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Trait paranoia shapes inter-subject synchrony in brain activity during an ambiguous social narrative

Author

Listed:
  • Emily S. Finn

    (National Institute of Mental Health)

  • Philip R. Corlett

    (Yale School of Medicine)

  • Gang Chen

    (National Institute of Mental Health)

  • Peter A. Bandettini

    (National Institute of Mental Health)

  • R. Todd Constable

    (Yale School of Medicine)

Abstract

Individuals often interpret the same event in different ways. How do personality traits modulate brain activity evoked by a complex stimulus? Here we report results from a naturalistic paradigm designed to draw out both neural and behavioral variation along a specific dimension of interest, namely paranoia. Participants listen to a narrative during functional MRI describing an ambiguous social scenario, written such that some individuals would find it highly suspicious, while others less so. Using inter-subject correlation analysis, we identify several brain areas that are differentially synchronized during listening between participants with high and low trait-level paranoia, including theory-of-mind regions. Follow-up analyses indicate that these regions are more active to mentalizing events in high-paranoia individuals. Analyzing participants’ speech as they freely recall the narrative reveals semantic and syntactic features that also scale with paranoia. Results indicate that a personality trait can act as an intrinsic “prime,” yielding different neural and behavioral responses to the same stimulus across individuals.

Suggested Citation

  • Emily S. Finn & Philip R. Corlett & Gang Chen & Peter A. Bandettini & R. Todd Constable, 2018. "Trait paranoia shapes inter-subject synchrony in brain activity during an ambiguous social narrative," Nature Communications, Nature, vol. 9(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-04387-2
    DOI: 10.1038/s41467-018-04387-2
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    Cited by:

    1. Enning Yang & Filip Milisav & Jakub Kopal & Avram J. Holmes & Georgios D. Mitsis & Bratislav Misic & Emily S. Finn & Danilo Bzdok, 2023. "The default network dominates neural responses to evolving movie stories," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    2. Elisa C. Baek & Ryan Hyon & Karina López & Emily S. Finn & Mason A. Porter & Carolyn Parkinson, 2022. "In-degree centrality in a social network is linked to coordinated neural activity," Nature Communications, Nature, vol. 13(1), pages 1-13, December.

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