The neural basis of risky choice with affective outcomes

PLoS ONE

Volumn 10, Issue 4, 2015, Pages

  Suter, Renata S ^a   Pachur, Thorsten ^a   Hertwig, Ralph ^a   Endestad, Tor ^b   Biele, Guido ^b,c  

^a MAX PLANCK INSTITUTE FOR HUMAN DEVELOPMENT   (Germany)

^b UNIVERSITY OF OSLO   (Norway)

^c NORWEGIAN INSTITUTE OF PUBLIC HEALTH   (Norway)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; BEHAVIOR CHANGE; BRAIN FUNCTION; BRAIN NERVE CELL; BRAIN REGION; CELL FUNCTION; CONTROLLED STUDY; DATA ANALYSIS; DECISION MAKING; ELECTROENCEPHALOGRAM; FEMALE; FUNCTIONAL ASSESSMENT; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; HUMAN EXPERIMENT; IMAGE ANALYSIS; MALE; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MENTAL TASK; MOLECULAR DYNAMICS; NEUROIMAGING; OUTCOME ASSESSMENT; PROBABILITY; QUALITATIVE ANALYSIS; RISK FACTOR; SOCIAL PROBLEM; SOCIAL STATUS; STIMULUS RESPONSE; TASK PERFORMANCE; YOUNG ADULT; AFFECT; BIOLOGICAL MODEL; BRAIN; BRAIN MAPPING; COMPUTER SIMULATION; HIGH RISK BEHAVIOR; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY;

ADULT; AFFECT; BRAIN; BRAIN MAPPING; CHOICE BEHAVIOR; COMPUTER SIMULATION; DECISION MAKING; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MODELS, NEUROLOGICAL; RISK-TAKING; YOUNG ADULT;

EID: 84926435474     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0122475     Document Type: Article

References (63)

1. Bernoulli D. Exposition of a new theory on the measurement of risk. Econometrica. 1954; 22: 23-36. Original work published 1738.
2. Kahneman D, Tversky A. Prospect theory: An analysis of decision under risk. Econometrica. 1979; 47: 263-291.
3. Greene JD, Sommerville RB, Nystrom LE, Darley JM, Cohen JD. An fMRI investigation of emotional engagement in moral judgment. Science. 2001; 293: 2105-2108. PMID: 11557895
4. Vroom VH. Work and motivation. New York, NY: Wiley; 1964.
5. Rotter JB. Social learning and clinical psychology. Englewood Cliffs, NJ: Prentice Hall; 1954.
6. Fishbein M, Ajzen I. Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison Wesley; 1975.
7. Becker MH. The health belief model and personal health behavior. Health Educ Monogr. 1974; 2: 324-508.
8. Pachur T, Hertwig R, Gigerenzer G, Brandstätter E. Testing process predictions of models of risky choice: A quantitative model comparison approach. Front Psychol. 2013; 4: 646. doi: 10.3389/fpsyg. 2013.00646 PMID: 24151472
9. Kuhnen CM, Knutson B. The neural basis of financial risk taking. Neuron. 2005; 47: 763-770. PMID: 16129404
10. Mohr PN, Biele G, Heekeren HR. Neural processing of risk. J Neurosci. 2010; 30: 6613-6619. doi: 10. 1523/JNEUROSCI.0003-10.2010 PMID: 20463224
11. Preuschoff K, Bossaerts P, Quartz SR. Neural differentiation of expected reward and risk in human subcortical structures. Neuron. 2006; 51: 381-390. PMID: 16880132
12. Rangel A, Camerer C, Montague PR. A framework for studying the neurobiology of value-based decision making. Nat Rev Neurosci. 2008; 9: 545-556. doi: 10.1038/nrn2357 PMID: 18545266
13. Tom SM, Fox CR, Trepel C, Poldrack RA. The neural basis of loss aversion in decision-making under risk. Science. 2007; 315: 515-518. PMID: 17255512
14. Tversky A, Kahneman D. Advances in prospect theory: Cumulative representation of uncertainty. J Risk Uncertain. 1992; 5: 297-323.
15. Loewenstein G, Weber E, Hsee C, Welch N. Risk as feelings. Psychol Bull. 2001; 127: 267-286. PMID: 11316014
16. Mellers BA. Choice and the relative pleasure of consequences. Psychol Bull. 2000; 126: 910-924. PMID: 11107882
17. Rottenstreich Y, Hsee CK. Money, kisses, and electric shocks: An affective psychology of risk. Psychol Sci. 2001; 12: 185-190. PMID: 11437299
18. Gurmankin Levy A, Baron J. How bad is a 10% chance of losing a toe? Judgments of probabilistic conditions by doctors and laypeople. Mem Cognit. 2005; 33: 1399-1406. PMID: 16615387
19. McGraw AP, Todorov A, Kunreuther H. A policy maker's dilemma: Preventing blame or preventing terrorism. Organ Behav Hum Decis Process. 2011; 115: 25-34.
20. Sunstein CR. Probability neglect: Emotions, worst cases, and law. The Yale Law Review. 2002; 112: 61-107.
21. Nygren TE, Isen AM, Taylor PJ, Dulin J. The influence of positive affect on the decision rule in risk situations: Focus on outcome (and especially avoidance of loss) rather than probability. Organ Behav Hum Dec. 1996; 66: 59-72.
22. Damasio H, Grabowski T, Frank R, Galaburda AM, Damasio AR. The return of Phineas Gage: Clues about the brain from the skull of a famous patient. Science. 1994; 264: 1102-1105. PMID: 8178168
23. Pachur T, Galesic M. Strategy selection in risky choice: The impact of numeracy, affect, and cross-cultural differences. J Behav Decis Mak. 2013; 26: 260-271.
24. Pachur T, Hertwig R, Wolkewitz R. The affect gap in risky choice: Affect-rich outcomes attenuate attention to probability information. Decision. 2014; 1: 64-78.
25. Hsee CK, Rottenstreich Y. Music, pandas, and muggers: On the affective psychology of value. J Exp Psychol Gen. 2004; 133: 23-30. PMID: 14979749
26. Hsu M, Krajbich I, Zhao C, Camerer CF. Neural response to reward anticipation under risk is nonlinear in probabilities. J Neurosci. 2009; 29: 2231-2237. doi: 10.1523/JNEUROSCI.5296-08.2009 PMID: 19228976
27. Gonzalez R, Wu G. On the shape of the probability weighting function. Cogn Psychol. 1999; 38: 129-166. PMID: 10090801
28. Qiu J, Steiger EM. Understanding the two components of risk attitudes: An experimental analysis. Manage Sci. 2011; 57: 193-199.
29. Sutton RS, Barto AG. Reinforcement learning: An introduction. Cambridge, MA: MIT Press; 1998.
30. Loomes G, Moffatt PG, Sugden R. A microeconometric test of alternative stochastic theories of risky choice. J Risk Uncertain. 2002; 24: 103-130.
31. Rieskamp J. The probabilistic nature of preferential choice. J Exp Psychol Learn Mem Cogn. 2008; 34: 1446-1465. doi: 10.1037/a0013646 PMID: 18980407
32. Schwarz G. Estimating the dimension of a model. Ann Stat. 1978; 6: 461-464.
33. Sokal RR, Rohlf FJ. Biometry. New York, NY: WH Freeman; 1994.
34. Nelder JA, Mead R. A simplex method for function minimization. Comput J. 1965; 7: 308-313.
35. Smith SM, Jenkinson M, Woolrich MW, Beckmann CF, Behrens TEJ, Johansen-Berg H, et al. Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage. 2004; 23: 208-219.
36. Jenkinson M, Beckmann CF, Behrens TEJ, Woolrich MW, Smith SM. FSL. Neuroimage. 2012; 62: 782-790. doi: 10.1016/j.neuroimage.2011.09.015 PMID: 21979382
37. Beckmann CF, Smith SM. Probabilistic independent component analysis for functional magnetic resonance imaging. IEEE Trans Med Imag. 2004; 23: 137-152. PMID: 14964560
38. Tohka J, Foerde K, Aron AR, Tom SM, Toga AW, Poldrack RA. Automatic independent component labeling for artifact removal in fMRI. Neuroimage. 2008; 39: 1227-1245. PMID: 18042495
39. Smith SM. Fast robust automated brain extraction. Hum Brain Mapp. 2002; 17: 143-155. PMID: 12391568
40. Andersson JLR, Jenkinson M, Smith S. Non-linear registration, aka spatial normalisation. FMRIB technical report TR07JA2; 2007.
41. Woolrich MW, Jbabdi S, Patenaude B, Chappell M, Makni S, Behrens T, et al. Bayesian analysis of neuroimaging data in FSL. Neuroimage. 2009; 45: 173-186.
42. Ward BD. Simultaneous inference for fMRI data. Biophysics Research Institute, Medical College of Wisconsin; 2000.
43. Henson R. Forward inference using functional neuroimaging: Dissociations versus associations. Trends Cogn Sci. 2006; 10: 64-69. PMID: 16406759
44. Nichols T, Brett M, Andersson J, Wager T, Poline J-B. Valid conjunction inference with the minimum statistic. Neuroimage. 2005; 25: 653-660. PMID: 15808966
45. Poldrack RA, Kittur A, Kalar D, Miller E, Seppa C, Gil Y, et al. The Cognitive Atlas: Towards a knowledge foundation for cognitive neuroscience. Front Neuroinform. 2011; 5. doi: 10.3389/fninf.2011.00017
46. Laird AR, Lancaster JL, Fox PT. BrainMap: The social evolution of a functional neuroimaging database. Neuroinformatics. 2005; 3: 65-78. PMID: 15897617
47. Fox PT, Laird AR, Fox SP, Fox PM, Uecker AM, Crank M, et al. BrainMap taxonomy of experimental design: Description and evaluation. Hum Brain Mapp. 2005; 25: 185-198. PMID: 15846810
48. Yarkoni T, Poldrack RA, Nichols TE, Van Essen DC, Wager TD. Large-scale automated synthesis of human functional neuroimaging data. Nat Methods. 2011; 8: 665-670. doi: 10.1038/nmeth.1635 PMID: 21706013
49. Bates DM, Maechler M, Bolker B. lme4: Linear mixed-effects models using S4 classes. R package version 0.999999- 0; 2012.
50. Holm S. A simple sequentially rejective multiple test procedure. Scand J Statist. 1979; 6: 65-70.
51. O 'Doherty JP, Hampton A, Kim H. Model-based fMRI and its application to reward learning and decision making. Ann N Y Acad Sci. 2007; 1104: 35-53. PMID: 17416921
52. Venkatraman V, Payne JW, Bettman JR, Luce MF, Huettel SA. Separate neural mechanisms underlie choices and strategic preferences in risky decision making. Neuron. 2009; 62: 593-602. doi: 10.1016/j. neuron.2009.04.007 PMID: 19477159
53. Goldstein WM, Weber EU. Content and discontent: Indications and implications of domain specificity in preferential decision making. Psychol Learn Motiv. 1995; 32: 83-136.
54. Loewenstein G, Rick S, Cohen JD. Neuroeconomics. Annu Rev Psychol. 2008; 59: 647-672. PMID: 17883335
55. Schultz W. Behavioral theories and the neurophysiology of reward. Annu Rev Psychol. 2006; 57: 87-115. PMID: 16318590
56. Schultz W, Preuschoff K, Camerer C, Hsu M, Fiorillo CD, Tobler PN, Bossaerts P. Explicit neural signals reflecting reward uncertainty. Philos Trans R Soc Lond B Biol Sci. 2008; 363: 3801-3811. doi: 10. 1098/rstb.2008.0152 PMID: 18829433
57. Trepel C, Fox CR, Poldrack RA. Prospect theory on the brain? Toward a cognitive neuroscience of decision under risk. Cogn Brain Res. 2005; 23: 34-50. PMID: 15795132
58. Bell DE. Regret in decision making under uncertainty. Oper Res. 1982; 30: 961-981.
59. Coricelli G, Critchley HD, Joffily M, O'Doherty JP, Sirigu A, Dolan RJ. Regret and its avoidance: a neuroimaging study of choice behavior. Nat Neurosci. 2005; 8: 1255-1262. PMID: 16116457
60. Palminteri S, Justo D, Jauffret C, Pavlicek B, Dauta A, Delmaire C, et al. Critical roles for anterior insula and dorsal striatum in punishment-based avoidance learning. Neuron. 2012; 76: 998-1009. doi: 10. 1016/j.neuron.2012.10.017 PMID: 23217747
61. Loomes G, Sugden R. Regret theory: An alternative of rational choice under uncertainty. Econ J. 1982; 92: 805-824.
62. Galesic M, Garcia-Retamero R, Gigerenzer G. Using icon arrays to communicate medical risks: Overcoming low numeracy. Health Psychol. 2009; 28: 210-216. doi: 10.1037/a0014474 PMID: 19290713
63. Spiegelhalter D, Pearson M, Short I. Visualizing uncertainty about the future. Science. 2011; 333: 1393-1400. doi: 10.1126/science.1191181 PMID: 21903802