FitzGerald, Thomas H B ORCID: https://orcid.org/0000-0002-3855-1591, Friston, Karl J and Dolan, Raymond J
(2012)
Action-specific value signals in reward-related regions of the human brain.
The Journal of Neuroscience, 32 (46).
16417-23a.
ISSN 0270-6474
Abstract
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.
Item Type: | Article |
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Uncontrolled Keywords: | adaptation, psychological,adult,algorithms,bayes theorem,behavior,brain,cues,feedback, psychological,female,humans,image processing, computer-assisted,learning,magnetic resonance imaging,male,multivariate analysis,neostriatum,prefrontal cortex,psychomotor performance,reward,young adult |
Faculty \ School: | Faculty of Social Sciences > School of Psychology |
Depositing User: | Pure Connector |
Date Deposited: | 14 Apr 2016 08:34 |
Last Modified: | 22 Oct 2022 01:01 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/58227 |
DOI: | 10.1523/JNEUROSCI.3254-12.2012 |
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