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Zhou X, Wong PCM. Hyperscanning to explore social interaction among autistic minds. Neurosci Biobehav Rev 2024; 163:105773. [PMID: 38889594 DOI: 10.1016/j.neubiorev.2024.105773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Revised: 06/05/2024] [Accepted: 06/13/2024] [Indexed: 06/20/2024]
Abstract
Hyperscanning - the monitoring of brain activity of two or more people simultaneously - has emerged to be a popular tool for assessing neural features of social interaction. This perspective article focuses on hyperscanning studies that use functional near-infrared spectroscopy (fNIRS), a technique that is very conducive to studies requiring naturalistic paradigms. In particular, we are interested in neural features that are related to social interaction deficits among individuals with autism spectrum disorders (ASD). This population has received relatively little attention in research using neuroimaging hyperscanning techniques, compared to neurotypical individuals. The study is outlined as follows. First, we summarize the findings about brain-behavior connections related to autism from previously published fNIRS hyperscanning studies. Then, we propose a preliminary theoretical framework of inter-brain coherence (IBC) with testable hypotheses concerning this population. Finally, we provide two examples of areas of inquiry in which studies could be particularly relevant for social-emotional/behavioral development for autistic children, focusing on intergenerational relationships in family units and learning in classroom settings in mainstream schools.
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Affiliation(s)
- Xin Zhou
- Brain and Mind Institute, the Chinese University of Hong Kong, Hong Kong Special Administrative Region of China.
| | - Patrick C M Wong
- Brain and Mind Institute, the Chinese University of Hong Kong, Hong Kong Special Administrative Region of China; Department of Linguistics and Modern Languages, the Chinese University of Hong Kong, Hong Kong Special Administrative Region of China
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Sharika KM, Thaikkandi S, Nivedita, Platt ML. Interpersonal heart rate synchrony predicts effective information processing in a naturalistic group decision-making task. Proc Natl Acad Sci U S A 2024; 121:e2313801121. [PMID: 38753509 PMCID: PMC11127007 DOI: 10.1073/pnas.2313801121] [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: 08/10/2023] [Accepted: 03/19/2024] [Indexed: 05/18/2024] Open
Abstract
Groups often outperform individuals in problem-solving. Nevertheless, failure to critically evaluate ideas risks suboptimal outcomes through so-called groupthink. Prior studies have shown that people who hold shared goals, perspectives, or understanding of the environment show similar patterns of brain activity, which itself can be enhanced by consensus-building discussions. Whether shared arousal alone can predict collective decision-making outcomes, however, remains unknown. To address this gap, we computed interpersonal heart rate synchrony, a peripheral index of shared arousal associated with joint attention, empathic accuracy, and group cohesion, in 44 groups (n = 204) performing a collective decision-making task. The task required critical examination of all available information to override inferior, default options and make the right choice. Using multidimensional recurrence quantification analysis (MdRQA) and machine learning, we found that heart rate synchrony predicted the probability of groups reaching the correct consensus decision with >70% cross-validation accuracy-significantly higher than that predicted by the duration of discussions, subjective assessment of team function or baseline heart rates alone. We propose that heart rate synchrony during group discussion provides a biomarker of interpersonal engagement that facilitates adaptive learning and effective information sharing during collective decision-making.
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Affiliation(s)
- K. M. Sharika
- Department of Cognitive Science, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh208016, India
| | - Swarag Thaikkandi
- Department of Cognitive Science, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh208016, India
| | - Nivedita
- Department of Material Science & Engineering, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh208016, India
- Department of Theoretical Physics, University of Oxford, OxfordOX1 3PU, United Kingdom
| | - Michael L. Platt
- Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA19104
- Department of Psychology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA19104
- Marketing Department, Wharton School of Business, University of Pennsylvania, Philadelphia, PA19104
- Wharton Neuroscience Initiative, Wharton School of Business, University of Pennsylvania, Philadelphia, PA19104
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Bonnaire J, Dumas G, Cassell J. Bringing together multimodal and multilevel approaches to study the emergence of social bonds between children and improve social AI. FRONTIERS IN NEUROERGONOMICS 2024; 5:1290256. [PMID: 38827377 PMCID: PMC11140154 DOI: 10.3389/fnrgo.2024.1290256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 04/29/2024] [Indexed: 06/04/2024]
Abstract
This protocol paper outlines an innovative multimodal and multilevel approach to studying the emergence and evolution of how children build social bonds with their peers, and its potential application to improving social artificial intelligence (AI). We detail a unique hyperscanning experimental framework utilizing functional near-infrared spectroscopy (fNIRS) to observe inter-brain synchrony in child dyads during collaborative tasks and social interactions. Our proposed longitudinal study spans middle childhood, aiming to capture the dynamic development of social connections and cognitive engagement in naturalistic settings. To do so we bring together four kinds of data: the multimodal conversational behaviors that dyads of children engage in, evidence of their state of interpersonal rapport, collaborative performance on educational tasks, and inter-brain synchrony. Preliminary pilot data provide foundational support for our approach, indicating promising directions for identifying neural patterns associated with productive social interactions. The planned research will explore the neural correlates of social bond formation, informing the creation of a virtual peer learning partner in the field of Social Neuroergonomics. This protocol promises significant contributions to understanding the neural basis of social connectivity in children, while also offering a blueprint for designing empathetic and effective social AI tools, particularly for educational contexts.
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Affiliation(s)
| | - Guillaume Dumas
- Research Center of the CHU Sainte-Justine, Department of Psychiatry, University of Montréal, Montreal, QC, Canada
- Mila–Quebec Artificial Intelligence Institute, Montreal, QC, Canada
| | - Justine Cassell
- Inria Paris Centre, Paris, France
- School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, United States
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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.
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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
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Liu Y, Zhang Y, Zhong Y, Liu J, Zhang C, Meng Y, Pang N, Cheng X, Wang H. Favoritism or bias? Cooperation and competition under different intergroup relationships: evidence from EEG hyperscanning. Cereb Cortex 2024; 34:bhae131. [PMID: 38566514 DOI: 10.1093/cercor/bhae131] [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: 12/29/2023] [Revised: 03/08/2024] [Accepted: 03/09/2024] [Indexed: 04/04/2024] Open
Abstract
Cooperation and competition are the most common forms of social interaction in various social relationships. Intergroup relationships have been posited to influence individuals' interpersonal interactions significantly. Using electroencephalography hyperscanning, this study aimed to establish whether intergroup relationships influence interpersonal cooperation and competition and the underlying neural mechanisms. According to the results, the in-group Coop-index is better than the out-group, whereas the out-group Comp-index is stronger than the in-group. The in-group functional connectivity between the frontal-central region and the right temporoparietal junction in the β band was stronger in competition than cooperation. The out-group functional connectivity between the frontal-central region and the left temporoparietal junction in the α band was stronger in cooperation than competition. In both cooperation and competition, the in-group exhibited higher interbrain synchronization between the prefrontal cortex and parietal region in the θ band, as well as between the frontal-central region and frontal-central region in the α band, compared to the out-group. The intrabrain phase-locking value in both the α and β bands can effectively predict performance in competition tasks. Interbrain phase-locking value in both the α and θ bands can be effectively predicted in a performance cooperation task. This study offers neuroscientific evidence for in-group favoritism and out-group bias at an interpersonal level.
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Affiliation(s)
- Yingjie Liu
- School of Psychology and Mental Health, North China University of Science and Technology, 21 Bohai avenue, Caofeidian district, Tangshan, Hebei province 063210, China
- School of Public Health, North China University of Science and Technology, 21 Bohai avenue, Caofeidian district, Tangshan, Hebei province 063210, China
| | - Ye Zhang
- School of Psychology and Mental Health, North China University of Science and Technology, 21 Bohai avenue, Caofeidian district, Tangshan, Hebei province 063210, China
| | - Yifei Zhong
- School of Psychology and Mental Health, North China University of Science and Technology, 21 Bohai avenue, Caofeidian district, Tangshan, Hebei province 063210, China
| | - Jingyue Liu
- School of Psychology and Mental Health, North China University of Science and Technology, 21 Bohai avenue, Caofeidian district, Tangshan, Hebei province 063210, China
| | - Chenyu Zhang
- School of Psychology and Mental Health, North China University of Science and Technology, 21 Bohai avenue, Caofeidian district, Tangshan, Hebei province 063210, China
| | - Yujia Meng
- School of Psychology and Mental Health, North China University of Science and Technology, 21 Bohai avenue, Caofeidian district, Tangshan, Hebei province 063210, China
| | - Nan Pang
- School of Psychology and Mental Health, North China University of Science and Technology, 21 Bohai avenue, Caofeidian district, Tangshan, Hebei province 063210, China
| | - Xuemei Cheng
- Department of Mechanical and Electrical Engineering, Beijing Polytechnic, 100081
| | - He Wang
- School of Psychology and Mental Health, North China University of Science and Technology, 21 Bohai avenue, Caofeidian district, Tangshan, Hebei province 063210, China
- School of Public Health, North China University of Science and Technology, 21 Bohai avenue, Caofeidian district, Tangshan, Hebei province 063210, China
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Sharika KM, Thaikkandi S, Nivedita, Platt ML. Interpersonal heart rate synchrony predicts effective information processing in a naturalistic group decision-making task. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.07.24.550277. [PMID: 37546927 PMCID: PMC10402056 DOI: 10.1101/2023.07.24.550277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/08/2023]
Abstract
Groups often outperform individuals in problem-solving. Nevertheless, failure to critically evaluate ideas risks sub-optimal outcomes through so-called groupthink. Prior studies have shown that people who hold shared goals, perspectives or understanding of the environment show similar patterns of brain activity, which itself can be enhanced by consensus building discussions. Whether shared arousal alone can predict collective decision-making outcomes, however, remains unknown. To address this gap, we computed interpersonal heart rate synchrony, a peripheral index of shared arousal associated with joint attention, empathic accuracy and group cohesion, in 44 groups (n=204) performing a collective decision-making task. The task required critical examination of all available information to override inferior, default options and make the right choice. Using multi-dimensional recurrence quantification analysis (MdRQA) and machine learning, we found that heart rate synchrony predicted the probability of groups reaching the correct consensus decision with greater than 70% cross-validation accuracy-significantly higher than that predicted by the duration of discussions, subjective assessment of team function or baseline heart rates alone. We propose that heart rate synchrony during group discussion provides a biomarker of interpersonal engagement that facilitates adaptive learning and effective information sharing during collective decision-making.
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Affiliation(s)
- K M Sharika
- Department of Cognitive Science, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India
| | - Swarag Thaikkandi
- Department of Cognitive Science, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India
| | - Nivedita
- Department of Material Science & Engineering, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India
- Department of Theoretical Physics, University of Oxford, UK
| | - Michael L Platt
- Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA
- Marketing Department, Wharton School of Business, University of Pennsylvania, Philadelphia, PA, USA
- Wharton Neuroscience Initiative, Wharton School of Business, University of Pennsylvania, Philadelphia, PA, USA
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Konrad K, Gerloff C, Kohl SH, Mehler DMA, Mehlem L, Volbert EL, Komorek M, Henn AT, Boecker M, Weiss E, Reindl V. Interpersonal neural synchrony and mental disorders: unlocking potential pathways for clinical interventions. Front Neurosci 2024; 18:1286130. [PMID: 38529267 PMCID: PMC10962391 DOI: 10.3389/fnins.2024.1286130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 01/30/2024] [Indexed: 03/27/2024] Open
Abstract
Introduction Interpersonal synchronization involves the alignment of behavioral, affective, physiological, and brain states during social interactions. It facilitates empathy, emotion regulation, and prosocial commitment. Mental disorders characterized by social interaction dysfunction, such as Autism Spectrum Disorder (ASD), Reactive Attachment Disorder (RAD), and Social Anxiety Disorder (SAD), often exhibit atypical synchronization with others across multiple levels. With the introduction of the "second-person" neuroscience perspective, our understanding of interpersonal neural synchronization (INS) has improved, however, so far, it has hardly impacted the development of novel therapeutic interventions. Methods To evaluate the potential of INS-based treatments for mental disorders, we performed two systematic literature searches identifying studies that directly target INS through neurofeedback (12 publications; 9 independent studies) or brain stimulation techniques (7 studies), following PRISMA guidelines. In addition, we narratively review indirect INS manipulations through behavioral, biofeedback, or hormonal interventions. We discuss the potential of such treatments for ASD, RAD, and SAD and using a systematic database search assess the acceptability of neurofeedback (4 studies) and neurostimulation (4 studies) in patients with social dysfunction. Results Although behavioral approaches, such as engaging in eye contact or cooperative actions, have been shown to be associated with increased INS, little is known about potential long-term consequences of such interventions. Few proof-of-concept studies have utilized brain stimulation techniques, like transcranial direct current stimulation or INS-based neurofeedback, showing feasibility and preliminary evidence that such interventions can boost behavioral synchrony and social connectedness. Yet, optimal brain stimulation protocols and neurofeedback parameters are still undefined. For ASD, RAD, or SAD, so far no randomized controlled trial has proven the efficacy of direct INS-based intervention techniques, although in general brain stimulation and neurofeedback methods seem to be well accepted in these patient groups. Discussion Significant work remains to translate INS-based manipulations into effective treatments for social interaction disorders. Future research should focus on mechanistic insights into INS, technological advancements, and rigorous design standards. Furthermore, it will be key to compare interventions directly targeting INS to those targeting other modalities of synchrony as well as to define optimal target dyads and target synchrony states in clinical interventions.
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Affiliation(s)
- Kerstin Konrad
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital RWTH, Aachen, Germany
- JARA Brain Institute II, Molecular Neuroscience and Neuroimaging (INM-11), Jülich Research Centre, Jülich, Germany
| | - Christian Gerloff
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital RWTH, Aachen, Germany
- JARA Brain Institute II, Molecular Neuroscience and Neuroimaging (INM-11), Jülich Research Centre, Jülich, Germany
- Department of Applied Mathematics and Theoretical Physics, Cambridge Centre for Data-Driven Discovery, University of Cambridge, Cambridge, United Kingdom
| | - Simon H. Kohl
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital RWTH, Aachen, Germany
- JARA Brain Institute II, Molecular Neuroscience and Neuroimaging (INM-11), Jülich Research Centre, Jülich, Germany
| | - David M. A. Mehler
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical School, RWTH Aachen University, Aachen, Germany
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
- School of Psychology, Cardiff University Brain Research Imaging Center (CUBRIC), Cardiff University, Cardiff, United Kingdom
| | - Lena Mehlem
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital RWTH, Aachen, Germany
| | - Emily L. Volbert
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital RWTH, Aachen, Germany
| | - Maike Komorek
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital RWTH, Aachen, Germany
| | - Alina T. Henn
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital RWTH, Aachen, Germany
| | - Maren Boecker
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital RWTH, Aachen, Germany
- Institute of Medical Psychology and Medical Sociology, University Hospital RWTH, Aachen, Germany
| | - Eileen Weiss
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital RWTH, Aachen, Germany
- Institute of Medical Psychology and Medical Sociology, University Hospital RWTH, Aachen, Germany
| | - Vanessa Reindl
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital RWTH, Aachen, Germany
- Department of Psychology, School of Social Sciences, Nanyang Technological University, Singapore, Singapore
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Takeuchi N. A dual-brain therapeutic approach using noninvasive brain stimulation based on two-person neuroscience: A perspective review. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2024; 21:5118-5137. [PMID: 38872529 DOI: 10.3934/mbe.2024226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2024]
Abstract
Our actions and decisions in everyday life are heavily influenced by social interactions, which are dynamic feedback loops involving actions, reactions, and internal cognitive processes between individual agents. Social interactions induce interpersonal synchrony, which occurs at different biobehavioral levels and comprises behavioral, physiological, and neurological activities. Hyperscanning-a neuroimaging technique that simultaneously measures the activity of multiple brain regions-has provided a powerful second-person neuroscience tool for investigating the phase alignment of neural processes during interactive social behavior. Neural synchronization, revealed by hyperscanning, is a phenomenon called inter-brain synchrony- a process that purportedly facilitates social interactions by prompting appropriate anticipation of and responses to each other's social behaviors during ongoing shared interactions. In this review, I explored the therapeutic dual-brain approach using noninvasive brain stimulation to target inter-brain synchrony based on second-person neuroscience to modulate social interaction. Artificially inducing synchrony between the brains is a potential adjunct technique to physiotherapy, psychotherapy, and pain treatment- which are strongly influenced by the social interaction between the therapist and patient. Dual-brain approaches to personalize stimulation parameters must consider temporal, spatial, and oscillatory factors. Multiple data fusion analysis, the assessment of inter-brain plasticity, a closed-loop system, and a brain-to-brain interface can support personalized stimulation.
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Affiliation(s)
- Naoyuki Takeuchi
- Department of Physical Therapy, Akita University Graduate School of Health Sciences, 1-1-1 Hondo, Akita, 010-8543, Japan
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Lamontagne A, Gaunet F. Behavioural Synchronisation between Dogs and Humans: Unveiling Interspecific Motor Resonance? Animals (Basel) 2024; 14:548. [PMID: 38396516 PMCID: PMC10886274 DOI: 10.3390/ani14040548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 02/05/2024] [Accepted: 02/06/2024] [Indexed: 02/25/2024] Open
Abstract
Dogs' behavioural synchronisation with humans is of growing scientific interest. However, studies lack a comprehensive exploration of the neurocognitive foundations of this social cognitive ability. Drawing parallels from the mechanisms underlying behavioural synchronisation in humans, specifically motor resonance and the recruitment of mirror neurons, we hypothesise that dogs' behavioural synchronisation with humans is underpinned by a similar mechanism, namely interspecific motor resonance. Based on a literature review, we argue that dogs possess the prerequisites for motor resonance, and we suggest that interspecific behavioural synchronisation relies on the activation of both human and canine mirror neurons. Furthermore, interspecific behavioural studies highlight certain characteristics of motor resonance, including motor contagion and its social modulators. While these findings strongly suggest the potential existence of interspecific motor resonance, direct proof remains to be established. Our analysis thus paves the way for future research to confirm the existence of interspecific motor resonance as the neurocognitive foundation for interspecific behavioural synchronisation. Unravelling the neurocognitive mechanisms underlying this behavioural adjustment holds profound implications for understanding the evolutionary dynamics of dogs alongside humans and improving the day-to-day management of dog-human interactions.
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Affiliation(s)
- Angélique Lamontagne
- Centre de Recherche en Psychologie et Neuroscience (UMR 7077), Aix-Marseille University, Centre National de la Recherche Scientifique, 3 Place Victor Hugo, 13331 Marseille, Cedex 03, France
- Association Agir pour la Vie Animale (AVA), 76220 Cuy-Saint-Fiacre, France
| | - Florence Gaunet
- Centre de Recherche en Psychologie et Neuroscience (UMR 7077), Aix-Marseille University, Centre National de la Recherche Scientifique, 3 Place Victor Hugo, 13331 Marseille, Cedex 03, France
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Xu X, Kong Q, Zhang D, Zhang Y. An evaluation of inter-brain EEG coupling methods in hyperscanning studies. Cogn Neurodyn 2024; 18:67-83. [PMID: 38406199 PMCID: PMC10881924 DOI: 10.1007/s11571-022-09911-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 10/24/2022] [Accepted: 10/31/2022] [Indexed: 11/28/2022] Open
Abstract
EEG-based hyperscanning technology has been increasingly applied to analyze interpersonal interactions in social neuroscience in recent years. However, different methods are employed in various of studies without a complete investigation of the suitability of these methods. Our study aimed to systematically compare typical inter-brain EEG coupling methods, with simulated EEG data generated by real EEG data. In particular, two critical metrics of noise level and time delay were manipulated, and three different coupling models were tested. The results revealed that: (1) under certain conditions, various methods were leveraged by noise level and time delay, leading to different performances; (2) most algorithms achieved better experimental results and performance under high coupling degree; (3) with our simulation process, temporal and spectral models showed relatively good results, while data simulated with phase coupling model performed worse. This is the first systematic comparison of typical inter-brain EEG coupling methods, with simulated EEG data generated by real EEG data from different subjects. Existing methods mainly focused on intra-brain coupling. To our knowledge, there was only one previous study that compared five inter-brain EEG coupling methods (Burgess in Front Human Neurosci 7:881, 2013). However, the simulated data used in this study were generated time series with varied degrees of phase coupling without considering any EEG characteristics. For future research, appropriate methods need to be selected based on possible underlying mechanisms (temporal, spectral and phase coupling model hypothesis) of a specific study, as well as the expected coupling degree and conditions. Supplementary Information The online version contains supplementary material available at 10.1007/s11571-022-09911-1.
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Affiliation(s)
- Xiaomeng Xu
- Institute of Education, Tsinghua University, Beijing, China
| | - Qiuyue Kong
- School of Public Health, Harvard University, Cambridge, MA USA
| | - Dan Zhang
- Department of Psychology, Tsinghua University, Beijing, China
| | - Yu Zhang
- Institute of Education, Tsinghua University, Beijing, China
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Dikker S, Brito NH, Dumas G. It takes a village: A multi-brain approach to studying multigenerational family communication. Dev Cogn Neurosci 2024; 65:101330. [PMID: 38091864 PMCID: PMC10716709 DOI: 10.1016/j.dcn.2023.101330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 08/27/2023] [Accepted: 12/07/2023] [Indexed: 12/17/2023] Open
Abstract
Grandparents play a critical role in child rearing across the globe. Yet, there is a shortage of neurobiological research examining the relationship between grandparents and their grandchildren. We employ multi-brain neurocomputational models to simulate how changes in neurophysiological processes in both development and healthy aging affect multigenerational inter-brain coupling - a neural marker that has been linked to a range of socio-emotional and cognitive outcomes. The simulations suggest that grandparent-child interactions may be paired with higher inter-brain coupling than parent-child interactions, raising the possibility that the former may be more advantageous under certain conditions. Critically, this enhancement of inter-brain coupling for grandparent-child interactions is more pronounced in tri-generational interactions that also include a parent, which may speak to findings that grandparent involvement in childrearing is most beneficial if the parent is also an active household member. Together, these findings underscore that a better understanding of the neurobiological basis of cross-generational interactions is vital, and that such knowledge can be helpful in guiding interventions that consider the whole family. We advocate for a community neuroscience approach in developmental social neuroscience to capture the diversity of child-caregiver relationships in real-world settings.
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12
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Mayo O, Shamay-Tsoory S. Dynamic mutual predictions during social learning: A computational and interbrain model. Neurosci Biobehav Rev 2024; 157:105513. [PMID: 38135267 DOI: 10.1016/j.neubiorev.2023.105513] [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: 08/02/2023] [Revised: 10/27/2023] [Accepted: 12/18/2023] [Indexed: 12/24/2023]
Abstract
During social interactions, we constantly learn about the thoughts, feelings, and personality traits of our interaction partners. Learning in social interactions is critical for bond formation and acquiring knowledge. Importantly, this type of learning is typically bi-directional, as both partners learn about each other simultaneously. Here we review the literature on social learning and propose a new computational and neural model characterizing mutual predictions that take place within and between interactions. According to our model, each partner in the interaction attempts to minimize the prediction error of the self and the interaction partner. In most cases, these inferential models become similar over time, thus enabling mutual understanding to develop. At the neural level, this type of social learning may be supported by interbrain plasticity, defined as a change in interbrain coupling over time in neural networks associated with social learning, among them the mentalizing network, the observation-execution system, and the hippocampus. The mutual prediction model constitutes a promising means of providing empirically verifiable accounts of how relationships develop over time.
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Affiliation(s)
- Oded Mayo
- The Department of Psychology, University of Haifa, Haifa, Israel.
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Shih YT, Wang L, Wong CHY, Sin ELL, Rauterberg M, Yuan Z, Chang L. The Effects of Distancing Design Collaboration Necessitated by COVID-19 on Brain Synchrony in Teams Compared to Co-Located Design Collaboration: A Preliminary Study. Brain Sci 2024; 14:60. [PMID: 38248275 PMCID: PMC10813062 DOI: 10.3390/brainsci14010060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Revised: 12/31/2023] [Accepted: 01/02/2024] [Indexed: 01/23/2024] Open
Abstract
Due to the widespread involvement of distributed collaboration triggered by COVID-19, it has become a new trend that has continued into the post-pandemic era. This study investigated collective performance within two collaborative environments (co-located and distancing settings) by assessing inter-brain synchrony patterns (IBS) among design collaborators using functional near-infrared spectroscopy. The preliminary study was conducted with three dyads who possessed 2-3 years of professional product design experience. Each dyad completed two designated design tasks in distinct settings. In the distributed condition, participants interacted through video conferencing in which they were allowed to communicate by verbalization and sketching using a shared digital whiteboard. To prevent the influences of different sketching tools on design outputs, we employed digital sketching for both environments. The interactions between collaborators were identified in three behaviors: verbal only, sketch only, and mixed communication (verbal and sketch). The consequences revealed a higher level of IBS when mixed communication took place in distributed conditions than in co-located conditions. Comparably, the occurrence of IBS increased when participants solely utilized sketching as the interaction approach within the co-located setting. A mixed communication method combining verbalization and sketching might lead to more coordinated cognitive processes when in physical isolation. Design collaborators are inclined to adjust their interaction behaviors in order to adapt to different design environments, strengthen the exchange of ideas, and construct design consensus. Overall, the present paper discussed the performance of virtual collaborative design based on a neurocognitive perspective, contributing valuable insights for the future intervention design that promotes effective virtual teamwork.
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Affiliation(s)
- Yi-Teng Shih
- School of Design, The Hong Kong Polytechnic University, Hong Kong
| | - Luqian Wang
- School of Design, The Hong Kong Polytechnic University, Hong Kong
| | - Clive H. Y. Wong
- Department of Psychology, The Education University of Hong Kong, Hong Kong
| | - Emily L. L. Sin
- School of Design, The Hong Kong Polytechnic University, Hong Kong
| | - Matthias Rauterberg
- Department of Industrial Design, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands
| | - Zhen Yuan
- Faculty of Health Sciences, University of Macau, Macau
| | - Leanne Chang
- School of Communication, Hong Kong Baptist University, Hong Kong
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14
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Song X, Dong M, Feng K, Li J, Hu X, Liu T. Influence of interpersonal distance on collaborative performance in the joint Simon task-An fNIRS-based hyperscanning study. Neuroimage 2024; 285:120473. [PMID: 38040400 DOI: 10.1016/j.neuroimage.2023.120473] [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: 07/04/2023] [Revised: 11/16/2023] [Accepted: 11/22/2023] [Indexed: 12/03/2023] Open
Abstract
Collaboration is a critical skill in everyday life. It has been suggested that collaborative performance may be influenced by social factors such as interpersonal distance, which is defined as the perceived psychological distance between individuals. Previous literature has reported that close interpersonal distance may promote the level of self-other integration between interacting members, and in turn, enhance collaborative performance. These studies mainly focused on interdependent collaboration, which requires high levels of shared representations and self-other integration. However, little is known about the effect of interpersonal distance on independent collaboration (e.g., the joint Simon task), in which individuals perform the task independently while the final outcome is determined by the parties. To address this issue, we simultaneously measured the frontal activations of ninety-four pairs of participants using a functional near-infrared spectroscopy (fNIRS)-based hyperscanning technique while they performed a joint Simon task. Behavioral results showed that the Joint Simon Effect (JSE), defined as the RT difference between incongruent and congruent conditions indicating the level of self-other integration between collaborators, was larger in the friend group than in the stranger group. Consistently, the inter-brain neural synchronization (INS) across the dorsolateral and medial parts of the prefrontal cortex was also stronger in the friend group. In addition, INS in the left dorsolateral prefrontal cortex negatively predicted JSE only in the friend group. These results suggest that close interpersonal distance may enhance the shared mental representation among collaborators, which in turn influences their collaborative performance.
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Affiliation(s)
- Xiaolei Song
- School of Psychology, Shaanxi Normal University, Xi'an, China; Key Laboratory for Behavior and Cognitive Neuroscience of Shaanxi Province, Xi'an, China.
| | - Meimei Dong
- School of Psychology, Shaanxi Normal University, Xi'an, China; Key Laboratory for Behavior and Cognitive Neuroscience of Shaanxi Province, Xi'an, China
| | - Kun Feng
- School of Psychology, Shaanxi Normal University, Xi'an, China; Key Laboratory for Behavior and Cognitive Neuroscience of Shaanxi Province, Xi'an, China
| | - Jiaqi Li
- School of Psychology, Shaanxi Normal University, Xi'an, China; Key Laboratory for Behavior and Cognitive Neuroscience of Shaanxi Province, Xi'an, China
| | - Xiaofei Hu
- School of Psychology, Shaanxi Normal University, Xi'an, China; Key Laboratory for Behavior and Cognitive Neuroscience of Shaanxi Province, Xi'an, China
| | - Tao Liu
- School of Management, Shanghai University, Shanghai, China; Department of Psychology, Fujian Medical University, Fuzhou, China; School of Education, Zhejiang University, Hangzhou, China.
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15
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Riva G, Wiederhold BK, Mantovani F. Searching for the Metaverse: Neuroscience of Physical and Digital Communities. CYBERPSYCHOLOGY, BEHAVIOR AND SOCIAL NETWORKING 2024; 27:9-18. [PMID: 37057986 PMCID: PMC10794843 DOI: 10.1089/cyber.2023.0040] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/15/2023]
Abstract
What distinguishes real-world communities from their online counterparts? Social and cognitive neuroscience research on social networks and collective intentionality will be used in the article to answer this question. Physical communities are born in places. And places engage "we-mode" neurobiological and cognitive processes as behavioral synchrony, shared attention, deliberate attunement, interbrain synchronization, and so on, which create coherent social networks of very different individuals who are supported by a "wisdom of crowd." Digital technologies remove physical boundaries, giving people more freedom to choose their activities and groups. At the same time, however, the lack of physical co-presence of community members significantly reduces their possibility of activating "we-mode" cognitive processes and social motivation. Because of this, unlike physical communities that allow interaction between people from varied origins and stories, digital communities are always made up of people who have the same interests and knowledge (communities of practice). This new situation disrupts the "wisdom of crowd," making the community more radical and less accurate (polarization effect), allowing influential users to wield disproportionate influence over the group's beliefs, and producing inequalities in the distribution of social capital. However, a new emergent technology-the Metaverse-has the potential to reverse this trend. Several studies have revealed that virtual and augmented reality-the major technologies underlying the Metaverse-can engage the same neurobiological and cognitive "we-mode" processes as real-world environments. If the many flaws in this technology are fixed, it might encourage people to engage in more meaningful and constructive interactions in online communities.
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Affiliation(s)
- Giuseppe Riva
- Applied Technology for Neuro-Psychology Lab, IRCCS Istituto Auxologico Italiano, Milan, Italy
- Humane Technology Lab, Università Cattolica del Sacro Cuore, Milan, Italy
| | - Brenda K. Wiederhold
- Virtual Reality Medical Center, La Jolla, California, USA
- Virtual Reality Medical Institute, Brussels, Belgium
| | - Fabrizia Mantovani
- Centre for Studies in Communication Sciences “Luigi Anolli” (CESCOM), Department of Human Sciences for Education “Riccardo Massa,” University of Milano Bicocca, Milan, Italy
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16
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Zhang H, Wang H, Long Y, Jiang Y, Lu C. Interpersonal neural synchronization underlies mnemonic similarity during collaborative remembering. Neuropsychologia 2023; 191:108732. [PMID: 37951386 DOI: 10.1016/j.neuropsychologia.2023.108732] [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: 04/27/2023] [Revised: 10/27/2023] [Accepted: 11/07/2023] [Indexed: 11/14/2023]
Abstract
Although collaborative remembering is a ubiquitous feature of human beings, its underlying neurocognitive process is not well understood. Here we hypothesized that interpersonal neural synchronization (INS) might underlie collaborative remembering, while real collaboration as opposed to other modes of offline collaboration should enhance INS and facilitate mnemonic similarity. To test these hypotheses, brain activity was measured simultaneously from two individuals who performed a group-based selective retrieval practice task either in a real collaboration or in a pseudo-collaboration, i.e., an individual performed the task together with a pre-recorded audio. The results showed that the memory of two individuals converged to a greater level than the chance level in real collaboration but not in control condition. Moreover, collaborative remembering was associated with significant INS increase in the prefrontal cortex (PFC) relative to the baseline in the real collaboration only. Additionally, INS increase was significantly greater in the real collaboration than in control condition. Finally, the PFC's INS increase was positively correlated with and could accurately predict the level of mnemonic similarity in real collaboration. These findings support the hypothesis that the enhanced INS underlies the cognitive process of collaborative remembering.
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Affiliation(s)
- Huan Zhang
- Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin, 300387, China; Faculty of Psychology, Tianjin Normal University, Tianjin, 300387, China; Tianjin Social Science Laboratory of Students' Mental Development and Learning, Tianjin, 300387, China
| | - Haiman Wang
- Faculty of Psychology, Tianjin Normal University, Tianjin, 300387, China; Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, 230088, China
| | - Yuhang Long
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Yunpeng Jiang
- Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin, 300387, China; Faculty of Psychology, Tianjin Normal University, Tianjin, 300387, China; Tianjin Social Science Laboratory of Students' Mental Development and Learning, Tianjin, 300387, China
| | - Chunming Lu
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.
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17
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Xu J, Wainio-Theberge S, Wolff A, Qin P, Zhang Y, She X, Wang Y, Wolman A, Smith D, Ignaszewski J, Choueiry J, Knott V, Scalabrini A, Northoff G. Culture shapes spontaneous brain dynamics - Shared versus idiosyncratic neural features among Chinese versus Canadian subjects. Soc Neurosci 2023; 18:312-330. [PMID: 37909114 DOI: 10.1080/17470919.2023.2278199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 10/27/2023] [Indexed: 11/02/2023]
Abstract
Environmental factors, such as culture, are known to shape individual variation in brain activity including spontaneous activity, but less is known about their population-level effects. Eastern and Western cultures differ strongly in their cultural norms about relationships between individuals. For example, the collectivism, interdependence and tightness of Eastern cultures relative to the individualism, independence and looseness of Western cultures, promote interpersonal connectedness and coordination. Do such cultural contexts therefore influence the group-level variability of their cultural members' spontaneous brain activity? Using novel methods adapted from studies of inter-subject neural synchrony, we compare the group-level variability of resting state EEG dynamics in Chinese and Canadian samples. We observe that Chinese subjects show significantly higher inter-subject correlation and lower inter-subject distance in their EEG power spectra than Canadian subjects, as well as lower variability in theta power and alpha peak frequency. We demonstrate, for the first time, different relationships among subjects' resting state brain dynamics in Chinese and Canadian samples. These results point to more idiosyncratic neural dynamics among Canadian participants, compared with more shared neural features in Chinese participants.
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Affiliation(s)
- Jiawei Xu
- Department of Philosophy, Xiamen University, Xiamen, Fujian, China
| | - Soren Wainio-Theberge
- Mind, Brain Imaging and Neuroethics Research Unit, Institute of Mental Health Research, University of Ottawa, Ottawa, Ontario, Canada
| | - Annemarie Wolff
- Mind, Brain Imaging and Neuroethics Research Unit, Institute of Mental Health Research, University of Ottawa, Ottawa, Ontario, Canada
| | - Pengmin Qin
- Centre for Studies of Psychological Applications, Guangdong Key Laboratory of Mental Health and Cognitive Science, School of Psychology, South China Normal University, Guangzhou, Guangdong, China
| | - Yihui Zhang
- Centre for Studies of Psychological Applications, Guangdong Key Laboratory of Mental Health and Cognitive Science, School of Psychology, South China Normal University, Guangzhou, Guangdong, China
| | - Xuan She
- Centre for Studies of Psychological Applications, Guangdong Key Laboratory of Mental Health and Cognitive Science, School of Psychology, South China Normal University, Guangzhou, Guangdong, China
| | - Yingying Wang
- Institute of Psychological Sciences, College of Education, Hangzhou Normal University, Hangzhou, Zhejiang, China
| | - Angelika Wolman
- Mind, Brain Imaging and Neuroethics Research Unit, Institute of Mental Health Research, University of Ottawa, Ottawa, Ontario, Canada
| | - David Smith
- Mind, Brain Imaging and Neuroethics Research Unit, Institute of Mental Health Research, University of Ottawa, Ottawa, Ontario, Canada
| | - Julia Ignaszewski
- Mind, Brain Imaging and Neuroethics Research Unit, Institute of Mental Health Research, University of Ottawa, Ottawa, Ontario, Canada
| | - Joelle Choueiry
- Institute of Mental Health Research, University of Ottawa, Ottawa, ON, Canada
- Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, ON, Canada
- School of Psychology, Faculty of Social Sciences, University of Ottawa, Ottawa, ON, Canada
| | - Verner Knott
- Institute of Mental Health Research, University of Ottawa, Ottawa, ON, Canada
- Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, ON, Canada
- School of Psychology, Faculty of Social Sciences, University of Ottawa, Ottawa, ON, Canada
| | - Andrea Scalabrini
- Department of Human and Social Sciences, University of Bergamo, Bergamo, Italy
| | - Georg Northoff
- Mind, Brain Imaging and Neuroethics Research Unit, Institute of Mental Health Research, University of Ottawa, Ottawa, Ontario, Canada
- Mental Health Center, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
- Centre for Cognition and Brain Disorders, Hangzhou Normal University, Hangzhou, Zhejiang, China
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18
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Lender A, Perdikis D, Gruber W, Lindenberger U, Müller V. Dynamics in interbrain synchronization while playing a piano duet. Ann N Y Acad Sci 2023; 1530:124-137. [PMID: 37824090 DOI: 10.1111/nyas.15072] [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] [Indexed: 10/13/2023]
Abstract
Humans interact with each other through actions that are implemented by sensory and motor processes. To investigate the role of interbrain synchronization emerging during interpersonal action coordination, electroencephalography data from 13 pairs of pianists were recorded simultaneously while they performed a duet together. The study aimed to investigate whether interbrain phase couplings can be reduced to similar bottom-up driven processes during synchronous play, or rather represent cognitive top-down control required during periods of higher coordination demands. To induce such periods, one of the musicians acted as a confederate who deliberately desynchronized the play. As intended, on the behavioral level, the perturbation caused a breakdown in the synchronization of the musicians' play and in its stability across trials. On the brain level, interbrain synchrony, as measured by the interbrain phase coherence (IPC), increased in the delta and theta frequency bands during perturbation as compared to non-perturbed trials. Interestingly, this increase in IPC in the delta band was accompanied by the shift of the phase difference angle from in-phase toward anti-phase synchrony. In conclusion, the current study demonstrates that interbrain synchronization is based on the interpersonal temporal alignment of different brain mechanisms and is not simply reducible to similar sensory or motor responses.
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Affiliation(s)
- Anja Lender
- Max Planck Institute for Human Development, Center for Lifespan Psychology, Berlin, Germany
- Centre for Cognitive Neuroscience, University of Salzburg, Salzburg, Austria
| | - Dionysios Perdikis
- Max Planck Institute for Human Development, Center for Lifespan Psychology, Berlin, Germany
- Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Walter Gruber
- Department of Physiological Psychology, University of Salzburg, Salzburg, Austria
| | - Ulman Lindenberger
- Max Planck Institute for Human Development, Center for Lifespan Psychology, Berlin, Germany
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, London, UK
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany
| | - Viktor Müller
- Max Planck Institute for Human Development, Center for Lifespan Psychology, Berlin, Germany
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19
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Tan SHJ, Wong JN, Teo WP. Is neuroimaging ready for the classroom? A systematic review of hyperscanning studies in learning. Neuroimage 2023; 281:120367. [PMID: 37689175 DOI: 10.1016/j.neuroimage.2023.120367] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 08/17/2023] [Accepted: 09/06/2023] [Indexed: 09/11/2023] Open
Abstract
Whether education research can be informed by findings from neuroscience studies has been hotly debated since Bruer's (1997) famous claim that neuroscience and education are "a bridge too far". However, this claim came before recent advancements in portable electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) technologies, and second-person neuroscience techniques that brought about significant headway in understanding instructor-learner interactions in the classroom. To explore whether neuroscience and education are still two very separate fields, we systematically review 15 hyperscanning studies that were conducted in real-world classrooms or that implemented a teaching-learning task to investigate instructor-learner dynamics. Findings from this investigation illustrate that inter-brain synchrony between instructor and learner is an additional and valuable dimension to understand the complex web of instructor- and learner-related variables that influence learning. Importantly, these findings demonstrate the possibility of conducting real-world classroom studies with portable neuroimaging techniques and highlight the potential of such studies in providing translatable real-world implications. Once thought of as incompatible, a successful coupling between neuroscience and education is now within sight.
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Affiliation(s)
- S H Jessica Tan
- Science of Learning in Education Centre, Office of Education Research, National Institute of Education, Nanyang Technological University, Singapore.
| | - Jin Nen Wong
- Science of Learning in Education Centre, Office of Education Research, National Institute of Education, Nanyang Technological University, Singapore
| | - Wei-Peng Teo
- Science of Learning in Education Centre, Office of Education Research, National Institute of Education, Nanyang Technological University, Singapore; Physical Education and Sport Science Academic Group, National Institute of Education, Nanyang Technological University, Singapore
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20
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Bilek E, Gündel H. [Working in a team and mental health]. DER NERVENARZT 2023; 94:993-1000. [PMID: 37874383 DOI: 10.1007/s00115-023-01555-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 09/11/2023] [Indexed: 10/25/2023]
Abstract
Humans have always naturally lived in groups, which has a significant impact on the well-being and mental stability of the individual. Various physiological processes are coregulated via the closeness of other persons. About one third of our adulthood is spent at work where social relationships often play an important role, because we are typically working with other individuals in groups or a team. In these situations, mutual support and successful cooperation can develop, which promotes the mental and physical health of the employees of a company ("social capital"). From various perspectives it becomes obvious that the quality of relationships at the workplace is a key factor for the satisfaction and health of individual employees as well as for the cohesion, resilience and performance of the entire team. This is confirmed by empirical findings that still need to be expanded, especially with respect to the neurobiological associations of the cooperation in teams and individual health.
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Affiliation(s)
- Edda Bilek
- Abteilung für Psychiatrie and Psychotherapie, Zentralinstitut für Psychische Gesundheit, Medizinische Fakultät Mannheim, Universität Heidelberg, Mannheim, Deutschland.
- Zentralinstitut für Psychische Gesundheit, Medizinische Fakultät Mannheim, Universität Heidelberg, Quadrat J5, 68159, Mannheim, Deutschland.
| | - Harald Gündel
- Abteilung für Psychosomatische Medizin, Universitätsklinikum Ulm, Ulm, Deutschland
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21
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Chatterjee I, Goršič M, Hossain MS, Clapp JD, Novak VD. Automated Classification of Dyadic Conversation Scenarios using Autonomic Nervous System Responses. IEEE TRANSACTIONS ON AFFECTIVE COMPUTING 2023; 14:3388-3395. [PMID: 38107015 PMCID: PMC10721131 DOI: 10.1109/taffc.2023.3236265] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Two people's physiological responses become more similar as those people talk or cooperate, a phenomenon called physiological synchrony. The degree of synchrony correlates with conversation engagement and cooperation quality, and could thus be used to characterize interpersonal interaction. In this study, we used a combination of physiological synchrony metrics and pattern recognition algorithms to automatically classify four different dyadic conversation scenarios: two-sided positive conversation, two-sided negative conversation, and two one-sided scenarios. Heart rate, skin conductance, respiration and peripheral skin temperature were measured from 16 dyads in all four scenarios, and individual as well as synchrony features were extracted from them. A two-stage classifier based on stepwise feature selection and linear discriminant analysis achieved a four-class classification accuracy of 75.0% in leave-dyad-out crossvalidation. Removing synchrony features reduced accuracy to 65.6%, indicating that synchrony is informative. In the future, such classification algorithms may be used to, e.g., provide real-time feedback about conversation mood to participants, with applications in areas such as mental health counseling and education. The approach may also generalize to group scenarios and adjacent areas such as cooperation and competition.
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Affiliation(s)
| | - Maja Goršič
- University of Cincinnati, Cincinnati, OH 45221
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22
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Xie E, Li K, Gu R, Zhang D, Li X. Verbal information exchange enhances collective performance through increasing group identification. Neuroimage 2023; 279:120339. [PMID: 37611814 DOI: 10.1016/j.neuroimage.2023.120339] [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: 06/22/2023] [Revised: 08/05/2023] [Accepted: 08/21/2023] [Indexed: 08/25/2023] Open
Abstract
Information exchange is a key factor in the attainment of collective outcomes and the navigation of social life. In the current study, we investigated whether and how information exchange enhanced collective performance by combining behavioral and neuroimaging approaches from the perspective of multiparticipant neuroscience. To evaluate collective performance, we measured the collaborative problem-solving abilities of triads working on a murder mystery case. We first found that verbal information exchange significantly enhanced collective performance compared to nonverbal exchange. Moreover, both group sharing and group discussion positively contributed to this effect, with group discussion being more essential. Importantly, group identification mediated the positive effect of verbal information exchange on collective performance. This mediation was supported by higher interactive frequency and enhanced within-group neural synchronization (GNS) in the dorsolateral prefrontal cortex (DLPFC). Taken together, we provided a multiparticipant theoretical model to explain how verbal information exchange enhanced collective performance. Our findings deepen the insight into the workings of group decision-making.
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Affiliation(s)
- Enhui Xie
- Shanghai Key Laboratory of Mental Health and Psychological Crisis Intervention, Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China
| | - Keshuang Li
- Shanghai Key Laboratory of Mental Health and Psychological Crisis Intervention, Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China
| | - Ruolei Gu
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing 100101, China
| | - Dandan Zhang
- Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, China
| | - Xianchun Li
- Shanghai Key Laboratory of Mental Health and Psychological Crisis Intervention, Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China; Shanghai Changning Mental Health Center, Shanghai 200335, China; Institute of Wisdom in China, East China Normal University, Shanghai 200062, China.
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23
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Vicente U, Ara A, Marco-Pallarés J. Intra- and inter-brain synchrony oscillations underlying social adjustment. Sci Rep 2023; 13:11211. [PMID: 37433866 DOI: 10.1038/s41598-023-38292-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Accepted: 07/06/2023] [Indexed: 07/13/2023] Open
Abstract
Humans naturally synchronize their behavior with other people. However, although it happens almost automatically, adjusting behavior and conformity to others is a complex phenomenon whose neural mechanisms are still yet to be understood entirely. The present experiment aimed to study the oscillatory synchronization mechanisms underlying automatic dyadic convergence in an EEG hyperscanning experiment. Thirty-six people performed a cooperative decision-making task where dyads had to guess the correct position of a point on a line. A reinforcement learning algorithm was used to model different aspects of the participants' behavior and their expectations of their peers. Intra- and inter-connectivity among electrode sites were assessed using inter-site phase clustering in three main frequency bands (theta, alpha, beta) using a two-level Bayesian mixed-effects modeling approach. The results showed two oscillatory synchronization dynamics related to attention and executive functions in alpha and reinforcement learning in theta. In addition, inter-brain synchrony was mainly driven by beta oscillations. This study contributes preliminary evidence on the phase-coherence mechanism underlying inter-personal behavioral adjustment.
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Affiliation(s)
- Unai Vicente
- Department of Cognition, Development and Educational Psychology, Faculty of Psychology, University of Barcelona, 08035, Barcelona, Spain.
- Cognition and Brain Plasticity Unit, Bellvitge Biomedical Research Institute, 08907, L'Hospitalet de Llobregat, Spain.
| | - Alberto Ara
- Cognitive Neuroscience Unit, Montreal Neurological Institute, McGill University, H3A 2B4, Montreal, Canada
- BRAMS: International Laboratory for Brain, Music and Sound Research, H3C 3J7, Montreal, Canada
| | - Josep Marco-Pallarés
- Department of Cognition, Development and Educational Psychology, Faculty of Psychology, University of Barcelona, 08035, Barcelona, Spain.
- Cognition and Brain Plasticity Unit, Bellvitge Biomedical Research Institute, 08907, L'Hospitalet de Llobregat, Spain.
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24
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Farrell S, Valdes AL. 'The Mind' promotes brain synchronization: an ecological evaluation of brain synchronization in co-operative tasks. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2023; 2023:1-4. [PMID: 38082864 DOI: 10.1109/embc40787.2023.10340212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
This paper presents an ecologically valid approach for using EEG hyperscanning methods to assess levels of interbrain synchrony (IBS) in teams during co-operative tasks. We employ a card-based task in an out-of-the-lab setting to evaluate levels of neural synchrony between team members completing a co-operative task. We also examine the interplay between the recorded synchronization levels and the collective performance of the team.Clinical Relevance- This study provides a simplistic and ecologically valid setup with potential to bring a better understanding of brain synchronization in clinical settings where co-operation would improve outcomes, such as home care facilities and memory clinics.
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25
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Koul A, Ahmar D, Iannetti GD, Novembre G. Spontaneous dyadic behaviour predicts the emergence of interpersonal neural synchrony. Neuroimage 2023:120233. [PMID: 37348621 DOI: 10.1016/j.neuroimage.2023.120233] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 06/14/2023] [Accepted: 06/15/2023] [Indexed: 06/24/2023] Open
Abstract
Synchronization of neural activity across brains - interpersonal neural synchrony (INS) - is emerging as a powerful marker of social interaction that predicts success of multi-person coordination, communication, and cooperation. As the origins of INS are poorly understood, we tested whether and how INS might emerge from spontaneous dyadic behavior. We recorded neural activity (EEG) and human behavior (full-body kinematics, eye movements and facial expressions) while dyads of participants were instructed to look at each other without speaking or making co-verbal gestures. We made four fundamental observations. First, despite the absence of a structured social task, INS emerged spontaneously only when participants were able to see each other. Second, we show that such spontaneous INS, comprising specific spectral and topographic profiles, did not merely reflect intra-personal modulations of neural activity, but it rather reflected real-time and dyad-specific coupling of neural activities. Third, using state-of-art video-image processing and deep learning, we extracted the temporal unfolding of three notable social behavioral cues - body movement, eye contact, and smiling - and demonstrated that these behaviors also spontaneously synchronized within dyads. Fourth, we probed the correlates of INS in such synchronized social behaviors. Using cross-correlation and Granger causality analyses, we show that synchronized social behaviors anticipate and in fact Granger cause INS. These results provide proof-of-concept evidence for studying interpersonal neural and behavioral synchrony under natural and unconstrained conditions. Most importantly, the results suggest that INS could be conceptualized as an emergent property of two coupled neural systems: an entrainment phenomenon, promoted by real-time dyadic behavior.
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Affiliation(s)
- Atesh Koul
- Neuroscience of Perception and Action Lab, Italian Institute of Technology (IIT), Viale Regina Elena 291, Rome, Italy.
| | - Davide Ahmar
- Neuroscience of Perception and Action Lab, Italian Institute of Technology (IIT), Viale Regina Elena 291, Rome, Italy
| | - Gian Domenico Iannetti
- Neuroscience and Behavior Lab, Italian Institute of Technology (IIT), Viale Regina Elena 291, Rome, Italy; Department of Neuroscience, Physiology and Pharmacology, University College London (UCL), WC1E 6BT, London, UK
| | - Giacomo Novembre
- Neuroscience of Perception and Action Lab, Italian Institute of Technology (IIT), Viale Regina Elena 291, Rome, Italy.
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Patil G, Nalepka P, Novak A, Auletta F, Pepping GJ, Fransen J, Kallen RW, Richardson MJ. Dynamical biomarkers in teams and other multiagent systems. J Sci Med Sport 2023:S1440-2440(23)00074-9. [PMID: 37150726 DOI: 10.1016/j.jsams.2023.04.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 02/26/2023] [Accepted: 04/17/2023] [Indexed: 05/09/2023]
Abstract
Effective team behavior in high-performance environments such as in sport and the military requires individual team members to efficiently perceive the unfolding task events, predict the actions and action intents of the other team members, and plan and execute their own actions to simultaneously accomplish individual and collective goals. To enhance team performance through effective cooperation, it is crucial to measure the situation awareness and dynamics of each team member and how they collectively impact the team's functioning. Further, to be practically useful for real-life settings, such measures must be easily obtainable from existing sensors. This paper presents several methodologies that can be used on positional and movement acceleration data of team members to quantify and/or predict team performance, assess situation awareness, and to help identify task-relevant information to support individual decision-making. Given the limited reporting of these methods within military cohorts, these methodologies are described using examples from team sports and teams training in virtual environments, with discussion as to how they can be applied to real-world military teams.
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Affiliation(s)
- Gaurav Patil
- School of Psychological Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, Australia; Center for Elite Performance, Expertise and Training, Faculty of Medicine, Health and Human Sciences, Macquarie University, Australia.
| | - Patrick Nalepka
- School of Psychological Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, Australia; Center for Elite Performance, Expertise and Training, Faculty of Medicine, Health and Human Sciences, Macquarie University, Australia.
| | - Andrew Novak
- Human Performance Research Centre, Sport and Exercise Science, Faculty of Health, University of Technology Sydney, Australia; High Performance Department, Rugby Australia, Australia
| | - Fabrizia Auletta
- School of Psychological Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, Australia; Department of Engineering Mathematics, University of Bristol, UK
| | - Gert-Jan Pepping
- School of Behavioural and Health Sciences, Australian Catholic University, Australia
| | - Job Fransen
- Department of Human Movement Sciences, University of Groningen, Netherlands
| | - Rachel W Kallen
- School of Psychological Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, Australia; Center for Elite Performance, Expertise and Training, Faculty of Medicine, Health and Human Sciences, Macquarie University, Australia
| | - Michael J Richardson
- School of Psychological Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, Australia; Center for Elite Performance, Expertise and Training, Faculty of Medicine, Health and Human Sciences, Macquarie University, Australia
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Lotter LD, Kohl SH, Gerloff C, Bell L, Niephaus A, Kruppa JA, Dukart J, Schulte-Rüther M, Reindl V, Konrad K. Revealing the neurobiology underlying interpersonal neural synchronization with multimodal data fusion. Neurosci Biobehav Rev 2023; 146:105042. [PMID: 36641012 DOI: 10.1016/j.neubiorev.2023.105042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 12/22/2022] [Accepted: 01/10/2023] [Indexed: 01/13/2023]
Abstract
Humans synchronize with one another to foster successful interactions. Here, we use a multimodal data fusion approach with the aim of elucidating the neurobiological mechanisms by which interpersonal neural synchronization (INS) occurs. Our meta-analysis of 22 functional magnetic resonance imaging and 69 near-infrared spectroscopy hyperscanning experiments (740 and 3721 subjects) revealed robust brain regional correlates of INS in the right temporoparietal junction and left ventral prefrontal cortex. Integrating this meta-analytic information with public databases, biobehavioral and brain-functional association analyses suggested that INS involves sensory-integrative hubs with functional connections to mentalizing and attention networks. On the molecular and genetic levels, we found INS to be associated with GABAergic neurotransmission and layer IV/V neuronal circuits, protracted developmental gene expression patterns, and disorders of neurodevelopment. Although limited by the indirect nature of phenotypic-molecular association analyses, our findings generate new testable hypotheses on the neurobiological basis of INS.
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Affiliation(s)
- Leon D Lotter
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital RWTH Aachen, Aachen, Germany; Institute of Neuroscience and Medicine - Brain & Behaviour (INM-7), Jülich Research Centre, Jülich, Germany; Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Max Planck School of Cognition, Stephanstrasse 1A, 04103 Leipzig, Germany.
| | - Simon H Kohl
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital RWTH Aachen, Aachen, Germany; JARA Brain Institute II, Molecular Neuroscience and Neuroimaging (INM-11), Jülich Research Centre, Jülich, Germany
| | - Christian Gerloff
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital RWTH Aachen, Aachen, Germany; JARA Brain Institute II, Molecular Neuroscience and Neuroimaging (INM-11), Jülich Research Centre, Jülich, Germany; Chair II of Mathematics, Faculty of Mathematics, Computer Science and Natural Sciences, RWTH Aachen University, Aachen, Germany
| | - Laura Bell
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital RWTH Aachen, Aachen, Germany; Audiovisual Media Center, Medical Faculty, RWTH Aachen University, Aachen, Germany
| | - Alexandra Niephaus
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital RWTH Aachen, Aachen, Germany
| | - Jana A Kruppa
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital RWTH Aachen, Aachen, Germany; JARA Brain Institute II, Molecular Neuroscience and Neuroimaging (INM-11), Jülich Research Centre, Jülich, Germany; Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
| | - Juergen Dukart
- Institute of Neuroscience and Medicine - Brain & Behaviour (INM-7), Jülich Research Centre, Jülich, Germany; Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Martin Schulte-Rüther
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital RWTH Aachen, Aachen, Germany; JARA Brain Institute II, Molecular Neuroscience and Neuroimaging (INM-11), Jülich Research Centre, Jülich, Germany; Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
| | - Vanessa Reindl
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital RWTH Aachen, Aachen, Germany; JARA Brain Institute II, Molecular Neuroscience and Neuroimaging (INM-11), Jülich Research Centre, Jülich, Germany; Psychology, School of Social Sciences, Nanyang Technological University, S639818, Singapore
| | - Kerstin Konrad
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital RWTH Aachen, Aachen, Germany; JARA Brain Institute II, Molecular Neuroscience and Neuroimaging (INM-11), Jülich Research Centre, Jülich, Germany
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Doherty EJ, Spencer CA, Burnison J, Čeko M, Chin J, Eloy L, Haring K, Kim P, Pittman D, Powers S, Pugh SL, Roumis D, Stephens JA, Yeh T, Hirshfield L. Interdisciplinary views of fNIRS: Current advancements, equity challenges, and an agenda for future needs of a diverse fNIRS research community. Front Integr Neurosci 2023; 17:1059679. [PMID: 36922983 PMCID: PMC10010439 DOI: 10.3389/fnint.2023.1059679] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Accepted: 02/08/2023] [Indexed: 03/02/2023] Open
Abstract
Functional Near-Infrared Spectroscopy (fNIRS) is an innovative and promising neuroimaging modality for studying brain activity in real-world environments. While fNIRS has seen rapid advancements in hardware, software, and research applications since its emergence nearly 30 years ago, limitations still exist regarding all three areas, where existing practices contribute to greater bias within the neuroscience research community. We spotlight fNIRS through the lens of different end-application users, including the unique perspective of a fNIRS manufacturer, and report the challenges of using this technology across several research disciplines and populations. Through the review of different research domains where fNIRS is utilized, we identify and address the presence of bias, specifically due to the restraints of current fNIRS technology, limited diversity among sample populations, and the societal prejudice that infiltrates today's research. Finally, we provide resources for minimizing bias in neuroscience research and an application agenda for the future use of fNIRS that is equitable, diverse, and inclusive.
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Affiliation(s)
- Emily J. Doherty
- Department of Computer Science, University of Colorado Boulder, Boulder, CO, United States
- Institute of Cognitive Science, University of Colorado Boulder, Boulder, CO, United States
| | - Cara A. Spencer
- Department of Computer Science, University of Colorado Boulder, Boulder, CO, United States
- Institute of Cognitive Science, University of Colorado Boulder, Boulder, CO, United States
| | | | - Marta Čeko
- Institute of Cognitive Science, University of Colorado Boulder, Boulder, CO, United States
| | - Jenna Chin
- College of Arts, Humanities, and Social Sciences, Psychology, University of Denver, Denver, CO, United States
| | - Lucca Eloy
- Department of Computer Science, University of Colorado Boulder, Boulder, CO, United States
- Institute of Cognitive Science, University of Colorado Boulder, Boulder, CO, United States
| | - Kerstin Haring
- Department of Computer Science, University of Denver, Denver, CO, United States
| | - Pilyoung Kim
- College of Arts, Humanities, and Social Sciences, Psychology, University of Denver, Denver, CO, United States
| | - Daniel Pittman
- Department of Computer Science, University of Denver, Denver, CO, United States
| | - Shannon Powers
- College of Arts, Humanities, and Social Sciences, Psychology, University of Denver, Denver, CO, United States
| | - Samuel L. Pugh
- Department of Computer Science, University of Colorado Boulder, Boulder, CO, United States
- Institute of Cognitive Science, University of Colorado Boulder, Boulder, CO, United States
| | | | - Jaclyn A. Stephens
- Department of Occupational Therapy, Colorado State University, Fort Collins, CO, United States
| | - Tom Yeh
- Department of Computer Science, University of Colorado Boulder, Boulder, CO, United States
| | - Leanne Hirshfield
- Department of Computer Science, University of Colorado Boulder, Boulder, CO, United States
- Institute of Cognitive Science, University of Colorado Boulder, Boulder, CO, United States
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29
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Balconi M, Angioletti L, Cassioli F. Hyperscanning EEG Paradigm Applied to Remote vs. Face-To-Face Learning in Managerial Contexts: Which Is Better? Brain Sci 2023; 13:brainsci13020356. [PMID: 36831899 PMCID: PMC9954592 DOI: 10.3390/brainsci13020356] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 02/16/2023] [Accepted: 02/17/2023] [Indexed: 02/22/2023] Open
Abstract
We propose a hyperscanning research design, where electroencephalographic (EEG) data were collected on an instructor and teams of learners. We compared neurophysiological measures within the frequency domain (delta, theta, alpha, and beta EEG bands) in the two conditions: face-to-face and remote settings. Data collection was carried out using wearable EEG systems. Conversational analysis was previously applied to detect comparable EEG time blocks and semantic topics. The digitalization of training can be considered a challenge but also a chance for organizations. However, if not carefully addressed, it might constitute a criticality. Limited research explored how remote, as opposed to face-to-face, training affects cognitive, (such as memory and attention), affective, and social processes in workgroups. Data showed an alpha desynchronization and, conversely, a theta and beta synchronization for the face-to-face condition. Moreover, trainees showed different patterns for beta power depending on the setting condition, with significantly increased power spectral density (PSD) in the face-to-face condition. These results highlight the relevance of neurophysiological measures in testing the e-learning process, in relation to the emotional engagement, memory encoding, and attentional processing.
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Affiliation(s)
- Michela Balconi
- International Research Center for Cognitive Applied Neuroscience (IrcCAN), Università Cattolica del Sacro Cuore, 20123 Milan, Italy
- Research Unit in Affective and Social Neuroscience, Department of Psychology, Università Cattolica del Sacro Cuore, 20123 Milan, Italy
| | - Laura Angioletti
- International Research Center for Cognitive Applied Neuroscience (IrcCAN), Università Cattolica del Sacro Cuore, 20123 Milan, Italy
- Research Unit in Affective and Social Neuroscience, Department of Psychology, Università Cattolica del Sacro Cuore, 20123 Milan, Italy
- Correspondence: ; Tel.: +39-2-7234-5929
| | - Federico Cassioli
- International Research Center for Cognitive Applied Neuroscience (IrcCAN), Università Cattolica del Sacro Cuore, 20123 Milan, Italy
- Research Unit in Affective and Social Neuroscience, Department of Psychology, Università Cattolica del Sacro Cuore, 20123 Milan, Italy
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30
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De Felice S, Hamilton AFDC, Ponari M, Vigliocco G. Learning from others is good, with others is better: the role of social interaction in human acquisition of new knowledge. Philos Trans R Soc Lond B Biol Sci 2023; 378:20210357. [PMID: 36571126 PMCID: PMC9791495 DOI: 10.1098/rstb.2021.0357] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Learning in humans is highly embedded in social interaction: since the very early stages of our lives, we form memories and acquire knowledge about the world from and with others. Yet, within cognitive science and neuroscience, human learning is mainly studied in isolation. The focus of past research in learning has been either exclusively on the learner or (less often) on the teacher, with the primary aim of determining developmental trajectories and/or effective teaching techniques. In fact, social interaction has rarely been explicitly taken as a variable of interest, despite being the medium through which learning occurs, especially in development, but also in adulthood. Here, we review behavioural and neuroimaging research on social human learning, specifically focusing on cognitive models of how we acquire semantic knowledge from and with others, and include both developmental as well as adult work. We then identify potential cognitive mechanisms that support social learning, and their neural correlates. The aim is to outline key new directions for experiments investigating how knowledge is acquired in its ecological niche, i.e. socially, within the framework of the two-person neuroscience approach. This article is part of the theme issue 'Concepts in interaction: social engagement and inner experiences'.
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Affiliation(s)
- Sara De Felice
- Institute of Cognitive Neuroscience, University College London (UCL), 17–19 Alexandra House Queen Square, London WC1N 3AZ, UK
| | - Antonia F. de C. Hamilton
- Institute of Cognitive Neuroscience, University College London (UCL), 17–19 Alexandra House Queen Square, London WC1N 3AZ, UK
| | - Marta Ponari
- School of Psychology, University of Kent, Canterbury CT2 7NP, UK
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31
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Hudson D, Wiltshire TJ, Atzmueller M. multiSyncPy: A Python package for assessing multivariate coordination dynamics. Behav Res Methods 2023; 55:932-962. [PMID: 35513768 PMCID: PMC10027834 DOI: 10.3758/s13428-022-01855-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
In order to support the burgeoning field of research into intra- and interpersonal synchrony, we present an open-source software package: multiSyncPy. Multivariate synchrony goes beyond the bivariate case and can be useful for quantifying how groups, teams, and families coordinate their behaviors, or estimating the degree to which multiple modalities from an individual become synchronized. Our package includes state-of-the-art multivariate methods including symbolic entropy, multidimensional recurrence quantification analysis, coherence (with an additional sum-normalized modification), the cluster-phase 'Rho' metric, and a statistical test based on the Kuramoto order parameter. We also include functions for two surrogation techniques to compare the observed coordination dynamics with chance levels and a windowing function to examine time-varying coordination for most of the measures. Taken together, our collation and presentation of these methods make the study of interpersonal synchronization and coordination dynamics applicable to larger, more complex and often more ecologically valid study designs. In this work, we summarize the relevant theoretical background and present illustrative practical examples, lessons learned, as well as guidance for the usage of our package - using synthetic as well as empirical data. Furthermore, we provide a discussion of our work and software and outline interesting further directions and perspectives. multiSyncPy is freely available under the LGPL license at: https://github.com/cslab-hub/multiSyncPy , and also available at the Python package index.
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Affiliation(s)
- Dan Hudson
- Semantic Information Systems Group, Institute of Computer Science, Osnabrück University, P.O. Box 4469, 49069, Osnabrueck, Germany.
- Department of Cognitive Science and Artificial Intelligence, Tilburg University, Tilburg, The Netherlands.
| | - Travis J Wiltshire
- Department of Cognitive Science and Artificial Intelligence, Tilburg University, Tilburg, The Netherlands
| | - Martin Atzmueller
- Semantic Information Systems Group, Institute of Computer Science, Osnabrück University, P.O. Box 4469, 49069, Osnabrueck, Germany
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Hou Y, Zhang D, Gan X, Hu Y. Group polarization calls for group-level brain communication. Neuroimage 2022; 264:119739. [PMID: 36356821 DOI: 10.1016/j.neuroimage.2022.119739] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Revised: 11/05/2022] [Accepted: 11/06/2022] [Indexed: 11/09/2022] Open
Abstract
Group of people shows the shift towards extreme of decision-making as opposed to individuals. Previous studies have revealed two directions of group polarization, i.e., risky shift and cautious shift, but how group of brains drive these shifts remains unknown. In the current study, we arranged risk advantage and disadvantage situations to elicit group polarization of risky shift and cautious shift respectively, and examined the averaged inter-brain synchronization (ABS) among participant triads during group decision making versus individual decision making. The elicited group polarizations were accompanied by the enhanced ABS at bilateral prefrontal areas and left temporoparietal junction (TPJ). Specifically, the TPJ ABS was equivalent in risky shift and cautious shift, and based on machine learning analyses, could predict the extent of group polarization; for two shifts, it negatively correlated with negative emotion. However, the right prefrontal ABS was stronger in risky shift than in cautious shift, and the same area showed the larger brain deactivation in former shift, indicating weaker executive control. For the left prefrontal ABS, only the equivalent ABS was found for two shifts. In sum, group polarization of risky shift and cautious shift calls for inter-brain communication at the group level, and the former shift is with deactivation and more brain synchronization. Our study suggests emotional and cognitive adjustment in decision making of the group compared with individuals.
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Affiliation(s)
- Yingying Hou
- Shanghai Key Laboratory of Mental Health and Psychological Crisis Intervention, School of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China
| | - Dingning Zhang
- Shanghai Key Laboratory of Mental Health and Psychological Crisis Intervention, School of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China
| | - Xiaorong Gan
- Shanghai Key Laboratory of Mental Health and Psychological Crisis Intervention, School of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China
| | - Yi Hu
- Shanghai Key Laboratory of Mental Health and Psychological Crisis Intervention, School of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China.
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Muacevic A, Adler JR, Berenholtz S, Wright S, Bowen K, Gogula S, Lee S, Toy S. A Multimodal Evaluation of Podcast Learning, Retention, and Electroencephalographically Measured Attention in Medical Trainees. Cureus 2022; 14:e31289. [PMID: 36514626 PMCID: PMC9733582 DOI: 10.7759/cureus.31289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/09/2022] [Indexed: 11/11/2022] Open
Abstract
INTRODUCTION Podcasts have become popular among medical trainees. However, it is unclear how well learners retain information from podcasts compared to traditional educational modalities, and whether multitasking affects the learner's ability to pay attention and learn. This study attempted to examine the effectiveness of podcast learning by using electroencephalography (EEG) to measure learner attention, in addition to test performance, task load, and preferences. METHODS The study used a repeated measures design with three conditions: podcast listening on a treadmill, podcast listening seated, and textbook reading seated. Participants were anesthesiology residents and medical students at a large United States academic medical center. Three topics were chosen: allergic response, liver physiology, and statistics. Each participant studied all three topics that were randomly assigned to one of three learning conditions - in random order. Participants completed a knowledge test at baseline, after each condition, and at four-week follow-up, and reported preferred learning modality and task load under each modality. Activation levels in alerting, orienting, and executive attentional networks were examined using EEG. Results: Sixty-one participants (11 anesthesiology residents and 50 medical students) were included in the study. Of the 61, six were excluded from the EEG analyses due to corrupted recordings. EEG results showed that mean attention network activation scores did not differ between the study conditions. Trainees preferred podcast learning over reading for all three topics. When compared to textbook reading, podcast learning (seated or on a treadmill) produced significantly better learning gain, and equivalent retention for two of the three topics. CONCLUSIONS Our study is the first to use neurocognitive data, self-reported satisfaction, and knowledge test performance to demonstrate that podcasts are at least equivalent to textbooks for maintaining attention, immediate learning, and retention - even while exercising.
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van Weelden E, Alimardani M, Wiltshire TJ, Louwerse MM. Aviation and neurophysiology: A systematic review. APPLIED ERGONOMICS 2022; 105:103838. [PMID: 35939991 DOI: 10.1016/j.apergo.2022.103838] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 06/22/2022] [Accepted: 06/23/2022] [Indexed: 05/24/2023]
Abstract
This paper systematically reviews 20 years of publications (N = 54) on aviation and neurophysiology. The main goal is to provide an account of neurophysiological changes associated with flight training with the aim of identifying neurometrics indicative of pilot's flight training level and task relevant mental states, as well as to capture the current state-of-art of (neuro)ergonomic design and practice in flight training. We identified multiple candidate neurometrics of training progress and workload, such as frontal theta power, the EEG Engagement Index and the Cognitive Stability Index. Furthermore, we discovered that several types of classifiers could be used to accurately detect mental states, such as the detection of drowsiness and mental fatigue. The paper advances practical guidelines on terminology usage, simulator fidelity, and multimodality, as well as future research ideas including the potential of Virtual Reality flight simulations for training, and a brain-computer interface for flight training.
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Affiliation(s)
- Evy van Weelden
- Department of Cognitive Science & Artificial Intelligence, Tilburg University, the Netherlands.
| | - Maryam Alimardani
- Department of Cognitive Science & Artificial Intelligence, Tilburg University, the Netherlands
| | - Travis J Wiltshire
- Department of Cognitive Science & Artificial Intelligence, Tilburg University, the Netherlands
| | - Max M Louwerse
- Department of Cognitive Science & Artificial Intelligence, Tilburg University, the Netherlands
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35
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Hałgas EA, van Eijndhoven KHJ, Gevers JMP, Wiltshire TJ, M. Westerink JHD, Rispens S. A Review of Using Wearable Technology to Assess Team Functioning and Performance. SMALL GROUP RESEARCH 2022. [DOI: 10.1177/10464964221125717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Wearable technology enables collecting continuous in situ data from multiple people in various modalities, which can enhance team research and support, as the dynamic coupling of signals between interacting individuals (i.e., team coordination dynamics) is believed to reflect underlying processes and states of team functioning and performance. We conducted a systematic review on existing literature to evaluate the prospective use of wearable technology in research and practice. Using the IMOI framework as an organizing tool, our review revealed considerable support linking team coordination dynamics in different modalities to team functioning and performance, but also explicated the field’s nascent status.
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Affiliation(s)
| | | | | | | | - Joyce H. D. M. Westerink
- Eindhoven University of Technology, The Netherlands
- Digital Engagement, Cognition and Behavior Group, Philips Research, Eindhoven, The Netherlands
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36
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Chen P, Kirk U, Dikker S. Trait mindful awareness predicts inter-brain coupling but not individual brain responses during naturalistic face-to-face interactions. Front Psychol 2022; 13:915345. [PMID: 36248509 PMCID: PMC9561904 DOI: 10.3389/fpsyg.2022.915345] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 09/13/2022] [Indexed: 11/25/2022] Open
Abstract
In recent years, the possible benefits of mindfulness meditation have sparked much public and academic interest. Mindfulness emphasizes cultivating awareness of our immediate experience and has been associated with compassion, empathy, and various other prosocial traits. However, neurobiological evidence pertaining to the prosocial benefits of mindfulness in social settings is sparse. In this study, we investigate neural correlates of trait mindful awareness during naturalistic dyadic interactions, using both intra-brain and inter-brain measures. We used the Muse headset, a portable electroencephalogram (EEG) device often used to support mindfulness meditation, to record brain activity from dyads as they engaged in naturalistic face-to-face interactions in a museum setting. While we did not replicate prior laboratory-based findings linking trait mindfulness to individual brain responses (N = 379 individuals), self-reported mindful awareness did predict dyadic inter-brain synchrony, in theta (~5–8 Hz) and beta frequencies (~26-27 Hz; N = 62 dyads). These findings underscore the importance of conducting social neuroscience research in ecological settings to enrich our understanding of how (multi-brain) neural correlates of social traits such as mindful awareness manifest during social interaction, while raising critical practical considerations regarding the viability of commercially available EEG systems.
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Affiliation(s)
- Phoebe Chen
- Psychology Department, New York University, New York City, NY, United States
- *Correspondence: Phoebe Chen,
| | - Ulrich Kirk
- Department of Psychology, University of Southern Denmark, Odense, Denmark
| | - Suzanne Dikker
- Psychology Department, New York University, New York City, NY, United States
- Department of Clinical Psychology, Free University Amsterdam, Amsterdam, Netherlands
- Max Planck - NYU Center for Language Music and Emotion, New York University, New York City, NY, United States
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37
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Cross ZR, Chatburn A, Melberzs L, Temby P, Pomeroy D, Schlesewsky M, Bornkessel-Schlesewsky I. Task-related, intrinsic oscillatory and aperiodic neural activity predict performance in naturalistic team-based training scenarios. Sci Rep 2022; 12:16172. [PMID: 36171478 PMCID: PMC9519541 DOI: 10.1038/s41598-022-20704-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 09/16/2022] [Indexed: 11/22/2022] Open
Abstract
Effective teams are essential for optimally functioning societies. However, little is known regarding the neural basis of two or more individuals engaging cooperatively in real-world tasks, such as in operational training environments. In this exploratory study, we recruited forty individuals paired as twenty dyads and recorded dual-EEG at rest and during realistic training scenarios of increasing complexity using virtual simulation systems. We estimated markers of intrinsic brain activity (i.e., individual alpha frequency and aperiodic activity), as well as task-related theta and alpha oscillations. Using nonlinear modelling and a logistic regression machine learning model, we found that resting-state EEG predicts performance and can also reliably differentiate between members within a dyad. Task-related theta and alpha activity during easy training tasks predicted later performance on complex training to a greater extent than prior behaviour. These findings complement laboratory-based research on both oscillatory and aperiodic activity in higher-order cognition and provide evidence that theta and alpha activity play a critical role in complex task performance in team environments.
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Affiliation(s)
- Zachariah R Cross
- Cognitive Neuroscience Laboratory - Australian Research Centre for Interactive and Virtual Environments, University of South Australia, Adelaide, Australia.
| | - Alex Chatburn
- Cognitive Neuroscience Laboratory - Australian Research Centre for Interactive and Virtual Environments, University of South Australia, Adelaide, Australia
| | - Lee Melberzs
- Department of Defence, Australian Army, Canberra, Australia
| | - Philip Temby
- Land Division, Defence Science and Technology Group, Edinburgh, SA, Australia
| | - Diane Pomeroy
- Land Division, Defence Science and Technology Group, Edinburgh, SA, Australia
| | - Matthias Schlesewsky
- Cognitive Neuroscience Laboratory - Australian Research Centre for Interactive and Virtual Environments, University of South Australia, Adelaide, Australia
| | - Ina Bornkessel-Schlesewsky
- Cognitive Neuroscience Laboratory - Australian Research Centre for Interactive and Virtual Environments, University of South Australia, Adelaide, Australia
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38
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Novak VD, Kostoulas T, Muszynski M, Cinel C, Nijholt A. Editorial: Harnessing physiological synchronization and hyperscanning to enhance collaboration and communication. FRONTIERS IN NEUROERGONOMICS 2022; 3:956087. [PMID: 38235457 PMCID: PMC10790855 DOI: 10.3389/fnrgo.2022.956087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2022] [Accepted: 06/28/2022] [Indexed: 01/19/2024]
Affiliation(s)
- Vesna Dominika Novak
- Department of Electrical Engineering and Computer Science, University of Cincinnati, Cincinnati, OH, United States
| | - Theodoros Kostoulas
- Department of Information and Communication Systems Engineering, University of the Aegean, Samos, Greece
| | - Michal Muszynski
- Department of Basic Neurosciences, University of Geneva, Geneva, Switzerland
| | - Caterina Cinel
- BCI-NE Lab, School of Computer Science and Electronic Engineering, University of Essex, Colchester, United Kingdom
| | - Anton Nijholt
- Human Media Interaction, University of Twente, Enschede, Netherlands
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39
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Chabin T, Gabriel D, Comte A, Pazart L. Audience Interbrain Synchrony During Live Music Is Shaped by Both the Number of People Sharing Pleasure and the Strength of This Pleasure. Front Hum Neurosci 2022; 16:855778. [PMID: 35601903 PMCID: PMC9121372 DOI: 10.3389/fnhum.2022.855778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Accepted: 04/08/2022] [Indexed: 12/02/2022] Open
Abstract
The study of interbrain coupling in a group of people attending a concert together is a favorable framework to estimate group emotions and more precisely emotional connection between people sharing situations in the same environment. It offers the advantage of studying interactions at the group level. By recording the cerebral activity of people from an audience during a concert using electroencephalography, we previously demonstrated that the higher the emotions and the physically closer the people were, the more the interbrain synchrony (IBS) was enhanced. To further investigate the parameters that shaped inter-brain synchronization in this context, we now focus on the emotional dynamics of the group as a whole by identifying specific moments in the concert that evoked strong or weak emotions, as well as strong or weak emotional cohesion between individuals. We demonstrated that audience interbrain synchrony is mainly associated with experiencing high musical pleasure and that the group emotional cohesion can enhance IBS, but alone is not the major parameter that shapes it in this context.
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Affiliation(s)
- Thibault Chabin
- Centre Hospitalier Universitaire de Besançon, Centre d'Investigation Clinique INSERM CIC 1431, Besançon, France
- Plateforme de Neuroimagerie Fonctionnelle et Neurostimulation Neuraxess, Centre Hospitalier Universitaire de Besançon, Université de Bourgogne Franche-Comté, Besançon, France
- Laboratoire de Recherches Intégratives en Neurosciences et Psychologie Cognitive, Université Bourgogne Franche-Comté, Besançon, France
- *Correspondence: Thibault Chabin
| | - Damien Gabriel
- Centre Hospitalier Universitaire de Besançon, Centre d'Investigation Clinique INSERM CIC 1431, Besançon, France
- Plateforme de Neuroimagerie Fonctionnelle et Neurostimulation Neuraxess, Centre Hospitalier Universitaire de Besançon, Université de Bourgogne Franche-Comté, Besançon, France
- Laboratoire de Recherches Intégratives en Neurosciences et Psychologie Cognitive, Université Bourgogne Franche-Comté, Besançon, France
| | - Alexandre Comte
- Centre Hospitalier Universitaire de Besançon, Centre d'Investigation Clinique INSERM CIC 1431, Besançon, France
- Plateforme de Neuroimagerie Fonctionnelle et Neurostimulation Neuraxess, Centre Hospitalier Universitaire de Besançon, Université de Bourgogne Franche-Comté, Besançon, France
- Laboratoire de Recherches Intégratives en Neurosciences et Psychologie Cognitive, Université Bourgogne Franche-Comté, Besançon, France
| | - Lionel Pazart
- Centre Hospitalier Universitaire de Besançon, Centre d'Investigation Clinique INSERM CIC 1431, Besançon, France
- Plateforme de Neuroimagerie Fonctionnelle et Neurostimulation Neuraxess, Centre Hospitalier Universitaire de Besançon, Université de Bourgogne Franche-Comté, Besançon, France
- Laboratoire de Recherches Intégratives en Neurosciences et Psychologie Cognitive, Université Bourgogne Franche-Comté, Besançon, France
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40
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Holroyd CB. Interbrain synchrony: on wavy ground. Trends Neurosci 2022; 45:346-357. [PMID: 35236639 DOI: 10.1016/j.tins.2022.02.002] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Revised: 01/08/2022] [Accepted: 02/04/2022] [Indexed: 12/15/2022]
Abstract
In recent years the study of dynamic, between-brain coupling mechanisms has taken social neuroscience by storm. In particular, interbrain synchrony (IBS) is a putative neural mechanism said to promote social interactions by enabling the functional integration of multiple brains. In this article, I argue that this research is beset with three pervasive and interrelated problems. First, the field lacks a widely accepted definition of IBS. Second, IBS wants for theories that can guide the design and interpretation of experiments. Third, a potpourri of tasks and empirical methods permits undue flexibility when testing the hypothesis. These factors synergistically undermine IBS as a theoretical construct. I finish by recommending measures that can address these issues.
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Affiliation(s)
- Clay B Holroyd
- Department of Experimental Psychology, Ghent University, Henri Dunantlaan 2, 9000 Gent, Belgium.
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41
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Müller V. Neural Synchrony and Network Dynamics in Social Interaction: A Hyper-Brain Cell Assembly Hypothesis. Front Hum Neurosci 2022; 16:848026. [PMID: 35572007 PMCID: PMC9101304 DOI: 10.3389/fnhum.2022.848026] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 03/25/2022] [Indexed: 11/13/2022] Open
Abstract
Mounting neurophysiological evidence suggests that interpersonal interaction relies on continual communication between cell assemblies within interacting brains and continual adjustments of these neuronal dynamic states between the brains. In this Hypothesis and Theory article, a Hyper-Brain Cell Assembly Hypothesis is suggested on the basis of a conceptual review of neural synchrony and network dynamics and their roles in emerging cell assemblies within the interacting brains. The proposed hypothesis states that such cell assemblies can emerge not only within, but also between the interacting brains. More precisely, the hyper-brain cell assembly encompasses and integrates oscillatory activity within and between brains, and represents a common hyper-brain unit, which has a certain relation to social behavior and interaction. Hyper-brain modules or communities, comprising nodes across two or several brains, are considered as one of the possible representations of the hypothesized hyper-brain cell assemblies, which can also have a multidimensional or multilayer structure. It is concluded that the neuronal dynamics during interpersonal interaction is brain-wide, i.e., it is based on common neuronal activity of several brains or, more generally, of the coupled physiological systems including brains.
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Affiliation(s)
- Viktor Müller
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
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42
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Lomas JD, Lin A, Dikker S, Forster D, Lupetti ML, Huisman G, Habekost J, Beardow C, Pandey P, Ahmad N, Miyapuram K, Mullen T, Cooper P, van der Maden W, Cross ES. Resonance as a Design Strategy for AI and Social Robots. Front Neurorobot 2022; 16:850489. [PMID: 35574227 PMCID: PMC9097027 DOI: 10.3389/fnbot.2022.850489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 03/23/2022] [Indexed: 11/20/2022] Open
Abstract
Resonance, a powerful and pervasive phenomenon, appears to play a major role in human interactions. This article investigates the relationship between the physical mechanism of resonance and the human experience of resonance, and considers possibilities for enhancing the experience of resonance within human-robot interactions. We first introduce resonance as a widespread cultural and scientific metaphor. Then, we review the nature of "sympathetic resonance" as a physical mechanism. Following this introduction, the remainder of the article is organized in two parts. In part one, we review the role of resonance (including synchronization and rhythmic entrainment) in human cognition and social interactions. Then, in part two, we review resonance-related phenomena in robotics and artificial intelligence (AI). These two reviews serve as ground for the introduction of a design strategy and combinatorial design space for shaping resonant interactions with robots and AI. We conclude by posing hypotheses and research questions for future empirical studies and discuss a range of ethical and aesthetic issues associated with resonance in human-robot interactions.
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Affiliation(s)
- James Derek Lomas
- Department of Human Centered Design, Faculty of Industrial Design Engineering, Delft University of Technology, Delft, Netherlands
| | - Albert Lin
- Center for Human Frontiers, Qualcomm Institute, University of California, San Diego, San Diego, CA, United States
| | - Suzanne Dikker
- Department of Psychology, New York University, New York, NY, United States
- Department of Clinical Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Deborah Forster
- Center for Human Frontiers, Qualcomm Institute, University of California, San Diego, San Diego, CA, United States
| | - Maria Luce Lupetti
- Department of Human Centered Design, Faculty of Industrial Design Engineering, Delft University of Technology, Delft, Netherlands
| | - Gijs Huisman
- Department of Human Centered Design, Faculty of Industrial Design Engineering, Delft University of Technology, Delft, Netherlands
| | - Julika Habekost
- The Design Lab, California Institute of Information and Communication Technologies, University of California, San Diego, San Diego, CA, United States
| | - Caiseal Beardow
- Department of Human Centered Design, Faculty of Industrial Design Engineering, Delft University of Technology, Delft, Netherlands
| | - Pankaj Pandey
- Centre for Cognitive and Brain Sciences, Indian Institute of Technology, Gandhinagar, India
| | - Nashra Ahmad
- Centre for Cognitive and Brain Sciences, Indian Institute of Technology, Gandhinagar, India
| | - Krishna Miyapuram
- Centre for Cognitive and Brain Sciences, Indian Institute of Technology, Gandhinagar, India
| | - Tim Mullen
- Intheon Labs, San Diego, CA, United States
| | - Patrick Cooper
- Department of Physics, Duquesne University, Pittsburgh, PA, United States
| | - Willem van der Maden
- Department of Human Centered Design, Faculty of Industrial Design Engineering, Delft University of Technology, Delft, Netherlands
| | - Emily S. Cross
- Social Robotics, Institute of Neuroscience and Psychology, School of Computing Science, University of Glasgow, Glasgow, United Kingdom
- SOBA Lab, School of Psychology, Macquarie University, Sydney, NSW, Australia
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43
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Wiltshire TJ, van Eijndhoven K, Halgas E, Gevers JMP. Prospects for Augmenting Team Interactions with Real-Time Coordination-Based Measures in Human-Autonomy Teams. Top Cogn Sci 2022. [PMID: 35261211 DOI: 10.1111/tops.12606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Revised: 02/02/2022] [Accepted: 02/04/2022] [Indexed: 11/26/2022]
Abstract
Complex work in teams requires coordination across team members and their technology as well as the ability to change and adapt over time to achieve effective performance. To support such complex interactions, recent efforts have worked toward the design of adaptive human-autonomy teaming systems that can provide feedback in or near real time to achieve the desired individual or team results. However, while significant advancements have been made to better model and understand the dynamics of team interaction and its relationship with task performance, appropriate measures of team coordination and computational methods to detect changes in coordination have not yet been widely investigated. Having the capacity to measure coordination in real time is quite promising as it provides the opportunity to provide adaptive feedback that may influence and regulate teams' coordination patterns and, ultimately, drive effective team performance. A critical requirement to reach this potential is having the theoretical and empirical foundation from which to do so. Therefore, the first goal of the paper is to review approaches to coordination dynamics, identify current research gaps, and draw insights from other areas, such as social interaction, relationship science, and psychotherapy. The second goal is to collate extant work on feedback and advance ideas for adaptive feedback systems that have potential to influence coordination in a way that can enhance the effectiveness of team interactions. In addressing these two goals, this work lays the foundation as well as plans for the future of human-autonomy teams that augment team interactions using coordination-based measures.
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Affiliation(s)
- Travis J Wiltshire
- Department of Cognitive Science and Artificial Intelligence, Tilburg University
| | | | - Elwira Halgas
- Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology
| | - Josette M P Gevers
- Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology
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44
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DEEP: A dual EEG pipeline for developmental hyperscanning studies. Dev Cogn Neurosci 2022; 54:101104. [PMID: 35367895 PMCID: PMC8980555 DOI: 10.1016/j.dcn.2022.101104] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 01/31/2022] [Accepted: 03/25/2022] [Indexed: 12/21/2022] Open
Abstract
Cutting-edge hyperscanning methods led to a paradigm shift in social neuroscience. It allowed researchers to measure dynamic mutual alignment of neural processes between two or more individuals in naturalistic contexts. The ever-growing interest in hyperscanning research calls for the development of transparent and validated data analysis methods to further advance the field. We have developed and tested a dual electroencephalography (EEG) analysis pipeline, namely DEEP. Following the preprocessing of the data, DEEP allows users to calculate Phase Locking Values (PLVs) and cross-frequency PLVs as indices of inter-brain phase alignment of dyads as well as time-frequency responses and EEG power for each participant. The pipeline also includes scripts to control for spurious correlations. Our goal is to contribute to open and reproducible science practices by making DEEP publicly available together with an example mother-infant EEG hyperscanning dataset.
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45
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Dikker S, Mech EN, Gwilliams L, West T, Dumas G, Federmeier KD. Exploring age-related changes in inter-brain synchrony during verbal communication. PSYCHOLOGY OF LEARNING AND MOTIVATION 2022. [DOI: 10.1016/bs.plm.2022.08.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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46
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Susnoschi Luca I, Putri FD, Ding H, Vuckovič A. Brain Synchrony in Competition and Collaboration During Multiuser Neurofeedback-Based Gaming. FRONTIERS IN NEUROERGONOMICS 2021; 2:749009. [PMID: 38235241 PMCID: PMC10790838 DOI: 10.3389/fnrgo.2021.749009] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 10/04/2021] [Indexed: 01/19/2024]
Abstract
EEG hyperscanning during multiuser gaming offers opportunities to study brain characteristics of social interaction under various paradigms. In this study, we aimed to characterize neural signatures and phase-based functional connectivity patterns of gaming strategies during collaborative and competitive alpha neurofeedback games. Twenty pairs of participants with no close relationship took part in three sessions of collaborative or competitive multiuser neurofeedback (NF), with identical graphical user interface, using Relative Alpha (RA) power as a control signal. Collaborating dyads had to keep their RA within 5% of each other for the team to be awarded a point, while members of competitive dyads scored points if their RA was 10% above their opponent's. Interbrain synchrony existed only during gaming but not during baseline in either collaborative or competitive gaming. Spectral analysis and interbrain connectivity showed that in collaborative gaming, players with higher resting state alpha content were more active in regulating their RA to match those of their partner. Moreover, interconnectivity was the strongest between homologous brain structures of the dyad in theta and alpha bands, indicating a similar degree of planning and social exchange. Competitive gaming emphasized the difference between participants who were able to relax and, in this way, maintain RA, and those who had an unsuccessful approach. Analysis of interbrain connections shows engagement of frontal areas in losers, but not in winners, indicating the formers' attempt to mentalise and apply strategies that might be suitable for conventional gaming, but inappropriate for the alpha neurofeedback-based game. We show that in gaming based on multiplayer non-verbalized NF, the winning strategy is dependent on the rules of the game and on the behavior of the opponent. Mental strategies that characterize successful gaming in the physical world might not be adequate for NF-based gaming.
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Affiliation(s)
- Ioana Susnoschi Luca
- Biomedical Research Division, School of Engineering, University of Glasgow, Glasgow, United Kingdom
| | - Finda Dwi Putri
- Biomedical Research Division, School of Engineering, University of Glasgow, Glasgow, United Kingdom
| | - Hao Ding
- Section of Movement Disorders and Neurostimulation, Biomedical Statistics and Multimodal Signal Processing Unit, Department of Neurology, Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Aleksandra Vuckovič
- Biomedical Research Division, School of Engineering, University of Glasgow, Glasgow, United Kingdom
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47
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Janssen TW, Grammer JK, Bleichner MG, Bulgarelli C, Davidesco I, Dikker S, Jasińska KK, Siugzdaite R, Vassena E, Vatakis A, Zion‐Golumbic E, van Atteveldt N. Opportunities and Limitations of Mobile Neuroimaging Technologies in Educational Neuroscience. MIND, BRAIN AND EDUCATION : THE OFFICIAL JOURNAL OF THE INTERNATIONAL MIND, BRAIN, AND EDUCATION SOCIETY 2021; 15:354-370. [PMID: 35875415 PMCID: PMC9292610 DOI: 10.1111/mbe.12302] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 06/18/2021] [Accepted: 09/01/2021] [Indexed: 05/20/2023]
Abstract
As the field of educational neuroscience continues to grow, questions have emerged regarding the ecological validity and applicability of this research to educational practice. Recent advances in mobile neuroimaging technologies have made it possible to conduct neuroscientific studies directly in naturalistic learning environments. We propose that embedding mobile neuroimaging research in a cycle (Matusz, Dikker, Huth, & Perrodin, 2019), involving lab-based, seminaturalistic, and fully naturalistic experiments, is well suited for addressing educational questions. With this review, we take a cautious approach, by discussing the valuable insights that can be gained from mobile neuroimaging technology, including electroencephalography and functional near-infrared spectroscopy, as well as the challenges posed by bringing neuroscientific methods into the classroom. Research paradigms used alongside mobile neuroimaging technology vary considerably. To illustrate this point, studies are discussed with increasingly naturalistic designs. We conclude with several ethical considerations that should be taken into account in this unique area of research.
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Affiliation(s)
- Tieme W.P. Janssen
- Department of Clinical, Neuro‐ & Developmental Psychology, Vrije Universiteit
| | - Jennie K. Grammer
- Graduate School of Education and Information Studies, University of California Los Angeles
| | | | - Chiara Bulgarelli
- Centre for Brain and Cognitive Development, Birkbeck University of London
| | - Ido Davidesco
- Department of Educational Psychology, University of Connecticut
| | | | - Kaja K. Jasińska
- Department of Applied Psychology and Human Development, University of Toronto
| | | | - Eliana Vassena
- Donders Institute for Brain, Cognition and Behaviour, Radboud University
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48
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Ayache J, Connor A, Marks S, Kuss DJ, Rhodes D, Sumich A, Heym N. Exploring the "Dark Matter" of Social Interaction: Systematic Review of a Decade of Research in Spontaneous Interpersonal Coordination. Front Psychol 2021; 12:718237. [PMID: 34707533 PMCID: PMC8542929 DOI: 10.3389/fpsyg.2021.718237] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 09/10/2021] [Indexed: 01/07/2023] Open
Abstract
Interpersonal coordination is a research topic that has attracted considerable attention this last decade both due to a theoretical shift from intra-individual to inter-individual processes and due to the development of new methods for recording and analyzing movements in ecological settings. Encompassing spatiotemporal behavioral matching, interpersonal coordination is considered as "social glue" due to its capacity to foster social bonding. However, the mechanisms underlying this effect are still unclear and recent findings suggest a complex picture. Goal-oriented joint action and spontaneous coordination are often conflated, making it difficult to disentangle the role of joint commitment from unconscious mutual attunement. Consequently, the goals of the present article are twofold: (1) to illustrate the rapid expansion of interpersonal coordination as a research topic and (2) to conduct a systematic review of spontaneous interpersonal coordination, summarizing its latest developments and current challenges this last decade. By applying Rapid Automatic Keyword Extraction and Latent Dirichlet Allocation algorithms, keywords were extracted from PubMed and Scopus databases revealing the large diversity of research topics associated with spontaneous interpersonal coordination. Using the same databases and the keywords "behavioral matching," "interactional synchrony," and "interpersonal coordination," 1,213 articles were identified, extracted, and screened following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses protocol. A total of 19 articles were selected using the following inclusion criteria: (1) dynamic and spontaneous interactions between two unacquainted individuals (2) kinematic analyses, and (3) non-clinical and non-expert adult populations. The results of this systematic review stress the proliferation of various definitions and experimental paradigms that study perceptual and/or social influences on the emergence of spontaneous interpersonal coordination. As methods and indices used to quantify interpersonal coordination differ from one study to another, it becomes difficult to establish a coherent picture. This review highlights the need to reconsider interpersonal coordination not as the pinnacle of social interactions but as a complex dynamical process that requires cautious interpretation. An interdisciplinary approach is necessary for building bridges across scattered research fields through opening a dialogue between different theoretical frameworks and consequently provides a more ecological and holistic understanding of human social cognition.
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Affiliation(s)
- Julia Ayache
- Department of Psychology, Nottingham Trent University, Nottingham, United Kingdom
| | - Andy Connor
- School of Future Environments, Auckland University of Technology, Auckland, New Zealand
| | - Stefan Marks
- School of Future Environments, Auckland University of Technology, Auckland, New Zealand
| | - Daria J. Kuss
- Department of Psychology, Nottingham Trent University, Nottingham, United Kingdom
| | - Darren Rhodes
- Department of Psychology, Nottingham Trent University, Nottingham, United Kingdom
| | - Alexander Sumich
- Department of Psychology, Nottingham Trent University, Nottingham, United Kingdom
- Department of Psychology, Auckland University of Technology, Auckland, New Zealand
| | - Nadja Heym
- Department of Psychology, Nottingham Trent University, Nottingham, United Kingdom
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49
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Team Flow Is a Unique Brain State Associated with Enhanced Information Integration and Interbrain Synchrony. eNeuro 2021; 8:ENEURO.0133-21.2021. [PMID: 34607804 PMCID: PMC8513532 DOI: 10.1523/eneuro.0133-21.2021] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 08/19/2021] [Accepted: 09/07/2021] [Indexed: 11/21/2022] Open
Abstract
Team flow occurs when a group functions in a high task engagement to achieve a goal, commonly seen in performance and sports. Team flow can enable enhanced positive experiences, as compared with individual flow or regular socializing. However, the neural basis for this enhanced behavioral state remains unclear. Here, we identified neural correlates (NCs) of team flow in human participants using a music rhythm task with electroencephalogram hyperscanning. Experimental manipulations held the motor task constant while disrupting the corresponding hedonic music to interfere with the flow state or occluding the partner's positive feedback to impede team interaction. We validated these manipulations by using psychometric ratings and an objective measure for the depth of flow experience, which uses the auditory-evoked potential (AEP) of a task-irrelevant stimulus. Spectral power analysis at both the scalp sensors and anatomic source levels revealed higher β-γ power specific to team flow in the left middle temporal cortex (L-MTC). Causal interaction analysis revealed that the L-MTC is downstream in information processing and receives information from areas encoding the flow or social states. The L-MTC significantly contributes to integrating information. Moreover, we found that team flow enhances global interbrain integrated information (II) and neural synchrony. We conclude that the NCs of team flow induce a distinct brain state. Our results suggest a neurocognitive mechanism to create this unique experience.
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Wyss AM, Knoch D. Neuroscientific approaches to study prosociality. Curr Opin Psychol 2021; 44:38-43. [PMID: 34560373 DOI: 10.1016/j.copsyc.2021.08.028] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 08/20/2021] [Accepted: 08/23/2021] [Indexed: 01/10/2023]
Abstract
Prosociality is a core feature of human functioning and has been a topic of interest across disciplinary boundaries for decades. In this review, we highlight different neuroscientific approaches that have enriched traditional psychological methods for studying prosocial behavior among individuals and groups. First, we outline findings from task-based neuroimaging studies that provide correlational evidence for the involvement of different neural mechanisms in prosocial behavior. Next, we present different brain stimulation studies that show several brain areas to be causally related to prosocial behavior. Furthermore, we outline the task-independent neural trait approach that quantifies temporally stable brain-based characteristics in an effort to uncover sources of interindividual differences in prosocial preferences. We discuss how the findings from these approaches have contributed to our understanding of prosocial behavior and suggest directions for future research.
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Affiliation(s)
- Annika M Wyss
- Department of Social Neuroscience and Social Psychology, University of Bern, Switzerland.
| | - Daria Knoch
- Department of Social Neuroscience and Social Psychology, University of Bern, Switzerland.
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