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The effects of reward and punishment contingencies on decision-making in multiple sclerosis

  • HELGA NAGY (a1), KRISZTINA BENCSIK (a1), CECÍLIA RAJDA (a1), KRISZTINA BENEDEK (a1), SÁNDOR BENICZKY (a1), SZABOLCS KÉRI (a2) and LÁSZLÓ VÉCSEI (a1) (a3)...
Abstract

Many patients with multiple sclerosis (MS) show cognitive and emotional disorders. The purpose of this study is to evaluate the role of contingency learning in decision-making in young, non-depressed, highly functioning patients with MS (n = 21) and in matched healthy controls (n = 30). Executive functions, attention, short-term memory, speed of information processing, and selection and retrieval of linguistic material were also investigated. Contingency learning based on the cumulative effect of reward and punishment was assessed using the Iowa Gambling Test (IGT). In the classic ABCD version of the IGT, advantageous decks are characterized by immediate small reward but even smaller future punishment. In the modified EFGH version, advantageous decks are characterized by immediate large punishment but even larger future reward. Results revealed that patients with MS showed significant dysfunctions in both versions of the IGT. Performances on neuropsychological tests sensitive to dorsolateral prefrontal functions did not predict and did not correlate with the IGT scores. These results suggest that patients with MS show impaired performances on tasks designed to assess decision-making in a situation requiring the evaluation of long-term outcomes regardless of gain or loss, and that this deficit is not a pure consequence of executive dysfunctions (JINS, 2006, 12, 559–565.)

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Corresponding author
Correspondence and reprint requests to: Dr. Szabolcs Kéri, Department of Psychiatry, Faculty of Medicine, Albert Szent-Györgyi Medical and Pharmaceutical Center, University of Szeged, Semmelweis u. 6, Szeged, H-6725, Hungary. E-mail: szkeri@phys.szote.u-szeged.hu
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REFERENCES

Bechara, A., Damasio, A.R., Damasio, H., & Anderson, S.W. (1994). Insensitivity to future consequences following damage to human prefrontal cortex. Cognition, 50, 715.
Bechara, A., Damasio, H., Tranel, D., & Anderson, S.W. (1998). Dissociation of working memory from decision making within the human prefrontal cortex. Journal of Neuroscience, 18, 428437.
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.
Bechara, A., Tranel, D., & Damasio, H. (2000). Characterization of the decision-making deficit of patients with ventromedial prefrontal cortex lesions. Brain, 123, 21892202.
Bechara, A., Dolan, S., Denburg, N., Hindes, A., Anderson, S.W., & Nathan, P.E. (2001). Decision-making deficits, linked to a dysfunctional ventromedial prefrontal cortex, revealed in alcohol and stimulant abusers. Neuropsychologia, 39, 376389.
Benedict, R.H., Bakshi, R., Simon, J.H., Priore, R., Miller, C., & Munschauer, F. (2002). Frontal cortex atrophy predicts cognitive impairment in multiple sclerosis. Journal of Neuropsychiatry and Clinical Neuroscience, 14, 4451.
Benedict, R.H., Carone, D.A., & Bakshi, R. (2004). Correlating brain atrophy with cognitive dysfunction, mood disturbances, and personality disorder in multiple sclerosis. Journal of Neuroimaging, 14 (3 Suppl.), 36S45S.
Bobholz, J.A. & Rao, S.M. (2003). Cognitive dysfunction in multiple sclerosis: A review of recent developments. Current Opinion in Neurology, 16, 283288.
Bruck, W. & Stadelmann, C. (2005). The spectrum of multiple sclerosis: New lessons from pathology. Current Opinion in Neurology, 18, 221224.
Busemeyer, J.R. & Stout, J.C. (2002). A contribution of cognitive decision models to clinical assessment: Decomposing performance on the Bechara gambling task. Psychological Assessment, 14, 253262.
Clark, L., Manes, F., Antoun, N., Sahakian, B.J., & Robbins, T.W. (2003). The contributions of lesion laterality and lesion volume to decision-making impairment following frontal lobe damage. Neuropsychologia, 41, 14741483.
Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates.
Evans, C.E., Kemish, K., & Turnbull, O.H. (2004). Paradoxical effects of education on the Iowa Gambling Task. Brain and Cognition, 54, 240244.
Feinstein, A., O'Connor, P., Gray, T., & Feinstein, K. (1999). Pathological laughing and crying in multiple sclerosis: A preliminary report suggesting a role for the prefrontal cortex. Multiple Sclerosis, 5, 6973.
Feinstein, A. (2004). The neuropsychiatry of multiple sclerosis. Canadian Journal of Psychiatry, 49, 157163.
Fellows, L.K. & Farah, M.J. (2005). Different underlying impairments in decision-making following ventromedial and dorsolateral frontal lobe damage in humans. Cerebral Cortex, 15, 5863.
Goldberg, E. & Bougakov, D. (2005). Neuropsychologic assessment of frontal lobe dysfunction. Psychiatry Clinics of North America, 28, 567580.
Kleeberg, J., Bruggimann, L., Annoni, J.M., van Melle, G., Bogousslavsky, J., & Schluep, M. (2004). Altered decision-making in multiple sclerosis: A sign of impaired emotional reactivity? Annals of Neurology, 56, 787795.
Kurtzke, J.F. (1983). Rating neurologic impairment in multiple sclerosis: An expanded disability status scale (EDSS). Neurology, 33, 14441452.
Lezak, D. (1995). Neuropsychological Assessment. Oxford: Oxford University Press.
Manes, F., Sahakian, B., Clark, L., Rogers, R., Antoun, N., Aitken, M., & Robbins, T. (2002). Decision-making processes following damage to the prefrontal cortex. Brain, 125, 624639.
Minden, S.L. & Schiffer, R.B. (1990). Affective disorders in multiple sclerosis. Review and recommendations for clinical research. Archives of Neurology, 47, 98104.
Miyake, A., Friedman, N.P., Emerson, M.J., Witzki, A.H., Howerter, A., & Wager, T.D. (2000). The unity and diversity of executive functions and their contributions to complex “Frontal Lobe” tasks: A latent variable analysis. Cognitive Psychology, 41, 49100.
Poser, C.M., Paty, D.W., Scheinberg, L., McDonald, W.I., Davis, F.A., Ebers, G.C., Johnson, K.P., Sibley, W.A., Silberberg, D.H., & Tourtellotte, WW. (1983). New diagnostic criteria for multiple sclerosis: Guidelines for research protocols. Annals of Neurology, 13, 227231.
Rogers, R.D. (2003). Neuropsychological investigations of the impulsive personality disorders. Psychological Medicine, 33, 13351340.
Sheehan, D.V., Lecrubier, Y., Sheehan, K.H., Amorim, P., Janavs, J., Weiller, E., Hergueta, T., Baker, R., & Dunbar, G.C. (1998). The Mini-International Neuropsychiatric Interview (M.I.N.I.): The development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. Journal of Clinical Psychiatry, 59 (Suppl. 20), 2233.
Stablum, F., Meligrana, L., Sgaramella, T., Bortolon, F., & Toso, V. (2004). Endogenous task shift processes in relapsing-remitting multiple sclerosis. Brain and Cognition, 56, 328331.
Steer, R.A., Rissmiller, D.J., Ranieri, W.F., & Beck, A.T. (1993). Structure of the computer-assisted Beck anxiety inventory with psychiatric inpatients. Journal of Personality Assessment, 60, 532542.
Tavares, J.V., Drevets, W.C., & Sahakian, B.J. (2003). Cognition in mania and depression. Psychological Medicine, 33, 959967.
Turnbull, O.H., Evans, C.E., Bunce, A., Carzolio, B., & O'connor, J. (2005). Emotion-based learning and central executive resources: An investigation of intuition and the Iowa Gambling Task. Brain and Cognition, 57, 244247.
Wishart, H. & Sharpe, D. (1997). Neuropsychological aspects of multiple sclerosis: A quantitative review. Journal of Clinical and Experimental Neuropsychology, 19, 810824.
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, 973978.
Zakzanis, K.K. (2000). Distinct neurocognitive profiles in multiple sclerosis subtypes. Archives of Clinical Neuropsychology, 15, 115136.
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Journal of the International Neuropsychological Society
  • ISSN: 1355-6177
  • EISSN: 1469-7661
  • URL: /core/journals/journal-of-the-international-neuropsychological-society
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