Discounting preferences and response consistency as markers of functional ability in community-dwelling older adults

REFERENCES

• Acker, J., Amlung, M., Stojek, M., Murphy, J. G., & MacKillop, J. (2012). Individual variation in behavioral economic indices of the relative value of alcohol: Incremental validity in relation to impulsivity, craving, and intellectual functioning. Journal of Experimental Psychopathology, 3(3), 423–436.
   Google Scholar
• Albert, M. S., DeKosky, S. T., Dickson, D., Dubois, B., Feldman, H. H., Fox, N. C., … Phelps, C. H. (2011). The diagnosis of mild cognitive impairment due to Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association, 7(3), 270–279.
   PubMed Web of Science ®Google Scholar
• Allaire, J. C., & Marsiske, M. (2002). Well- and ill-defined measures of everyday cognition: Relationship to older adults’ intellectual ability and functional status. Psychology and Aging, 17(1), 101–115. doi:10.1037/0882-7974.17.1.101
   PubMed Web of Science ®Google Scholar
• Amlung, M., & MacKillop, J. (2011). Delayed reward discounting and alcohol misuse: The roles of response consistency and reward magnitude. Journal of Experimental Psychopathology, 2(3), 418–431. doi:10.5127/jep.017311
   Google Scholar
• Amlung, M., Sweet, L. H., Acker, J., Brown, C. L., & MacKillop, J. (2014). Dissociable brain signatures of choice conflict and immediate reward preferences in alcohol use disorders. Addiction Biology, 19(4), 743–753. doi:10.1111/adb.12017
   Google Scholar
• Arentoft, A., Thames, A., Panos, S., Patel, S., & Hinkin, C. H. (2013). A deconstruction of gambling task performance among HIV+ individuals: The differential contributions of problem solving and risk taking. Journal of Clinical & Experimental Neuropsychology, 35(10), 1036–1047. doi:10.1080/13803395.2013.848842
   PubMed Web of Science ®Google Scholar
• Banich, M. T. (2009). Executive function: The search for an integrated account. Current Directions in Psychological Science, 18(2), 89–94. doi:10.1111/j.1467-8721.2009.01615.x
   Web of Science ®Google Scholar
• Bedard, M., Squire, L., Minthorn-Biggs, M.-B., Molloy, D. W., Dubois, S., O’Donnell, M., & Lever, J. A. (2003). Validity of self-reports in dementia research. Clinical Gerontologist, 26(3–4), 155–163. doi:10.1300/J018v26n03_13
   Google Scholar
• Berkman, C. S., & Gurland, B. J. (1998). The relationship among income, other socioeconomic indicators, and functional level in older persons. Journal of Aging and Health, 10(1), 81–98. doi:10.1177/089826439801000105
   PubMed Web of Science ®Google Scholar
• Bickel, W. K., Marsch, L. A., & Carroll, M. E. (2000). Deconstructing relative reinforce efficacy and situating the measures of reinforcement with behavioral economics: A theoretical proposal. Psychopharmacology, 153, 44–56.
   PubMed Web of Science ®Google Scholar
• Bickel, W. K., & Yi, R. (2008). Temporal discounting as a measure of executive function: Insights from the competing neuro-behavioral decision system hypothesis of addiction. Advances in Health Economics and Health Services Research, 20, 289–309.
   PubMedGoogle Scholar
• Brown, T. C., Kingsley, D., Peterson, G. L., Flores, N. E., Clarke, A., & Birjulin, A. (2008). Reliability of individual valuations of public and private goods: Choice consistency, response time, and preference refinement. Journal of Public Economics, 92(7), 1595–1606.
   Web of Science ®Google Scholar
• Burdick, D. J., Rosenblatt, A., Samus, Q. M., Steele, C., Baker, A., Harper, M., … Lyketsos, C. G. (2005). Predictors of functional impairment in residents of assisted-living facilities: The Maryland Assisted Living Study. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 60(2), 258–264. doi:10.1093/gerona/60.2.258
   PubMed Web of Science ®Google Scholar
• Cahn-Weiner, D. A., Boyle, P. A., & Malloy, P. F. (2002). Tests of executive function predict instrumental activities of daily living in community-dwelling older individuals. Applied Neuropsychology, 9(3), 187–191. doi:10.1207/S15324826AN0903_8
   PubMedGoogle Scholar
• Covinsky, K. E., Newcomer, R., Fox, P., Wood, J., Sands, L., Dane, K., & Yaffe, K. (2003). Patient and caregiver characteristics associated with depression in caregivers of patients with dementia. Journal of General Internal Medicine, 18(12), 1006–1014. doi:10.1111/j.1525-1497.2003.30103.x
   PubMed Web of Science ®Google Scholar
• Cummings, S. M. (2002). Predictors of psychological well-being among assisted-living residents. Health & Social Work, 27(4), 293–302. doi:10.1093/hsw/27.4.293
   PubMed Web of Science ®Google Scholar
• Dassel, K. B., & Schmitt, F. A. (2008). The impact of caregiver executive skills on reports of patient functioning. The Gerontologist, 48(6), 781–792. doi:10.1093/geront/48.6.781
   PubMed Web of Science ®Google Scholar
• Delazer, M., Sinz, H., Zamarian, L., Stockner, H., Seppi, K., Wenning, G. K., … Poewe, W. (2009). Decision making under risk and under ambiguity in Parkinson’s disease. Neuropsychologia, 47(8–9), 1901–1908. doi:10.1016/j.neuropsychologia.2009.02.034
   PubMed Web of Science ®Google Scholar
• Denburg, N. L., Friedrichsen, H. J., Hornaday, A., Kaup, A. R., Yamada, T. H., Bechara, A., & Tranel, D. (2005, November). Poor performance on the Iowa Gambling Task predicts neuropsychological decline in a longitudinal study of older adults. Poster session presented at the Annual Meeting of the Society for Neuroscience, Washington, DC.
   Google Scholar
• Depp, C. A., & Jeste, D. V. (2009). Definitions and predictors of successful aging: A comprehensive review of larger quantitative studies. FOCUS: The Journal of Lifelong Learning in Psychiatry, 7(1), 137–150.
   Google Scholar
• Estle, S. J., Green, L., Myerson, J., & Holt, D. D. (2006). Differential effects of amount on temporal and probability discounting of gains and losses. Memory & Cognition, 34(4), 914–928. doi:10.3758/BF03193437
   PubMed Web of Science ®Google Scholar
• Farias, S. T., Cahn-Weiner, D. A., Harvey, D. J., Reed, B. R., Mungas, D., Kramer, J. H., & Chui, H. (2009). Longitudinal changes in memory and executive functioning are associated with longitudinal change in instrumental activities of daily living in older adults. The Clinical Neuropsychologist, 23(3), 446–461. doi:10.1080/13854040802360558
   PubMed Web of Science ®Google Scholar
• Fogel, J. F., Hyman, R. B., Rock, B., & Wolf-Klein, G. (2000). Predictors of hospital length of stay and nursing home placement in an elderly medical population. Journal of the American Medical Directors Association, 1(5), 202–210.
   PubMedGoogle Scholar
• Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975). “Mini-Mental State”: A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12, 189–198.
   PubMed Web of Science ®Google Scholar
• Folstein, M., Folstein, M., McHugh, P. R., & Fanjiang, G. (2000). The Mini-Mental State Examination. Odessa, FL: Psychological Assessment Resources.
   Google Scholar
• Green, L., Myerson, J., Lichtman, D., Rosen, S., & Fry, A. (1996). Temporal discounting in choice between delayed rewards: The role of age and income. Psychology and Aging, 11(1), 79–84. doi:10.1037/0882-7974.11.1.79
   PubMed Web of Science ®Google Scholar
• Green, L., Myerson, J., Oliveira, L., & Chang, S. E. (2013). Delay discounting of monetary rewards over a wide range of amounts. Journal of the Experimental Analysis of Behavior, 100(3), 269–281. doi:10.1002/jeab.45
   PubMed Web of Science ®Google Scholar
• Gross, A. L., Rebok, G. W., Unverzagt, F. W., Willis, S. L., & Brandt, J. (2011). Cognitive predictors of everyday functioning in older adults: Results from the ACTIVE Cognitive Intervention Trial. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 66B(5), 557–566. doi:10.1093/geronb/gbr033
   Web of Science ®Google Scholar
• Halfmann, K., Hedgcock, W., & Denburg, N. L. (2013). Age-related differences in discounting future gains and losses. Journal of Neuroscience, Psychology, and Economics, 6(1), 42–54. doi:10.1037/npe0000003
   PubMed Web of Science ®Google Scholar
• Hayden, B. Y., & Platt, M. L. (2007). Temporal discounting predicts risk sensitivity in rhesus macaques. Current Biology, 17(1), 49–53. doi:10.1016/j.cub.2006.10.055
   PubMed Web of Science ®Google Scholar
• Henninger, D. E., Madden, D. J., & Huettel, S. A. (2010). Processing speed and memory mediate age-related differences in decision making. Psychology and Aging, 25(2), 262–270. doi:10.1037/a0019096
   PubMed Web of Science ®Google Scholar
• Hoffman, W. F., Moore, M., Templin, R., McFarland, B., Hitzemann, R. J., & Mitchell, S. H. (2006). Neuropsychological function and delay discounting in methamphetamine-dependent individuals. Psychopharmacology, 188(2), 162–170. doi:10.1007/s00213-006-0494-0
   PubMed Web of Science ®Google Scholar
• Holt, D. D., Green, L., & Myerson, J. (2003). Is discounting impulsive? Evidence from temporal and probability discounting in gambling and non-gambling college students. Behavioural Processes, 64, 355–367. doi:10.1016/S0376-6357(03)00141-4
   PubMed Web of Science ®Google Scholar
• Huckans, M., Seelye, A., Woodhouse, J., Parcel, T., Mull, L., Schwartz, D., … Hoffman, W. (2011). Discounting of delayed rewards and executive dysfunction in individuals infected with hepatitis C. Journal of Clinical and Experimental Neuropsychology, 33(2), 176–186.
   PubMed Web of Science ®Google Scholar
• Huettel, S. A., Stowe, C. J., Gordon, E. M., Warner, B. T., & Platt, M. L. (2006). Neural signatures of economic preferences for risk and ambiguity. Neuron, 49(5), 765–775. doi:10.1016/j.neuron.2006.01.024
   PubMed Web of Science ®Google Scholar
• Hurd, M. D., Martorell, P., Delavande, A., Mullen, K. J., & Langa, K. M. (2013). Monetary costs of dementia in the United States. New England Journal of Medicine, 368(14), 1326–1334. doi:10.1056/NEJMsa1204629
   PubMed Web of Science ®Google Scholar
• Inquisit 3.0.6.0 [Computer software]. (2011). Seattle, WA: Millisecond Software.
   Google Scholar
• Jimura, K., Myerson, J., Hilgard, J., Keighley, J., Braver, T. S., & Green, L. (2011). Domain independence and stability in young and older adults’ discounting of delayed rewards. Behavioural Processes, 87(3), 253–259. doi:10.1016/j.beproc.2011.04.006
   PubMed Web of Science ®Google Scholar
• Kirby, K. N. (1997). Bidding on the future: Evidence against normative discounting of delayed rewards. Journal of Experimental Psychology: General, 126(1), 54–70. doi:10.1037/0096-3445.126.1.54
   Web of Science ®Google Scholar
• Kirby, K. N., & Petry, N. M. (2004). Heroin and cocaine abusers have higher discount rates for delayed rewards than alcoholics or non-drug-using controls. Addiction, 99(4), 461–471.
   PubMed Web of Science ®Google Scholar
• Kirby, K. N., Petry, N. M., & Bickel, W. K. (1999). Heroin addicts have higher discount rates for delayed rewards than non-drug-using controls. Journal of Experimental Psychology: General, 128(1), 78–87.
   PubMed Web of Science ®Google Scholar
• Kuhnen, C. M., & Knutson, B. (2005). The neural basis of financial risk taking. Neuron, 47(5), 763–770. doi:10.1016/j.neuron.2005.08.008
   PubMed Web of Science ®Google Scholar
• Lockenhoff, C. E., O’Donoghue, T., & Dunning, D. (2011). Age differences in temporal discounting: The role of dispositional affect and anticipated emotions. Psychology and Aging, 26(2), 274–284. doi:10.1037/a0023280
   PubMed Web of Science ®Google Scholar
• Loewenstein, D. A., Amigo, E., Duara, R., Guterman, A., Hurwitz, D., Berkowitz, N., … Eisdorfer, C. (1989). A new scale for the assessment of functional status in Alzheimer’s disease and related disorders. Journal of Gerontology, 44(4), 114–121. doi:10.1093/geronj/44.4.P114
   PubMedGoogle Scholar
• Loewenstein, D. A., & Mogosky, B. J. (1999). The functional assessment of the older adult patient. In P. A. Lichtenberg (Ed.), Handbook of assessment in clinical gerontology (pp. 529–554). New York, NY: John Wiley & Sons.
   Google Scholar
• Marcotte, T. D., & Grant, I. (2009). Neuropsychology of everyday functioning. New York, NY: Guilford Press.
   Google Scholar
• Marschner, A., Mell, T., Wartenburger, I., Villringer, A., Reischies, F. M., & Heekeren, H. R. (2005). Reward-based decision-making and aging. Brain Research Bulletin, 67(5), 382–390. doi:10.1016/j.brainresbull.2005.06.010
   PubMed Web of Science ®Google Scholar
• McDougall, G. J., Becker, H., Vaughan, P. W., Acee, T. W., & Delville, C. L. (2010). The Revised Direct Assessment of Functional Status for independent older adults. The Gerontologist, 50(3), 363–370. doi:10.1093/geront/gnp139
   PubMed Web of Science ®Google Scholar
• McKerchar, T. L., & Renda, C. R. (2012). Delay and probability discounting in humans: An overview. Psychological Record, 62(4), 817–834.
   Web of Science ®Google Scholar
• Mioshi, E., Hodges, J. R., & Hornberger, M. (2013). Neural correlates of activities of daily living in frontotemporal dementia. Journal of Geriatric Psychiatry and Neurology, 26(1), 51–57. doi:10.1177/0891988713477474
   PubMed Web of Science ®Google Scholar
• Mitchell, M., & Miller, L. S. (2008). Executive functioning and observed versus self-reported measures of functional ability. The Clinical Neuropsychologist, 22(3), 471–479. doi:10.1080/13854040701336436
   PubMed Web of Science ®Google Scholar
• Myerson, J., Green, L., & Warusawitharana, M. (2001). Area under the curve as a measure of discounting. Journal of the Experimental Analysis of Behavior, 76(2), 235–243. doi:10.1901/jeab.2001.76-235
   PubMed Web of Science ®Google Scholar
• Naeim, A., Keeler, E. B., & Reuben, D. (2007). Perceived causes of disability added prognostic value beyond medical conditions and functional status. Journal of Clinical Epidemiology, 60(1), 79–85. doi:10.1016/j.jclinepi.2005.11.026
   PubMed Web of Science ®Google Scholar
• National Institute on Aging. (2011). Global health and aging (Report No. 11-7737). Retrieved from http://www.nia.nih.gov/sites/default/files/global_health_and_aging.pdf
   Google Scholar
• Njegovan, V., Man-Son-Hing, M., Mitchell, S. L., & Molnar, F. J. (2001). The hierarchy of functional loss associated with cognitive decline in older persons. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 56(10), 638–643. doi:10.1093/gerona/56.10.M638
   PubMed Web of Science ®Google Scholar
• Ohmura, Y., Takahashi, T., & Kitamura, N. (2005). Discounting delayed and probabilistic monetary gains and losses by smokers of cigarettes. Psychopharmacology, 182(4), 508–515. doi:10.1007/s00213-005-0110-8
   PubMed Web of Science ®Google Scholar
• Ohmura, Y., Takahashi, T., Kitamura, N., & Wehr, P. (2006). Three-month stability of delay and probability discounting measures. Experimental and Clinical Psychopharmacology, 14(3), 318–328. doi:10.1037/1064-1297.14.3.318
   PubMed Web of Science ®Google Scholar
• Olson, E. A., Hooper, C. J., Collins, P., & Luciana, M. (2007). Adolescents’ performance on delay and probability discounting tasks: Contributions of age, intelligence, executive functioning, and self-reported externalizing behavior. Personality and Individual Differences, 43(7), 1886–1897.
   PubMed Web of Science ®Google Scholar
• Pennanen, C., Kivipelto, M., Tuomainen, S., Hartikainen, P., Hänninen, T., Laakso, M. P., … Soininen, H. (2004). Hippocampus and entorhinal cortex in mild cognitive impairment and early AD. Neurobiology of Aging, 25(3), 303–310. doi:10.1016/S0197-4580(03)00084-8
   PubMed Web of Science ®Google Scholar
• Pérès, K., Helmer, C., Amieva, H., Orgogozo, J.-M., Rouch, I., Dartigues, J.-F., & Barberger-Gateau, P. (2008). Natural history of decline in instrumental activities of daily living performance over the 10 years preceding the clinical diagnosis of dementia: A prospective population-based study. Journal of the American Geriatrics Society, 56(1), 37–44. doi:10.1111/j.1532-5415.2007.01499.x
   PubMed Web of Science ®Google Scholar
• Peters, J., & Büchel, C. (2009). Overlapping and distinct neural systems code for subjective value during intertemporal and risky decision making. The Journal of Neuroscience, 29(50), 15727–15734. doi:10.1523/JNEUROSCI.3489-09.2009
   PubMed Web of Science ®Google Scholar
• Peters, J., & Büchel, C. (2011). The neural mechanisms of inter-temporal decision-making: Understanding variability. Trends in Cognitive Sciences, 15(5), 227–239. doi:10.1016/j.tics.2011.03.002
   PubMed Web of Science ®Google Scholar
• Psychological Corporation. (2001). Wechsler Test of Adult Reading. San Antonio, TX: Harcourt Brace & Company.
   Google Scholar
• Puente, A. N., Terry, D. P., Faraco, C. C., Brown, C. L., & Miller, L. S. (2014). Functional impairment in mild cognitive impairment evidenced using performance-based measurement. Journal of Geriatric Psychiatry and Neurology, 27(4), 253–258.
   PubMed Web of Science ®Google Scholar
• Rachlin, H., Raineri, A., & Cross, D. (1991). Subjective probability and delay. Journal of the Experimental Analysis of Behavior, 55(2), 233–244.
   PubMed Web of Science ®Google Scholar
• Read, D., & Read, N. (2004). Time discounting over the lifespan. Organizational Behavior and Human Decision Processes, 94(1), 22–32. doi:10.1016/j.obhdp.2004.01.002
   Web of Science ®Google Scholar
• Reynolds, B., & Schiffbauer, R. (2005). Delay of gratification and delay discounting: A unifying feedback model of delay-related impulsive behavior. The Psychological Record, 55(3), 439–460.
   Web of Science ®Google Scholar
• Richards, J. B., Zhang, L., Mitchell, S. H., & de Wit, H. (1999). Delay or probability discounting in a model of impulsive behavior: Effect of alcohol. Journal of the Experimental Analysis of Behavior, 71(2), 121–143. doi:10.1901/jeab.1999.71-121
   PubMed Web of Science ®Google Scholar
• Rogers, R. D., Owen, A. M., Middleton, H. C., Williams, E. J., Pickard, J. D., Sahakian, B. J., & Robbins, T. W. (1999). Choosing between small, likely rewards and large, unlikely rewards activates inferior and orbital prefrontal cortex. The Journal of Neuroscience, 19(20), 9029–9038.
   PubMed Web of Science ®Google Scholar
• Royall, D., Lauterbach, E., Kaufer, D., Malloy, P., Coburn, K., & Black, K. (2007). The cognitive correlates of functional status: A review from the committee on research of the American Neuropsychiatric Association. The Journal of Neuropsychiatry and Clinical Neurosciences, 19(3), 249–265.
   PubMed Web of Science ®Google Scholar
• Samanez-Larkin, G. R., Mata, R., Radu, P. T., Ballard, I. C., Carstensen, L. L., & McClure, S. M. (2011). Age differences in striatal delay sensitivity during intertemporal choice in healthy adults. Frontiers in Neuroscience, 5, 1–12. doi:10.3389/fnins.2011.00126
   PubMedGoogle Scholar
• Schmitter-Edgecombe, M., Parsey, C., & Cook, D. J. (2011). Cognitive correlates of functional performance in older adults: Comparison of self-report, direct observation, and performance-based measures. Journal of the International Neuropsychological Society, 17(5), 853–864. doi:10.1017/S1355617711000865
   PubMed Web of Science ®Google Scholar
• Shamosh, N. A., DeYoung, C. G., Green, A. E., Reis, D. L., Johnson, M. R., Conway, A. R. A., … Gray, J. R. (2008). Individual differences in delay discounting: Relation to intelligence, working memory, and anterior prefrontal cortex. Psychological Science, 19(9), 904–911. doi:10.1111/j.1467-9280.2008.02175.x
   PubMed Web of Science ®Google Scholar
• Singh, V., Chertkow, H., Lerch, J. P., Evans, A. C., Dorr, A. E., & Kabani, N. J. (2006). Spatial patterns of cortical thinning in mild cognitive impairment and Alzheimer’s disease. Brain, 129(11), 2885–2893. doi:10.1093/brain/awl256
   PubMed Web of Science ®Google Scholar
• Sinz, H., Zamarian, L., Benke, T., Wenning, G. K., & Delazer, M. (2008). Impact of ambiguity and risk on decision making in mild Alzheimer’s disease. Neuropsychologia, 46(7), 2043–2055. doi:10.1016/j.neuropsychologia.2008.02.002
   PubMed Web of Science ®Google Scholar
• Suchy, Y., Kraybill, M. L., & Franchow, E. (2011). Instrumental activities of daily living among community-dwelling older adults: Discrepancies between self-report and performance are mediated by cognitive reserve. Journal of Clinical and Experimental Neuropsychology, 33(1), 92–100. doi:10.1080/13803395.2010.493148
   PubMed Web of Science ®Google Scholar
• Tabachnick, B. G., & Fidell, L. S. (2004). Using multivariate statistics (4th ed.). Needham Heights, MA: Allyn & Bacon.
   Google Scholar
• Tan, J. E., Hultsch, D. F., & Strauss, E. (2009). Cognitive abilities and functional capacity in older adults: Results from the Modified Scales of Independent Behavior–Revised. The Clinical Neuropsychologist, 23(3), 479–500. doi:10.1080/13854040802368684
   PubMed Web of Science ®Google Scholar
• Teng, E., Becker, B. W., Woo, E., Cummings, J. L., & Lu, P. H. (2010). Subtle deficits in instrumental activities of daily living in subtypes of mild cognitive impairment. Dementia and Geriatric Cognitive Disorders, 30(3), 189–197. doi:10.1159/000313540
   PubMed Web of Science ®Google Scholar
• Tymula, A., Belmaker, L. A. R., Ruderman, L., Glimcher, P. W., & Levy, I. (2013). Like cognitive function, decision making across the life span shows profound age-related changes. Proceedings of the National Academy of Sciences, 110(42), 17143–17148. doi:10.1073/pnas.1309909110
   PubMed Web of Science ®Google Scholar
• Weber, B. J., & Huettel, S. A. (2008). The neural substrates of probabilistic and intertemporal decision making. Brain Research, 1234, 104–115. doi:10.1016/j.brainres.2008.07.105
   PubMed Web of Science ®Google Scholar
• Wechsler, D. (2001). Wechsler Test of Adult Reading: WTAR. San Antonio, TX: The Psychological Corporation.
   Google Scholar
• Weiner, M. W., Veitch, D. P., Aisen, P. S., Beckett, L. A., Cairns, N. J., Green, R. C., … Trojanowski, J. Q. (2013). The Alzheimer’s Disease Neuroimaging Initiative: A review of papers published since its inception. Alzheimer’s & Dementia, 9(5), 111–194. doi:10.1016/j.jalz.2013.05.1769
   PubMedGoogle Scholar
• Weller, R. E., Avsar, K. B., Cox, J. E., Reid, M. A., White, D. M., & Lahti, A. C. (2014). Delay discounting and task performance consistency in patients with schizophrenia. Psychiatry Research, 215(2), 286–293. doi:10.1016/j.psychres.2013.11.013
   PubMed Web of Science ®Google Scholar
• Willis, S. L. (1991). Cognition and everyday competence. In K. W. Schaie (Ed.), Annual review of gerontology and geriatrics (pp. 80–109). New York, NY: Springer.
   Google Scholar
• Yechiam, E., Busemeyer, J. R., Stout, J. C., & Bechara, A. (2005). Using cognitive models to map relations between neuropsychological disorders and human decision-making deficits. Psychological Science, 16(12), 973–978. doi:10.1111/j.1467-9280.2005.01646.x
   PubMed Web of Science ®Google Scholar
• Zamarian, L., Weiss, E. M., & Delazer, M. (2011). The impact of mild cognitive impairment on decision making in two gambling tasks. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 66B(1), 23–31. doi:10.1093/geronb/gbq067
   Web of Science ®Google Scholar