, University of Trento, Trento, Italy
| |
Collapse
|
2
|
Tamburro G, Bruña R, Fiedler P, De Fano A, Raeisi K, Khazaei M, Zappasodi F, Comani S. An Analytical Approach for Naturalistic Cooperative and Competitive EEG-Hyperscanning Data: A Proof-of-Concept Study. SENSORS (BASEL, SWITZERLAND) 2024; 24:2995. [PMID: 38793851 PMCID: PMC11125252 DOI: 10.3390/s24102995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 04/03/2024] [Accepted: 05/02/2024] [Indexed: 05/26/2024]
Abstract
Investigating the neural mechanisms underlying both cooperative and competitive joint actions may have a wide impact in many social contexts of human daily life. An effective pipeline of analysis for hyperscanning data recorded in a naturalistic context with a cooperative and competitive motor task has been missing. We propose an analytical pipeline for this type of joint action data, which was validated on electroencephalographic (EEG) signals recorded in a proof-of-concept study on two dyads playing cooperative and competitive table tennis. Functional connectivity maps were reconstructed using the corrected imaginary part of the phase locking value (ciPLV), an algorithm suitable in case of EEG signals recorded during turn-based competitive joint actions. Hyperbrain, within-, and between-brain functional connectivity maps were calculated in three frequency bands (i.e., theta, alpha, and beta) relevant during complex motor task execution and were characterized with graph theoretical measures and a clustering approach. The results of the proof-of-concept study are in line with recent findings on the main features of the functional networks sustaining cooperation and competition, hence demonstrating that the proposed pipeline is promising tool for the analysis of joint action EEG data recorded during cooperation and competition using a turn-based motor task.
Collapse
Affiliation(s)
- Gabriella Tamburro
- Behavioral Imaging and Neural Dynamics Center, G. d’Annunzio University of Chieti-Pescara, 66100 Chieti, Italy; (A.D.F.); (F.Z.); (S.C.)
- Department of Neuroscience, Imaging and Clinical Sciences, G. d’Annunzio University of Chieti–Pescara, 66100 Chieti, Italy; (K.R.); (M.K.)
| | - Ricardo Bruña
- Center for Cognitive and Computational Neuroscience (C3N), Universidad Complutense de Madrid, 28040 Madrid, Spain;
- Department of Radiology, Rehabilitation and Physiotherapy, School of Medicine, Universidad Complutense de Madrid, IdISSC, 28040 Madrid, Spain
| | - Patrique Fiedler
- Institute of Biomedical Engineering and Informatics, Technische Universität Ilmenau, 98693 Ilmenau, Germany
| | - Antonio De Fano
- Behavioral Imaging and Neural Dynamics Center, G. d’Annunzio University of Chieti-Pescara, 66100 Chieti, Italy; (A.D.F.); (F.Z.); (S.C.)
- Department of Neuroscience, Imaging and Clinical Sciences, G. d’Annunzio University of Chieti–Pescara, 66100 Chieti, Italy; (K.R.); (M.K.)
| | - Khadijeh Raeisi
- Department of Neuroscience, Imaging and Clinical Sciences, G. d’Annunzio University of Chieti–Pescara, 66100 Chieti, Italy; (K.R.); (M.K.)
| | - Mohammad Khazaei
- Department of Neuroscience, Imaging and Clinical Sciences, G. d’Annunzio University of Chieti–Pescara, 66100 Chieti, Italy; (K.R.); (M.K.)
| | - Filippo Zappasodi
- Behavioral Imaging and Neural Dynamics Center, G. d’Annunzio University of Chieti-Pescara, 66100 Chieti, Italy; (A.D.F.); (F.Z.); (S.C.)
- Department of Neuroscience, Imaging and Clinical Sciences, G. d’Annunzio University of Chieti–Pescara, 66100 Chieti, Italy; (K.R.); (M.K.)
- Institute for Advanced Biomedical Technologies, University “Gabriele d’Annunzio” of Chieti–Pescara, 66100 Chieti, Italy
| | - Silvia Comani
- Behavioral Imaging and Neural Dynamics Center, G. d’Annunzio University of Chieti-Pescara, 66100 Chieti, Italy; (A.D.F.); (F.Z.); (S.C.)
- Department of Neuroscience, Imaging and Clinical Sciences, G. d’Annunzio University of Chieti–Pescara, 66100 Chieti, Italy; (K.R.); (M.K.)
| |
Collapse
|
3
|
Réveillé C, Vergotte G, Perrey S, Bosselut G. Using interbrain synchrony to study teamwork: A systematic review and meta-analysis. Neurosci Biobehav Rev 2024; 159:105593. [PMID: 38373643 DOI: 10.1016/j.neubiorev.2024.105593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 01/19/2024] [Accepted: 02/14/2024] [Indexed: 02/21/2024]
Abstract
It has been proposed that interbrain synchrony (IBS) may help to elucidate the neural mechanisms underpinning teamwork. As hyperscanning studies have provided abundant findings on IBS in team environments, the current review aims to synthesize the findings of hyperscanning studies in a way that is relevant to the teamwork research. A systematic review was conducted. Included studies were classified according to the IPO (i.e. input, process, output) model of teamwork. Three multi-level meta-analyses were performed to quantify the associations between IBS and the three IPO variables. The methodology followed PRISMA guidelines and the protocol was pre-registered (https://osf.io/7h8sa/). Of the 229 studies, 41 were included, representing 1326 teams. The three meta-analyses found statistically significant positive effects, indicating a positive association between IBS and the three IPO teamwork variables. This study provides evidence that IBS is a relevant measure of the teamwork process and argues for the continued use of IBS to study teamwork.
Collapse
Affiliation(s)
- Coralie Réveillé
- EuroMov Digital Health in Motion (Univ Montpellier, IMT Mines d'Alès), 700 avenue du Pic Saint Loup, Montpellier 34090, France.
| | - Grégoire Vergotte
- EuroMov Digital Health in Motion (Univ Montpellier, IMT Mines d'Alès), 700 avenue du Pic Saint Loup, Montpellier 34090, France
| | - Stéphane Perrey
- EuroMov Digital Health in Motion (Univ Montpellier, IMT Mines d'Alès), 700 avenue du Pic Saint Loup, Montpellier 34090, France
| | - Grégoire Bosselut
- EuroMov Digital Health in Motion (Univ Montpellier, IMT Mines d'Alès), 700 avenue du Pic Saint Loup, Montpellier 34090, France
| |
Collapse
|
4
|
Jia S, Meng Y, Gao Y, Ao L, Yang L, Wang H, Liu Y. Romantic relationships attenuated competition between lovers: evidence from brain synchronization. Cereb Cortex 2024; 34:bhae028. [PMID: 38300221 DOI: 10.1093/cercor/bhae028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 01/12/2024] [Accepted: 01/15/2024] [Indexed: 02/02/2024] Open
Abstract
Competition is an essential component of social interaction and is influenced by interpersonal relationships. This study is based on social exchange theory and explores the relationship between brain synchronization and competition in the binary system of romantic relationships through electroencephalogram hyperscanning technology. The results found that females had a greater win rate in the romantic and friend groups. During the early stage (0-200 ms), when the competitive target appeared, the stranger group exhibited greater interbrain synchronicity in the Alpha frequency band. However, during the later stage (600-800 ms), the romantic group showed higher Alpha band interbrain synchrony when the competitive target appeared. Significant interbrain synchronizations were observed in the Theta frequency band of the stranger and friend groups at 400-600 ms and 800-1000 ms. Moreover, these interbrain synchronizations were significantly positively correlated with the winning rates of females in the competition. These findings suggest a close relationship between interpersonal coordination and interbrain synchronization. Furthermore, romantic relationships reduce participants' willingness to compete, affecting their attention regulation, emotional processing, and goal orientation, thus influencing competition. This study investigated the impact of romantic relationships on competition, providing a theoretical foundation for promoting the positive and healthy development of romantic relationships.
Collapse
Affiliation(s)
- Shuyu Jia
- School of Psychology and Mental Health, North China University of Science and Technology, 21 Bohai avenue, Caofeidian district, Tangshan, Hebei province, China
| | - Yujia Meng
- School of Psychology and Mental Health, North China University of Science and Technology, 21 Bohai avenue, Caofeidian district, Tangshan, Hebei province, China
| | - Yuan Gao
- School of Psychology and Mental Health, North China University of Science and Technology, 21 Bohai avenue, Caofeidian district, Tangshan, Hebei province, China
| | - Lihong Ao
- School of Psychology and Mental Health, North China University of Science and Technology, 21 Bohai avenue, Caofeidian district, Tangshan, Hebei province, China
| | - Lei Yang
- School of Psychology and Mental Health, North China University of Science and Technology, 21 Bohai avenue, Caofeidian district, Tangshan, Hebei province, China
| | - He Wang
- School of Psychology and Mental Health, North China University of Science and Technology, 21 Bohai avenue, Caofeidian district, Tangshan, Hebei province, China
- School of Public Health, School of Psychology and Mental Health, North China University of Science and Technology, 21 Bohai avenue, Caofeidian district, Tangshan, Hebei province, China
| | - Yingjie Liu
- School of Psychology and Mental Health, North China University of Science and Technology, 21 Bohai avenue, Caofeidian district, Tangshan, Hebei province, China
- School of Public Health, School of Psychology and Mental Health, North China University of Science and Technology, 21 Bohai avenue, Caofeidian district, Tangshan, Hebei province, China
| |
Collapse
|
5
|
Zhu L, Liu Y, Liu R, Peng Y, Cao J, Li J, Kong W. Decoding Multi-Brain Motor Imagery From EEG Using Coupling Feature Extraction and Few-Shot Learning. IEEE Trans Neural Syst Rehabil Eng 2023; 31:4683-4692. [PMID: 37995161 DOI: 10.1109/tnsre.2023.3336356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2023]
Abstract
Electroencephalography (EEG)-based motor imagery (MI) is one of brain computer interface (BCI) paradigms, which aims to build a direct communication pathway between human brain and external devices by decoding the brain activities. In a traditional way, MI BCI replies on a single brain, which suffers from the limitations, such as low accuracy and weak stability. To alleviate these limitations, multi-brain BCI has emerged based on the integration of multiple individuals' intelligence. Nevertheless, the existing decoding methods mainly use linear averaging or feature integration learning from multi-brain EEG data, and do not effectively utilize coupling relationship features, resulting in undesired decoding accuracy. To overcome these challenges, we proposed an EEG-based multi-brain MI decoding method, which utilizes coupling feature extraction and few-shot learning to capture coupling relationship features among multi-brains with only limited EEG data. We performed an experiment to collect EEG data from multiple persons who engaged in the same task simultaneously and compared the methods on the collected data. The comparison results showed that our proposed method improved the performance by 14.23% compared to the single-brain mode in the 10-shot three-class decoding task. It demonstrated the effectiveness of the proposed method and usability of the method in the context of only small amount of EEG data available.
Collapse
|
6
|
Hakim U, De Felice S, Pinti P, Zhang X, Noah JA, Ono Y, Burgess PW, Hamilton A, Hirsch J, Tachtsidis I. Quantification of inter-brain coupling: A review of current methods used in haemodynamic and electrophysiological hyperscanning studies. Neuroimage 2023; 280:120354. [PMID: 37666393 DOI: 10.1016/j.neuroimage.2023.120354] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2023] [Revised: 08/25/2023] [Accepted: 08/28/2023] [Indexed: 09/06/2023] Open
Abstract
Hyperscanning is a form of neuroimaging experiment where the brains of two or more participants are imaged simultaneously whilst they interact. Within the domain of social neuroscience, hyperscanning is increasingly used to measure inter-brain coupling (IBC) and explore how brain responses change in tandem during social interaction. In addition to cognitive research, some have suggested that quantification of the interplay between interacting participants can be used as a biomarker for a variety of cognitive mechanisms aswell as to investigate mental health and developmental conditions including schizophrenia, social anxiety and autism. However, many different methods have been used to quantify brain coupling and this can lead to questions about comparability across studies and reduce research reproducibility. Here, we review methods for quantifying IBC, and suggest some ways moving forward. Following the PRISMA guidelines, we reviewed 215 hyperscanning studies, across four different brain imaging modalities: functional near-infrared spectroscopy (fNIRS), functional magnetic resonance (fMRI), electroencephalography (EEG) and magnetoencephalography (MEG). Overall, the review identified a total of 27 different methods used to compute IBC. The most common hyperscanning modality is fNIRS, used by 119 studies, 89 of which adopted wavelet coherence. Based on the results of this literature survey, we first report summary statistics of the hyperscanning field, followed by a brief overview of each signal that is obtained from each neuroimaging modality used in hyperscanning. We then discuss the rationale, assumptions and suitability of each method to different modalities which can be used to investigate IBC. Finally, we discuss issues surrounding the interpretation of each method.
Collapse
Affiliation(s)
- U Hakim
- Department of Medical Physics and Biomedical Engineering, University College London, Malet Place Engineering Building, Gower Street, London WC1E 6BT, United Kingdom.
| | - S De Felice
- Institute of Cognitive Neuroscience, University College London, London, United Kingdom; Department of Psychology, University of Cambridge, United Kingdom
| | - P Pinti
- Department of Medical Physics and Biomedical Engineering, University College London, Malet Place Engineering Building, Gower Street, London WC1E 6BT, United Kingdom; Centre for Brain and Cognitive Development, Birkbeck, University of London, London, United Kingdom
| | - X Zhang
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States
| | - J A Noah
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States
| | - Y Ono
- Department of Electronics and Bioinformatics, School of Science and Technology, Meiji University, Kawasaki, Kanagawa, Japan
| | - P W Burgess
- Institute of Cognitive Neuroscience, University College London, London, United Kingdom
| | - A Hamilton
- Institute of Cognitive Neuroscience, University College London, London, United Kingdom
| | - J Hirsch
- Department of Medical Physics and Biomedical Engineering, University College London, Malet Place Engineering Building, Gower Street, London WC1E 6BT, United Kingdom; Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States; Departments of Neuroscience and Comparative Medicine, Yale School of Medicine, New Haven, CT, United States; Yale University, Wu Tsai Institute, New Haven, CT, United States
| | - I Tachtsidis
- Department of Medical Physics and Biomedical Engineering, University College London, Malet Place Engineering Building, Gower Street, London WC1E 6BT, United Kingdom
| |
Collapse
|
7
|
Kikuchi Y, Tanioka K, Hiroyasu T, Hiwa S. Interpersonal brain synchronization during face-to-face economic exchange between acquainted dyads. OXFORD OPEN NEUROSCIENCE 2023; 2:kvad007. [PMID: 38596234 PMCID: PMC10913825 DOI: 10.1093/oons/kvad007] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 06/13/2023] [Accepted: 06/15/2023] [Indexed: 04/11/2024]
Abstract
Interpersonal brain synchronization (IBS) has been observed during social interactions and involves various factors, such as familiarity with the partner and type of social activity. A previous study has shown that face-to-face (FF) interactions in pairs of strangers increase IBS. However, it is unclear whether this can be observed when the nature of the interacting partners is different. Herein, we aimed to extend these findings to pairs of acquaintances. Neural activity in the frontal and temporal regions was recorded using functional near-infrared spectroscopy hyperscanning. Participants played an ultimatum game that required virtual economic exchange in two experimental settings: face-to-face and face-blocked conditions. Random pair analysis confirmed whether IBS was induced by social interaction. Contrary to the aforementioned study, our results did not show any cooperative behavior or task-induced IBS increase. Conversely, the random pair analysis results revealed that the pair-specific IBS was significant only in the task condition at the left and right superior frontal, middle frontal, orbital superior frontal, right superior temporal, precentral and postcentral gyri. Our results tentatively suggested that FF interaction in acquainted pairs did not increase IBS and supported the idea that IBS is affected by 'with whom we interact and how'.
Collapse
Affiliation(s)
- Yuto Kikuchi
- Graduate School of Life and Medical Sciences, Doshisha University, 1-3 Tatara Miyakodani, Kyotanabe, Kyoto610-0394, Japan
| | - Kensuke Tanioka
- Department of Biomedical Sciences and Informatics, Doshisha University, 1-3 Tatara Miyakodani, Kyotanabe, Kyoto 610-0394, Japan
| | - Tomoyuki Hiroyasu
- Department of Biomedical Sciences and Informatics, Doshisha University, 1-3 Tatara Miyakodani, Kyotanabe, Kyoto 610-0394, Japan
| | - Satoru Hiwa
- Department of Biomedical Sciences and Informatics, Doshisha University, 1-3 Tatara Miyakodani, Kyotanabe, Kyoto 610-0394, Japan
| |
Collapse
|
8
|
Cialdini V, Di Lernia D, Riva G. SyncWork: Comparison of Brain Synchrony between Agile and Face-to-Face Work Using an EEG Hyperscanning Paradigm. CYBERPSYCHOLOGY, BEHAVIOR AND SOCIAL NETWORKING 2023. [PMID: 37339462 DOI: 10.1089/cyber.2023.29285.ceu] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/22/2023]
Affiliation(s)
- Vincenzo Cialdini
- Humane Technology Laboratory, Catholic University of Milan, Milan, Italy
| | - Daniele Di Lernia
- Humane Technology Laboratory, Catholic University of Milan, Milan, Italy
| | - Giuseppe Riva
- Humane Technology Laboratory, Catholic University of Milan, Milan, Italy
- Applied Technology for Neuro-Psychology Laboratory, IRCCS Istituto Auxologico Italiano, Milan, Italy
| |
Collapse
|
9
|
Léné P, Karran AJ, Labonté-Lemoyne E, Sénécal S, Fredette M, Johnson KJ, Léger PM. Is there collaboration specific neurophysiological activation during collaborative task activity? An analysis of brain responses using electroencephalography and hyperscanning. Brain Behav 2021; 11:e2270. [PMID: 34617691 PMCID: PMC8613430 DOI: 10.1002/brb3.2270] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Revised: 06/02/2021] [Accepted: 06/14/2021] [Indexed: 12/20/2022] Open
Abstract
Collaboration between two individuals is thought to be associated with the synchrony of two different brain activities. Indeed, prefrontal cortical activation and alpha frequency band modulation has been widely reported, but little is known about interbrain synchrony (IBS) changes occurring during social interaction such as collaboration or competition. In this study, we assess the dynamic of IBS variation in order to provide novel insights into the frequency band modulation underlying collaboration. To address this question, we used electroencephalography (EEG) to simultaneously record the brain activity of two individuals playing a computer-based game facing four different conditions: collaboration, competition, single participation, and passive observation. The computer-based game consisted of a fast button response task. Using data recorded in sensor space, we calculated an IBS value for each frequency band using both wavelet coherence transform and phase-locking value and performed single-subject analysis to compare each condition. We found significant IBS in frontal electrodes only present during collaboration associated with alpha frequency band modulation. In addition, we observed significant IBS in the theta frequency band for both collaboration and competition conditions, along with a significant single-subject cortical activity. Competition is distinguishable through single-subject activity in several regions and frequency bands of the brain. Performance is correlated with single-subject frontal activation during collaboration in the alpha and beta frequency band.
Collapse
Affiliation(s)
- Paul Léné
- Département de management, HEC Montréal, Montréal, Quebec, Canada
| | - Alexander J Karran
- Département de technologies de l'information, HEC Montréal, Montréal, Quebec, Canada
| | - Elise Labonté-Lemoyne
- Département de technologies de l'information, HEC Montréal, Montréal, Quebec, Canada
| | - Sylvain Sénécal
- Département de technologies de l'information, HEC Montréal, Montréal, Quebec, Canada
| | - Marc Fredette
- Département de technologies de l'information, HEC Montréal, Montréal, Quebec, Canada
| | - Kevin J Johnson
- Département de management, HEC Montréal, Montréal, Quebec, Canada
| | | |
Collapse
|