Evidence map›Paper›PMID 38784609›Full record

ArticleFrontiers in psychology2024

To lie or to tell the truth? The influence of processing the opponent's feedback on the forthcoming choice.

Maya Zheltyakova, Alexander Korotkov, Denis Cherednichenko, Michael Didur, Maxim Kireev

Abstract read
In one paragraph

Article in Frontiers in psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Maya ZheltyakovaN.P. Bechtereva Institute of the Human Brain, Russian Academy of Science, Saint Petersburg, Russia.
Alexander KorotkovN.P. Bechtereva Institute of the Human Brain, Russian Academy of Science, Saint Petersburg, Russia.
Denis CherednichenkoN.P. Bechtereva Institute of the Human Brain, Russian Academy of Science, Saint Petersburg, Russia.
Michael DidurN.P. Bechtereva Institute of the Human Brain, Russian Academy of Science, Saint Petersburg, Russia.
Maxim KireevN.P. Bechtereva Institute of the Human Brain, Russian Academy of Science, Saint Petersburg, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The brain mechanisms of deceptive behavior are relatively well studied, and the key brain regions involved in its processing were established. At the same time, the brain mechanisms underlying the processes of preparation for deception are less known. Methods: We studied BOLD-signal changes during the presentation of the opponent's feedback to a previous deceptive or honest action during the computer game. The goal of the game was to mislead the opponent either by means of deception or by means of telling the truth. Results: As a result, it was shown that several brain regions that were previously demonstrated as involved in deception execution, such as the left anterior cingulate cortex and anterior insula, also underlie processes related to deception preparation. Discussion: The results obtained also allowed us to suggest that brain regions responsible for performance monitoring, intention assessment, suppression of non-selected solutions, and reward processing could be involved in shaping future action selection and preparation for deception. By shedding light on the brain mechanisms underlying deception, our study contributes to a deeper understanding of this complex cognitive process. Furthermore, it emphasizes the significance of exploring brain mechanisms governing the choice between deception and truth at various stages of decision-making.

Indexed as

deceptiondecision-makingfeedbackfMRIreward

Identifiers

PMID38784609
PMCPMC11112074

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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.