Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Automatic integration of confidence in the brain valuation signal

Abstract

A key process in decision-making is estimating the value of possible outcomes. Growing evidence suggests that different types of values are automatically encoded in the ventromedial prefrontal cortex (VMPFC). Here we extend this idea by suggesting that any overt judgment is accompanied by a second-order valuation (a confidence estimate), which is also automatically incorporated in VMPFC activity. In accordance with the predictions of our normative model of rating tasks, two behavioral experiments showed that confidence levels were quadratically related to first-order judgments (age, value or probability ratings). The analysis of three functional magnetic resonance imaging data sets using similar rating tasks confirmed that the quadratic extension of first-order ratings (our proxy for confidence) was encoded in VMPFC activity, even if no confidence judgment was required of the participants. Such an automatic aggregation of value and confidence in a same brain region might provide insight into many distortions of judgment and choice.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1: Model simulations.
Figure 2: Relationship between confidence and stimulus pleasantness or age rating (study 1a).
Figure 3: Neural integration of confidence in stimulus pleasantness and age rating (study 1b).
Figure 4: Neural integration of confidence in stimulus desirability rating (study 2).
Figure 5: Relationship between confidence and prospect desirability or probability (study 3a).
Figure 6: Neural integration of confidence in prospect desirability and probability rating (study 3b).

Similar content being viewed by others

References

  1. Von Neumann, J. & Morgenstern, O. Game Theory and Economic Behavior (Princeton Univ. Press, 1944).

  2. Samuelson, P.A. A note on the pure theory of consumer's behaviour. Economica 5, 61–71 (1938).

    Article  Google Scholar 

  3. Peters, J. & Buchel, C. Neural representations of subjective reward value. Behav. Brain Res. 213, 135–141 (2010).

    Article  CAS  Google Scholar 

  4. Bartra, O., McGuire, J.T. & Kable, J.W. The valuation system: a coordinate-based meta-analysis of BOLD fMRI experiments examining neural correlates of subjective value. Neuroimage 76, 412–427 (2013).

    Article  Google Scholar 

  5. Clithero, J.A. & Rangel, A. Informatic parcellation of the network involved in the computation of subjective value. Soc. Cogn. Affect. Neurosci. 9, 1289–1302 (2014).

    Article  Google Scholar 

  6. Blood, A.J., Zatorre, R., Bermudez, P. & Evans, A. Emotional responses to pleasant and unpleasant music correlate with activity in paralimbic brain regions. Nat. Neurosci. 2, 382–387 (1999).

    Article  CAS  Google Scholar 

  7. Chib, V.S., Rangel, A., Shimojo, S. & O'Doherty, J.P. Evidence for a common representation of decision values for dissimilar goods in human ventromedial prefrontal cortex. J. Neurosci. 29, 12315–12320 (2009).

    Article  CAS  Google Scholar 

  8. Hare, T.A., Camerer, C.F., Knoepfle, D.T., O'Doherty, J.P. & Rangel, A. Value computations in ventral medial prefrontal cortex during charitable decision making incorporate input from regions involved in social cognition. J. Neurosci. 30, 583–590 (2010).

    Article  CAS  Google Scholar 

  9. Lebreton, M., Jorge, S., Michel, V., Thirion, B. & Pessiglione, M. An automatic valuation system in the human brain: evidence from functional neuroimaging. Neuron 64, 431–439 (2009).

    Article  CAS  Google Scholar 

  10. Plassmann, H., O'Doherty, J. & Rangel, A. Orbitofrontal cortex encodes willingness to pay in everyday economic transactions. J. Neurosci. 27, 9984–9988 (2007).

    Article  CAS  Google Scholar 

  11. Levy, I., Lazzaro, S., Rutledge, R. & Glimcher, P. Choice from non-choice: predicting consumer preferences from blood oxygenation level-dependent signals obtained during passive viewing. J. Neurosci. 31, 118–125 (2011).

    Article  CAS  Google Scholar 

  12. Harvey, A.H., Kirk, U., Denfield, G. & Montague, P. Monetary favors and their influence on neural responses and revealed preference. J. Neurosci. 30, 9597–9602 (2010).

    Article  CAS  Google Scholar 

  13. Abitbol, R. et al. Neural mechanisms underlying contextual dependency of subjective values: converging evidence from monkeys and humans. J. Neurosci. 35, 2308–2320 (2015).

    Article  CAS  Google Scholar 

  14. Kepecs, A., Uchida, N., Zariwala, H. & Mainen, Z. Neural correlates, computation and behavioural impact of decision confidence. Nature 455, 227–231 (2008).

    Article  CAS  Google Scholar 

  15. De Martino, B., Fleming, S.M., Garrett, N. & Dolan, R.J. Confidence in value-based choice. Nat. Neurosci. 16, 105–110 (2013).

    Article  CAS  Google Scholar 

  16. Rolls, E.T., Grabenhorst, F. & Deco, G. Choice, difficulty, and confidence in the brain. Neuroimage 53, 694–706 (2010).

    Article  Google Scholar 

  17. Pleskac, T.J. & Busemeyer, J.R. Two-stage dynamic signal detection: a theory of choice, decision time, and confidence. Psychol. Rev. 117, 864–901 (2010).

    Article  Google Scholar 

  18. Yu, S., Pleskac, T.J. & Zeigenfuse, M.D. Dynamics of postdecisional processing of confidence. J. Exp. Psychol. Gen. 144, 489–510 (2015).

    Article  Google Scholar 

  19. Griffin, D. & Tversky, A. The weighing of evidence and the determinants of confidence. Cognit. Psychol. 24, 411–435 (1992).

    Article  Google Scholar 

  20. Lichtenstein, S., Fischhoff, B. & Phillips, L.D. in Heuristics and Biases 306–334 (Cambridge Univ. Press, 1982).

  21. Lebreton, M., Kawa, S., Forgeot d'Arc, B., Daunizeau, J. & Pessiglione, M. Your goal is mine: unraveling mimetic desires in the human brain. J. Neurosci. 32, 7146–7157 (2012).

    Article  CAS  Google Scholar 

  22. Sharot, T., Riccardi, A.M., Raio, C.M. & Phelps, E.A. Neural mechanisms mediating optimism bias. Nature 450, 102–105 (2007).

    Article  CAS  Google Scholar 

  23. Pierce, C.S. & Jastrow, J. On small differences of sensation. Mem. Natl. Acad. Sci. 3, 73–83 (1884).

    Google Scholar 

  24. Adams, J.K. A confidence scale defined in terms of expected percentages. Am. J. Psychol. 70, 432–436 (1957).

    Article  CAS  Google Scholar 

  25. Vickers, D. Decision Processes in Visual Perception (Academic, New York, 1979).

  26. Fleming, S.M. & Dolan, R.J. The neural basis of metacognitive ability. Phil. Trans. R. Soc. Lond. B 367, 1338–1349 (2012).

    Article  Google Scholar 

  27. Yeung, N. & Summerfield, C. Metacognition in human decision-making: confidence and error monitoring. Phil. Trans. R. Soc. Lond. B 367, 1310–1321 (2012).

    Article  Google Scholar 

  28. Daunizeau, J. A note on race models http://sites.google.com/site/jeandaunizeauswebsite/links/resources (2015).

  29. Litt, A., Plassmann, H., Shiv, B. & Rangel, A. Dissociating valuation and saliency signals during decision-making. Cereb. Cortex 21, 95–102 (2011).

    Article  Google Scholar 

  30. Maunsell, J.H. Neuronal representations of cognitive state: reward or attention? Trends Cogn. Sci. 8, 261–265 (2004).

    Article  Google Scholar 

  31. Roesch, M.R. & Olson, C.R. Neuronal activity related to anticipated reward in frontal cortex: does it represent value or reflect motivation? Ann. NY Acad. Sci. 1121, 431–446 (2007).

    Article  Google Scholar 

  32. Chua, E.F., Schacter, D.L., Rand-Giovannetti, E. & Sperling, R.A. Understanding metamemory: neural correlates of the cognitive process and subjective level of confidence in recognition memory. Neuroimage 29, 1150–1160 (2006).

    Article  Google Scholar 

  33. Moritz, S., Glascher, J., Sommer, T., Buchel, C. & Braus, D.F. Neural correlates of memory confidence. Neuroimage 33, 1188–1193 (2006).

    Article  Google Scholar 

  34. Schwarze, U., Bingel, U., Badre, D. & Sommer, T. Ventral striatal activity correlates with memory confidence for old- and new-responses in a difficult recognition test. PLoS ONE 8, e54324 (2013).

    Article  CAS  Google Scholar 

  35. White, T.P., Engen, N.H., Sørensen, S., Overgaard, M. & Shergill, S.S. Uncertainty and confidence from the triple-network perspective: voxel-based meta-analyses. Brain Cogn. 85, 191–200 (2014).

    Article  Google Scholar 

  36. Costa, V.D., Lang, P.J., Sabatinelli, D., Versace, F. & Bradley, M.M. Emotional imagery: assessing pleasure and arousal in the brain's reward circuitry. Hum. Brain Mapp. 31, 1446–1457 (2010).

    Article  Google Scholar 

  37. Elliott, R., Newman, J.L., Longe, O.A. & Deakin, J.F.W. Differential response patterns in the striatum and orbitofrontal cortex to financial reward in humans: a parametric functional magnetic resonance imaging study. J. Neurosci. 23, 303–307 (2003).

    Article  CAS  Google Scholar 

  38. Cooper, J.C. & Knutson, B. Valence and salience contribute to nucleus accumbens activation. Neuroimage 39, 538–547 (2008).

    Article  Google Scholar 

  39. Levy, D. & Glimcher, P.W. The root of all value: a neural common currency for choice. Curr. Opin. Neurosci. 22, 1027–1038 (2012).

    Article  CAS  Google Scholar 

  40. de Gardelle, V. & Mamassian, P. Does confidence use a common currency across two visual tasks? Psychol. Sci. 25, 1286–1288 (2014).

    Article  Google Scholar 

  41. Daunizeau, J. On the exponential, sigmoid and softmax mappings http://sites.google.com/site/jeandaunizeauswebsite/links/resources (2014).

  42. Deichmann, R., Gottfried, J., Hutton, C. & Turner, R. Optimized EPI for fMRI studies of the orbitofrontal cortex. Neuroimage 19, 430–441 (2003).

    Article  CAS  Google Scholar 

  43. Friston, K.J., Penny, W.D. & Glaser, D.E. Conjunction revisited. Neuroimage 25, 661–667 (2005).

    Article  Google Scholar 

Download references

Acknowledgements

The study was funded by a Starting Grant for the European Research Council (ERC-BioMotiv) and a Research Grant from the Schlumberger Foundation. M.L. received a PhD fellowship from the French Ministère de la Recherche and an Amsterdam Brain and Cognition Talent Grant from the University of Amsterdam. R.A. received a PhD fellowship from the Direction Générale de l'Armement and a grant from the Fondation pour la Recherche Médicale. This work also benefited from the program “Investissements d'avenir” (ANR-10-IAIHU-06). The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript.

Author information

Authors and Affiliations

Authors

Contributions

M.L. and M.P. designed all experiments. M.L. and R.A. collected the data. M.L. performed the data analysis. J.D. formalized the computational model. M.L. and M.P. wrote the manuscript. All authors discussed the results and commented the manuscript.

Corresponding author

Correspondence to Mathias Pessiglione.

Ethics declarations

Competing interests

The authors declare no competing financial interests.

Supplementary information

Supplementary Text and Figures

Supplementary Table 1 (PDF 35 kb)

Supplementary Checklist

(PDF 232 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lebreton, M., Abitbol, R., Daunizeau, J. et al. Automatic integration of confidence in the brain valuation signal. Nat Neurosci 18, 1159–1167 (2015). https://doi.org/10.1038/nn.4064

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/nn.4064

This article is cited by

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing