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Risk taking during decision-making in normal volunteers changes with age

Published online by Cambridge University Press:  01 July 2004

JULIA DEAKIN
Affiliation:
Brain Mapping Unit, Department of Psychiatry, University of Cambridge, School of Clinical Medicine, Addenbrooke's Hospital, Hills Road, Cambridge, CB2 2QQ, UK
MICHAEL AITKEN
Affiliation:
Department of Experimental Psychology, University of Cambridge, Downing Street, Cambridge CB2 3EB, UK
TREVOR ROBBINS
Affiliation:
Department of Experimental Psychology, University of Cambridge, Downing Street, Cambridge CB2 3EB, UK
BARBARA J. SAHAKIAN
Affiliation:
Brain Mapping Unit, Department of Psychiatry, University of Cambridge, School of Clinical Medicine, Addenbrooke's Hospital, Hills Road, Cambridge, CB2 2QQ, UK

Abstract

Risk taking in a large cohort of adults (N = 177; ages 17–73) decreased with age, demonstrated by performance on a computer based gambling task, which has previously been shown to be sensitive to certain pharmacological manipulations including tryptophan depletion, lesions of the orbitofrontal cortex and neuropsychiatric disorders such as mania. Aging was also associated with longer deliberation times, poorer decision making, reduced risk taking, but no significant change in delay aversion. Subjects with a higher (NART-estimated) IQ were faster to make decisions and showed a greater modulation of risk-taking. Both sexes showed similar patterns of decision making, although male participants exhibited a greater modulation of risk-taking in response to the probability of winning. The Decision-Gamble task provides a variety of behavioral measures, corresponding to different aspects of impulsivity. Factor analysis of these measures suggested that two independent traits underlies performance on the task in normal individuals: one associated with risk tolerance, and a second associated with delay aversion. Age was related to decreases in the risk tolerance factor, but unrelated to the delay aversion; neither factor was significantly related to verbal IQ. This study thus provides support for the concept that impulsivity can be fractionated into 2 or more components. (JINS, 2004, 10, 590–598.)

Type
Research Article
Copyright
2004 The International Neuropsychological Society

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References

REFERENCES

Barratt, E.S. (1985). Impulsiveness defined within a systems model of personality. In E.P. Speilberger & J.N. Butcher (Eds.), Advances in personality assessment (pp. 113132). Hillsdale, NJ: Lawrence Erlbaum Associates.
Barrett, D.E. (1977). Reflection-impulsivity as a predictor of children's academic achievement. Child Development, 48, 14431447.CrossRefGoogle Scholar
Bechara, A., Damasio, H., Damasio, A.R., & Lee, G.P. (1999). Different contributions of the human amygdala and ventromedial prefrontal cortex to decision-making. Journal of Neuroscience, 19, 54735481.CrossRefGoogle Scholar
Convit, A., Wolf, O.T., de Leon, M.J., Patalinjug, M., Kandil, E., Caraos, C., Scherer, A., Saint Louis, L.A., & Cancro, R. (2001). Volumetric analysis of the pre-frontal regions: Findings in aging and schizophrenia. Psychiatry Research, 107, 6173.CrossRefGoogle Scholar
Daruna, J.H. & Barnes, P.A. (1993). A neurodevelopmental view of impulsivity. In W.G. McCowan, J. Johnson, & M.B. Shure (Eds.), The impulsive client: Theory research and treatment (pp. 4045). Washington, DC: American Psychological Association.
Denberg, N., Bechara, A., Tranel, A., Hindes, A., & Damasio, A. (1999). Neuropsychological evidence for why the ability to decide advantageously decreases with age. Society for Neuroscience Abstracts, 21, 24.Google Scholar
Denney, N.W. & List, J.A. (1979). Adult age differences in performance on the Matching Familiar Figures Test. Human Development, 22, 137144.CrossRefGoogle Scholar
Dror, I.E., Katona, M., & Mungur K. (1998). Age differences in decision making: To take a risk or not? Gerontology, 44, 6771Google Scholar
Evenden, J.L. (1999). Varieties of impulsivity. Psychopharmacology, 146, 348361.CrossRefGoogle Scholar
Eysenck, S. & Eysenck, H.J. (1978). Impulsiveness and venturesomeness: Their position in a dimensional system of personality description. Psychological Reports, 43, 12471255.CrossRefGoogle Scholar
Green, L., Fry, A.F., & Myerson, J. (1994). Discounting of delayed rewards: A lifespan comparison. Psychological Science, 5, 3336.CrossRefGoogle Scholar
Huq, S.F., Garety, P.A., & Hemsley, D.R. (1988). Probabilistic judgements in deluded and non-deluded subjects. Quarterly Journal of Experimental Psychology A, 40, 801812.CrossRefGoogle Scholar
Jamieson, B.D. (1969). The influences of birth order, family size, and sex differences on risk-taking behaviour. British Journal of Social and Clinical Psychology, 8, 18.Google Scholar
Kagan, J., Rosman, B.L., Day, D., Albert, J., & Philips, W. (1964). Information processing in the child: Significance of analytic and refective attitudes. Psychological Monographs, 78.CrossRefGoogle Scholar
Kopfstein, D. (1973). Risk-taking behavior and cognitive style. Child Development, 44, 190192.CrossRefGoogle Scholar
Mackintosh, N.J. (1998). IQ and human intelligence. Oxford, UK: Oxford University Press.
MacPherson, S.E., Phillips, L.H., & Della Sala, S. (2002) Age, executive function, and social decision making: A dorsolateral prefrontal theory of cognitive aging. Psychology of Aging 17, 598609CrossRefGoogle Scholar
Malle, B.F. & Neubauer, A.C. (1991). Impulsivity, reflection, and questionnaire response latencies: No evidence for a broad impulsivity trait. Personality and Individual Differences, 12, 865871.CrossRefGoogle Scholar
Mavaddat, N., Kirkpatrick, P.J., Rogers, R.D., & Sahakian, B.J. (2000). Deficits in decision-making in patients with aneurysms of the anterior communicating artery. Brain, 123, 21092117.CrossRefGoogle Scholar
Messer, S.B. (1976). Reflection-impulsivity: A review. Psychological Bulletin, 83, 10261052.CrossRefGoogle Scholar
Monterosso, J., Ehrman, R., Napier, K.L., O'Brien, C.P., & Childress, A.R. (2001). Three decision-making tasks in cocaine-dependent patients: Do they measure the same construct? Addiction, 96, 18251837.Google Scholar
Murphy, F.C., Rubinsztein, J.S., Michael, A., Rogers, R.D., Robbins, T.W., Paykel, E.S., & Sahakian, B.J. (2001). Decision-making cognition in mania and depression. Psychological Medicine, 31, 679693.CrossRefGoogle Scholar
Murphy, F.C., Sahakian, B.J., Rubinsztein, J.S., Michael, A., Rogers, R.D., Robbins, T.W., & Paykel, E.S. (1999). Emotional bias and inhibitory control processes in mania and depression. Psychological Medicine, 29, 13071321.CrossRefGoogle Scholar
Okun, M. (1976). Adult age and cautiousness in decision: A review of the literature. Human Development, 19, 220233.CrossRefGoogle Scholar
Rahman, S., Sahakian, B.J., Hodges, J.R., Rogers, R.D., & Robbins, T.W. (1999). Specific cognitive deficits in mild frontal variant frontotemporal dementia. Brain, 122, 14691493.CrossRefGoogle Scholar
Robbins, T.W., James, M., Owen, A.M., Sahakian, B.J., McInnes, L., & Rabbitt, P. (1994). Cambridge Neuropsychological Test Automated Battery (CANTAB): A factor analytic study of a large sample of normal elderly volunteers. Dementia, 5, 266281.CrossRefGoogle Scholar
Robbins, T.W., James, M., Owen, A.M., Sahakian, B.J., McInnes, L., & Rabbitt, P. (1997). A neural systems approach to the cognitive psychology of ageing using the CANTAB battery. In P. Rabbitt (Ed.), Methodology of frontal and executive function (Vol. 10, pp. 215238): Hove, UK: Psychology Press.
Rogers, R.D., Everitt, B.J., Baldacchino, A., Blackshaw, A.J., Swainson, R., Wynne, K., Baker, N.B., Hunter, J., Carthy, T., Booker, E., London, M., Deakin, J.F., Sahakian, B.J., & Robbins, T.W. (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, 322339.Google Scholar
Rogers, R.D., Owen, A.M., Middleton, H.C., Williams, E.J., Pickard, J.D., Sahakian, B.J., & Robbins, T.W. (1999b). Choosing between small, likely rewards and large, unlikely rewards activates inferior and orbital prefrontal cortex. Journal of Neuroscience, 19, 90299038.Google Scholar
Rubinsztein, J., Michael, A., Paykel, E., & Sahakian, B. (2000). Cognitive impairment in remission in bipolar affective disorder. Psychological Medicine, 30, 10251036.CrossRefGoogle Scholar
Salthouse, T.A. (2000). Aging and measures of processing speed. Biological Psychology, 54, 3554.CrossRefGoogle Scholar
Sanfrey, A. & Hastie, R. (2000). Judgement and decision making across the adult life-span: A tutorial review of psychological research. In D. Park & N. Schwarz (Eds.), Cognitive Aging: A Primer (pp. 253273). Philadelphia, PA: Psychology Press.
Slovic, P. (1966). Risk-taking in children: Age and sex differences. Child Development, 37, 169176.CrossRefGoogle Scholar