Seger Carol A, Xie Weiye, Li Peijuan, Han Linzhu, Liu Zhiya
Center for the Study of Applied Psychology, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, School of Psychology, South China Normal University, Guangzhou, People's Republic of China.
Department of Psychology and Program in Molecular, Cellular, and Integrative Neurosciences, Colorado State University, Fort Collins, Colorado, USA.
Hum Brain Mapp. 2025 Aug 15;46(12):e70327. doi: 10.1002/hbm.70327.
How are rules used to transfer knowledge to new stimuli? We used a complex rule learning and transfer task to identify neural systems underlying rule learning, application, and transfer to novel stimuli. We used functional MRI Constrained Principal Components Analysis (fMRI-CPCA) to identify neural systems active during each phase. Two networks were associated with rule transfer. First, a rostral prefrontal network that was recruited during rule transfer with higher activity for more complex rules. This network is consistent with previous research finding that the rostral prefrontal cortex is necessary for abstract and hierarchical rule learning, relational integration, and analogical mapping in human reasoning. Second, a ventromedial prefrontal-hippocampal network that began to be recruited during rule application and increased in activity across the rule transfer phase with greater activity for more difficult rules. This pattern indicates a role in applying rules regardless of stimulus familiarity, as well as sensitivity to the difficulty of the transfer. These results are consistent with previous research establishing the role of the VMPFC-hippocampal network in forming and applying memory schemas via processes of schema reinstatement. Frontoparietal systems associated with the dorsal attention and salience networks were recruited primarily during rule learning and decreased in activity in the later stages of the task. Overall, the results indicate that rule learning and rule transfer differ qualitatively and that additional memory and executive function networks are utilized during transfer to support the cognitive demands necessary to generalize knowledge to new stimuli and integrate sources of information to make a decision.
规则是如何用于将知识迁移到新的刺激上的?我们使用了一个复杂的规则学习和迁移任务来识别规则学习、应用以及迁移到新刺激背后的神经系统。我们使用功能磁共振成像约束主成分分析(fMRI-CPCA)来识别每个阶段活跃的神经系统。两个网络与规则迁移相关。首先,一个前额叶嘴侧网络在规则迁移过程中被激活,对于更复杂的规则,其活动更强。这个网络与之前的研究结果一致,即前额叶嘴侧皮质对于人类推理中的抽象和分层规则学习、关系整合以及类比映射是必需的。其次,一个腹内侧前额叶 - 海马网络在规则应用过程中开始被激活,并在整个规则迁移阶段活动增加,对于更难的规则活动更强。这种模式表明,无论刺激的熟悉程度如何,该网络在应用规则中都发挥作用,并且对迁移的难度敏感。这些结果与之前的研究一致,该研究确定了腹内侧前额叶 - 海马网络在通过图式恢复过程形成和应用记忆图式中的作用。与背侧注意和突显网络相关的额顶叶系统主要在规则学习期间被激活,并且在任务后期活动减少。总体而言,结果表明规则学习和规则迁移在性质上有所不同,并且在迁移过程中会利用额外的记忆和执行功能网络来支持将知识推广到新刺激并整合信息来源以做出决策所需的认知需求。