Literature DB >> 28539420

A Selective Role for Dopamine in Learning to Maximize Reward But Not to Minimize Effort: Evidence from Patients with Parkinson's Disease.

Vasilisa Skvortsova1,2,3, Bertrand Degos4, Marie-Laure Welter2,3,4, Marie Vidailhet4, Mathias Pessiglione5,2,3.   

Abstract

Instrumental learning is a fundamental process through which agents optimize their choices, taking into account various dimensions of available options such as the possible reward or punishment outcomes and the costs associated with potential actions. Although the implication of dopamine in learning from choice outcomes is well established, less is known about its role in learning the action costs such as effort. Here, we tested the ability of patients with Parkinson's disease (PD) to maximize monetary rewards and minimize physical efforts in a probabilistic instrumental learning task. The implication of dopamine was assessed by comparing performance ON and OFF prodopaminergic medication. In a first sample of PD patients (n = 15), we observed that reward learning, but not effort learning, was selectively impaired in the absence of treatment, with a significant interaction between learning condition (reward vs effort) and medication status (OFF vs ON). These results were replicated in a second, independent sample of PD patients (n = 20) using a simplified version of the task. According to Bayesian model selection, the best account for medication effects in both studies was a specific amplification of reward magnitude in a Q-learning algorithm. These results suggest that learning to avoid physical effort is independent from dopaminergic circuits and strengthen the general idea that dopaminergic signaling amplifies the effects of reward expectation or obtainment on instrumental behavior.SIGNIFICANCE STATEMENT Theoretically, maximizing reward and minimizing effort could involve the same computations and therefore rely on the same brain circuits. Here, we tested whether dopamine, a key component of reward-related circuitry, is also implicated in effort learning. We found that patients suffering from dopamine depletion due to Parkinson's disease were selectively impaired in reward learning, but not effort learning. Moreover, anti-parkinsonian medication restored the ability to maximize reward, but had no effect on effort minimization. This dissociation suggests that the brain has evolved separate, domain-specific systems for instrumental learning. These results help to disambiguate the motivational role of prodopaminergic medications: they amplify the impact of reward without affecting the integration of effort cost.
Copyright © 2017 the authors 0270-6474/17/376087-11$15.00/0.

Entities:  

Keywords:  Parkinson's disease; dopamine; effort learning; modeling; reinforcement learning; reward learning

Mesh:

Substances:

Year:  2017        PMID: 28539420      PMCID: PMC6596498          DOI: 10.1523/JNEUROSCI.2081-16.2017

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  14 in total

1.  The Subjective Value of Cognitive Effort is Encoded by a Domain-General Valuation Network.

Authors:  Andrew Westbrook; Bidhan Lamichhane; Todd Braver
Journal:  J Neurosci       Date:  2019-03-08       Impact factor: 6.167

2.  Dopamine-Dependent Loss Aversion during Effort-Based Decision-Making.

Authors:  Xiuli Chen; Sarah Voets; Ned Jenkinson; Joseph M Galea
Journal:  J Neurosci       Date:  2019-11-14       Impact factor: 6.167

3.  Effort reinforces learning.

Authors:  Huw Jarvis; Isabelle Stevenson; Amy Q Huynh; Emily Babbage; James Coxon; Trevor T-J Chong
Journal:  J Neurosci       Date:  2022-09-06       Impact factor: 6.709

4.  Effort but not Reward Sensitivity is Altered by Acute Sickness Induced by Experimental Endotoxemia in Humans.

Authors:  Amelia Draper; Rebecca M Koch; Jos Wm van der Meer; Matthew Aj Apps; Peter Pickkers; Masud Husain; Marieke E van der Schaaf
Journal:  Neuropsychopharmacology       Date:  2017-09-26       Impact factor: 7.853

5.  Neuro-computational account of how mood fluctuations arise and affect decision making.

Authors:  Fabien Vinckier; Lionel Rigoux; Delphine Oudiette; Mathias Pessiglione
Journal:  Nat Commun       Date:  2018-04-26       Impact factor: 14.919

6.  How pupil responses track value-based decision-making during and after reinforcement learning.

Authors:  Joanne C Van Slooten; Sara Jahfari; Tomas Knapen; Jan Theeuwes
Journal:  PLoS Comput Biol       Date:  2018-11-30       Impact factor: 4.475

Review 7.  What Is the Relationship between Dopamine and Effort?

Authors:  Mark E Walton; Sebastien Bouret
Journal:  Trends Neurosci       Date:  2018-10-24       Impact factor: 13.837

Review 8.  Human moral decision-making through the lens of Parkinson's disease.

Authors:  Giorgia Ponsi; Marina Scattolin; Riccardo Villa; Salvatore Maria Aglioti
Journal:  NPJ Parkinsons Dis       Date:  2021-03-02

Review 9.  A mosaic of cost-benefit control over cortico-striatal circuitry.

Authors:  Andrew Westbrook; Michael J Frank; Roshan Cools
Journal:  Trends Cogn Sci       Date:  2021-06-10       Impact factor: 24.482

10.  Pharmacological evidence for the implication of noradrenaline in effort.

Authors:  Nicolas Borderies; Pauline Bornert; Sophie Gilardeau; Sebastien Bouret
Journal:  PLoS Biol       Date:  2020-10-12       Impact factor: 8.029

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