The Cerebellum Contributes to Prediction Error Coding in Reinforcement Learning in Humans

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.<b>Significance statement</b> 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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Publication Details

Journal
Journal of Neuroscience
Published
2025-03-26
DOI
https://doi.org/10.1523/jneurosci.1972-24.2025
Citations
10
Primary Topic
Vestibular and auditory disorders
Type
article
Field-Weighted Citation Impact
8.42

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article

The Cerebellum Contributes to Prediction Error Coding in Reinforcement Learning in Humans

Martina Minnerop, Benedikt Frank, Sophia Göricke, Adam M. Berlijn et al.
10 citations
Journal of Neuroscience
Vestibular and auditory disorders
8.42
article

The Cerebellum Contributes to Prediction Error Coding in Reinforcement Learning in Humans

Martina Minnerop, Benedikt Frank, Sophia Göricke, Adam M. Berlijn, Alfons Schnitzler, Michael Gliem, Dana M. Huvermann, Martin Köhrmann, Stefan Jun Groiss, Jutta Peterburs, Dagmar Timmann, Elke Wondzinski, Friedrich Erdlenbruch, Andreas Gustafsson Thieme, Andreas Deistung, Christian Bellebaum, Manfred Mittelstaedt, Mario Siebler, H. Sievers
article en
10 citations

Abstract

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.<b>Significance statement</b> 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.

Journal of NeuroscienceVol. 45(19)
Forschungszentrum Jülich (DE), MSH Medical School Hamburg – University of Applied Sciences and Medical University (DE), Ruhrlandklinik (DE), Düsseldorf University Hospital (DE), Essen University Hospital (DE), University Hospital in Halle (DE), Heinrich Heine University Düsseldorf (DE), University of Duisburg-Essen (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 2%
Vestibular and auditory disorders
8.42
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