Astolfi Laura, Toppi Jlenia, Casper Chantal, Freitag Christine, Mattia Donatella, Babiloni Fabio, Ciaramidaro Angela, Siniatchkin Michael
Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:5384-7. doi: 10.1109/EMBC.2015.7319608.
The recently developed technique of hyperscanning consists of the simultaneous recording of brain activity from multiple subjects involved in social interaction. The multivariate analysis of data coming from different subjects allows to model a system made of multiple brains interacting, and to characterize it in relation with different processes at the basis of social cognition. In this study, we investigate the empathy established between two subjects during a Third Party Punishment paradigm, in terms of the properties of the multiple-brain network obtained from EEG hyperscanning. Preliminary results show that significantly different multiple-brain network structures characterize a social situation operated by a human agent with respect to a computer based condition, and that the different levels of empathy induced by a fair or unfair treatment received by one of the subjects are characterized by denser inter-subjects connectivity and lower divisibility in the two single brain networks.
最近开发的超扫描技术包括同时记录参与社交互动的多个受试者的大脑活动。对来自不同受试者的数据进行多变量分析，能够对由多个相互作用的大脑组成的系统进行建模，并根据社会认知的不同过程对其进行表征。在本研究中，我们根据从脑电图超扫描获得的多脑网络特性，研究了在第三方惩罚范式中两个受试者之间建立的同理心。初步结果表明，与基于计算机的条件相比，由人类代理操作的社会情境具有显著不同的多脑网络结构，并且其中一个受试者受到公平或不公平待遇所引发的不同程度的同理心，其特征在于两个单脑网络中受试者之间的连接更密集且可分性更低。
