Wang Jiaxin, Meng Fangang, Xu Cuiping, Zhang Yanyang, Liang Kun, Han Chunlei, Gao Yuan, Yu Xinguang, Li Zizhou, Zeng Xiaoyu, Ni Jun, Tan Huixin, Yang Jiaxin, Ma Yina
State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
Nat Neurosci. 2025 Jan;28(1):161-173. doi: 10.1038/s41593-024-01824-y. Epub 2024 Dec 13.
Cooperative interactions profoundly shape individual and collective behaviors of social animals. Successful cooperation requires coordinated efforts by cooperators toward collective goals. However, the underlying behavioral dynamics and neuronal mechanisms within and between cooperating brains remain largely unknown. We recorded intracranial electrophysiological signals from human pairs engaged in a cooperation game. We show that teammate coordination and goal pursuit make distinct contributions to the behavioral cooperation dynamics. Increases and decreases in high-gamma activity in the temporoparietal junction (TPJ) and amygdala distinguish between establishing and maintaining cooperation and forecast transitions between these two states. High-gamma activity from distinct neuronal populations encodes teammate coordination and goal pursuit motives, with populations of TPJ neurons preferentially tracking dominant motives of different cooperation states. Across cooperating brains, high-gamma activity in the TPJ and amygdala synchronizes in a state-dependent manner that predicts how well cooperators coordinate. These findings provide fine-grained understandings of human cooperation dynamics as a state-dependent process with distinctive neurocognitive profiles of each state.
合作互动深刻地塑造了群居动物的个体和集体行为。成功的合作需要合作者为实现集体目标而协同努力。然而,合作大脑内部以及之间潜在的行为动态和神经机制在很大程度上仍不为人所知。我们记录了参与合作游戏的人类对的颅内电生理信号。我们表明,队友协调和目标追求对行为合作动态有不同的贡献。颞顶联合区(TPJ)和杏仁核中高伽马活动的增加和减少区分了合作的建立和维持,并预测了这两种状态之间的转变。来自不同神经元群体的高伽马活动编码了队友协调和目标追求动机,TPJ神经元群体优先追踪不同合作状态的主导动机。在合作大脑之间,TPJ和杏仁核中的高伽马活动以一种状态依赖的方式同步,这种方式预测了合作者协调的程度。这些发现为人类合作动态提供了细致入微的理解,即它是一个状态依赖的过程,每个状态都有独特的神经认知特征。