Evidence map›Paper›PMID 35822700›Full record

ArticleeLife2022

Intracerebral mechanisms explaining the impact of incidental feedback on mood state and risky choice.

Romane Cecchi, Fabien Vinckier, Jiri Hammer, Petr Marusic, Anca Nica, Sylvain Rheims, Agnès Trebuchon, Emmanuel J Barbeau, Marie Denuelle, Louis Maillard and 4 more

Abstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
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  9. Review
  10. Decoding and modifying dynamic attentional bias in gaming disorder.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  11. Article
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  16. Invasive Computational Psychiatry.Biological psychiatry · 2023
    Review
  17. 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

14 authors.

Romane CecchiGrenoble Institut Neurosciences, University Grenoble Alpes, Grenoble, France.ORCID 0000-0002-6149-939X
Fabien VinckierMotivation, Brain and Behavior (MBB) Team, Paris Brain Institute, Pitié-Salpêtrière Hospital, Paris, France.
Jiri HammerUniversité de Paris, Paris, France.
Petr MarusicUniversité de Paris, Paris, France.
Anca NicaDepartment of Psychiatry, Service Hospitalo-Universitaire, GHU Paris Psychiatrie & Neurosciences, Paris, France.
Sylvain RheimsNeurology Department, 2nd Faculty of Medicine, Charles University, Motol University Hospital, Prague, Czech Republic.
Agnès TrebuchonNeurology Department, University Hospital of Rennes, Rennes, France.ORCID 0000-0002-8632-3454
Emmanuel J BarbeauFunctional Neurology and Epileptology Department, Hospices Civils de Lyon and Université de Lyon, Lyon, France.ORCID 0000-0003-0836-3538
Marie DenuelleCentre de recherche Cerveau et Cognition, Toulouse, France.
Louis MaillardNeurology Department, University Hospital of Nancy, Nancy, France.
Lorella MinottiNeurology Department, University Hospital of Grenoble, Grenoble, France.
Philippe KahaneNeurology Department, University Hospital of Grenoble, Grenoble, France.
Mathias PessiglioneNeurology Department, University Hospital of Nancy, Nancy, France.
Julien BastinGrenoble Institut Neurosciences, University Grenoble Alpes, Grenoble, France.ORCID 0000-0002-0533-7564

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying factors whose fluctuations are associated with choice inconsistency is a major issue for rational decision theory. Here, we investigated the neuro-computational mechanisms through which mood fluctuations may bias human choice behavior. Intracerebral EEG data were collected in a large group of subjects (n=30) while they were performing interleaved quiz and choice tasks that were designed to examine how a series of unrelated feedbacks affect decisions between safe and risky options. Neural baseline activity preceding choice onset was confronted first to mood level, estimated by a computational model integrating the feedbacks received in the quiz task, and then to the weighting of option attributes, in a computational model predicting risk attitude in the choice task. Results showed that (1) elevated broadband gamma activity (BGA) in the ventromedial prefrontal cortex (vmPFC) and dorsal anterior insula (daIns) was respectively signaling periods of high and low mood, (2) increased vmPFC and daIns BGA respectively promoted and tempered risk taking by overweighting gain vs. loss prospects. Thus, incidental feedbacks induce brain states that correspond to different moods and bias the evaluation of risky options. More generally, these findings might explain why people experiencing positive (or negative) outcome in some part of their life tend to expect success (or failure) in any other.

Indexed as

Decision MakingMagnetic Resonance ImagingBrainBrain MappingChoice BehaviorFeedbackHumansPrefrontal CortexRisk-Takingchoicecomputational biologyhumaniEEGmoodneurosciencesystems biology

Identifiers

PMID35822700
PMCPMC9348847

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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.