Evidence map›Paper›PMID 36724226›Full record

ArticleScience advances2023

Shared neural representations and temporal segmentation of political content predict ideological similarity.

Daantje de Bruin, Jeroen M van Baar, Pedro L Rodríguez, Oriel FeldmanHall

Abstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  8. Optimistic people are all alike: Shared neural representations supporting episodic future thinking among optimistic individuals.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  9. Article
  10. Article
  11. Youth's Political Identity and Fertility Desires.Journal of marriage and the family · 2024
    Article
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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

4 authors.

Daantje de BruinDepartment of Cognitive, Linguistic, Psychological Sciences, Brown University, Providence, RI, USA.ORCID 0000-0003-3936-8067
Jeroen M van BaarDepartment of Cognitive, Linguistic, Psychological Sciences, Brown University, Providence, RI, USA.ORCID 0000-0001-8567-7931
Pedro L RodríguezCenter for Data Science, New York University, New York, NY, USA.ORCID 0000-0003-4762-4550
Oriel FeldmanHallDepartment of Cognitive, Linguistic, Psychological Sciences, Brown University, Providence, RI, USA.ORCID 0000-0002-0726-3861

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite receiving the same sensory input, opposing partisans often interpret political content in disparate ways. Jointly analyzing controlled and naturalistic functional magnetic resonance imaging data, we uncover the neurobiological mechanisms explaining how these divergent political viewpoints arise. Individuals who share an ideology have more similar neural representations of political words, experience greater neural synchrony during naturalistic political content, and temporally segment real-world information into the same meaningful units. In the striatum and amygdala, increasing intersubject similarity in neural representations of political concepts during a word reading task predicts enhanced synchronization of blood oxygen level-dependent time courses when viewing real-time, inflammatory political videos, revealing that polarization can arise from differences in the brain's affective valuations of political concepts. Together, this research shows that political ideology is shaped by semantic representations of political concepts processed in an environment free of any polarizing agenda and that these representations bias how real-world political information is construed into a polarized perspective.

Indexed as

AmygdalaSemanticsBrain MappingHumansMagnetic Resonance Imaging

Identifiers

PMID36724226
PMCPMC9891706

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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.