Self-reported strategies in decisions under risk: role of feedback, reasoning abilities, executive functions, short-term-memory, and working memory

Cognitive Processing

Volumn 16, Issue 4, 2015, Pages 401-416

  Schiebener, Johannes ^a   Brand, Matthias ^a,b  

^a UNIVERSITY OF DUISBURG ESSEN   (Germany)

^b ERWIN L HAHN INSTITUTE FOR MAGNETIC RESONANCE IMAGING   (Germany)

Author keywords

Decisions under risk; Executive functions; Feedback; Reasoning; Strategies; Working memory

Indexed keywords

ADULT; ANALYSIS OF VARIANCE; ARTICLE; CARD GUESSING GAME; COGNITION; CONTROLLED STUDY; DECISION MAKING; EFFECT SIZE; EMOTIONALITY; EXECUTIVE FUNCTION; EXECUTIVE FUNCTION TEST; FEEDBACK SYSTEM; FEMALE; GAME OF DICE TASK; HUMAN; HUMAN EXPERIMENT; MALE; MENTAL TASK; NEUROPSYCHOLOGICAL TEST; NORMAL HUMAN; PRIORITY JOURNAL; PROBABILITY; PSYCHOLOGICAL THEORY; QUESTIONNAIRE; SELF REPORT; SHORT TERM MEMORY; WORKING MEMORY; ADAPTIVE BEHAVIOR; ADOLESCENT; GAME; HIGH RISK BEHAVIOR; MIDDLE AGED; PHYSIOLOGY; YOUNG ADULT;

ADOLESCENT; ADULT; DECISION MAKING; EXECUTIVE FUNCTION; FEEDBACK, PSYCHOLOGICAL; FEMALE; GAMES, EXPERIMENTAL; HUMANS; MALE; MEMORY, SHORT-TERM; MIDDLE AGED; NEUROPSYCHOLOGICAL TESTS; PROBABILITY; RISK-TAKING; SELF REPORT; YOUNG ADULT;

EID: 84947495551     PISSN: 16124782     EISSN: 16124790     Source Type: Journal    
DOI: 10.1007/s10339-015-0665-1     Document Type: Article

References (75)

1. Appelt KC, Milch KF, Handgraaf MJJ, Weber EU (2011) The decision making individual differences inventory and guidelines for the study of individual differences in judgment and decision-making research. Judgm Decis Mak 6:252–262
2. Baddeley A (2012) Working memory: theories, models, and controversies. Annu Rev Psychol 63:1–29. doi:10.1146/annurev-psych-120710-100422
3. Baddeley AD, Hitch G (1974) Working memory. In: Bower GA (ed) The psychology of learning and motivation. Academic Press, New York, pp 47–89
4. Bauer P, Bauer MM (1994) Testing equivalence simultaneously for location and dispersion of two normally distributed populations. Biom J 36:643–660. doi:10.1002/bimj.4710360602
5. Bayard S, Raffard S, Gely-Nargeot M-C (2011) Do facets of self-reported impulsivity predict decision-making under ambiguity and risk? Evidence from a community sample. Psychiatry Res 190:322–326. doi:10.1016/j.psychres.2011.06.013
6. Bechara A (2005) Decision making, impulse control and loss of willpower to resist drugs: a neurocognitive perspective. Nat Neurosci 8:1458–1463. doi:10.1038/nn1584
7. Bechara A, Damasio AR (2005) The somatic marker hypothesis: a neural theory of economic decision. Games Econ Behav 52:336–372. doi:10.1016/j.geb.2004.06.010
8. Bechara A, Damasio AR, Damasio H, Anderson SW (1994) Insensitivity to future consequences following damage to human prefrontal cortex. Cognition 50:7–15. doi:10.1016/0010-0277(94)90018-3
9. Bechara A, Damasio H, Tranel D, Damasio AR (1997) Deciding advantageously before knowing the advantageous strategy. Science 275:1293–1295. doi:10.1126/science.275.5304.1293
10. Bechara A, Damasio H, Damasio AR (2003) Role of the amygdala in decision-making. Ann N Y Acad Sci 985:356–369. doi:10.1111/j.1749-6632.2003.tb07094.x
11. Beglinger LJ et al (2008) Obsessive and compulsive symptoms in prediagnosed Huntington’s disease. J Clin Psychiatry 69:1758–1765. doi:10.1016/0010-440X(95)90092-A
12. Boller JK et al (2014) Decision-making under risk is improved by both dopaminergic medication and subthalamic stimulation in Parkinson’s disease. Exp Neurol 254:70–77. doi:10.1016/j.expneurol.2014.01.005
13. Brand M (2008) Does the feedback from previous trials influence current decisions? A study on the role of feedback processing in making decisions under explicit risk conditions. J Neuropsychol 2:431–443. doi:10.1348/174866407x220607
14. Brand M, Schiebener J (2013) Interactions of age and cognitive functions in predicting decision making under risky conditions over the life span. J Clin Exp Neuropsychol 35:9–23. doi:10.1080/13803395.2012.740000
15. Brand M et al (2004) Decision-making impairments in patients with Parkinson’s disease. Behav Neurol 15:77–85. doi:10.1155/2004/578354
16. Brand M, Fujiwara E, Borsutzky S, Kalbe E, Kessler J, Markowitsch HJ (2005) Decision-making deficits of Korsakoff patients in a new gambling task with explicit rules: associations with executive functions. Neuropsychology 19:267–277. doi:10.1037/0894-4105.19.3.267
17. Brand M, Labudda K, Markowitsch HJ (2006) Neuropsychological correlates of decision-making in ambiguous and risky situations. Neural Netw 19:1266–1276. doi:10.1016/j.neunet.2006.03.001
18. Brand M, Heinze K, Labudda K, Markowitsch HJ (2008) The role of strategies in deciding advantageously in ambiguous and risky situations. Cogn Process 9:159–173. doi:10.1007/s10339-008-0204-4
19. Brand M, Laier C, Pawlikowski M, Markowitsch HJ (2009) Decision making with and without feedback: the role of intelligence, strategies, executive functions, and cognitive styles. J Clin Exp Neuropsychol 31:984–998. doi:10.1080/13803390902776860
20. Brand M, Schiebener J, Pertl M-T, Delazer M (2014) Know the risk, take the win: how executive functions and probability processing influence advantageous decision making under risk conditions. J Clin Exp Neuropsychol 36:914–929. doi:10.1080/13803395.2014.955783
21. Braver TS, Cohen JD, Nystrom LE, Jonides J, Smith EE, Noll DC (1997) A parametric study of prefrontal cortex involvement in human working memory. Neuroimage 5:49–62. doi:10.1006/nimg.1996.0247
22. Brevers D, Cleeremans A, Bechara A, Greisen M, Kornreich C, Verbanck P, Noël X (2012) Impaired metacognitive capacities in individuals with problem gambling. J Gambl Stud. doi:10.1007/s10899-012-9348-3
23. Buelow MT (2014) Predicting performance on the Columbia card task effects of personality characteristics, mood, and executive functions. Assessment. doi:10.1177/1073191114539383
24. Chen X et al (2014) Decision-making impairments in breast cancer patients treated with tamoxifen. Horm Behav 66:449–456. doi:10.1016/j.yhbeh.2014.07.005
25. Cokely ET, Kelley CM (2009) Cognitive abilities and superior decision making under risk: a protocol analysis and process model evaluation. Judgm Decis Mak 4:20–33. doi:10.1016/j.jbankfin.2009.04.001
26. Damasio AR (1994) Descartes’ error: emotion, reason, and the human brain. Grosset/Putnam, New York
27. Delazer M, Sinz H, Zamarian L, Benke T (2007) Decision-making with explicit and stable rules in mild Alzheimer’s disease. Neuropsychologia 45:1632–1641. doi:10.1016/j.neuropsychologia.2007.01.006
28. Delazer M et al (2009) Decision making under risk and under ambiguity in Parkinson’s disease. Neuropsychologia 47:1901–1908. doi:10.1016/j.neuropsychologia.2009.02.034
29. Dirnberger G, Jahanshahi M (2013) Executive dysfunction in Parkinson’s disease: a review. J Neuropsychol 7:193–224. doi:10.1111/jnp.12028
30. Donati MA, Panno A, Chiesi F (2014) A mediation model to explain decision making under conditions of risk among adolescents: the role of fluid intelligence and probabilistic reasoning. J Clin Exp Neuropsychol 36:588–595. doi:10.1080/13803395.2014.918091
31. Dunn BD, Dalgleish T, Lawrence AD (2006) The somatic marker hypothesis: a critical evaluation. Neurosci Biobehav Rev 30:239–271. doi:10.1016/j.neubiorev.2005.07.001
32. Euteneuer F et al (2009) Dissociation of decision-making under ambiguity and decision-making under risk in patients with Parkinson’s disease: a neuropsychological and psychophysiological study. Neuropsychologia 47:2882–2890. doi:10.1016/j.neuropsychologia.2009.06.014
33. Evans JS (2003) In two minds: dual-process accounts of reasoning. Trends Cogn Sci 7:454–459. doi:10.1016/j.tics.2003.08.012
34. Figner B, Weber EU (2011) Who takes risks when and why? Determinants of risk taking. Curr Dir Psychol Sci 20:211–216. doi:10.1177/0963721411415790
35. Figner B, Mackinlay RJ, Wilkening F, Weber EU (2009) Affective and deliberative processes in risky choice: age differences in risk taking in the Columbia card task. J Exp Psychol Learn Mem Cogn 35:709–730. doi:10.1037/a0014983
36. Gal I, Baron J (1996) Understanding repeated simple choices. Think Reason 2:81–98
37. Gathmann B, Pawlikowski M, Schöler T, Brand M (2014) Performing a secondary executive task with affective stimuli interferes with decision making under risk conditions. Cogn Process 15:113–126. doi:10.1007/s10339-013-0584-y
38. Gathmann B, Schiebener J, Wolf OT, Brand M (2015) Monitoring supports performance in a dual-task paradigm involving a risky decision-making task and a working memory task. Front Psychol 6:142. doi:10.3389/fpsyg.2015.00142
39. Gray JR, Chabris CF, Braver TS (2003) Neural mechanisms of general fluid intelligence. Nat Neurosci 6:316–322. doi:10.1038/nn1014
40. Hegarty M, Kozhevnikov M (1999) Types of visual–spatial representations and mathematical problem solving. J Educ Psychol 91:684. doi:10.1037/0022-0663.91.4.684
41. Horn W (1983) Leistungsprüfsystem [German intelligence test battery]. Hogrefe, Göttingen
42. Imhoff R, Schmidt AF, Gerstenberg F (2013) Exploring the interplay of trait self-control and ego depletion: empirical evidence for ironic effects. Eur J Pers 28:413–424. doi:10.1002/per.1899
43. Jurado M, Rosselli M (2007) The elusive nature of executive functions: a review of our current understanding. Neuropsychol Rev 17:213–233. doi:10.1007/s11065-007-9040-z
44. Kahneman D (2003) A perspective on judgment and choice: mapping bounded rationality. Am Psychol 58:697–720. doi:10.1037/0003-066X.58.9.697
45. Maia TV, McClelland JL (2004) A reexamination of the evidence for the somatic marker hypothesis: What participants really know in the Iowa gambling task. Proc Natl Acad Sci USA 101:16075–16080. doi:10.1073/pnas.0406666101
46. Metcalfe J, Mischel W (1999) A hot/cool-system analysis of delay of gratification: dynamics of willpower. Psychol Rev 106:3–19. doi:10.1037/0033-295x.106.1.3
47. Miyake A, Friedman NP (2012) The nature and organization of individual differences in executive functions: four general conclusions. Curr Dir Psychol Sci 21:8–14. doi:10.1177/0963721411429458
48. Miyake A, Friedman NP, Emerson MJ, Witzki AH, Howerter A, Wager TD (2000) The unity and diversity of executive functions and their contributions to complex “Frontal Lobe” tasks: a latent variable analysis. Cogn Psychol 41:49–100. doi:10.1006/cogp.1999.0734
49. Nakagawa S (2004) A farewell to Bonferroni: the problems of low statistical power and publication bias. Behav Ecol 15:1044–1045. doi:10.1093/beheco/arh107
50. Nelson HE (1976) A Modified Card Sorting Test sensitive to frontal lobe defects. Cortex 12:313–324. doi:10.1016/s0010-9452(76)80035-4
51. Norman DA, Shallice T (1986) Attention to action: willed and automatic control of behavior. In: Davidson RJ, Schwartz GE, Shapiro D (eds) Consciousness and self-regulation. Springer, New York, pp 1–18
52. Perneger TV (1998) What’s wrong with Bonferroni adjustments. BMJ 316:1236–1238. doi:10.1136/bmj.316.7139.1236
53. Rogers RD et al (1999a) Dissociable deficits in the decision-making cognition of chronic amphetamine abusers, opiate abusers, patients with focal damage to prefrontal cortex, and tryptophan-depleted normal volunteers: evidence for monoaminergic mechanisms. Neuropsychopharmacology 20:322–339. doi:10.1016/s0893-133x(98)00091-8
54. Rogers RD, Owen AM, Middleton HC, Williams EJ, Pickard JD, Sahakian BJ, Robbins TW (1999b) Choosing between small, likely rewards and large, unlikely rewards activates inferior and orbital prefrontal cortex. J Neurosci 20:9029–9038
55. Rosen J, Brand M, Polzer C, Ebersbach G, Kalbe E (2013) Moral decision-making and theory of mind in patients with idiopathic Parkinson’s disease. Neuropsychology 27:562–572. doi:10.1037/a0033595
56. Schiebener J, Brand M (2015) Decision making under objective risk conditions—a review of cognitive and emotional correlates, strategies, feedback processing, and external influences. Neuropsychol Rev 25:171–198. doi:10.1007/s11065-015-9285-x
57. Schiebener J, Zamarian L, Delazer M, Brand M (2011) Executive functions, categorization of probabilities, and learning from feedback: What does really matter for decision making under explicit risk conditions? J Clin Exp Neuropsychol 33:1025–1039. doi:10.1080/13803395.2011.595702
58. Schiebener J, Wegmann E, Pawlikowski M, Brand M (2012) Anchor effects in decision making can be reduced by the interaction between goal monitoring and the level of the decision maker’s executive functions. Cogn Process 13:321–332. doi:10.1007/s10339-012-0522-4
59. Schiebener J, Wegmann E, Pawlikowski M, Brand M (2013) Supporting decisions under risk: explicit advice differentially affects people according to their working memory performance and executive functioning. Neurosci Decis Mak 1:9–18. doi:10.2478/ndm-2013-0002
60. Schiebener J, Wegmann E, Gathmann B, Laier C, Pawlikowski M, Brand M (2014a) Among three different executive functions, general executive control ability is a key predictor of decision making under objective risk. Front Psychol 5:1386. doi:10.3389/fpsyg.2014.01386
61. Schiebener J, Wegmann E, Pawlikowski M, Brand M (2014b) Effects of goals on decisions under risk conditions: goals can help to make better choices, but relatively high goals increase risk-taking J. Cogn Psychol 26:473–485. doi:10.1080/20445911.2014.903254
62. Schoofs D, Preuss D, Wolf OT, Preuß D (2008) Psychosocial stress induces working memory impairments in an n-back paradigm. Psychoneuroendocrinology 33:643–653. doi:10.1016/j.psyneuen.2008.02.004
63. Shanks DR, Tunney RJ, McCarthy JD (2002) A re-examination of probability matching and rational choice. J Behav Decis Mak 15:233–250. doi:10.1002/bdm.413
64. Sinz H, Zamarian L, Benke T, Wenning GK, Delazer M (2008) Impact of ambiguity and risk on decision making in mild Alzheimer’s disease. Neuropsychologia 46:2043–2055. doi:10.1016/j.neuropsychologia.2008.02.002
65. Smith EE, Jonides J (1999) Storage and executive processes in the frontal lobes. Science 283:1657–1661. doi:10.1126/science.283.5408.1657
66. Stanovich KE, West RF (2003) Is probability matching smart? Associations between probabilistic choices and cognitive ability. Mem Cogn 31:243–251. doi:10.3758/BF03194383
67. Starcke K, Tuschen-Caffier B, Markowitsch HJ, Brand M (2010) Dissociation of decisions in ambiguous and risky situations in obsessive-compulsive disorder. Psychiatry Res 175:114–120. doi:10.1016/j.psychres.2008.10.022
68. Starcke K, Pawlikowski M, Wolf OT, Altstötter-Gleich C, Brand M (2011) Decision making under risk conditions is susceptible to interference by a secondary executive task. Cogn Process 12:177–182. doi:10.1007/s10339-010-0387-3
69. van Garderen D (2006) Spatial visualization, visual imagery, and mathematical problem solving of students with varying abilities. J Learn Disabil 39:496–506. doi:10.1177/00222194060390060201
70. Wechsler D (1987) Wechsler Memory Scale-Revised Manual. The Psychological Corporation, San Antonio
71. Weller JA, Fisher PA (2013) Decision-making deficits among maltreated children. Child Maltreat 18:184–194. doi:10.1177/1077559512467846
72. Weller JA, Irwin P, Denburg NL, Levin IP (2011) Trajectory of risky decision making for potential gains and losses from ages 5 to 85. J Behav Decis Mak 344:331–344. doi:10.1002/bdm
73. Werheid K, Hoppe C, Thöne A, Müller U, Müngersdorf M, von Cramon DY (2002) The adaptive digit ordering test: clinical application, reliability, and validity of a verbal working memory test. Arch Clin Neuropsychol 17:547–565
74. Xi C et al (2014) Theory of mind and decision-making processes are impaired in Parkinson’s disease. Behav Brain Res. doi:10.1016/j.bbr.2014.11.035
75. Yao YW et al (2014) Failure to utilize feedback causes decision-making deficits among excessive Internet gamers. Psychiatry Res 219:583–588. doi:10.1016/j.psychres.2014.06.033