Toppi Jlenia, Borghini Gianluca, Petti Manuela, He Eric J, De Giusti Vittorio, He Bin, Astolfi Laura, Babiloni Fabio
Dept. of Computer, Control, and Management Engineering, "Sapienza" University of Rome, Via Ariosto 25, I - 00185, Rome, Italy.
IRCCS Fondazione Santa Lucia, Neuroelectrical Imaging and BCI Lab, Via Ardeatina 306, I- 00179, Rome, Italy.
PLoS One. 2016 Apr 28;11(4):e0154236. doi: 10.1371/journal.pone.0154236. eCollection 2016.
The coordinated interactions between individuals are fundamental for the success of the activities in some professional categories. We reported on brain-to-brain cooperative interactions between civil pilots during a simulated flight. We demonstrated for the first time how the combination of neuroelectrical hyperscanning and intersubject connectivity could provide indicators sensitive to the humans' degree of synchronization under a highly demanding task performed in an ecological environment. Our results showed how intersubject connectivity was able to i) characterize the degree of cooperation between pilots in different phases of the flight, and ii) to highlight the role of specific brain macro areas in cooperative behavior. During the most cooperative flight phases pilots showed, in fact, dense patterns of interbrain connectivity, mainly linking frontal and parietal brain areas. On the contrary, the amount of interbrain connections went close to zero in the non-cooperative phase. The reliability of the interbrain connectivity patterns was verified by means of a baseline condition represented by formal couples, i.e. pilots paired offline for the connectivity analysis but not simultaneously recorded during the flight. Interbrain density was, in fact, significantly higher in real couples with respect to formal couples in the cooperative flight phases. All the achieved results demonstrated how the description of brain networks at the basis of cooperation could effectively benefit from a hyperscanning approach. Interbrain connectivity was, in fact, more informative in the investigation of cooperative behavior with respect to established EEG signal processing methodologies applied at a single subject level.
个体之间的协同互动对于某些专业领域活动的成功至关重要。我们报道了民航飞行员在模拟飞行过程中的脑对脑合作互动。我们首次展示了神经电超扫描与受试者间连通性的结合如何能够在生态环境中执行的高要求任务下,提供对人类同步程度敏感的指标。我们的结果表明,受试者间连通性能够:i)表征飞行不同阶段飞行员之间的合作程度;ii)突出特定脑宏观区域在合作行为中的作用。事实上,在最具合作性的飞行阶段,飞行员表现出密集的脑间连通模式,主要连接额叶和顶叶脑区。相反,在非合作阶段,脑间连接数量接近于零。通过由形式上的配对所代表的基线条件验证了脑间连通模式的可靠性,即飞行员在离线状态下配对进行连通性分析,但在飞行过程中不同时记录。实际上,在合作飞行阶段,真实配对的脑间密度相对于形式上的配对显著更高。所有取得的结果都表明,基于合作对脑网络进行描述如何能够有效地从超扫描方法中受益。事实上,相对于在单受试者水平应用的既定脑电图信号处理方法,脑间连通性在合作行为研究中提供了更多信息。