Hostname: page-component-cd9895bd7-dk4vv Total loading time: 0 Render date: 2024-12-23T04:49:03.911Z Has data issue: false hasContentIssue false

Decision Making after Traumatic Brain Injury: A Temporal Discounting Paradigm

Published online by Cambridge University Press:  08 January 2013

Rodger Ll. Wood*
Affiliation:
Psychology Department, Swansea University, Swansea, Wales
Louise McHugh
Affiliation:
School of Psychology, University College Dublin, Dublin, Ireland
*
Correspondence and reprint requests to: Rodger Ll. Wood, Brain Injury Research Group, Department of Psychology, College of Human and Health Sciences, Swansea University, Swansea, Wales, SA2 8PP. E-mail: [email protected]

Abstract

A temporal discounting paradigm was used to examine decision making for hypothetical monetary reward following traumatic brain injury (TBI). A case-control design compared individuals following moderate or severe TBI with a healthy control group matched for age and gender. The impact of intelligence, impulsivity, and mood on temporal discounting performance was examined. A within-subjects design for the TBI group determined the influence of a range of neuropsychological tests on temporal discounting performance. Both patients and controls demonstrated temporal discounting. However, the TBI group discounted more than controls, suggesting that their decision making was more impulsive, consistent with ratings on the impulsiveness questionnaire. Discounting performance was independent of neuropsychological measures of intelligence, memory, and executive function. There was no relationship between temporal discounting and ratings of everyday executive function made by patients' relatives. Low mood did not account for discounting performance. The results of this study suggest that temporal discounting may be a useful neuropsychological paradigm to assess decision making linked to monetary reward following TBI. Performance was relatively independent of intelligence, memory and standard tests of executive ability and may therefore assist when assessing a patient's mental capacity to manage their financial affairs. (JINS, 2013, 19, 1–8)

Type
Research Articles
Copyright
Copyright © The International Neuropsychological Society 2013

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Ainslie, G. (2001). Breakdown of will. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Barratt, E.S. (1994). Impulsiveness and aggression. In J. Monahan & H.J. Steadman (Eds.), Violence and mental disorder: Developments in risk assessment (pp. 6179). Chicago, IL: University of Chicago Press.Google Scholar
Beck, A.T., Brown, G., Steer, R.A. (1996). Beck Depression Inventory II Manuel. San Antonio, TX: The Psychological Corporation.Google Scholar
Bechara, A., Damasio, H., Damasio, A.R. (2003). Role of the amygdala in decision-making. Annals of the New York Academy of Sciences, 985, 356369.CrossRefGoogle ScholarPubMed
Bechara, A., Damasio, A.R., Damasio, H., Anderson, S.W. (1994). Insensitivity to future consequences following damage to prefrontal cortex. Cognition, 50, 715.CrossRefGoogle ScholarPubMed
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 ScholarPubMed
Bechara, A., Tranel, D., Damasio, H. (2000). Characterisation of the decision making deficit of patients with ventromedial prefrontal cortex lesions. Brain, 123(11), 21892202.CrossRefGoogle ScholarPubMed
Buelow, M.T., Suhr, J.A. (2009). Construct validity of the Iowa Gambling Task. Neuropsychological Review, 19(1), 102114.CrossRefGoogle ScholarPubMed
Burgess, P.W., Shallice, T. (1997). The Hayling and Brixton Tests. Bury St. Edmunds, UK: Thames Valley Test Company.Google Scholar
Carpenter, P., Just, M.A., Reichle, E. (2000). Working memory and executive function: Evidence from neuroimaging. Current Opinion in Neurobiology, 10, 195199.CrossRefGoogle ScholarPubMed
Christ, S.E., White, D.A., Brunstrom, J.E., Abrams, R.A. (2003). Inhibitory control following perinatal brain injury. Neuropsychology, 17, 171178.CrossRefGoogle ScholarPubMed
Cicerone, K.D., Tanenbaum, L.N. (1997). Disturbance of social cognition after traumatic orbitofrontal injury. Archives of Clinical Neuropsychology, 12, 175188.CrossRefGoogle ScholarPubMed
Crean, J.P., de Wit, H., Richards, J.B. (2000). Reward discounting as a measure of impulsive behavior in a psychiatric outpatient population. Experimental & Clinical Psychopharmacology, 8, 155162.CrossRefGoogle Scholar
Critchfield, T.S., Kollins, S.H. (2001). Temporal discounting: Basic research and the analysis of socially important behavior. Journal of Applied Behavior Analysis, 34, 101122.CrossRefGoogle ScholarPubMed
Drevets, W.C., Raichie, M.E. (1998). Reciprocal suppression of regional blood flow during emotional verses higher cognitive processes: implications for interaction between cognition and emotion. Cognition & Emotion, 12(3), 353385.CrossRefGoogle Scholar
Duncan, J., Burgess, P., Emslie, H. (1995). Fluid intelligence after frontal lobe lesions, 33(3), 261268.CrossRefGoogle Scholar
Green, L., Myerson, J. (1993). Alternative frameworks for the analysis of self control. Behavior and Philosophy, 21(2), 3747.Google Scholar
Greve, K., Sherwin, E., Stanford, M., Mathias, C., Love, J., Ramzinski, P. (2001). Personality and neurocognitive correlates of impulsive aggression in long-term survivors of severe traumatic brain injury. Brain Injury, 15, 255262.Google ScholarPubMed
Klapproth, F. (2011). Stable and variable characteristics of the time perspective in humans. KronoScope, 11(1-2), 4159.CrossRefGoogle Scholar
Johnson, M.W., Bickel, W.K. (2002). Within-subject comparisons of real and hypothetical monetary rewards in delayed discounting. Journal of Experimental Analysis of Behavior, 77, 129146.CrossRefGoogle Scholar
Marsh, D.M., Dougherty, D.M., Mathias, C.W., Moeller, F.G., Hicks, L.R. (2002). Comparisons of women with high and low trait impulsivity using behavioral models of response-disinhibition and reward-choice. Personality and Individual Differences, 33, 12911310.CrossRefGoogle Scholar
McAllister, T.W. (2007). Neuropsychiatric aspects of TBI. In N.D. Zazler, D.I. Katz, & R.D. Zafonte, (Eds). Brain injury medicine (pp. 835865). New York: Demos Medical Publishing.Google Scholar
McHugh, L., Wood, R.Ll. (2008). Using a temporal discounting paradigm to measure decision making and impulsivity following traumatic brain injury: A pilot study. Brain Injury, 22(9), 715721.CrossRefGoogle ScholarPubMed
McMillan, T.M., Jongen, E.L., Greenwood, R.J. (1996). Assessment of post-traumatic amnesia after severe closed head injury: Retrospective or prospective? Journal of Neurology, Neurosurgery, and Psychiatry, 60, 422427.CrossRefGoogle ScholarPubMed
Miller, L.A. (1992). Impulsivity, risk taking and the ability to synthesize fragmented information after frontal lobectomy. Neuropsychologia, 30, 6979.CrossRefGoogle ScholarPubMed
Myerson, J., Green, L. (1995). Discounting of delayed rewards: Models of individual choice. Journal of the Experimental Analysis Behavior, 64, 263276.CrossRefGoogle ScholarPubMed
Oddy, M., Cattran, C., Wood, R.Ll. (2008). The development of a measure of motivational changes following acquired brain injury. Journal of Clinical and Experimental Neuropsychology, 30(5), 568575.CrossRefGoogle ScholarPubMed
Patton, J.H., Stanford, M.S., Barratt, E.S. (1995). Factor structure of the Barratt Impulsiveness Scale. Journal of Clinical Psychology, 51, 768774.3.0.CO;2-1>CrossRefGoogle ScholarPubMed
Pfister, H.R., Bohm, G. (2008). The multiplicity of emotions: A framework of emotional functions in decision making. Judgment and Decision Making, 3(1), 517.CrossRefGoogle Scholar
Rachlin, H., Green, L. (1972). Commitment, choice, and self control. J Experimental Analysis of Behaviour, 17(1), 1522.CrossRefGoogle ScholarPubMed
Reed, D., Martens, B. (2011). Temporal discounting predicts student responsiveness to exchange delays in a classroom token system. Journal of Applied Behavior Analysis, 44, 118.CrossRefGoogle 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, 121143.CrossRefGoogle ScholarPubMed
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), 904911.CrossRefGoogle ScholarPubMed
Stanford, M.S., Mathias, C.W., Dougherty, D.M., Lake, S.L., Anderson, N.E., Patton, J.H. (2009). Fifty years of the Barratt Impulsiveness Scale: An update and review. Personality and Individual Differences, 47, 385395.CrossRefGoogle Scholar
Teasdale, G., Jennett, B. (1974). Assessment of coma and impaired consciousness. A practical scale. Lancet, 2, 8184.Google ScholarPubMed
The Psychological Corporation. (2001). Wechsler Test of Adult Reading. San Antonio, TX: Harcourt Assessment.Google Scholar
Walsh, K.W. (1985). Understanding brain damage: A primer of neuropsychological evaluation. London: Churchill Livingstone.Google Scholar
Wechsler, D. (1997). Wechsler Adult Intelligence Scale—3rd Edition (WAIS-3). San Antonio, TX: Harcourt Assessment.Google Scholar
Willner, P., Bailey, R., Parry, R., Dymond, S. (2010). Performance in temporal discounting tasks by people with intellectual disabilities reveals difficulties in decision-making and impulse control. American Journal on Intellectual and Developmental Disabilities, 115, 157171.CrossRefGoogle ScholarPubMed
Wilson, B.A., Evans, J.J., Alderman, N., Burgess, P.W., Emslie, H. (1997). Behavioural assessment of the dysexecutive syndrome. Neuropsychological Rehabilitation, 5, 662676.Google Scholar
Yuen, K.S.L., Lee, T.M.C. (2003). Could mood affect risk taking decisions? Journal Affective Disorders, 75, 1118.CrossRefGoogle ScholarPubMed
Zeelenberg, M., Nelissen, R.M.A., Breugelmans, S.M., Pieters, R. (2008). On emotion specificity in decision making: Why feeling is for doing. Judgment and Decision Making, 3, 1827.CrossRefGoogle Scholar