Department of Psychology, Research Unit Biological Psychology, Ludwig-Maximilians-Universität München, Munich, Germany.
Independent Max Planck Research Group for Social Neuroscience, Max Planck Institute of Psychiatry, Munich, Germany.
Eur J Neurosci. 2023 Feb;57(4):657-679. doi: 10.1111/ejn.15903. Epub 2023 Jan 6.
Predicting actions from non-verbal cues and using them to optimise one's response behaviour (i.e. interpersonal predictive coding) is essential in everyday social interactions. We aimed to investigate the neural correlates of different cognitive processes evolving over time during interpersonal predictive coding. Thirty-nine participants watched two agents depicted by moving point-light stimuli while an electroencephalogram (EEG) was recorded. One well-recognizable agent performed either a 'communicative' or an 'individual' action. The second agent either was blended into a cluster of noise dots (i.e. present) or was entirely replaced by noise dots (i.e. absent), which participants had to differentiate. EEG amplitude and coherence analyses for theta, alpha and beta frequency bands revealed a dynamic pattern unfolding over time: Watching communicative actions was associated with enhanced coupling within medial anterior regions involved in social and mentalising processes and with dorsolateral prefrontal activation indicating a higher deployment of cognitive resources. Trying to detect the agent in the cluster of noise dots without having seen communicative cues was related to enhanced coupling in posterior regions for social perception and visual processing. Observing an expected outcome was modulated by motor system activation. Finally, when the agent was detected correctly, activation in posterior areas for visual processing of socially relevant features was increased. Taken together, our results demonstrate that it is crucial to consider the temporal dynamics of social interactions and of their neural correlates to better understand interpersonal predictive coding. This could lead to optimised treatment approaches for individuals with problems in social interactions.
从非言语线索中预测动作,并利用这些线索来优化个体的反应行为(即人际预测编码),这在日常社交互动中至关重要。我们旨在研究在人际预测编码过程中,随着时间的推移而不断发展的不同认知过程的神经相关性。39 名参与者观看了两个由移动点光源刺激描绘的代理,同时记录了脑电图(EEG)。一个很容易识别的代理执行“交际”或“个人”动作。第二个代理要么融入噪声点簇(即存在),要么完全被噪声点取代(即不存在),参与者必须区分。theta、alpha 和 beta 频带的 EEG 幅度和相干性分析揭示了一个随时间动态展开的模式:观看交际动作与参与社会和心理过程的内侧前区域内的耦合增强有关,与背外侧前额叶的激活有关,表明认知资源的更高部署。试图在没有看到交际线索的情况下在噪声点簇中检测代理与社会知觉和视觉处理的后区域的耦合增强有关。观察预期的结果受到运动系统激活的调节。最后,当代理被正确检测到时,与社会相关特征的视觉处理相关的后区域的激活增加。总之,我们的研究结果表明,考虑社交互动及其神经相关性的时间动态对于更好地理解人际预测编码至关重要。这可能会为社交互动有问题的个体带来优化的治疗方法。