Department of Psychology and
Princeton Neuroscience Institute, Princeton University, Princeton, New Jersey 08540.
J Neurosci. 2019 Jan 2;39(1):140-148. doi: 10.1523/JNEUROSCI.1431-18.2018. Epub 2018 Nov 2.
Social life requires people to predict the future: people must anticipate others' thoughts, feelings, and actions to interact with them successfully. The theory of predictive coding suggests that the social brain may meet this need by automatically predicting others' social futures. If so, when representing others' current mental state, the brain should already start representing their future states. To test this hypothesis, we used fMRI to measure female and male human participants' neural representations of mental states. Representational similarity analysis revealed that neural patterns associated with mental states currently under consideration resembled patterns of likely future states more so than patterns of unlikely future states. This effect manifested in activity across the social brain network and in medial prefrontal cortex in particular. Repetition suppression analysis also supported the social predictive coding hypothesis: considering mental states presented in predictable sequences reduced activity in the precuneus relative to unpredictable sequences. In addition to demonstrating that the brain makes automatic predictions of others' social futures, the results also demonstrate that the brain leverages a 3D representational space to make these predictions. Proximity between mental states on the psychological dimensions of rationality, social impact, and valence explained much of the association between state-specific neural pattern similarity and state transition likelihood. Together, these findings suggest that the way the brain represents the social present gives people an automatic glimpse of the social future. When you see a ball in flight, your brain calculates, not just its static visual features such as size and shape, but also predicts its future trajectory. Here, we investigated whether the same might hold true in the social world: when we see someone flying into a rage, does our brain automatically predict their social trajectory? In this study, we scanned participants' brain activity while they judged others' mental states. We found that neural activity associated with a given state resembled activity associated with likely future states. Additionally, unpredictable sequences of states evoked more brain activity than predictable sequences, consistent with monitoring for, and updating from, prediction errors. These results suggest that the social brain automatically predicts others' future mental states.
人们必须预测他人的想法、感受和行为,才能与他们成功互动。预测编码理论表明,社交大脑可能通过自动预测他人的社交未来来满足这种需求。如果是这样,当代表他人当前的心理状态时,大脑应该已经开始代表他们的未来状态。为了检验这一假设,我们使用 fMRI 测量了女性和男性人类参与者对心理状态的神经表现。代表性相似性分析显示,当前正在考虑的心理状态相关的神经模式与可能的未来状态模式更相似,而与不太可能的未来状态模式不那么相似。这种效应表现在整个社交大脑网络中的活动,特别是在中前额叶皮层中。重复抑制分析也支持社交预测编码假说:考虑呈现的心理状态呈现出可预测的序列,与不可预测的序列相比,活动减少了后扣带皮层的活动。除了证明大脑对他人的社会未来进行自动预测外,结果还表明大脑利用 3D 表示空间来进行这些预测。在理性、社会影响和效价的心理维度上,心理状态之间的接近程度解释了状态特定神经模式相似性与状态转换可能性之间的大部分关联。总之,这些发现表明,大脑表示社会现状的方式让人们自动看到社会的未来。当你看到一个球在空中飞行时,你的大脑不仅计算出它的静态视觉特征,如大小和形状,还预测它的未来轨迹。在这里,我们探讨了在社会世界中是否也存在同样的情况:当我们看到有人勃然大怒时,我们的大脑是否会自动预测他们的社会轨迹?在这项研究中,我们在参与者判断他人心理状态时扫描了他们的大脑活动。我们发现,与给定状态相关的神经活动与可能的未来状态相关的活动相似。此外,不可预测的状态序列比可预测的状态序列引起更多的大脑活动,这与从预测误差中进行监测和更新一致。这些结果表明,社交大脑会自动预测他人的未来心理状态。