Functional neuroimaging of the iowa gambling task in older adults

Neuropsychology

Volumn 28, Issue 6, 2014, Pages 870-880

  Halfmann, Kameko ^a   Hedgcock, William ^b   Bechara, Antoine ^c   Denburg, Natalie L ^a  

^a UNIVERSITY OF IOWA   (United States)

^b UNIVERSITY OF IOWA   (United States)

^c UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

Aging; Decision making; Iowa gambling task; Reward; Ventromedial prefrontal cortex

Indexed keywords

ADULT; AGED; ARTICLE; BOLD SIGNAL; BRAIN REGION; DECISION MAKING; FEMALE; FUNCTIONAL NEUROIMAGING; HUMAN; IOWA GAMBLING TASK; MALE; NERVE POTENTIAL; NEUROPSYCHOLOGICAL TEST; POSTERIOR CINGULATE; PRECUNEUS; PREFRONTAL CORTEX; PRIORITY JOURNAL; TASK PERFORMANCE; UNITED STATES; BRAIN; COGNITIVE AGING; GAMBLING; MIDDLE AGED; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; PROCEDURES; PSYCHOLOGY; REWARD; VERY ELDERLY;

AGED; AGED, 80 AND OVER; BRAIN; COGNITIVE AGING; DECISION MAKING; FEMALE; FUNCTIONAL NEUROIMAGING; GAMBLING; HUMANS; IOWA; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; NEUROPSYCHOLOGICAL TESTS; PREFRONTAL CORTEX; REWARD; TASK PERFORMANCE AND ANALYSIS;

EID: 84925725337     PISSN: 08944105     EISSN: 19311559     Source Type: Journal    
DOI: 10.1037/neu0000120     Document Type: Article

References (40)

1. Bechara, A. (2004). Disturbances of emotion regulation after focal brain lesions. International Review of Neurobiology, 62, 159-193. doi:10.1016/S0074-7742(04)62006-X
2. Bechara, A. (2007). Iowa Gambling Task professional manual. Lutz, FL:Psychological Assessment Resources.
3. Bechara, A., Damasio, H., & Damasio, A. R. (2000). Emotion, decision making and the orbitofrontal cortex. Cerebral Cortex, 10, 295-307.
4. Bechara, A., Damasio, H., Tranel, D., & Damasio, A. R. (1997). Deciding advantageously before knowing the advantageous strategy. Science, 275, 1293-1295. doi:10.1126/science.275.5304.1293
5. Bechara, A., Tranel, D., & Damasio, H. (2000). Characterization of the decision-making deficit of patients with ventromedial prefrontal cortex lesions. Brain: A Journal of Neurology, 123, 2189-2202. doi:10.1093/brain/123.11.2189
6. Brainard, D. H. (1997). The Psychophysics Toolbox. Spatial Vision, 10, 433-436. doi:10.1163/156856897X00357
7. Bruine de Bruin, W., Parker, A. M., & Fischhoff, B. (2012). Explaining adult age differences in decision-making competence. Journal of Behavioral Decision Making, 25, 353-360.
8. Buxton, R. B. (2002). Introduction to functional magnetic resonance imaging: Principles and techniques. Cambridge, UK: Cambridge University Press. doi:10.1017/CBO9780511549854
9. Cabeza, R., Anderson, N. D., Locantore, J. K., & McIntosh, A. R. (2002). Aging gracefully: Compensatory brain activity in high-performing older adults. NeuroImage, 17, 1394-1402. doi:10.1006/nimg.2002.1280
10. Carstensen, L. L., Isaacowitz, D. M., & Charles, S. T. (1999). Taking time seriously: A theory of socioemotional selectivity. American Psychologist, 54, 165-181. doi:10.1037/0003-066X.54.3.165
11. Cohen, S., Janicki-Deverts, D., & Miller, G. E. (2007). Psychological stress and disease. Journal of the American Medical Association, 298, 1685-1687. doi:10.1001/jama.298.14.1685
12. Damasio, A. R. (1996). The somatic marker hypothesis and the possible functions of the prefrontal cortex. Philosophical Transactions of the Royal Society of London B: Biological Sciences, 351, 1413-1420. doi:10.1098/rstb.1996.0125
13. Damasio, A. R., Anderson, S. W., & Tranel, D. (2011). The frontal lobes. In K. M. Heilman & E. Valenstein (Eds.), Clinical neuropsychology (5th ed., pp. 417-465). New York, NY: Oxford University Press.
14. Damasio, A. R., Grabowski, T. J., Bechara, A., Damasio, H., Ponto, L. B. L., Parvizi, J., & Hichwa, R. D. (2000). Subcortical and cortical brain activity during the feeling of self-generated emotions. Nature Neuroscience, 3, 1049-1056. doi:10.1038/79871
15. Denburg, N. L., Cole, C. A., Hernandez, M., Yamada, T. H., Tranel, D., Bechara, A., & Wallace, R. B. (2007). The orbitofrontal cortex, realworld decision making, and normal aging. Annals of the New York Academy of Sciences, 1121, 480-498. doi:10.1196/annals.1401.031
16. Denburg, N. L., Recknor, E. C., Bechara, A., & Tranel, D. (2006). Psychophysiological anticipation of positive outcomes promotes advantageous decision making in normal older persons. International Journal of Psychophysiology, 61, 19-25. doi:10.1016/j.ijpsycho.2005.10.021
17. Denburg, N. L., Tranel, D., & Bechara, A. (2005). The ability to decide advantageously declines prematurely in some normal older persons. Neuropsychologia, 43, 1099-1106. doi:10.1016/j.neuropsychologia .2004.09.012
18. D'Esposito, M., Deouell, L. Y., & Gazzaley, A. (2003). Alterations in the BOLD fMRI signal with ageing and disease: A challenge for neuroimaging. Nature Reviews: Neuroscience, 4, 863-872. doi:10.1038/nrn1246
19. Ernst, M., Bolla, K., Mouratidis, M., Contoreggi, C., Matochik, J. A., Kurian, V.,... London, E. D. (2002). Decision making in a risk-taking task: A PET study. Neuropsychopharmacology, 26, 682-691. doi:10.1016/S0893-133X(01)00414-6
20. Eyler, L. T., Sherzai, A., Kaup, A. K., & Jeste, D. V. (2011). A review of functional brain imaging correlates of successful cognitive aging. Biological Psychiatry, 70, 115-122. doi:10.1016/j.biopsych.2010.12.032
21. Forman, S. D., Cohen, J. D., Fitzgerald, M., Eddy, W. F., Mintun, M. A., & Noll, D. C. (1995). Improved assessment of significant activation in functional magnetic resonance imaging (fMRI): Use of a cluster-size threshold. Magnetic Resonance in Medicine, 33, 636-647. doi:10.1002/mrm.1910330508
22. Gläscher, J., Adolphs, R., Damasio, H., Bechara, A., Rudrauf, D., Calamia, M.,... Tranel, D. (2012). Lesion mapping of cognitive control and value-based decision making in the prefrontal cortex. Proceedings of the National Academy of Sciences of the United States of America, 109, 14681-14686. doi:10.1073/pnas.1206608109
23. Glimcher, P. W., & Rustichini, A. (2004). Neuroeconomics: The consilience of brain and decision. Science, 306, 447-452. doi:10.1126/science .1102566
24. Halfmann, K., Hedgcock, W., & Denburg, N. L. (2013). Age-related differences in discounting future gains and losses. Journal of Neuroscience, Psychology, and Economics, 6, 42-54. doi:10.1037/npe0000003
25. Lezak, M. D., Howieson, D. B., Bigler, E. D., & Tranel, D. (2012). Neuropsychological assessment (5th ed.). New York, NY: Oxford University Press.
26. Li, X., Lu, Z.-L., D'Argembeau, A., Ng, M., & Bechara, A. (2010). The Iowa Gambling Task in fMRI images. Human Brain Mapping, 31, 410-423.
27. Liang, K., & Zeger, S. L. (1986). Longitudinal data analysis using generalized linear models. Biometrika, 73, 13-22. doi:10.1093/biomet/73.1.13
28. Moser, D. J., Boles Ponto, L. L., Miller, I. N., Schultz, S. K., Menda, Y., Arndt, S., & Nopoulos, P. C. (2012). Cerebral blood flow and neuropsychological functioning in elderly vascular disease patients. Journal of Clinical and Experimental Neuropsychology, 34, 220-225. doi:10.1080/13803395.2011.630653
29. Öngür, D., & Price, J. L. (2000). The organization of networks within the orbital and medial prefrontal cortex of rats, monkeys, and humans. Cerebral Cortex, 10, 206-219. doi:10.1093/cercor/10.3.206
30. Raz, N., Gunning, F. M., Head, D., Dupuis, J. H., McQuain, J., Briggs, S. D.,... Acker, J. D. (1997). Selective aging of the human cerebral cortex observed in vivo: Differential vulnerability of the prefrontal gray matter. Cerebral Cortex, 7, 268-282.
31. Raz, N., Gunning-Dixon, F. M., Head, D., Dupuis, J. H., & Acker, J. D. (1998). Neuroanatomical correlates of cognitive aging: Evidence from structural magnetic resonance imaging. Neuropsychology, 12, 95-114. doi:10.1037/0894-4105.12.1.95
32. Resnick, S. M., Pham, D. L., Kraut, M. A., Zonderman, A. B., & Davatzikos, C. (2003). Longitudinal magnetic resonance imaging studies of older adults: A shrinking brain. The Journal of Neuroscience, 23, 3295-3301.
33. Reuter-Lorenz, P. A., & Park, D. C. (2010). Human neuroscience and the aging mind: A new look at old problems. The Journals of Gerontology, Series B: Psychological Sciences and Social Sciences, 65B, 405-415. doi:10.1093/geronb/gbq035
34. Rogalsky, C., Vidal, C., Li, X., & Damasio, H. (2012). Risky decisionmaking in older adults without cognitive deficits: An fMRI study of VMPFC using the Iowa Gambling Task. Social Neuroscience, 7, 178-190. doi:10.1080/17470919.2011.588340
35. Samanez-Larkin, G. R., & D'Esposito, M. (2008). Group comparisons:Imaging the aging brain. Social Cognitive and Affective Neuroscience, 3, 290-297. doi:10.1093/scan/nsn029
36. Talairach, J., & Tournoux, P. (1988). Co-planar stereotaxic atlas of the human brain. New York, NY: Thieme Medical Publishers, Inc.
37. Waters-Wood, S. M., Xiao, L., Denburg, N. L., Hernandez, M., & Bechara, A. (2012). Failure to learn from repeated mistakes: Persistent decision-making impairments as measured by the Iowa Gambling Task in patients with ventromedial prefrontal cortex. Journal of the International Neuropsychological Society, 18, 927-930. doi:10.1017/S135561771200063X
38. West, R., Murphy, K. J., Armilio, M. L., Craik, F. I. M., & Stuss, D. T. (2002). Lapses of intention and performance variability reveal agerelated increases in fluctuations of executive control. Brain and Cognition, 49, 402-419. doi:10.1006/brcg.2001.1507
39. Wood, S., Busemeyer, J., Koling, A., Cox, C. R., & Davis, H. (2005). Older adults as adaptive decision makers: Evidence from the Iowa Gambling Task. Psychology and Aging, 20, 220-225. doi:10.1037/0882-7974.20.2.220
40. Xiao, L., Wood, S. M., Denburg, N. L., Moreno, G. L., Hernandez, M., & Bechara, A. (2013). Is there a recovery of decision-making function after frontal lobe damage? A study using alternative versions of the Iowa Gambling Task. Journal of Clinical and Experimental Neuropsychology, 35, 518-529. doi:10.1080/13803395.2013.789484