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De Felice S, Chand T, Croy I, Engert V, Goldstein P, Holroyd CB, Kirsch P, Krach S, Ma Y, Scheele D, Schurz M, Schweinberger SR, Hoehl S, Vrticka P. Relational neuroscience: Insights from hyperscanning research. Neurosci Biobehav Rev 2025; 169:105979. [PMID: 39674533 DOI: 10.1016/j.neubiorev.2024.105979] [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: 07/26/2024] [Revised: 10/16/2024] [Accepted: 12/05/2024] [Indexed: 12/16/2024]
Abstract
Humans are highly social, typically without this ability requiring noticeable efforts. Yet, such social fluency poses challenges both for the human brain to compute and for scientists to study. Over the last few decades, neuroscientific research of human sociality has witnessed a shift in focus from single-brain analysis to complex dynamics occurring across several brains, posing questions about what these dynamics mean and how they relate to multifaceted behavioural models. We propose the term 'Relational Neuroscience' to collate the interdisciplinary research field devoted to modelling the inter-brain dynamics subserving human connections, spanning from real-time joint experiences to long-term social bonds. Hyperscanning, i.e., simultaneously measuring brain activity from multiple individuals, has proven to be a highly promising technique to investigate inter-brain dynamics. Here, we discuss how hyperscanning can help investigate questions within the field of Relational Neuroscience, considering a variety of subfields, including cooperative interactions in dyads and groups, empathy, attachment and bonding, and developmental neuroscience. While presenting Relational Neuroscience in the light of hyperscanning, our discussion also takes into account behaviour, physiology and endocrinology to properly interpret inter-brain dynamics within social contexts. We consider the strengths but also the limitations and caveats of hyperscanning to answer questions about interacting people. The aim is to provide an integrative framework for future work to build better theories across a variety of contexts and research subfields to model human sociality.
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Affiliation(s)
| | - Tara Chand
- Jindal Institute of Behavioural Sciences, O. P. Jindal Global University, Sonipat, Haryana, India; Department of Clinical Psychology, Friedrich-Schiller University Jena, Jena, Germany
| | - Ilona Croy
- Department of Clinical Psychology, Friedrich-Schiller University Jena, Jena, Germany; German Center for Mental Health (DZPG), Site Jena-Magdeburg-Halle, Germany
| | - Veronika Engert
- German Center for Mental Health (DZPG), Site Jena-Magdeburg-Halle, Germany; Institute of Psychosocial Medicine, Psychotherapy and Psychooncology, Jena University Hospital, Jena, Germany; Center for Intervention and Research on adaptive and maladaptive brain Circuits underlying mental health (C-I-R-C), Jena-Magdeburg-Halle, Jena, Germany
| | - Pavel Goldstein
- Integrative Pain Laboratory, School of Public Health, University of Haifa, Haifa, Israel
| | - Clay B Holroyd
- Department of Experimental Psychology, Ghent University, Ghent, Belgium
| | - Peter Kirsch
- Department of Clinical Psychology, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Institute of Psychology, University of Heidelberg, Germany; German Center for Mental Health (DZPG), Site Mannheim-Heidelberg-Ulm, Germany
| | - Sören Krach
- Klinik für Psychiatrie und Psychotherapie, University of Lübeck, Lübeck, Germany
| | - Yina Ma
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China; Chinese Institute for Brain Research, Beijing, China
| | - Dirk Scheele
- Department of Social Neuroscience, Faculty of Medicine, Ruhr University Bochum, Germany; Research Center One Health Ruhr of the University Alliance Ruhr, Ruhr University Bochum, Germany
| | - Matthias Schurz
- Department of Psychology, Faculty of Psychology and Sport Science, and Digital Science Center (DiSC), University of Innsbruck, Innsbruck, Austria
| | - Stefan R Schweinberger
- German Center for Mental Health (DZPG), Site Jena-Magdeburg-Halle, Germany; Department of General Psychology, Friedrich Schiller University, Jena, Germany
| | - Stefanie Hoehl
- Faculty of Psychology, University of Vienna, Vienna, Austria.
| | - Pascal Vrticka
- Centre for Brain Science, Department of Psychology, University of Essex, Colchester, United Kingdom
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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] [MESH Headings] [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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Ni J, Yang J, Ma Y. Social bonding in groups of humans selectively increases inter-status information exchange and prefrontal neural synchronization. PLoS Biol 2024; 22:e3002545. [PMID: 38502637 PMCID: PMC10950240 DOI: 10.1371/journal.pbio.3002545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 02/12/2024] [Indexed: 03/21/2024] Open
Abstract
Social groups in various social species are organized with hierarchical structures that shape group dynamics and the nature of within-group interactions. In-group social bonding, exemplified by grooming behaviors among animals and collective rituals and team-building activities in human societies, is recognized as a practical adaptive strategy to foster group harmony and stabilize hierarchical structures in both human and nonhuman animal groups. However, the neurocognitive mechanisms underlying the effects of social bonding on hierarchical groups remain largely unexplored. Here, we conducted simultaneous neural recordings on human participants engaged in-group communications within small hierarchical groups (n = 528, organized into 176 three-person groups) to investigate how social bonding influenced hierarchical interactions and neural synchronizations. We differentiated interpersonal interactions between individuals of different (inter-status) or same (intra-status) social status and observed distinct effects of social bonding on inter-status and intra-status interactions. Specifically, social bonding selectively increased frequent and rapid information exchange and prefrontal neural synchronization for inter-status dyads but not intra-status dyads. Furthermore, social bonding facilitated unidirectional neural alignment from group leader to followers, enabling group leaders to predictively align their prefrontal activity with that of followers. These findings provide insights into how social bonding influences hierarchical dynamics and neural synchronization while highlighting the role of social status in shaping the strength and nature of social bonding experiences in human groups.
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Affiliation(s)
- Jun Ni
- State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University, Beijing, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China
| | - Jiaxin Yang
- State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University, Beijing, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China
| | - Yina Ma
- State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University, Beijing, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China
- Chinese Institute for Brain Research, Beijing, China
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