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How the brain integrates costs and benefits during decision making

Author

Listed:
  • Basten, Ulrike
  • Biele, Guido
  • Heekeren, Hauke R.
  • Fiebach, Christian J.

Abstract

When we make decisions, the benefits of an option often need to be weighed against accompanying costs. Little is known, however, about the neural systems underlying such cost–benefit computations. Using functional magnetic resonance imaging and choice modeling, we show that decision making based on cost–benefit comparison can be explained as a stochastic accumulation of cost–benefit difference. Model-driven functional MRI shows that ventromedial and left dorsolateral prefrontal cortex compare costs and benefits by computing the difference between neural signatures of anticipated benefits and costs from the ventral striatum and amygdala, respectively. Moreover, changes in blood oxygen level dependent (BOLD) signal in the bilateral middle intraparietal sulcus reflect the accumulation of the difference signal from ventromedial prefrontal cortex. In sum, we show that a neurophysiological mechanism previously established for perceptual decision making, that is, the difference-based accumulation of evidence, is fundamental also in value-based decisions. The brain, thus, weighs costs against benefits by combining neural benefit and cost signals into a single, difference-based neural representation of net value, which is accumulated over time until the individual decides to accept or reject an option.

Suggested Citation

  • Basten, Ulrike & Biele, Guido & Heekeren, Hauke R. & Fiebach, Christian J., 2010. "How the brain integrates costs and benefits during decision making," SFB 649 Discussion Papers 2010-063, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  • Handle: RePEc:zbw:sfb649:sfb649dp2010-063
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    Citations

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    Cited by:

    1. Ryan Webb, 2019. "The (Neural) Dynamics of Stochastic Choice," Management Science, INFORMS, vol. 65(1), pages 230-255, January.
    2. Clithero, John A., 2018. "Response times in economics: Looking through the lens of sequential sampling models," Journal of Economic Psychology, Elsevier, vol. 69(C), pages 61-86.
    3. Cary Frydman & Nicholas Barberis & Colin Camerer & Peter Bossaerts & Antonio Rangel, 2012. "Using Neural Data to Test a Theory of Investor Behavior: An Application to Realization Utility," NBER Working Papers 18562, National Bureau of Economic Research, Inc.
    4. Daniel Serra, 2021. "Decision-making: from neuroscience to neuroeconomics—an overview," Theory and Decision, Springer, vol. 91(1), pages 1-80, July.
    5. 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.
    6. 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.
    7. Mads Lund Pedersen & Tor Endestad & Guido Biele, 2015. "Evidence Accumulation and Choice Maintenance Are Dissociated in Human Perceptual Decision Making," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-20, October.
    8. Thomas, Armin W. & Molter, Felix & Krajbich, Ian & Heekeren, Hauke R. & Mohr, Peter N. C., 2019. "Gaze bias differences capture individual choice behaviour," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 3(6), pages 625-635.
    9. Tobias Otto & Fred R H Zijlstra & Rainer Goebel, 2018. "Feeling the force: Changes in a left-lateralized network of brain areas under simulated workday conditions are reflected in subjective mental effort investment," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-21, June.
    10. Ian Krajbich & Todd Hare & Björn Bartling & Yosuke Morishima & Ernst Fehr, 2015. "A Common Mechanism Underlying Food Choice and Social Decisions," PLOS Computational Biology, Public Library of Science, vol. 11(10), pages 1-24, October.
    11. Vriens, M. & Vidden, C. & Schomaker, J., 2020. "What I see is what I want: Top-down attention biasing choice behavior," Journal of Business Research, Elsevier, vol. 111(C), pages 262-269.
    12. Ernst Fehr & Antonio Rangel, 2011. "Neuroeconomic Foundations of Economic Choice--Recent Advances," Journal of Economic Perspectives, American Economic Association, vol. 25(4), pages 3-30, Fall.
    13. Clithero, John A., 2018. "Improving out-of-sample predictions using response times and a model of the decision process," Journal of Economic Behavior & Organization, Elsevier, vol. 148(C), pages 344-375.

    More about this item

    Keywords

    cost–benefit; integration valuation; diffusion model; model-based functional MRI;
    All these keywords.

    JEL classification:

    • C00 - Mathematical and Quantitative Methods - - General - - - General

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