Evidence map›Paper›PMID 33152266›Full record

ArticleNeuron2021

The Anterior Cingulate Cortex Predicts Future States to Mediate Model-Based Action Selection.

Thomas Akam, Ines Rodrigues-Vaz, Ivo Marcelo, Xiangyu Zhang, Michael Pereira, Rodrigo Freire Oliveira, Peter Dayan, Rui M Costa

Abstract read
In one paragraph

Article in Neuron, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

78 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. Meta-learning is expressed through altered prefrontal cortical dynamics.bioRxiv : the preprint server for biology · 2026
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  18. Neuronal Features of Visual Attention in the Mouse Superior Colliculus Depend on Learned Behavioral Relevance.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
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18 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Thomas AkamChampalimaud Neuroscience Program, Champalimaud Centre for the Unknown, Lisbon, Portugal; Department of Experimental Psychology, Oxford University, Oxford, UK. Electronic address: thomas.akam@psy.ox.ac.uk.
Ines Rodrigues-VazChampalimaud Neuroscience Program, Champalimaud Centre for the Unknown, Lisbon, Portugal; Department of Neuroscience and Neurology, Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA.
Ivo MarceloChampalimaud Neuroscience Program, Champalimaud Centre for the Unknown, Lisbon, Portugal; Department of Psychiatry, Erasmus MC University Medical Center, 3015 GD Rotterdam, the Netherlands.
Xiangyu ZhangRIKEN-MIT Center for Neural Circuit Genetics at the Picower Institute for Learning and Memory, Department of Biology and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
Michael PereiraChampalimaud Neuroscience Program, Champalimaud Centre for the Unknown, Lisbon, Portugal.
Rodrigo Freire OliveiraChampalimaud Neuroscience Program, Champalimaud Centre for the Unknown, Lisbon, Portugal.
Peter DayanGatsby Computational Neuroscience Unit, University College London, London, UK; Max Planck Institute for Biological Cybernetics, Tübingen, Germany; University of Tübingen, Tübingen, Germany.
Rui M CostaChampalimaud Neuroscience Program, Champalimaud Centre for the Unknown, Lisbon, Portugal; Department of Neuroscience and Neurology, Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA.

Funding

Modeling multi-area dynamics during motor controlU19NS104649 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI COSTA, RUI M. · 2017 to 2021
$15.3M
NINDS NIH HHS U19 NS104649Wellcome TrustWellcome Trust WT096193AIA
6 · The paper itself

Abstract

Behavioral control is not unitary. It comprises parallel systems, model based and model free, that respectively generate flexible and habitual behaviors. Model-based decisions use predictions of the specific consequences of actions, but how these are implemented in the brain is poorly understood. We used calcium imaging and optogenetics in a sequential decision task for mice to show that the anterior cingulate cortex (ACC) predicts the state that actions will lead to, not simply whether they are good or bad, and monitors whether outcomes match these predictions. ACC represents the complete state space of the task, with reward signals that depend strongly on the state where reward is obtained but minimally on the preceding choice. Accordingly, ACC is necessary only for updating model-based strategies, not for basic reward-driven action reinforcement. These results reveal that ACC is a critical node in model-based control, with a specific role in predicting future states given chosen actions.

Indexed as

RewardAnimalsChoice BehaviorForecastingGyrus CinguliMaleMiceMice, Inbred C57BLReversal Learninganterior cingulate cortex (ACC)behaviorcalcium imagingdecision makingmodel-basedoptogeneticsreinforcement learning

Identifiers

PMID33152266
PMCPMC7837117

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.