Action-specific value signals in reward-related regions of the human brain
Open accessAbstract
Estimating the value of potential actions is crucial for learning and adaptive behavior. We know little about how the human brain represents action-specific value outside of motor areas. This is, in part, due to a difficulty in detecting the neural correlates of value using conventional (region of interest) functional magnetic resonance imaging (fMRI) analyses, due to a potential distributed representation of value. We address this limitation by applying a recently developed multivariate decoding method to high-resolution fMRI data in subjects performing an instrumental learning task. We found evidence for action-specific value signals in circumscribed regions, specifically ventromedial prefrontal cortex, putamen, thalamus, and insula cortex. In contrast, action-independent value signals were more widely represented across a large set of brain areas. Using multivariate Bayesian model comparison, we formally tested whether value-specific responses are spatially distributed or coherent. We found strong evidence that both action-specific and action-independent value signals are represented in a distributed fashion. Our results suggest that a surprisingly large number of classical reward-related areas contain distributed representations of action-specific values, representations that are likely to mediate between reward and adaptive behavior.
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vmPFC is likely to have a complex role in value representation, with evidence linking it to stimulus value, outcome value, and action value.
“vmPFC is likely to have a complex role in value representation and there is strong evidence linking this region to both stimulus value and outcome value, and even recent evidence linking it to action value (FitzGerald et al., 2012).”
From Goals and Habits in the Brain (2013) · cites this paper as FitzGerald et al., 2012
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- Authors
- FitzGerald, T. H. B., Friston, K. J., & Dolan, R. J.
- Affiliations
- Wellcome Centre for Human Neuroimaging (GB)
- Corresponding author
- FitzGerald, Thomas H. B.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2012-11-14
- Volume
- 32
- Issue
- 46
- Pages
- 16417-16423
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC3549268
- OpenAlex
- W2052480631
- Cited by
- 68
- References
- 55
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 2 · 2022: 2 · 2021: 6 · 2020: 5 · 2019: 2 · 2018: 6 · 2017: 7 · 2016: 1 · 2015: 12 · 2014: 15 · 2013: 8
- FWCI
- 5.74
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Max Planck Digital Library (submittedVersion, other-oa)
- MPG.PuRe (Max Planck Society) (submittedVersion, other-oa)
- UEA Digital Repository (University of East Anglia) (submittedVersion)
- Funders
- Wellcome Trust (091593, 078865/Z/05/Z, 078865, 098362, 999998, 091593/Z/10/Z, 088130)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- value representation, reward processing, ventromedial prefrontal cortex, putamen, thalamus, insula cortex, operant conditioning, multivariate decoding, Bayesian model selection, distributed neural representation, human brain
- MeSH terms
- Adaptation, Psychological, Adult, Algorithms, Bayes Theorem, Behavior, Brain, Cues, Female, Humans, Image Processing, Computer-Assisted, Learning, Magnetic Resonance Imaging, Male, Psychomotor Performance, Reward, Multivariate Analysis, Neostriatum, Prefrontal Cortex, Feedback, Psychological, Young Adult
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