Abstract

Acute stress is pervasive in everyday modern life and is thought to affect how people make choices and learn from them. Reinforcement learning, which implicates learning from the unexpected rewarding and punishing outcomes of our choices (i.e., prediction errors), is critical for adjusted behaviour and seems to be affected by acute stress. However, the neural mechanisms by which acute stress disrupts this type of learning are still poorly understood. Here, we investigate whether and how acute stress blunts neural signalling of prediction errors during reinforcement learning using model-based functional magnetic resonance imaging. Male participants completed a well-established reinforcement-learning task involving monetary gains and losses whilst under stress and control conditions. Acute stress impaired participants’ (n = 23) behavioural performance towards obtaining monetary gains (p < 0.001), but not towards avoiding losses (p = 0.57). Importantly, acute stress blunted signalling of prediction errors during gain and loss trials in the dorsal striatum (p = 0.040) — with subsidiary analyses suggesting that acute stress preferentially blunted signalling of positive prediction errors. Our results thus reveal a neurocomputational mechanism by which acute stress may impair reward learning.

Highlights

  • Acute stress is ubiquitous in our day-to-day life

  • Task performance To assess whether acute stress blunted reward learning, we examined the impact of acute stress on choice performance during the reinforcement-learning task (Fig. 2c)

  • We found that the BOLD response in the dorsal striatum scaled parametrically with the magnitude of prediction errors during reward and punishment learning, both under acute stress and control conditions

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Summary

Introduction

Acute stress is ubiquitous in our day-to-day life. Acute stress has major implications for well-being and mental health and, as a conse­ quence, a high societal impact. Acute stress is thought to have a deleterious impact on the ability to learn from the outcomes of our choices and to make choices that lead to the most rewarding and least punishing outcomes, which is crucial for adaptive behaviour (Porcelli and Delgado, 2017). Surprisingly little is known about the neural mechanisms that underlie the impairing effects of acute stress on reinforcement learning. We use behavioural and model-based functional magnetic resonance imaging (fMRI) (O’Doherty et al, 2007) data to investigate the impact of acute stress on rein­ forcement learning and the underlying neurocomputational mechanisms

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