The Role of the Medial Prefrontal Cortex in Spatial Margin of Safety Calculations.


Journal

The Journal of neuroscience : the official journal of the Society for Neuroscience
ISSN: 1529-2401
Titre abrégé: J Neurosci
Pays: United States
ID NLM: 8102140

Informations de publication

Date de publication:
12 Jul 2024
Historique:
received: 14 06 2022
revised: 05 05 2023
accepted: 03 07 2024
medline: 13 7 2024
pubmed: 13 7 2024
entrez: 12 7 2024
Statut: aheadofprint

Résumé

Naturalistic observations show that animals pre-empt danger by moving to locations that increase their success in avoiding future threats. To test this in humans, we created a spatial margin of nsafety (MOS) decision task that quantifies pre-emptive avoidance by measuring the distance subjects place themselves to safety when facing different threats whose attack locations vary in predictability. Behavioral results show that human participants place themselves closer to safe locations when facing threats that attack in spatial locations with more outliers. Using both univariate and multivariate pattern analysis (MVPA) on fMRI data collected during a 2-hour session on participants of both sexes, we demonstrate a dissociable role for the vmPFC in MOS-related decision-making. MVPA results revealed that the posterior vmPFC encoded for more unpredictable threats with univariate analyses showing a functional coupling with the amygdala and hippocampus. Conversely, the anterior vmPFC was more active for the more predictable attacks and showed coupling with the striatum. Our findings converge in showing that during pre-emptive danger, the anterior vmPFC may provide a safety signal, possibly via foreseeable outcomes, while the posterior vmPFC drives unpredictable danger signals.

Identifiants

pubmed: 38997158
pii: JNEUROSCI.1162-22.2024
doi: 10.1523/JNEUROSCI.1162-22.2024
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 the authors.

Auteurs

Song Qi (S)

Department of Humanities and Social Sciences and Computation, California Institute of Technology, 1200 E California Blvd, HSS 228-77, Pasadena, California 91125, USA. dmobbs@caltech.edu sqi@caltech.edu.

Logan Cross (L)

Department of Humanities and Social Sciences and Computation, California Institute of Technology, 1200 E California Blvd, HSS 228-77, Pasadena, California 91125, USA.
Neural Systems Program at the California Institute of Technology, 1200 E California Blvd, HSS 228-77, Pasadena, California 91125, USA.

Toby Wise (T)

Department of Humanities and Social Sciences and Computation, California Institute of Technology, 1200 E California Blvd, HSS 228-77, Pasadena, California 91125, USA.

Xin Sui (X)

Department of Humanities and Social Sciences and Computation, California Institute of Technology, 1200 E California Blvd, HSS 228-77, Pasadena, California 91125, USA.

John O'Doherty (J)

Department of Humanities and Social Sciences and Computation, California Institute of Technology, 1200 E California Blvd, HSS 228-77, Pasadena, California 91125, USA.
Neural Systems Program at the California Institute of Technology, 1200 E California Blvd, HSS 228-77, Pasadena, California 91125, USA.

Dean Mobbs (D)

Department of Humanities and Social Sciences and Computation, California Institute of Technology, 1200 E California Blvd, HSS 228-77, Pasadena, California 91125, USA. dmobbs@caltech.edu sqi@caltech.edu.
Neural Systems Program at the California Institute of Technology, 1200 E California Blvd, HSS 228-77, Pasadena, California 91125, USA.

Classifications MeSH