NEILab, Scientific Institute for Research Hospitalization and Health Care IRCCS Fondazione Santa Lucia, Rome, Italy.
PLoS One. 2010 Dec 1;5(12):e14187. doi: 10.1371/journal.pone.0014187.
Understanding the neural mechanisms responsible for human social interactions is difficult, since the brain activities of two or more individuals have to be examined simultaneously and correlated with the observed social patterns. We introduce the concept of hyper-brain network, a connectivity pattern representing at once the information flow among the cortical regions of a single brain as well as the relations among the areas of two distinct brains. Graph analysis of hyper-brain networks constructed from the EEG scanning of 26 couples of individuals playing the Iterated Prisoner's Dilemma reveals the possibility to predict non-cooperative interactions during the decision-making phase. The hyper-brain networks of two-defector couples have significantly less inter-brain links and overall higher modularity--i.e., the tendency to form two separate subgraphs--than couples playing cooperative or tit-for-tat strategies. The decision to defect can be "read" in advance by evaluating the changes of connectivity pattern in the hyper-brain network.
理解人类社交互动的神经机制是困难的，因为必须同时检查两个人或更多人的大脑活动，并将其与观察到的社交模式相关联。我们引入了超脑网络的概念，这是一种连接模式，它可以同时表示单个大脑皮质区域之间的信息流，以及两个不同大脑区域之间的关系。对 26 对个体在玩重复囚徒困境时的 EEG 扫描构建的超脑网络进行图分析，揭示了在决策阶段预测非合作互动的可能性。两个背叛者的超脑网络的脑间连接明显较少，整体模块化程度更高——即形成两个独立子图的趋势——比玩合作或针锋相对策略的夫妇的超脑网络更高。通过评估超脑网络中连接模式的变化，可以提前“读取”背叛的决定。
