IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v14y2023i1d10.1038_s41467-023-38709-w.html
   My bibliography  Save this article

Task state representations in vmPFC mediate relevant and irrelevant value signals and their behavioral influence

Author

Listed:
  • Nir Moneta

    (Max Planck Institute for Human Development
    Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin
    Charité Universitätsmedizin Berlin)

  • Mona M. Garvert

    (Max Planck Institute for Human Development
    Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin
    Max Planck Institute for Human Cognitive and Brain Sciences)

  • Hauke R. Heekeren

    (Charité Universitätsmedizin Berlin
    Freie Universität Berlin
    Universität Hamburg)

  • Nicolas W. Schuck

    (Max Planck Institute for Human Development
    Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin
    Universität Hamburg)

Abstract

The ventromedial prefrontal-cortex (vmPFC) is known to contain expected value signals that inform our choices. But expected values even for the same stimulus can differ by task. In this study, we asked how the brain flexibly switches between such value representations in a task-dependent manner. Thirty-five participants alternated between tasks in which either stimulus color or motion predicted rewards. We show that multivariate vmPFC signals contain a rich representation that includes the current task state or context (motion/color), the associated expected value, and crucially, the irrelevant value of the alternative context. We also find that irrelevant value representations in vmPFC compete with relevant value signals, interact with task-state representations and relate to behavioral signs of value competition. Our results shed light on vmPFC’s role in decision making, bridging between its role in mapping observations onto the task states of a mental map, and computing expected values for multiple states.

Suggested Citation

  • Nir Moneta & Mona M. Garvert & Hauke R. Heekeren & Nicolas W. Schuck, 2023. "Task state representations in vmPFC mediate relevant and irrelevant value signals and their behavioral influence," Nature Communications, Nature, vol. 14(1), pages 1-21, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-38709-w
    DOI: 10.1038/s41467-023-38709-w
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-38709-w
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-023-38709-w?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Margaret L. Schlichting & Jeanette A. Mumford & Alison R. Preston, 2015. "Learning-related representational changes reveal dissociable integration and separation signatures in the hippocampus and prefrontal cortex," Nature Communications, Nature, vol. 6(1), pages 1-10, November.
    2. Bates, Douglas & Mächler, Martin & Bolker, Ben & Walker, Steve, 2015. "Fitting Linear Mixed-Effects Models Using lme4," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 67(i01).
    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. G. Elliott Wimmer & Christian Büchel, 2019. "Learning of distant state predictions by the orbitofrontal cortex in humans," Nature Communications, Nature, vol. 10(1), pages 1-11, December.
    5. Michael L. Mack & Alison R. Preston & Bradley C. Love, 2020. "Ventromedial prefrontal cortex compression during concept learning," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    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. Arno Klein & Satrajit S Ghosh & Forrest S Bao & Joachim Giard & Yrjö Häme & Eliezer Stavsky & Noah Lee & Brian Rossa & Martin Reuter & Elias Chaibub Neto & Anisha Keshavan, 2017. "Mindboggling morphometry of human brains," PLOS Computational Biology, Public Library of Science, vol. 13(2), pages 1-40, February.
    8. 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..
    9. Charles R. Harris & K. Jarrod Millman & Stéfan J. Walt & Ralf Gommers & Pauli Virtanen & David Cournapeau & Eric Wieser & Julian Taylor & Sebastian Berg & Nathaniel J. Smith & Robert Kern & Matti Picu, 2020. "Array programming with NumPy," Nature, Nature, vol. 585(7825), pages 357-362, September.
    10. Jeanette A Mumford & Jean-Baptiste Poline & Russell A Poldrack, 2015. "Orthogonalization of Regressors in fMRI Models," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-11, April.
    11. Christian F. Doeller & Caswell Barry & Neil Burgess, 2010. "Evidence for grid cells in a human memory network," Nature, Nature, vol. 463(7281), pages 657-661, February.
    12. Romy Frömer & Carolyn K. Dean Wolf & Amitai Shenhav, 2019. "Goal congruency dominates reward value in accounting for behavioral and neural correlates of value-based decision-making," Nature Communications, Nature, vol. 10(1), pages 1-11, December.
    13. Sébastien Ballesta & Weikang Shi & Katherine E. Conen & Camillo Padoa-Schioppa, 2020. "Values encoded in orbitofrontal cortex are causally related to economic choices," Nature, Nature, vol. 588(7838), pages 450-453, December.
    14. Amitai Shenhav & Mark A. Straccia & Sebastian Musslick & Jonathan D. Cohen & Matthew M. Botvinick, 2018. "Dissociable neural mechanisms track evidence accumulation for selection of attention versus action," Nature Communications, Nature, vol. 9(1), pages 1-10, December.
    15. R. Frömer & H. Lin & C. K. Dean Wolf & M. Inzlicht & A. Shenhav, 2021. "Expectations of reward and efficacy guide cognitive control allocation," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Alexander Nitsch & Mona M. Garvert & Jacob L. S. Bellmund & Nicolas W. Schuck & Christian F. Doeller, 2024. "Grid-like entorhinal representation of an abstract value space during prospective decision making," Nature Communications, Nature, vol. 15(1), pages 1-20, December.
    2. Márton Albert Hajnal & Duy Tran & Zsombor Szabó & Andrea Albert & Karen Safaryan & Michael Einstein & Mauricio Vallejo Martelo & Pierre-Olivier Polack & Peyman Golshani & Gergő Orbán, 2024. "Shifts in attention drive context-dependent subspace encoding in anterior cingulate cortex in mice during decision making," Nature Communications, Nature, vol. 15(1), pages 1-17, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Wenyi Zhang & Yang Xie & Tianming Yang, 2022. "Reward salience but not spatial attention dominates the value representation in the orbitofrontal cortex," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    3. Alexander Nitsch & Mona M. Garvert & Jacob L. S. Bellmund & Nicolas W. Schuck & Christian F. Doeller, 2024. "Grid-like entorhinal representation of an abstract value space during prospective decision making," Nature Communications, Nature, vol. 15(1), pages 1-20, December.
    4. Eleanor Holton & Jan Grohn & Harry Ward & Sanjay G. Manohar & Jill X. O’Reilly & Nils Kolling, 2024. "Goal commitment is supported by vmPFC through selective attention," Nature Human Behaviour, Nature, vol. 8(7), pages 1351-1365, July.
    5. 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.
    6. Dickhaut, John & Smith, Vernon & Xin, Baohua & Rustichini, Aldo, 2013. "Human economic choice as costly information processing," Journal of Economic Behavior & Organization, Elsevier, vol. 94(C), pages 206-221.
    7. Gerda Ana Melnik-Leroy & Gintautas Dzemyda, 2021. "How to Influence the Results of MCDM?—Evidence of the Impact of Cognitive Biases," Mathematics, MDPI, vol. 9(2), pages 1-25, January.
    8. Brocas, Isabelle & Carrillo, Juan D., 2012. "From perception to action: An economic model of brain processes," Games and Economic Behavior, Elsevier, vol. 75(1), pages 81-103.
    9. Zachariah M. Reagh & Charan Ranganath, 2023. "Flexible reuse of cortico-hippocampal representations during encoding and recall of naturalistic events," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    10. Sam Audrain & Mary Pat McAndrews, 2022. "Schemas provide a scaffold for neocortical integration of new memories over time," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    11. Katarzyna Jurewicz & Brianna J. Sleezer & Priyanka S. Mehta & Benjamin Y. Hayden & R. Becket Ebitz, 2024. "Irrational choices via a curvilinear representational geometry for value," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    12. Nagaraj R. Mahajan & Shreesh P. Mysore, 2022. "Donut-like organization of inhibition underlies categorical neural responses in the midbrain," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    13. Evan M. Russek & Rani Moran & Yunzhe Liu & Raymond J. Dolan & Quentin J. M. Huys, 2024. "Heuristics in risky decision-making relate to preferential representation of information," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    14. Laura E. Suárez & Agoston Mihalik & Filip Milisav & Kenji Marshall & Mingze Li & Petra E. Vértes & Guillaume Lajoie & Bratislav Misic, 2024. "Connectome-based reservoir computing with the conn2res toolbox," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    15. Arno Onken & Jue Xie & Stefano Panzeri & Camillo Padoa-Schioppa, 2019. "Categorical encoding of decision variables in orbitofrontal cortex," PLOS Computational Biology, Public Library of Science, vol. 15(10), pages 1-27, October.
    16. Demetrio Ferro & Tyler Cash-Padgett & Maya Zhe Wang & Benjamin Y. Hayden & Rubén Moreno-Bote, 2024. "Gaze-centered gating, reactivation, and reevaluation of economic value in orbitofrontal cortex," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    17. Carlos Alós-Ferrer & Michele Garagnani, 2022. "Strength of preference and decisions under risk," Journal of Risk and Uncertainty, Springer, vol. 64(3), pages 309-329, June.
    18. Xing, Annabelle, 2021. "Foreign language effect on risk preference: The framing effect, loss aversion, and risk aversion," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 93(C).
    19. Simone Ferrari-Toniolo & Leo Chi U. Seak & Wolfram Schultz, 2022. "Risky choice: Probability weighting explains independence axiom violations in monkeys," Journal of Risk and Uncertainty, Springer, vol. 65(3), pages 319-351, December.
    20. Jacob L. S. Bellmund & Lorena Deuker & Nicole D. Montijn & Christian F. Doeller, 2022. "Mnemonic construction and representation of temporal structure in the hippocampal formation," Nature Communications, Nature, vol. 13(1), pages 1-16, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-38709-w. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.