Ohayon Shay, Gordon Ilanit
Department of Psychology, Bar-Ilan University, Ramat Gan, Israel.
Department of Psychology, Bar-Ilan University, Ramat Gan, Israel; Gonda Multidisciplinary Brain Research Center, Bar-Ilan University, Ramat Gan, Israel; Yale Child Study Center, Yale School of Medicine, Yale University, CT, USA.
Behav Brain Res. 2025 Mar 5;480:115369. doi: 10.1016/j.bbr.2024.115369. Epub 2024 Dec 7.
This systematic review and meta-analysis examined the interplay among neural, physiological, and behavioral interpersonal synchrony. We included studies written in English, comprising human dyads, and reporting data that could be translated to correlation estimates between at least two modalities of synchrony, sourced from PsycINFO, PubMed, and Google Scholar. The initial meta-analysis, examining associations between neural and behavioral synchrony, assessed 37 samples with 1342 participants, revealed a significant medium effect size (r = 0.32, 95 %CI: [0.23, 0.41]) with higher correlations in studies measured frontocentral regions and used the same epoch size for synchrony calculations. The analysis on associations between physiological and behavioral synchrony included 13 samples (369 participants) and identified small effect size (r = 0.18, 95 %CI: [0.06, 0.30]). Due to the limited sample size of three studies involving 150 participants, we conducted a systematic review rather than a meta-analysis to examine the relationship between neural and physiological synchrony. This review revealed inconsistent results, underscoring the need for further research. Future inquiries address greater multimodal integration in certain brain regions and measures, such as frontal and central regions. A theoretical framework that will explain multimodal integration of synchrony will allow us to ascertain if it is a unique aspect of social experiences, or simply a description of synchrony across levels of organization.
本系统评价和荟萃分析研究了神经、生理和行为人际同步之间的相互作用。我们纳入了用英文撰写的研究，包括人类二元组，并报告了可转化为至少两种同步模式之间相关性估计的数据，这些数据来源于PsycINFO、PubMed和谷歌学术。最初的荟萃分析考察了神经同步与行为同步之间的关联，评估了37个样本中的1342名参与者，结果显示存在显著的中等效应量（r = 0.32，95%CI：[0.23, 0.41]），在测量额中央区域的研究中相关性更高，且同步计算使用相同的时间窗大小。生理同步与行为同步之间关联的分析包括13个样本（369名参与者），并确定效应量较小（r = 0.18，95%CI：[0.06, 0.30]）。由于涉及150名参与者的三项研究样本量有限，我们进行了系统评价而非荟萃分析来考察神经同步与生理同步之间的关系。该评价结果不一致，凸显了进一步研究的必要性。未来的研究将关注某些脑区和测量方法（如额叶和中央区域）中更大程度的多模态整合。一个能够解释同步多模态整合的理论框架将使我们能够确定它是社会体验的独特方面，还是仅仅是对不同组织层面同步的一种描述。
