Evidence map›Paper›PMID 41635700›Full record

ArticleFrontiers in neuroscience2025

Neural mechanisms of cognitive conflict: processing COVID-19 vaccine misinformation.

Morgan Chase McClellan, C Brock Kirwan, Stefania R Ashby

Abstract read
In one paragraph

Article in Frontiers in 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

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

3 authors.

Morgan Chase McClellanCenter for Neuroscience, Brigham Young University, Provo, UT, United States.
C Brock KirwanMindCORE, University of Pennsylvania, Philadelphia, PA, United States.
Stefania R AshbyCenter for Neuroscience, Brigham Young University, Provo, UT, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The rapid spread of misinformation during the COVID-19 pandemic has raised important questions about how individuals evaluate false information, particularly when it conflicts with strongly held prior attitudes. Understanding the neural mechanisms underlying the processing of vaccine-related misinformation may clarify why such beliefs persist despite corrective information. Methods: Using functional magnetic resonance imaging (fMRI), we examined neural responses to COVID-19 vaccine misinformation and factual information in vaccine-receptive participants ( Results: Contrary to our hypotheses, exposure to attitude-incongruent misinformation did not elicit significant activation in emotional processing regions such as the amygdala or precuneus. However, when participants made attitude-incongruent responses-endorsing misinformation or rejecting accurate information-we observed increased activation in the left dorsolateral prefrontal cortex (DLPFC), dorsomedial prefrontal cortex (DMPFC), intraparietal sulcus (IPS), and middle frontal gyrus (MFG), regions associated with decision-making, moral reasoning, memory integration, and cognitive control. Discussion: These findings suggest that conflicts between incoming information and prior attitudes engage effortful, higher-order cognitive systems rather than affective processing. Resolving such conflicts appears to rely on decision-making and control mechanisms that manage uncertainty and cognitive dissonance. Due to recruitment limitations, the present study focused exclusively on vaccine-receptive individuals. Future research should investigate whether vaccine-resistant individuals exhibit similar or distinct neural patterns, which may provide further insight into the persistence of misinformation in the context of negative prior attitudes.

Indexed as

decision-makingfunctional MRI (fMRI)misinformationprior attitudessemantic memoryvaccine hesitancy

Identifiers

PMID41635700
PMCPMC12862833

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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.