Evidence map›Paper›PMID 30535618›Full record

ArticleMetabolic brain disease2019

Neurons in rat orbitofrontal cortex and medial prefrontal cortex exhibit distinct responses in reward and strategy-update in a risk-based decision-making task.

Dan-Dan Hong, Wen-Qiang Huang, Ai-Ai Ji, Sha-Sha Yang, Hui Xu, Ke-Yi Sun, Aihua Cao, Wen-Jun Gao, Ning Zhou, Ping Yu

Abstract read
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In one paragraph

Article in Metabolic brain disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

  1. Article
  2. Article
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  5. Article
  6. Review
  7. Review
  8. Prefrontal Cortex Representation of Learning of Punishment Probability During Reward-Motivated Actions.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
    Article
  9. Article
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

10 authors.

Dan-Dan HongBeijing Key Laboratory of Learning and Cognition, College of Psychology, Capital Normal University, Beijing, 100037, China.
Wen-Qiang HuangBeijing Key Laboratory of Learning and Cognition, College of Psychology, Capital Normal University, Beijing, 100037, China.
Ai-Ai JiBeijing Key Laboratory of Learning and Cognition, College of Psychology, Capital Normal University, Beijing, 100037, China.
Sha-Sha YangBeijing Key Laboratory of Learning and Cognition, College of Psychology, Capital Normal University, Beijing, 100037, China.
Hui XuInterdepartmental Program in Neuroscience, University of Utah, Salt Lake City, UT, USA.
Ke-Yi SunBeijing Key Laboratory of Learning and Cognition, College of Psychology, Capital Normal University, Beijing, 100037, China.
Aihua CaoDepartment of Pediatrics, Shandong University Qilu Hospital, Jinan, China.
Wen-Jun GaoDepartment of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA, 19129, USA.
Ning ZhouThe General Hospital of Chinese People's Liberation Army, Beijing, 100853, China. ningzhounz@126.com.
Ping YuBeijing Key Laboratory of Learning and Cognition, College of Psychology, Capital Normal University, Beijing, 100037, China. pingyu@cnu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The orbitofrontal cortex (OFC) and the medial prefrontal cortex (mPFC) are known to participate in risk-based decision-making. However, whether neuronal activities of these two brain regions play similar or differential roles during different stages of risk-based decision-making process remains unknown. Here we conducted multi-channel in vivo recordings in the OFC and mPFC simultaneously when rats were performing a gambling task. Rats were trained to update strategy as the task was shifted in two stages. Behavioral testing suggests that rats exhibited different risk preferences and response latencies to food rewards during stage-1 and stage-2. Indeed, the firing patterns and numbers of non-specific neurons and nosepoking-predicting neurons were similar in OFC and mPFC. However, there were no reward-expecting neurons and significantly more reward-excitatory neurons (fired as rats received rewards) in the mPFC. Further analyses suggested that nosepoking-predicting neurons may encode the overall value of reward and strategy, whereas reward-expecting neurons show more intensive firing to a big food reward in the OFC. Nosepoking-predicting neurons in mPFC showed no correlation with decision-making strategy updating, whereas the response of reward-excitatory neurons in mPFC, which were barely observed in OFC, were inhibited during nosepoking, but were enhanced in the post-nosepoking period. These findings indicate that neurons in the OFC and mPFC exhibit distinct responses in decision-making process during reward consumption and strategy updating. Specifically, OFC encodes the overall value of a choice and is thus important for learning and strategy updating, whereas mPFC plays a key role in monitoring and execution of a strategy.

Indexed as

Risk AssessmentAction PotentialsAnimalsBehavior, AnimalDecision MakingLearningMaleNeuronsPrefrontal CortexRats, Sprague-DawleyReaction TimeRewardMedial prefrontal cortexMulti-channel units recordingOrbital frontal cortexRisk-based decision-making

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Registered trials

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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.