Evidence map›Paper›PMID 41169193›Full record

ArticleSocial cognitive and affective neuroscience2025

Beyond uniformity: individual sensitivities to reward and punishment shape midfrontal-theta responses to approach avoidance conflict.

Shubham Pandey, Roman Osinsky

Abstract read
In one paragraph

Article in Social cognitive and affective neuroscience, 2025. 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

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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

2 authors.

Shubham PandeyDifferential Psychology and Personality Research Unit, Institute of Psychology, Osnabrück University, Osnabrück 49076, Germany.ORCID 0000-0002-5591-8551
Roman OsinskyDifferential Psychology and Personality Research Unit, Institute of Psychology, Osnabrück University, Osnabrück 49076, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Approach-avoidance conflict (AAC) is a core aspect of decision-making, involving competing appetitive and aversive outcomes. Given substantial individual differences in sensitivity to reward and punishment, AAC experiences likely vary across individuals. This study examined the neurocognitive mechanisms underlying AAC, focusing on these individual differences. Participants completed a task with four levels of reward and punishment probabilities (.25, .50, .75, 1), choosing to accept or reject rewards paired with potential punishments. Importantly, we did not find a uniform condition that consistently elicited maximum or minimum AAC across participants. We identified individualized high- and low-conflict conditions using three metrics: reaction time, reward rejection rate, and a composite Behavioural Conflict Index. Mid-frontal theta (MFT) power, an established marker of conflict monitoring, was significantly higher in high-conflict compared to low-conflict trials. Computational modelling revealed variability in participants' weighting of reward and punishment probabilities, reflecting differences in participants' sensitivity to reward and punishment outcomes. Furthermore, self-reported Behavioural Inhibition System scores predicted MFT responses, linking personality traits to AAC processing. These findings demonstrate that MFT power reflects AAC-driven cognitive control, shaped by individual sensitivities and traits. Our results emphasize the importance of personalized conflict definitions for understanding adaptive control in motivationally ambiguous contexts.

Indexed as

Avoidance LearningConflict, PsychologicalFrontal LobeIndividualityPunishmentRewardTheta RhythmAdolescentAdultDecision MakingElectroencephalographyFemaleHumansMaleReaction TimeYoung Adultapproachavoidancecognitive controlEEGmid-frontal theta

Identifiers

PMID41169193
PMCPMC12704425

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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.