ArticleFrontiers in integrative neuroscience2018
To Do or Not to Do: Dopamine, Affordability and the Economics of Opportunity.
Article in Frontiers in integrative neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 28 citations in OpenAlex.
- Dopamine and Temporal Discounting: Revisiting Pharmacology and Individual Differences.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Trial
- Changing the motivation for mental work with temporal interference stimulation.Translational psychiatry · 2026Article
- Rats pursue food and leisure following the same rational principles.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Neural reward system reflects individual value comparison strategy in cost-benefit decisions.Communications biology · 2024Article
- Article
- Toward a Unifying Account of Dopamine's Role in Cost-Benefit Decision Making.Biological psychiatry global open science · 2023Review
- Article
- Dopamine Transporter Is a Master Regulator of Dopaminergic Neural Network Connectivity.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- Neuromodulation of Foraging Decisions: The Role of Dopamine.Frontiers in behavioral neuroscience · 2021Article
- Prevalence and predictors of fatigue after aneurysmal subarachnoid hemorrhage.Acta neurochirurgica · 2020Article
- Motor Control: Memory and Motor Control in the Dorsal Striatum.Current biology : CB · 2020Article
- Article
- Comparing Effects of Reward Anticipation on Working Memory in Younger and Older Adults.Frontiers in psychology · 2018Article
- Review
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Five years ago, we introduced the thrift hypothesis of dopamine (DA), suggesting that the primary role of DA in adaptive behavior is regulating behavioral energy expenditure to match the prevailing economic conditions of the environment. Here we elaborate that hypothesis with several new ideas. First, we introduce the concept of affordability, suggesting that costs must necessarily be evaluated with respect to the availability of resources to the organism, which computes a value not only for the potential reward opportunity, but also the value of resources expended. Placing both costs and benefits within the context of the larger economy in which the animal is functioning requires consideration of the different timescales against which to compute resource availability, or average reward rate. Appropriate windows of computation for tracking resources requires corresponding neural substrates that operate on these different timescales. In discussing temporal patterns of DA signaling, we focus on a neglected form of DA plasticity and adaptation, changes in the physical substrate of the DA system itself, such as up- and down-regulation of receptors or release probability. We argue that changes in the DA substrate itself fundamentally alter its computational function, which we propose mediates adaptations to longer temporal horizons and economic conditions. In developing our hypothesis, we focus on DA D2 receptors (D2R), arguing that D2R implements a form of "cost control" in response to the environmental economy, serving as the "brain's comptroller". We propose that the balance between the direct and indirect pathway, regulated by relative expression of D1 and D2 DA receptors, implements affordability. Finally, as we review data, we discuss limitations in current approaches that impede fully investigating the proposed hypothesis and highlight alternative, more semi-naturalistic strategies more conducive to neuroeconomic investigations on the role of DA in adaptive behavior.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.