Literature DB >> 35296548

The Neural Bases of Action-Outcome Learning in Humans.

Richard W Morris1, Amir Dezfouli2, Kristi R Griffiths3, Mike E Le Pelley4, Bernard W Balleine5.   

Abstract

From an associative perspective the acquisition of new goal-directed actions requires the encoding of specific action-outcome (AO) associations and, therefore, sensitivity to the validity of an action as a predictor of a specific outcome relative to other events. Although competitive architectures have been proposed within associative learning theory to achieve this kind of identity-based selection, whether and how these architectures are implemented by the brain is still a matter of conjecture. To investigate this issue, we trained human participants to encode various AO associations while undergoing functional neuroimaging (fMRI). We then degraded one AO contingency by increasing the probability of the outcome in the absence of its associated action while keeping other AO contingencies intact. We found that this treatment selectively reduced performance of the degraded action. Furthermore, when a signal predicted the unpaired outcome, performance of the action was restored, suggesting that the degradation effect reflects competition between the action and the context for prediction of the specific outcome. We used a Kalman filter to model the contribution of different causal variables to AO learning and found that activity in the medial prefrontal cortex (mPFC) and the dorsal anterior cingulate cortex (dACC) tracked changes in the association of the action and context, respectively, with regard to the specific outcome. Furthermore, we found the mPFC participated in a network with the striatum and posterior parietal cortex to segregate the influence of the various competing predictors to establish specific AO associations.SIGNIFICANCE STATEMENT Humans and other animals learn the consequences of their actions, allowing them to control their environment in a goal-directed manner. Nevertheless, it is unknown how we parse environmental causes from the effects of our own actions to establish these specific action-outcome (AO) relationships. Here, we show that the brain learns the causal structure of the environment by segregating the unique influence of actions from other causes in the medial prefrontal and anterior cingulate cortices and, through a network of structures, including the caudate nucleus and posterior parietal cortex, establishes the distinct causal relationships from which specific AO associations are formed.
Copyright © 2022 the authors.

Entities:  

Keywords:  Kalman filter; caudate nucleus; goal-directed action; medial prefrontal cortex; posterior parietal cortex; prediction error

Mesh:

Year:  2022        PMID: 35296548      PMCID: PMC9053851          DOI: 10.1523/JNEUROSCI.1079-21.2022

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.709


  45 in total

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6.  Neural correlates of instrumental contingency learning: differential effects of action-reward conjunction and disjunction.

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8.  Medial prefrontal cortex as an action-outcome predictor.

Authors:  William H Alexander; Joshua W Brown
Journal:  Nat Neurosci       Date:  2011-09-18       Impact factor: 24.884

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  2 in total

1.  Elevated prefrontal dopamine interferes with the stress-buffering properties of behavioral control in female rats.

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Journal:  Neuropsychopharmacology       Date:  2022-09-08       Impact factor: 8.294

2.  Topographic organization of the human caudate functional connectivity and age-related changes with resting-state fMRI.

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Journal:  Front Syst Neurosci       Date:  2022-09-23
  2 in total

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