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

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    • Source:
      Publisher: American Association for the Advancement of Science Country of Publication: United States NLM ID: 101653440 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2375-2548 (Electronic) Linking ISSN: 23752548 NLM ISO Abbreviation: Sci Adv Subsets: MEDLINE
    • Publication Information:
      Original Publication: Washington, DC : American Association for the Advancement of Science, [2015]-
    • Subject Terms:
    • 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.
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    • Publication Date:
      Date Created: 20230201 Date Completed: 20230203 Latest Revision: 20230307
    • Publication Date:
      20240829
    • Accession Number:
      PMC9891706
    • Accession Number:
      10.1126/sciadv.abq5920
    • Accession Number:
      36724226