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Electrophysiological population dynamics reveal context dependencies during decision making in human frontal cortex

Author

Listed:
  • Wan-Yu Shih

    (National Yang Ming Chiao Tung University)

  • Hsiang-Yu Yu

    (National Yang Ming Chiao Tung University
    Taipei Veterans General Hospital
    National Yang Ming Chiao Tung University)

  • Cheng-Chia Lee

    (Taipei Veterans General Hospital
    National Yang Ming Chiao Tung University
    Taipei Veterans General Hospital)

  • Chien-Chen Chou

    (National Yang Ming Chiao Tung University
    Taipei Veterans General Hospital
    National Yang Ming Chiao Tung University)

  • Chien Chen

    (National Yang Ming Chiao Tung University
    Taipei Veterans General Hospital
    National Yang Ming Chiao Tung University)

  • Paul W. Glimcher

    (NYU Grossman School of Medicine
    NYU Grossman School of Medicine)

  • Shih-Wei Wu

    (National Yang Ming Chiao Tung University
    National Yang Ming Chiao Tung University)

Abstract

Evidence from monkeys and humans suggests that the orbitofrontal cortex (OFC) encodes the subjective value of options under consideration during choice. Data from non-human primates suggests that these value signals are context-dependent, representing subjective value in a way influenced by the decision makers’ recent experience. Using electrodes distributed throughout cortical and subcortical structures, human epilepsy patients performed an auction task where they repeatedly reported the subjective values they placed on snack food items. High-gamma activity in many cortical and subcortical sites including the OFC positively correlated with subjective value. Other OFC sites showed signals contextually modulated by the subjective value of previously offered goods—a context dependency predicted by theory but not previously observed in humans. These results suggest that value and value-context signals are simultaneously present but separately represented in human frontal cortical activity.

Suggested Citation

  • 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.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-42092-x
    DOI: 10.1038/s41467-023-42092-x
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    References listed on IDEAS

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    1. Alizée Lopez-Persem & Lionel Rigoux & Sacha Bourgeois-Gironde & Jean Daunizeau & Mathias Pessiglione, 2017. "Choose, rate or squeeze: Comparison of economic value functions elicited by different behavioral tasks," PLOS Computational Biology, Public Library of Science, vol. 13(11), pages 1-18, November.
    2. Léon Tremblay & Wolfram Schultz, 1999. "Relative reward preference in primate orbitofrontal cortex," Nature, Nature, vol. 398(6729), pages 704-708, April.
    3. Valerio Mante & David Sussillo & Krishna V. Shenoy & William T. Newsome, 2013. "Context-dependent computation by recurrent dynamics in prefrontal cortex," Nature, Nature, vol. 503(7474), pages 78-84, November.
    4. Michael L. Platt & Paul W. Glimcher, 1999. "Neural correlates of decision variables in parietal cortex," Nature, Nature, vol. 400(6741), pages 233-238, July.
    5. Sarah Lichtenstein & Paul Slovic, 1973. "Response-induced reversals of preference in gambling: An extended replication in las vegas," Framed Field Experiments 00169, The Field Experiments Website.
    6. Camillo Padoa-Schioppa & John A. Assad, 2006. "Neurons in the orbitofrontal cortex encode economic value," Nature, Nature, vol. 441(7090), pages 223-226, May.
    7. Wei-Hsiang Lin & Justin L Gardner & Shih-Wei Wu, 2020. "Context effects on probability estimation," PLOS Biology, Public Library of Science, vol. 18(3), pages 1-45, March.
    8. Timothy D. Hanks & Charles D. Kopec & Bingni W. Brunton & Chunyu A. Duan & Jeffrey C. Erlich & Carlos D. Brody, 2015. "Distinct relationships of parietal and prefrontal cortices to evidence accumulation," Nature, Nature, vol. 520(7546), pages 220-223, April.
    9. Andrew Caplin & Mark Dean, 2015. "Revealed Preference, Rational Inattention, and Costly Information Acquisition," American Economic Review, American Economic Association, vol. 105(7), pages 2183-2203, July.
    10. 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.
    11. 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..
    12. Ryan Webb & Paul W. Glimcher & Kenway Louie, 2021. "The Normalization of Consumer Valuations: Context-Dependent Preferences from Neurobiological Constraints," Management Science, INFORMS, vol. 67(1), pages 93-125, January.
    13. Michael Woodford, 2020. "Modeling Imprecision in Perception, Valuation, and Choice," Annual Review of Economics, Annual Reviews, vol. 12(1), pages 579-601, August.
    14. Nikos K. Logothetis & Jon Pauls & Mark Augath & Torsten Trinath & Axel Oeltermann, 2001. "Neurophysiological investigation of the basis of the fMRI signal," Nature, Nature, vol. 412(6843), pages 150-157, July.
    15. Grether, David M & Plott, Charles R, 1979. "Economic Theory of Choice and the Preference Reversal Phenomenon," American Economic Review, American Economic Association, vol. 69(4), pages 623-638, September.
    16. Adam Kepecs & Naoshige Uchida & Hatim A. Zariwala & Zachary F. Mainen, 2008. "Neural correlates, computation and behavioural impact of decision confidence," Nature, Nature, vol. 455(7210), pages 227-231, September.
    17. Tversky, Amos & Slovic, Paul & Kahneman, Daniel, 1990. "The Causes of Preference Reversal," American Economic Review, American Economic Association, vol. 80(1), pages 204-217, March.
    18. Richard H. Thaler & Eric J. Johnson, 1990. "Gambling with the House Money and Trying to Break Even: The Effects of Prior Outcomes on Risky Choice," Management Science, INFORMS, vol. 36(6), pages 643-660, June.
    19. Hiroshi Yamada & Kenway Louie & Agnieszka Tymula & Paul W. Glimcher, 2018. "Free choice shapes normalized value signals in medial orbitofrontal cortex," Nature Communications, Nature, vol. 9(1), pages 1-11, December.
    20. Erin L. Rich & Joni D. Wallis, 2017. "Spatiotemporal dynamics of information encoding revealed in orbitofrontal high-gamma," Nature Communications, Nature, vol. 8(1), pages 1-13, December.
    21. Will Dabney & Zeb Kurth-Nelson & Naoshige Uchida & Clara Kwon Starkweather & Demis Hassabis & Rémi Munos & Matthew Botvinick, 2020. "A distributional code for value in dopamine-based reinforcement learning," Nature, Nature, vol. 577(7792), pages 671-675, January.
    22. Jan Zimmermann & Paul W. Glimcher & Kenway Louie, 2018. "Multiple timescales of normalized value coding underlie adaptive choice behavior," Nature Communications, Nature, vol. 9(1), pages 1-11, December.
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