Nonlinear neurobiological probability weighting functions for aversive outcomes

While mainstream economic models assume that individuals treat probabilities objectively, many people tend to overestimate the likelihood of improbable events and underestimate the likelihood of probable events. However, a biological account for why probabilities would be treated this way does not yet exist. While undergoing fMRI, we presented individuals with a series of lotteries, defined by the voltage of an impending cutaneous electric shock and the probability with which the shock would be received. During the prospect phase, neural activity that tracked the probability of the expected outcome was observed in a circumscribed network of brain regions that included the anterior cingulate, visual, parietal, and temporal cortices. Most of these regions displayed responses to probabilities consistent with nonlinear probability weighting. The neural responses to passive lotteries predicted 79% of subsequent decisions when individuals were offered choices between different lotteries, and exceeded that predicted by behavior alone near the indifference point.

[1]  M. Botvinick,et al.  Conflict monitoring and cognitive control. , 2001, Psychological review.

[2]  A. Tversky,et al.  Advances in prospect theory: Cumulative representation of uncertainty , 1992 .

[3]  Richard Gonzalez,et al.  Curvature of the Probability Weighting Function , 1996 .

[4]  J. Hey,et al.  INVESTIGATING GENERALIZATIONS OF EXPECTED UTILITY THEORY USING EXPERIMENTAL DATA , 1994, Experiments in Economics.

[5]  R. Schubert,et al.  Gender, Financial Risk, and Probability Weights , 2006 .

[6]  Uta Frith,et al.  Theory of mind , 2001, Current Biology.

[7]  Colin Camerer,et al.  Neural Systems Responding to Degrees of Uncertainty in Human Decision-Making , 2005, Science.

[8]  Ravi S. Menon,et al.  Dissociating pain from its anticipation in the human brain. , 1999, Science.

[9]  E. Miller,et al.  An integrative theory of prefrontal cortex function. , 2001, Annual review of neuroscience.

[10]  A. Tversky,et al.  Prospect theory: an analysis of decision under risk — Source link , 2007 .

[11]  J. O'Doherty,et al.  Decoding the neural substrates of reward-related decision making with functional MRI , 2007, Proceedings of the National Academy of Sciences.

[12]  Mark J. Machina,et al.  Stochastic Choice Functions Generated from Deterministic Preferences over Lotteries , 1985 .

[13]  Jason P. Mitchell Activity in right temporo-parietal junction is not selective for theory-of-mind. , 2008, Cerebral cortex.

[14]  M. Abdellaoui Parameter-Free Elicitation of Utility and Probability Weighting Functions , 2000 .

[15]  M. Corbetta,et al.  Right TPJ deactivation during visual search: functional significance and support for a filter hypothesis. , 2007, Cerebral cortex.

[16]  A. Damasio The feeling of what happens , 2001 .

[17]  Joseph E LeDoux,et al.  Human Amygdala Activation during Conditioned Fear Acquisition and Extinction: a Mixed-Trial fMRI Study , 1998, Neuron.

[18]  David W Harless,et al.  The predictive utility of generalized expected utility theories , 1994 .

[19]  Michael L. Platt,et al.  Neural correlates of decision variables in parietal cortex , 1999, Nature.

[20]  Paul Glimcher,et al.  Review Decisions, Decisions, Decisions: Choosing a Biological Science of Choice Nally Designed...the Theory Requires That the Values of Different Outcomes (for Example, Financial Rewards, the Risks of Death and the Pleasures of a Clear Conscience) , 2022 .

[21]  I. Tracey Nociceptive processing in the human brain , 2005, Current Opinion in Neurobiology.

[22]  R. E Passingham,et al.  Inferring false beliefs from the actions of oneself and others: an fMRI study , 2004, NeuroImage.

[23]  Xiaoping P. Hu,et al.  Real‐time fMRI using brain‐state classification , 2007, Human brain mapping.

[24]  C. Starmer Developments in Non-expected Utility Theory: The Hunt for a Descriptive Theory of Choice under Risk , 2000 .

[25]  E. Rowland Theory of Games and Economic Behavior , 1946, Nature.

[26]  Debashis Kushary,et al.  Bootstrap Methods and Their Application , 2000, Technometrics.

[27]  G. Pagnoni,et al.  Neurobiological Substrates of Dread , 2006, Science.

[28]  R Saxe,et al.  People thinking about thinking people The role of the temporo-parietal junction in “theory of mind” , 2003, NeuroImage.

[29]  R. Woodruff,et al.  Confidence Intervals for Medians and Other Position Measures , 1952 .

[30]  Jr. Horacio Fabrega The Feeling of What Happens: Body and Emotion in the Making of Consciousness , 2000 .

[31]  Stéphane Robin,et al.  A comparison of hedonic rating and demand revealing auctions , 2004 .

[32]  A. Tversky,et al.  Prospect theory: analysis of decision under risk , 1979 .

[33]  S. Quartz,et al.  Neural Differentiation of Expected Reward and Risk in Human Subcortical Structures , 2006, Neuron.

[34]  Beate Sodian,et al.  Neural correlates of true and false belief reasoning , 2007, NeuroImage.

[35]  Lawrence R. Frank,et al.  Anterior cingulate activity modulates nonlinear decision weight function of uncertain prospects , 2006, NeuroImage.

[36]  Matthew T. Kaufman,et al.  Distributed Neural Representation of Expected Value , 2005, The Journal of Neuroscience.

[37]  Evan M. Gordon,et al.  Neural Signatures of Economic Preferences for Risk and Ambiguity , 2006, Neuron.

[38]  W. Newsome,et al.  Neural basis of a perceptual decision in the parietal cortex (area LIP) of the rhesus monkey. , 2001, Journal of neurophysiology.

[39]  M. Allais Le comportement de l'homme rationnel devant le risque : critique des postulats et axiomes de l'ecole americaine , 1953 .

[40]  David I. Laibson,et al.  Neuroeconomics : How Neuroscience Can Inform Economics , 2003 .

[41]  H. Critchley,et al.  Neural Activity in the Human Brain Relating to Uncertainty and Arousal during Anticipation , 2001, Neuron.

[42]  G. Berns,et al.  A shocking experiment: New evidence on probability weighting and common ratio violations , 2007, Judgment and Decision Making.

[43]  R. Duncan Luce,et al.  Individual Choice Behavior , 1959 .

[44]  Caroline F. Zink,et al.  Human striatal activation reflects degree of stimulus saliency , 2006, NeuroImage.

[45]  A. Craig,et al.  Pain mechanisms: labeled lines versus convergence in central processing. , 2003, Annual review of neuroscience.

[46]  G. Loewenstein,et al.  Neural Predictors of Purchases , 2007, Neuron.

[47]  A. Damasio The Feeling of What Happens: Body and Emotion in the Making of Consciousness , 1999 .

[48]  Chris D. Orme,et al.  Investigating Generalisations of Expected Utility Theory Using Experimental Data , 1994 .

[49]  D. Tranel,et al.  Psychophysiological anticipation of positive outcomes promotes advantageous decision-making in normal older persons. , 2006, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[50]  Paul Glimcher,et al.  Physiological utility theory and the neuroeconomics of choice , 2005, Games Econ. Behav..

[51]  Paul J Laurienti,et al.  The subjective experience of pain: where expectations become reality. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[52]  B. Vogt Pain and emotion interactions in subregions of the cingulate gyrus , 2005, Nature Reviews Neuroscience.