Suzuki Shinsuke, Adachi Ryo, Dunne Simon, Bossaerts Peter, O'Doherty John P
Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena, CA 91125, USA; JSPS Postdoctoral Fellow, Graduate School of Letters, Hokkaido University, Sapporo, Hokkaido 060-0810, Japan.
Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena, CA 91125, USA.
Neuron. 2015 Apr 22;86(2):591-602. doi: 10.1016/j.neuron.2015.03.019. Epub 2015 Apr 9.
Consensus building in a group is a hallmark of animal societies, yet little is known about its underlying computational and neural mechanisms. Here, we applied a computational framework to behavioral and fMRI data from human participants performing a consensus decision-making task with up to five other participants. We found that participants reached consensus decisions through integrating their own preferences with information about the majority group members' prior choices, as well as inferences about how much each option was stuck to by the other people. These distinct decision variables were separately encoded in distinct brain areas-the ventromedial prefrontal cortex, posterior superior temporal sulcus/temporoparietal junction, and intraparietal sulcus-and were integrated in the dorsal anterior cingulate cortex. Our findings provide support for a theoretical account in which collective decisions are made through integrating multiple types of inference about oneself, others, and environments, processed in distinct brain modules.
群体中达成共识是动物社会的一个标志,但对于其潜在的计算和神经机制却知之甚少。在这里,我们将一个计算框架应用于人类参与者的行为和功能磁共振成像(fMRI)数据,这些参与者与其他多达五名参与者一起执行一项共识决策任务。我们发现,参与者通过将自己的偏好与关于多数群体成员先前选择的信息以及关于其他人对每个选项的坚持程度的推断相结合,从而达成共识决策。这些不同的决策变量分别在不同的脑区进行编码——腹内侧前额叶皮层、后颞上沟/颞顶联合区和顶内沟——并在背侧前扣带回皮层进行整合。我们的研究结果为一种理论解释提供了支持,即集体决策是通过整合对自己、他人和环境的多种类型的推断而做出的,这些推断在不同的脑模块中进行处理。