IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0108886.html
   My bibliography  Save this article

Early Effects of Reward Anticipation Are Modulated by Dopaminergic Stimulation

Author

Listed:
  • Thore Apitz
  • Nico Bunzeck

Abstract

The abilities to predict future rewards and assess the value of reward delivery are crucial aspects of adaptive behavior. While the mesolimbic system, including dopaminergic midbrain, ventral striatum and prefrontal cortex have long been associated with reward processing, recent studies also indicate a prominent role of early visual brain regions. However, the precise underlying neural mechanisms still remain unclear. To address this issue, we presented participants with visual cues predicting rewards of high and low magnitudes and probability (2×2 factorial design), while neural activity was scanned using magnetoencephalography. Importantly, one group of participants received 150 mg of the dopamine precursor levodopa prior to the experiment, while another group received a placebo. For the placebo group, neural signals of reward probability (but not magnitude) emerged at ∼100 ms after cue presentation at occipital sensors in the event-related magnetic fields. Importantly, these probability signals were absent in the levodopa group indicating a close link. Moreover, levodopa administration reduced oscillatory power in the high (20–30 Hz) and low (13–20 Hz) beta band during both reward anticipation and delivery. Taken together, our findings indicate that visual brain regions are involved in coding prospective reward probability but not magnitude and that these effects are modulated by dopamine.

Suggested Citation

  • Thore Apitz & Nico Bunzeck, 2014. "Early Effects of Reward Anticipation Are Modulated by Dopaminergic Stimulation," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-11, October.
  • Handle: RePEc:plo:pone00:0108886
    DOI: 10.1371/journal.pone.0108886
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0108886
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0108886&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0108886?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. Michael L. Platt & Paul W. Glimcher, 1999. "Neural correlates of decision variables in parietal cortex," Nature, Nature, vol. 400(6741), pages 233-238, July.
    2. Behrad Noudoost & Tirin Moore, 2011. "Control of visual cortical signals by prefrontal dopamine," Nature, Nature, vol. 474(7351), pages 372-375, June.
    3. Engelmann, Jan B. & Damaraju, Eswar & Padmala, Srikanth & Pessoa, Luiz, 2009. "Combined effects of attention and motivation on visual task performance: transient and sustained motivational effects," MPRA Paper 52133, University Library of Munich, Germany.
    Full references (including those not matched with items on IDEAS)

    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. Peter R Murphy & Joachim Vandekerckhove & Sander Nieuwenhuis, 2014. "Pupil-Linked Arousal Determines Variability in Perceptual Decision Making," PLOS Computational Biology, Public Library of Science, vol. 10(9), pages 1-13, September.
    2. Laurette Dubé & Antoine Bechara & Ulf Böckenholt & Asim Ansari & Alain Dagher & Mark Daniel & Wayne DeSarbo & Lesley Fellows & Ross Hammond & Terry Huang & Scott Huettel & Yan Kestens & Bärbel Knäuper, 2009. "Towards a brain-to-society systems model of individual choice," Marketing Letters, Springer, vol. 20(1), pages 105-106, March.
    3. Glimcher, Paul W. & Tymula, Agnieszka A., 2023. "Expected subjective value theory (ESVT): A representation of decision under risk and certainty," Journal of Economic Behavior & Organization, Elsevier, vol. 207(C), pages 110-128.
    4. Jan B Engelmann & C Monica Capra & Charles Noussair & Gregory S Berns, 2009. "Expert Financial Advice Neurobiologically “Offloads” Financial Decision-Making under Risk," PLOS ONE, Public Library of Science, vol. 4(3), pages 1-14, March.
    5. Jeffrey J Stott & A David Redish, 2015. "Representations of Value in the Brain: An Embarrassment of Riches?," PLOS Biology, Public Library of Science, vol. 13(6), pages 1-7, June.
    6. 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.
    7. Knutson, Brian & Peterson, Richard, 2005. "Neurally reconstructing expected utility," Games and Economic Behavior, Elsevier, vol. 52(2), pages 305-315, August.
    8. Valeria Faralla & Francesca Benuzzi & Fausta Lui & Patrizia Baraldi & Paolo Nichelli & Nicola Dimitri, 2010. "Gains and Losses: A Common Neural Network for Economic Behaviour," Labsi Experimental Economics Laboratory University of Siena 033, University of Siena.
    9. 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.
    10. Zhewei Zhang & Chaoqun Yin & Tianming Yang, 2022. "Evidence accumulation occurs locally in the parietal cortex," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    11. Engelmann, Jan B. & Damaraju, Eswar & Padmala, Srikanth & Pessoa, Luiz, 2009. "Combined effects of attention and motivation on visual task performance: transient and sustained motivational effects," MPRA Paper 52133, University Library of Munich, Germany.
    12. 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.
    13. David Florentino Montez & Finnegan J Calabro & Beatriz Luna, 2019. "Working memory improves developmentally as neural processes stabilize," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-15, March.
    14. Stanton, Angela A., 2008. "Neuroeconomics: A Critique of 'Neuroeconomics: A Critical Reconsideration'," MPRA Paper 7928, University Library of Munich, Germany.
    15. Johannes Rüter & Nicolas Marcille & Henning Sprekeler & Wulfram Gerstner & Michael H Herzog, 2012. "Paradoxical Evidence Integration in Rapid Decision Processes," PLOS Computational Biology, Public Library of Science, vol. 8(2), pages 1-10, February.
    16. Bhatt, Meghana & Camerer, Colin F., 2005. "Self-referential thinking and equilibrium as states of mind in games: fMRI evidence," Games and Economic Behavior, Elsevier, vol. 52(2), pages 424-459, August.
    17. Filip Gesiarz & Donal Cahill & Tali Sharot, 2019. "Evidence accumulation is biased by motivation: A computational account," PLOS Computational Biology, Public Library of Science, vol. 15(6), pages 1-15, June.
    18. B. Douglas Bernheim, 2009. "On the Potential of Neuroeconomics: A Critical (but Hopeful) Appraisal," American Economic Journal: Microeconomics, American Economic Association, vol. 1(2), pages 1-41, August.
    19. 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.
    20. Conover, Kent L. & Shizgal, Peter, 2005. "Employing labor-supply theory to measure the reward value of electrical brain stimulation," Games and Economic Behavior, Elsevier, vol. 52(2), pages 283-304, August.

    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:plo:pone00:0108886. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.