The Interpersonal Neuroscience of Social Learning DOI
Yafeng Pan, Giacomo Novembre, Andreas Olsson

et al.

Perspectives on Psychological Science, Journal Year: 2021, Volume and Issue: 17(3), P. 680 - 695

Published: Oct. 12, 2021

The study of the brain mechanisms underpinning social behavior is currently undergoing a paradigm shift, moving its focus from single individuals to real-time interaction among groups individuals. Although this development opens unprecedented opportunities how interpersonal activity shapes behaviors through learning, there have been few direct connections rich field learning science. Our article examines rapidly developing neuroscience (and could be) contributing our understanding learning. To end, we first review recent research extracting indices brain-to-brain coupling (BtBC) in context and, particular, We then discuss studying communicative during can aid interpretation BtBC and inform such behaviors. collectively predict outcomes, suggest several causative mechanistic models. Finally, highlight key methodological interpretational challenges as well exciting for integrating with propose multiperson framework transmission information between individual brains

Language: Английский

Interbrain synchrony: on wavy ground DOI
Clay B. Holroyd

Trends in Neurosciences, Journal Year: 2022, Volume and Issue: 45(5), P. 346 - 357

Published: Feb. 28, 2022

Language: Английский

Citations

81

The Temporal Dynamics of Brain-to-Brain Synchrony Between Students and Teachers Predict Learning Outcomes DOI
Ido Davidesco, Emma Laurent,

H. S. Valk

et al.

Psychological Science, Journal Year: 2023, Volume and Issue: 34(5), P. 633 - 643

Published: April 13, 2023

Much of human learning happens through interaction with other people, but little is known about how this process reflected in the brains students and teachers. Here, we concurrently recorded electroencephalography (EEG) data from nine groups, each which contained four a teacher. All participants were young adults northeast United States. Alpha-band (8–12 Hz) brain-to-brain synchrony between predicted both immediate delayed posttest performance. Further, was higher specific lecture segments associated questions that answered correctly. Brain-to-brain teachers outcomes at an approximately 300-ms lag students’ brain activity relative to teacher’s activity, consistent time course spoken-language comprehension. These findings provide key new evidence for importance collecting simultaneously groups learners ecologically valid settings.

Language: Английский

Citations

47

Metaverse in Mental Health: The Beginning of a Long History DOI Creative Commons
Antonio Cerasa, Andrea Gaggioli, Giovanni Pioggia

et al.

Current Psychiatry Reports, Journal Year: 2024, Volume and Issue: 26(6), P. 294 - 303

Published: April 11, 2024

Abstract Purpose of Review We review the first pilot studies applying metaverse-related technologies in psychiatric patients and discuss rationale for using this complex federation to treat mental diseases. Concerning previous virtual-reality applications medical care, metaverse provide unique opportunity define, control, shape virtual scenarios shared by multi-users exploit “synchronized brains” potential exacerbated social interactions. Recent Findings The application an avatar-based sexual therapy program conducted on a platform has been demonstrated be more effective concerning traditional coaching treating female orgasm disorders. Again, metaverse-based skills training tested children with autism spectrum disorders, demonstrating significant impact interaction abilities. Summary Metaverse-related could enable us develop new reliable approaches diseases where behavioral symptoms can addressed socio-attentive tasks social-interaction strategies.

Language: Английский

Citations

19

The neurosociological paradigm of the metaverse DOI Creative Commons
Olga Maslova, Natalia Shusharina, V. F. Pyatin

et al.

Frontiers in Psychology, Journal Year: 2025, Volume and Issue: 15

Published: Jan. 7, 2025

Metaverse integrates people into the virtual world, and challenges depend on advances in human, technological, procedural dimensions. Until now, solutions to these have not involved extensive neurosociological research. The study explores pioneering paradigm metaverse, emphasizing its potential revolutionize our understanding of social interactions through advanced methodologies such as hyperscanning interbrain synchrony. This convergence presents unprecedented opportunities for neurotypical neurodivergent individuals due technology personalization. Traditional face-to-face, coupling, metaverse are empirically substantiated. Biomarkers interaction feedback between brain networks is presented. innovative contribution findings broader literature neurosociology article also discusses ethical aspects integrating metaverse.

Language: Английский

Citations

2

Multimodal hyperscanning reveals that synchrony of body and mind are distinct in mother-child dyads DOI Creative Commons
Vanessa Reindl, Sam Wass, Victoria Leong

et al.

NeuroImage, Journal Year: 2022, Volume and Issue: 251, P. 118982 - 118982

Published: Feb. 8, 2022

Hyperscanning studies have begun to unravel the brain mechanisms underlying social interaction, indicating a functional role for interpersonal neural synchronization (INS), yet that drive INS are poorly understood. The current study, thus, addresses whether is functionally-distinct from synchrony in other systems - specifically autonomic nervous system and motor behavior. To test this, we used concurrent near-infrared spectroscopy electrocardiography recordings, while N = 34 mother-child stranger-child dyads engaged cooperative competitive tasks. Only domain was higher compared observed. Further, were positively related during competition but not cooperation. These results suggest different behavioral biological may reflect distinct processes. Furthermore, they show increased unlikely be explained solely by shared arousal similarities, supporting recent theories postulate close relationships.

Language: Английский

Citations

64

A Guide to Parent-Child fNIRS Hyperscanning Data Processing and Analysis DOI Creative Commons
Trinh Nguyen, Stefanie Hoehl, Pascal Vrtička

et al.

Sensors, Journal Year: 2021, Volume and Issue: 21(12), P. 4075 - 4075

Published: June 13, 2021

The use of functional near-infrared spectroscopy (fNIRS) hyperscanning during naturalistic interactions in parent–child dyads has substantially advanced our understanding the neurobiological underpinnings human social interaction. However, despite rise developmental studies over last years, analysis procedures have not yet been standardized and are often individually developed by each research team. This article offers a guide on fNIRS data MATLAB R. We provide an example dataset 20 assessed cooperative versus individual problem-solving task, with brain signal acquired using 16 channels located bilateral frontal temporo-parietal areas. toolboxes Homer2 SPM for to preprocess suggest procedure. Next, we calculate interpersonal neural synchrony between Wavelet Transform Coherence (WTC) illustrate how run random pair control spurious correlations signal. then RStudio estimate Generalized Linear Mixed Models (GLMM) account bounded distribution coherence values analyses. With this guide, hope offer advice future investigations enhance replicability within field.

Language: Английский

Citations

58

Learningfromothers is good,withothers is better: the role of social interaction in human acquisition of new knowledge DOI
Sara De Felice, Antonia F. de C. Hamilton, Marta Ponari

et al.

Philosophical Transactions of the Royal Society B Biological Sciences, Journal Year: 2022, Volume and Issue: 378(1870)

Published: Dec. 26, 2022

Learning in humans is highly embedded social interaction: since the very early stages of our lives, we form memories and acquire knowledge about world from with others. Yet, within cognitive science neuroscience, human learning mainly studied isolation. The focus past research has been either exclusively on learner or (less often) teacher, primary aim determining developmental trajectories and/or effective teaching techniques. In fact, interaction rarely explicitly taken as a variable interest, despite being medium through which occurs, especially development, but also adulthood. Here, review behavioural neuroimaging learning, specifically focusing models how semantic others, include both well adult work. We then identify potential mechanisms that support their neural correlates. to outline key new directions for experiments investigating acquired its ecological niche, i.e. socially, framework two-person neuroscience approach. This article part theme issue ‘Concepts engagement inner experiences’.

Language: Английский

Citations

52

Quantification of inter-brain coupling: A review of current methods used in haemodynamic and electrophysiological hyperscanning studies DOI Creative Commons
Uzair Hakim, Sara De Felice, Paola Pinti

et al.

NeuroImage, Journal Year: 2023, Volume and Issue: 280, P. 120354 - 120354

Published: Sept. 4, 2023

Hyperscanning is a form of neuroimaging experiment where the brains two or more participants are imaged simultaneously whilst they interact. Within domain social neuroscience, hyperscanning increasingly used to measure inter-brain coupling (IBC) and explore how brain responses change in tandem during interaction. In addition cognitive research, some have suggested that quantification interplay between interacting can be as biomarker for variety mechanisms aswell investigate mental health developmental conditions including schizophrenia, anxiety autism. However, many different methods been quantify this lead questions about comparability across studies reduce research reproducibility. Here, we review quantifying IBC, suggest ways moving forward. Following PRISMA guidelines, reviewed 215 studies, four imaging modalities: functional near-infrared spectroscopy (fNIRS), magnetic resonance (fMRI), electroencephalography (EEG) magnetoencephalography (MEG). Overall, identified total 27 compute IBC. The most common modality fNIRS, by 119 89 which adopted wavelet coherence. Based on results literature survey, first report summary statistics field, followed brief overview each signal obtained from hyperscanning. We then discuss rationale, assumptions suitability method modalities Finally, issues surrounding interpretation method.

Language: Английский

Citations

36

Spontaneous dyadic behavior predicts the emergence of interpersonal neural synchrony DOI Creative Commons
Atesh Koul,

Davide Ahmar,

Gian Domenico Iannetti

et al.

NeuroImage, Journal Year: 2023, Volume and Issue: 277, P. 120233 - 120233

Published: June 21, 2023

Synchronization of neural activity across brains – interpersonal synchrony (INS) is emerging as a powerful marker social interaction that predicts success multi-person coordination, communication, and cooperation. As the origins INS are poorly understood, we tested whether how might emerge from spontaneous dyadic behavior. We recorded (EEG) human behavior (full-body kinematics, eye movements facial expressions) while dyads participants were instructed to look at each other without speaking or making co-verbal gestures. made four fundamental observations. First, despite absence structured task, emerged spontaneously only when able see other. Second, show such INS, comprising specific spectral topographic profiles, did not merely reflect intra-personal modulations activity, but it rather reflected real-time dyad-specific coupling activities. Third, using state-of-art video-image processing deep learning, extracted temporal unfolding three notable behavioral cues body movement, contact, smiling demonstrated these behaviors also synchronized within dyads. Fourth, probed correlates in behaviors. Using cross-correlation Granger causality analyses, anticipate fact cause INS. These results provide proof-of-concept evidence for studying under natural unconstrained conditions. Most importantly, suggest could be conceptualized an emergent property two coupled systems: entrainment phenomenon, promoted by

Language: Английский

Citations

32

Revealing the neurobiology underlying interpersonal neural synchronization with multimodal data fusion DOI Creative Commons
Leon D. Lotter, Simon H. Kohl, Christian Gerloff

et al.

Neuroscience & Biobehavioral Reviews, Journal Year: 2023, Volume and Issue: 146, P. 105042 - 105042

Published: Jan. 11, 2023

Humans synchronize with one another to foster successful interactions. Here, we use a multimodal data fusion approach the aim of elucidating neurobiological mechanisms by which interpersonal neural synchronization (INS) occurs. Our meta-analysis 22 functional magnetic resonance imaging and 69 near-infrared spectroscopy hyperscanning experiments (740 3721 subjects) revealed robust brain regional correlates INS in right temporoparietal junction left ventral prefrontal cortex. Integrating this meta-analytic information public databases, biobehavioral brain-functional association analyses suggested that involves sensory-integrative hubs connections mentalizing attention networks. On molecular genetic levels, found be associated GABAergic neurotransmission layer IV/V neuronal circuits, protracted developmental gene expression patterns, disorders neurodevelopment. Although limited indirect nature phenotypic-molecular analyses, our findings generate new testable hypotheses on basis INS.

Language: Английский

Citations

24