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Recording Gamma Band Oscillations in Pedunculopontine Nucleus Neurons
Published on: September 14, 2016
A Causal Role for the Pedunculopontine Nucleus in Human Instrumental Learning
Vasilisa Skvortsova1, Stefano Palminteri2, Anne Buot3
1Motivation, Brain and Behavior (MBB) laboratory, Paris Brain Institute (ICM), Groupe Hospitalier Pitié-Salpêtrière, Paris 75013, France; INSERM Unit 1127, CNRS Unit 7225, Sorbonne Universités (SU), Paris 75005, France; Laboratoire de Neurosciences Cognitives et Computationnelles, Département d'Etudes Cognitives, Ecole Normale Supérieure, Paris 75005, France; INSERM Unit 960, Université de Paris Sciences et Lettres (UP), 75005 Paris, France; Max Planck UCL Center for Computational Psychiatry and Aging, London WC1B 5EH, UK.
Abstract:
A critical mechanism for maximizing reward is instrumental learning. In standard instrumental learning models, action values are updated on the basis of reward prediction errors (RPEs), defined as the discrepancy between expectations and outcomes. A wealth of evidence across species and experimental techniques has established that RPEs are signaled by midbrain dopamine neurons. However, the way dopamine neurons receive information about reward outcomes remains poorly understood. Recent animal studies suggest that the pedunculopontine nucleus (PPN), a small brainstem structure considered as a locomotor center, is sensitive to reward and sends excitatory projection to dopaminergic nuclei. Here, we examined the hypothesis that the PPN could contribute to reward learning in humans. To this aim, we leveraged a clinical protocol that assessed the therapeutic impact of PPN deep-brain stimulation (DBS) in three patients with Parkinson disease. PPN local field potentials (LFPs), recorded while patients performed an instrumental learning task, showed a specific response to reward outcomes in a low-frequency (alpha-beta) band. Moreover, PPN DBS selectively improved learning from rewards but not from punishments, a pattern that is typically observed following dopaminergic treatment. Computational analyses indicated that the effect of PPN DBS on instrumental learning was best captured by an increase in subjective reward sensitivity. Taken together, these results support a causal role for PPN-mediated reward signals in human instrumental learning.
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