Technical Program: Paper Detail || CCN 2023 || 2023 Conference on Cognitive Computational Neuroscience || Oxford, UK || August 24 - 27, 2023

P-2B.68

An Interplay of Nucleus Accumbens and Anterior Insula Activity Predicts Risky Choice

Leili Mortazavi, Brian Knutson, Stanford University, United States

Session:

Posters 2B Poster

Location:

Marquee

Presentation Time:

Fri, 25 Aug, 13:00 - 15:00 United Kingdom Time

Abstract:

Processes driving a risky choice may involve multiple components. Neural activity that immediately precedes choice, however, should theoretically contain information about risk assessment and thus predict choice in a generalizable manner. Here, we scanned participants (n=48) with Functional Magnetic Resonance Imaging (FMRI) as they made a series of monetary risky choices. We found that pre-choice activity in Nucleus Accumbens (NAcc) and Anterior Insula (AIns) predict risk-seeking versus risk-avoidant choices in opposite directions. Further corroborating the interplay of this approach-avoidance signal, the ratio of NAcc to AIns activity is higher prior to risky choices. Heightened AIns activation is additionally associated with individual differences in risk aversion. These findings help resolve a persistent neuroeconomic theoretical question by indicating that two opposing affective signals drive risk seeking versus risk avoidance, and have implications for better predicting risky choice.

Manuscript:

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License:

Creative Commons License

This work is licensed under a Creative Commons Attribution 3.0 Unported License.

DOI:

10.32470/CCN.2023.1623-0

Publication:

2023 Conference on Cognitive Computational Neuroscience

Session P-2B

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Leili Mortazavi, Brian Knutson, Stanford University, United States

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Last updated Last updated 22 August 2023.