De Fano Antonio, Fiedler Patrique, Zappasodi Filippo, Bertollo Maurizio, Comani Silvia
Department of Education and Sports Sciences, Pegaso University, Naples, 80132, Italy.
Behavioral Imaging and Neural Dynamics (BIND) Center, University "Gabriele d'Annunzio" of Chieti-Pescara, Chieti, 66100, Italy.
Soc Cogn Affect Neurosci. 2025 Jan 18;20(1). doi: 10.1093/scan/nsaf050.
Using EEG-hyperscanning, neuroscientists showed that non-verbal joint actions are associated with different patterns of interpersonal neural coupling (INC), influenced by factors such as the type of joint action investigated, the experimental task used, and the analytical approach employed. The present systematic scoping review aims to identify the categories of non-verbal joint actions investigated so far, the experimental tasks and INC measures used, and the related main findings to provide a comprehensive overview of the field. Thirty-nine articles were included in this review. Most studies investigated cooperative and simultaneous joint actions performed with either similar or complementary actions, whereas competitive and turn-based joint actions are under-investigated. Tasks involve interactions mainly based on movement, music, or computer, with movement-based tasks being most relevant to social neuroscience. Several INC approaches were used, with graph theory and phase synchrony being the commonly used. The main findings are organized and discussed according to the analytical approaches used and, for each approach, into groups of joint action categories and tasks. By providing a structured classification of joint action types and highlighting the relationship between tasks and INC methods, this review offers a reference for designing future studies and refining methodological approaches in EEG-hyperscanning research on social interaction.
神经科学家通过使用脑电图超扫描技术发现，非言语联合行动与不同模式的人际神经耦合（INC）相关，这受到多种因素的影响，如所研究的联合行动类型、所使用的实验任务以及所采用的分析方法。本系统综述旨在确定迄今为止所研究的非言语联合行动类别、所使用的实验任务和INC测量方法，以及相关的主要研究结果，以全面概述该领域。本综述纳入了39篇文章。大多数研究调查了通过相似或互补行动进行的合作性和同步性联合行动，而竞争性和轮流性联合行动的研究较少。任务主要涉及基于运动、音乐或计算机的互动，其中基于运动的任务与社会神经科学最为相关。研究使用了多种INC方法，其中图论和相位同步是常用的方法。主要研究结果根据所使用的分析方法进行组织和讨论，并且针对每种方法，按照联合行动类别和任务组进行分类。通过提供联合行动类型的结构化分类，并突出任务与INC方法之间的关系，本综述为设计未来研究以及完善脑电图超扫描技术在社会互动研究中的方法提供了参考。
