The cerebellum contributes to prediction error coding in reinforcement learning in humans

神经科学 小脑 心理学 前脑 中脑 纹状体 扣带回前部 认知 中枢神经系统 多巴胺
作者
Dana M. Huvermann,Adam M. Berlijn,Andreas Thieme,Friedrich Erdlenbruch,Stefan Jun Groiss,Andreas Deistung,Manfred Mittelstaedt,Elke Wondzinski,H. Sievers,Benedikt Frank,Sophia Göricke,Michael Gliem,Martin Köhrmann,Mario Siebler,Alfons Schnitzler,Christian Bellebaum,Martina Minnerop,Dagmar Timmann,Jutta Peterburs
出处
期刊:The Journal of Neuroscience [Society for Neuroscience]
卷期号:: e1972242025-e1972242025
标识
DOI:10.1523/jneurosci.1972-24.2025
摘要

Recent rodent data suggest that the cerebellum – a region typically associated with processing sensory prediction errors (PEs) – also processes PEs in reinforcement learning (RL-PEs; i.e., learning from action outcomes). We tested whether cerebellar output is necessary for RL-PE processing in regions more traditionally associated with action-outcome processing, such as striatum and anterior cingulate cortex. The feedback-related negativity (FRN) was measured as a proxy of cerebral RL-PE processing in a probabilistic feedback learning task using electroencephalography. Two complementary experiments were performed in humans. First, patients with chronic cerebellar stroke (20 male, 6 female) and matched healthy controls (19 male, 7 female) were tested. Second, single-pulse cerebellar transcranial magnetic stimulation (TMS) was applied in healthy participants (7 male, 17 female), thus implementing a virtual lesion approach. Consistent with previous studies, learning of action-outcome associations was intact with only minor changes in behavioural flexibility. Importantly, no significant RL-PE processing was observed in the FRN in patients with cerebellar stroke, and in participants receiving cerebellar TMS. Findings in both experiments show that RL-PE processing in the forebrain depends on cerebellar output in humans, complementing and extending previous findings in rodents. Significance statement While processing of prediction errors in reinforcement learning (RL-PEs) is usually attributed to midbrain and forebrain, recent rodent studies have recorded RL-PE signals in the cerebellum. It is not yet clear whether these cerebellar RL-PE signals contribute to RL-PE processing in the forebrain/midbrain. In the current study, we could show that forebrain RL-PE coding is blunted when the cerebellum is affected across two complementary lesion models (patients with cerebellar stroke, cerebellar TMS). Our results support direct involvement of the cerebellum in RL-PE processing. We can further show that the cerebellum is necessary for RL-PE coding in the forebrain.

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