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Primate anterior insular cortex represents economic decision variables proposed by prospect theory

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  • You-Ping Yang

    (Johns Hopkins University
    Zanvyl Krieger Mind/Brain Institute)

  • Xinjian Li

    (Zanvyl Krieger Mind/Brain Institute
    Johns Hopkins University School of Medicine)

  • Veit Stuphorn

    (Johns Hopkins University
    Zanvyl Krieger Mind/Brain Institute
    Johns Hopkins University School of Medicine)

Abstract

In humans, risk attitude is highly context-dependent, varying with wealth levels or for different potential outcomes, such as gains or losses. These behavioral effects have been modelled using prospect theory, with the key assumption that humans represent the value of each available option asymmetrically as a gain or loss relative to a reference point. It remains unknown how these computations are implemented at the neuronal level. Here we show that macaques, like humans, change their risk attitude across wealth levels and gain/loss contexts using a token gambling task. Neurons in the anterior insular cortex (AIC) encode the ‘reference point’ (i.e., the current wealth level of the monkey) and reflect ‘loss aversion’ (i.e., option value signals are more sensitive to change in the loss than in the gain context) as postulated by prospect theory. In addition, changes in the activity of a subgroup of AIC neurons correlate with the inter-trial fluctuations in choice and risk attitude. Taken together, we show that the primate AIC in risky decision-making may be involved in monitoring contextual information used to guide the animal’s willingness to accept risk.

Suggested Citation

  • You-Ping Yang & Xinjian Li & Veit Stuphorn, 2022. "Primate anterior insular cortex represents economic decision variables proposed by prospect theory," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-28278-9
    DOI: 10.1038/s41467-022-28278-9
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    References listed on IDEAS

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    1. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    2. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
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    4. Kai Ruggeri & Sonia Alí & Mari Louise Berge & Giulia Bertoldo & Ludvig D. Bjørndal & Anna Cortijos-Bernabeu & Clair Davison & Emir Demić & Celia Esteban-Serna & Maja Friedemann & Shannon P. Gibson & H, 2020. "Replicating patterns of prospect theory for decision under risk," Nature Human Behaviour, Nature, vol. 4(6), pages 622-633, June.
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    Cited by:

    1. Colin W. Hoy & David R. Quiroga-Martinez & Eduardo Sandoval & David King-Stephens & Kenneth D. Laxer & Peter Weber & Jack J. Lin & Robert T. Knight, 2023. "Asymmetric coding of reward prediction errors in human insula and dorsomedial prefrontal cortex," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    2. Kazuo Sano, 2022. "New Concept for the Value Function of Prospect Theory," Papers 2211.00131, arXiv.org, revised Mar 2024.
    3. Wan-Yu Shih & Hsiang-Yu Yu & Cheng-Chia Lee & Chien-Chen Chou & Chien Chen & Paul W. Glimcher & Shih-Wei Wu, 2023. "Electrophysiological population dynamics reveal context dependencies during decision making in human frontal cortex," Nature Communications, Nature, vol. 14(1), pages 1-24, December.
    4. Leo Chi U Seak & Simone Ferrari-Toniolo & Ritesh Jain & Kirby Nielsen & Wolfram Schultz, 2023. "Systematic comparison of risky choices in humans and monkeys," Working Papers 202316, University of Liverpool, Department of Economics.
    5. Yuri Imaizumi & Agnieszka Tymula & Yasuhiro Tsubo & Masayuki Matsumoto & Hiroshi Yamada, 2022. "A neuronal prospect theory model in the brain reward circuitry," Nature Communications, Nature, vol. 13(1), pages 1-11, December.

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