Relational neuroscience: Insights from hyperscanning research

IF 7.5 1区 医学 Q1 BEHAVIORAL SCIENCES Neuroscience and Biobehavioral Reviews Pub Date : 2025-02-01 DOI:10.1016/j.neubiorev.2024.105979
Sara De Felice , Tara Chand , Ilona Croy , Veronika Engert , Pavel Goldstein , Clay B. Holroyd , Peter Kirsch , Sören Krach , Yina Ma , Dirk Scheele , Matthias Schurz , Stefan R. Schweinberger , Stefanie Hoehl , Pascal Vrticka
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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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关系神经科学:超级扫描研究的启示。
人类的社交能力很强,通常不需要付出明显的努力。然而,这种社交能力对人类大脑的计算和科学家的研究都提出了挑战。在过去的几十年里,人类社会性神经科学研究的重点已从单脑分析转移到多个大脑之间发生的复杂动态变化,并提出了这些动态变化意味着什么以及它们与多方面行为模型之间的关系等问题。我们提出了 "关系神经科学"(Relational Neuroscience)这一术语,用以概括跨学科的研究领域,该领域致力于模拟支持人类联系的脑间动态,涵盖从实时共同体验到长期社会纽带等多个方面。超扫描,即同时测量多个个体的大脑活动,已被证明是一种极具潜力的脑间动力学研究技术。在这里,我们将讨论超扫描如何帮助研究关系神经科学领域的问题,同时考虑到各种子领域,包括双人和群体中的合作互动、移情、社会依恋和联系以及发育神经科学。在从超级扫描的角度介绍关系神经科学的同时,我们的讨论还考虑到了行为学、生理学和内分泌学,以正确解释社会背景下的脑间动态。我们考虑了超扫描在回答大脑互动问题方面的优势、局限性和注意事项。我们的目的是为未来的工作提供一个综合框架,以便在各种环境和研究子领域中建立更好的理论,为人类的社会性建模。
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来源期刊
CiteScore
14.20
自引率
3.70%
发文量
466
审稿时长
6 months
期刊介绍: The official journal of the International Behavioral Neuroscience Society publishes original and significant review articles that explore the intersection between neuroscience and the study of psychological processes and behavior. The journal also welcomes articles that primarily focus on psychological processes and behavior, as long as they have relevance to one or more areas of neuroscience.
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