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Neuroimaging, Adolescence, and Risky Behavior

  • John C. Churchwell
  • Deborah A. Yurgelun-Todd
Chapter

Abstract

Neuroimaging and behavioral studies have proven to be critical in ­establishing normative developmental trajectories for brain and behavior relationships. These studies suggest that delayed maturation of neural systems during ­adolescence may lead to increased risk taking and result in negative consequences, such as substance abuse and addiction. Specifically, discontinuities in the development of prefrontal cortical functioning may foster a neural and behavioral landscape that can increase novelty seeking, lead to increased impulsive actions and choices, and set the stage for substance abuse. This chapter focuses on functional neuroimaging studies of adolescents, examines conceptual challenges related to understanding risky behavior and substance abuse within a neurobiological framework, and considers future directions, such as using neuroimaging to determine biomarkers for risk and resilience through development.

Keywords

Prefrontal Cortex Response Inhibition Risky Behavior Stroop Task Delay Discount 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Adleman, N. E., Menon, V., Blasey, C. M., White, C. D., Warsofsky, I. S., Glover, G. H., et al. (2002). A developmental fMRI study of the Stroop color-word task. Neuroimage, 16(1), 61–75.PubMedGoogle Scholar
  2. Ainslie, G. (2001). Breakdown of will. Cambridge ; New York: Cambridge University Press.Google Scholar
  3. Anderson, K. G., Schweinsburg, A., Paulus, M. P., Brown, S. A., & Tapert, S. (2005). Examining personality and alcohol expectancies using functional magnetic resonance imaging (fMRI) with adolescents. J Stud Alcohol, 66(3), 323–331.PubMedGoogle Scholar
  4. Ballard, K., & Knutson, B. (2009). Dissociable neural representations of future reward magnitude and delay during temporal discounting. Neuroimage, 45(1), 143–150.PubMedGoogle Scholar
  5. Balleine, B. W., & Dickinson, A. (1998). Goal-directed instrumental action: contingency and incentive learning and their cortical substrates. Neuropharmacology, 37(4–5), 407–419.PubMedGoogle Scholar
  6. Banks, S. J., Eddy, K. T., Angstadt, M., Nathan, P. J., & Phan, K. L. (2007). Amygdala-frontal connectivity during emotion regulation. Soc Cogn Affect Neurosci, 2(4), 303–312.PubMedGoogle Scholar
  7. Bardo, M. T., Donohew, R. L., & Harrington, N. G. (1996). Psychobiology of novelty seeking and drug seeking behavior. Behav Brain Res, 77(1–2), 23–43.PubMedGoogle Scholar
  8. Bari, A., Dalley, J. W., & Robbins, T. W. (2008). The application of the 5-choice serial reaction time task for the assessment of visual attentional processes and impulse control in rats. Nat Protoc, 3(5), 759–767.PubMedGoogle Scholar
  9. Barratt, E. S. (1994). Impulsiveness and Agression. In J. Monahan and H. J. Steadman (Eds.), Violence and Mental Disorder: Developments in Risk Assessment (pp. 61–79). Chicago: University of Chicago Press.Google Scholar
  10. Bechara, A., Damasio, H., Damasio, A. R., & Lee, G. P. (1999). Different contributions of the human amygdala and ventromedial prefrontal cortex to decision-making. J Neurosci, 19(13), 5473–5481.PubMedGoogle Scholar
  11. Behrendt, S., Wittchen, H. U., Hofler, M., Lieb, R., & Beesdo, K. (2009). Transitions from first substance use to substance use disorders in adolescence: is early onset associated with a rapid escalation? Drug Alcohol Depend, 99(1–3), 68–78.PubMedGoogle Scholar
  12. Bjork, J. M., Hommer, D. W., Grant, S. J., & Danube, C. (2004a). Impulsivity in abstinent alcohol-dependent patients: relation to control subjects and type 1-/type 2-like traits. Alcohol, 34(2–3), 133–150.PubMedGoogle Scholar
  13. Bjork, J. M., Knutson, B., Fong, G. W., Caggiano, D. M., Bennett, S. M., & Hommer, D. W. (2004b). Incentive-elicited brain activation in adolescents: similarities and differences from young adults. J Neurosci, 24(8), 1793–1802.PubMedGoogle Scholar
  14. Bjork, J. M., Smith, A. R., Danube, C. L., & Hommer, D. W. (2007). Developmental differences in posterior mesofrontal cortex recruitment by risky rewards. J Neurosci, 27(18), 4839–4849.PubMedGoogle Scholar
  15. Bolla, K. I., Eldreth, D. A., Matochik, J. A., & Cadet, J. L. (2005). Neural substrates of faulty decision-making in abstinent marijuana users. Neuroimage, 26(2), 480–492.PubMedGoogle Scholar
  16. Bornovalova, M. A., Cashman-Rolls, A., O’Donnell, J. M., Ettinger, K., Richards, J. B., deWit, H., et al. (2009). Risk taking differences on a behavioral task as a function of potential reward/loss magnitude and individual differences in impulsivity and sensation seeking. Pharmacol Biochem Behav, 93(3), 258–262.PubMedGoogle Scholar
  17. Braet, W., Johnson, K. A., Tobin, C. T., Acheson, R., Bellgrove, M. A., Robertson, I. H., et al. (2009). Functional developmental changes underlying response inhibition and error-detection processes. Neuropsychologia.Google Scholar
  18. Brand, M., Grabenhorst, F., Starcke, K., Vandekerckhove, M. M., & Markowitsch, H. J. (2007). Role of the amygdala in decisions under ambiguity and decisions under risk: evidence from patients with Urbach-Wiethe disease. Neuropsychologia, 45(6), 1305–1317.PubMedGoogle Scholar
  19. Brand, M., Labudda, K., & Markowitsch, H. J. (2006). Neuropsychological correlates of decision-making in ambiguous and risky situations. Neural Netw, 19(8), 1266–1276.PubMedGoogle Scholar
  20. Cain, M. E., Saucier, D. A., & Bardo, M. T. (2005). Novelty seeking and drug use: contribution of an animal model. Exp Clin Psychopharmacol, 13(4), 367–375.PubMedGoogle Scholar
  21. Camerer, C., & Weber, M. (1992). Recent developments in modeling preferences: Uncertainty and ambiguity. Journal of Risk and Uncertainty, 5 325–370.Google Scholar
  22. Cardinal, R. N. (2006). Neural systems implicated in delayed and probabilistic reinforcement. Neural Netw, 19(8), 1277–1301.PubMedGoogle Scholar
  23. Chambers, C. D., Garavan, H., & Bellgrove, M. A. (2009). Insights into the neural basis of response inhibition from cognitive and clinical neuroscience. Neurosci Biobehav Rev, 33(5), 631–646.PubMedGoogle Scholar
  24. Chambers, R. A., Taylor, J. R., & Potenza, M. N. (2003). Developmental neurocircuitry of motivation in adolescence: a critical period of addiction vulnerability. Am J Psychiatry, 160(6), 1041–1052.PubMedGoogle Scholar
  25. Chevrier, A. D., Noseworthy, M. D., & Schachar, R. (2007). Dissociation of response inhibition and performance monitoring in the stop signal task using event-related fMRI. Hum Brain Mapp, 28(12), 1347–1358.PubMedGoogle Scholar
  26. Chudasama, Y., Passetti, F., Rhodes, S. E., Lopian, D., Desai, A., & Robbins, T. W. (2003). Dissociable aspects of performance on the 5-choice serial reaction time task following lesions of the dorsal anterior cingulate, infralimbic and orbitofrontal cortex in the rat: differential effects on selectivity, impulsivity and compulsivity. Behav Brain Res, 146(1–2), 105–119.PubMedGoogle Scholar
  27. Cloninger, C. R. (1994). The temperament and character inventory (TCI) : a guide to its development and use (1st ed.). St. Louis, Mo.: Center for Psychobiology of Personality, Washington University.Google Scholar
  28. Cohen, J. D., McClure, S. M., & Yu, A. J. (2007). Should I stay or should I go? How the human brain manages the trade-off between exploitation and exploration. Philos Trans R Soc Lond B Biol Sci, 362(1481), 933–942.PubMedGoogle Scholar
  29. Crews, F., He, J., & Hodge, C. (2007). Adolescent cortical development: a critical period of vulnerability for addiction. Pharmacol Biochem Behav, 86(2), 189–199.PubMedGoogle Scholar
  30. Cunningham, M. G., Bhattacharyya, S., & Benes, F. M. (2002). Amygdalo-cortical sprouting continues into early adulthood: implications for the development of normal and abnormal function during adolescence. J Comp Neurol, 453(2), 116–130.PubMedGoogle Scholar
  31. Dalley, J. W., Cardinal, R. N., & Robbins, T. W. (2004). Prefrontal executive and cognitive functions in rodents: neural and neurochemical substrates. Neurosci Biobehav Rev, 28(7), 771–784.PubMedGoogle Scholar
  32. Daw, N. D., O’Doherty, J. P., Dayan, P., Seymour, B., & Dolan, R. J. (2006). Cortical substrates for exploratory decisions in humans. Nature, 441(7095), 876–879.PubMedGoogle Scholar
  33. Dawe, S., Gullo, M. J., & Loxton, N. J. (2004). Reward drive and rash impulsiveness as dimensions of impulsivity: implications for substance misuse. Addict Behav, 29(7), 1389–1405.PubMedGoogle Scholar
  34. de Wit, H. (2009). Impulsivity as a determinant and consequence of drug use: a review of underlying processes. Addict Biol, 14(1), 22–31.PubMedGoogle Scholar
  35. de Wit, H., & Richards, J. B. (2004). Dual determinants of drug use in humans: reward and impulsivity. Nebr Symp Motiv, 50, 19–55.PubMedGoogle Scholar
  36. de Wit, S., & Dickinson, A. (2009). Associative theories of goal-directed behaviour: a case for animal-human translational models. Psychol Res, 73(4), 463–476.PubMedGoogle Scholar
  37. Diergaarde, L., Pattij, T., Poortvliet, I., Hogenboom, F., de Vries, W., Schoffelmeer, A. N., et al. (2008). Impulsive choice and impulsive action predict vulnerability to distinct stages of nicotine seeking in rats. Biol Psychiatry, 63(3), 301–308.PubMedGoogle Scholar
  38. Doremus-Fitzwater, T. L., Varlinskaya, E. I., & Spear, L. P. (2010). Motivational systems in adolescence: Possible implications for age differences in substance abuse and other risk-taking behaviors. Brain Cogn, 72(1), 114–123.PubMedGoogle Scholar
  39. Eigsti, I. M., Zayas, V., Mischel, W., Shoda, Y., Ayduk, O., Dadlani, M. B., et al. (2006). Predicting cognitive control from preschool to late adolescence and young adulthood. Psychol Sci, 17(6), 478–484.PubMedGoogle Scholar
  40. Eippert, F., Veit, R., Weiskopf, N., Erb, M., Birbaumer, N., & Anders, S. (2007). Regulation of emotional responses elicited by threat-related stimuli. Hum Brain Mapp, 28(5), 409–423.PubMedGoogle Scholar
  41. Ernst, M., & Fudge, J. L. (2009). A developmental neurobiological model of motivated behavior: anatomy, connectivity and ontogeny of the triadic nodes. Neurosci Biobehav Rev, 33(3), 367–382.PubMedGoogle Scholar
  42. Ernst, M., Nelson, E. E., Jazbec, S., McClure, E. B., Monk, C. S., Leibenluft, E., et al. (2005). Amygdala and nucleus accumbens in responses to receipt and omission of gains in adults and adolescents. Neuroimage, 25(4), 1279–1291.PubMedGoogle Scholar
  43. Ernst, M., Pine, D. S., & Hardin, M. (2006). Triadic model of the neurobiology of motivated behavior in adolescence. Psychol Med, 36(3), 299–312.PubMedGoogle Scholar
  44. Ernst, M., Romeo, R. D., & Andersen, S. L. (2008). Neurobiology of the development of motivated behaviors in adolescence: A window into a neural systems model. Pharmacol Biochem Behav.Google Scholar
  45. Eshel, N., Nelson, E. E., Blair, R. J., Pine, D. S., & Ernst, M. (2007). Neural substrates of choice selection in adults and adolescents: development of the ventrolateral prefrontal and anterior cingulate cortices. Neuropsychologia, 45(6), 1270–1279.PubMedGoogle Scholar
  46. Evenden, J. L. (1999). Varieties of impulsivity. Psychopharmacology (Berl), 146(4), 348–361.Google Scholar
  47. Fareri, D. S., Martin, L. N., & Delgado, M. R. (2008). Reward-related processing in the human brain: developmental considerations. Dev Psychopathol, 20(4), 1191–1211.PubMedGoogle Scholar
  48. Fillmore, M. T., & Rush, C. R. (2002). Impaired inhibitory control of behavior in chronic cocaine users. Drug Alcohol Depend, 66(3), 265–273.PubMedGoogle Scholar
  49. Galvan, A., Hare, T., Voss, H., Glover, G., & Casey, B. J. (2007). Risk-taking and the adolescent brain: who is at risk? Dev Sci, 10(2), F8–F14.PubMedGoogle Scholar
  50. Galvan, A., Hare, T. A., Parra, C. E., Penn, J., Voss, H., Glover, G., et al. (2006). Earlier development of the accumbens relative to orbitofrontal cortex might underlie risk-taking behavior in adolescents. J Neurosci, 26(25), 6885–6892.PubMedGoogle Scholar
  51. Geier, C., & Luna, B. (2009). The maturation of incentive processing and cognitive control. Pharmacol Biochem Behav, 93(3), 212–221.PubMedGoogle Scholar
  52. Goldberg, J. H., Millstein, S., Schwartz, A., & Halpern-Felsher, B. (2009). Intertemporal tradeoffs: perceiving the risk in the benefits of marijuana in a prospective study of adolescents and young adults. Med Decis Making, 29(2), 182–192.PubMedGoogle Scholar
  53. Gruber, S. A., & Yurgelun-Todd, D. A. (2005). Neuroimaging of marijuana smokers during inhibitory processing: a pilot investigation. Brain Res Cogn Brain Res, 23(1), 107–118.PubMedGoogle Scholar
  54. Gullo, M. J., & Dawe, S. (2008). Impulsivity and adolescent substance use: rashly dismissed as “all-bad”? Neurosci Biobehav Rev, 32(8), 1507–1518.PubMedGoogle Scholar
  55. Hare, T. A., Tottenham, N., Galvan, A., Voss, H. U., Glover, G. H., & Casey, B. J. (2008). Biological substrates of emotional reactivity and regulation in adolescence during an emotional go-nogo task. Biol Psychiatry, 63(10), 927–934.PubMedGoogle Scholar
  56. Hariri, A. R., Brown, S. M., Williamson, D. E., Flory, J. D., de Wit, H., & Manuck, S. B. (2006). Preference for immediate over delayed rewards is associated with magnitude of ventral striatal activity. J Neurosci, 26(51), 13213–13217.PubMedGoogle Scholar
  57. Herwig, U., Abler, B., Walter, H., & Erk, S. (2007). Expecting unpleasant stimuli – an fMRI study. Psychiatry Res, 154(1), 1–12.PubMedGoogle Scholar
  58. Hester, R., Nestor, L., & Garavan, H. (2009). Impaired error awareness and anterior cingulate cortex hypoactivity in chronic cannabis users. Neuropsychopharmacology, 34(11), 2450–2458.PubMedGoogle Scholar
  59. Hsu, M., Bhatt, M., Adolphs, R., Tranel, D., & Camerer, C. F. (2005). Neural systems responding to degrees of uncertainty in human decision-making. Science, 310(5754), 1680–1683.PubMedGoogle Scholar
  60. 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.PubMedGoogle Scholar
  61. Ivanov, I., Schulz, K. P., London, E. D., & Newcorn, J. H. (2008). Inhibitory control deficits in childhood and risk for substance use disorders: a review. Am J Drug Alcohol Abuse, 34(3), 239–258.PubMedGoogle Scholar
  62. Jentsch, J. D., & Taylor, J. R. (1999). Impulsivity resulting from frontostriatal dysfunction in drug abuse: implications for the control of behavior by reward-related stimuli. Psychopharmacology (Berl), 146(4), 373–390.Google Scholar
  63. Joseph, J. E., Liu, X., Jiang, Y., Lynam, D., & Kelly, T. H. (2009). Neural correlates of emotional reactivity in sensation seeking. Psychol Sci, 20(2), 215–223.PubMedGoogle Scholar
  64. Kable, J. W., & Glimcher, P. W. (2007). The neural correlates of subjective value during intertemporal choice. Nat Neurosci, 10(12), 1625–1633.PubMedGoogle Scholar
  65. Kaufman, J. N., Ross, T. J., Stein, E. A., & Garavan, H. (2003). Cingulate hypoactivity in cocaine users during a GO-NOGO task as revealed by event-related functional magnetic resonance imaging. J Neurosci, 23(21), 7839–7843.PubMedGoogle Scholar
  66. Killgore, W. D., Oki, M., & Yurgelun-Todd, D. A. (2001). Sex-specific developmental changes in amygdala responses to affective faces. Neuroreport, 12(2), 427–433.PubMedGoogle Scholar
  67. Knutson, B., & Greer, S. M. (2008). Anticipatory affect: neural correlates and consequences for choice. Philos Trans R Soc Lond B Biol Sci, 363(1511), 3771–3786.PubMedGoogle Scholar
  68. Kollins, S. H. (2003). Delay discounting is associated with substance use in college students. Addict Behav, 28(6), 1167–1173.PubMedGoogle Scholar
  69. Krain, A. L., Hefton, S., Pine, D. S., Ernst, M., Castellanos, F. X., Klein, R. G., et al. (2006). An fMRI examination of developmental differences in the neural correlates of uncertainty and decision-making. J Child Psychol Psychiatry, 47(10), 1023–1030.PubMedGoogle Scholar
  70. Lawrence, A. J., Luty, J., Bogdan, N. A., Sahakian, B. J., & Clark, L. (2009). Impulsivity and response inhibition in alcohol dependence and problem gambling. Psychopharmacology (Berl).Google Scholar
  71. Lenroot, R. K., & Giedd, J. N. (2006). Brain development in children and adolescents: insights from anatomical magnetic resonance imaging. Neurosci Biobehav Rev, 30(6), 718–729.PubMedGoogle Scholar
  72. Li, C. S., Luo, X., Yan, P., Bergquist, K., & Sinha, R. (2009). Altered impulse control in alcohol dependence: neural measures of stop signal performance. Alcohol Clin Exp Res, 33(4), 740–750.PubMedGoogle Scholar
  73. Lopez, B., Schwartz, S. J., Prado, G., Campo, A. E., & Pantin, H. (2008). Adolescent neurological development and its implications for adolescent substance use prevention. J Prim Prev, 29(1), 5–35.PubMedGoogle Scholar
  74. Luna, B., Padmanabhan, A., & O’Hearn, K. (2009). What has fMRI told us about the Development of Cognitive Control through Adolescence? Brain Cogn.Google Scholar
  75. Luna, B., & Sweeney, J. A. (2004). The emergence of collaborative brain function: FMRI studies of the development of response inhibition. Ann N Y Acad Sci, 1021, 296–309.PubMedGoogle Scholar
  76. Luna, B., Thulborn, K. R., Munoz, D. P., Merriam, E. P., Garver, K. E., Minshew, N. J., et al. (2001). Maturation of widely distributed brain function subserves cognitive development. Neuroimage, 13(5), 786–793.PubMedGoogle Scholar
  77. Marsh, R., Zhu, H., Schultz, R. T., Quackenbush, G., Royal, J., Skudlarski, P., et al. (2006). A developmental fMRI study of self-regulatory control. Hum Brain Mapp, 27(11), 848–863.PubMedGoogle Scholar
  78. May, J. C., Delgado, M. R., Dahl, R. E., Stenger, V. A., Ryan, N. D., Fiez, J. A., et al. (2004). Event-related functional magnetic resonance imaging of reward-related brain circuitry in children and adolescents. Biol Psychiatry, 55(4), 359–366.PubMedGoogle Scholar
  79. Mayberg, H. S. (2003). Modulating dysfunctional limbic-cortical circuits in depression: towards development of brain-based algorithms for diagnosis and optimised treatment. Br Med Bull, 65, 193–207.PubMedGoogle Scholar
  80. McClure, S. M., Laibson, D. I., Loewenstein, G., & Cohen, J. D. (2004). Separate neural systems value immediate and delayed monetary rewards. Science, 306(5695), 503–507.PubMedGoogle Scholar
  81. McNamee, R. L., Dunfee, K. L., Luna, B., Clark, D. B., Eddy, W. F., & Tarter, R. E. (2008). Brain activation, response inhibition, and increased risk for substance use disorder. Alcohol Clin Exp Res, 32(3), 405–413.PubMedGoogle Scholar
  82. Mischel, W., Shoda, Y., & Rodriguez, M. I. (1989). Delay of gratification in children. Science, 244(4907), 933–938.PubMedGoogle Scholar
  83. Mitchell, S. H. (1999). Measures of impulsivity in cigarette smokers and non-smokers. Psychopharmacology (Berl), 146(4), 455–464.Google Scholar
  84. Mobini, S., Body, S., Ho, M. Y., Bradshaw, C. M., Szabadi, E., Deakin, J. F., et al. (2002). Effects of lesions of the orbitofrontal cortex on sensitivity to delayed and probabilistic reinforcement. Psychopharmacology (Berl), 160(3), 290–298.Google Scholar
  85. Moeller, F. G., Barratt, E. S., Dougherty, D. M., Schmitz, J. M., & Swann, A. C. (2001). Psychiatric aspects of impulsivity. Am J Psychiatry, 158(11), 1783–1793.PubMedGoogle Scholar
  86. Monterosso, J., & Ainslie, G. (1999). Beyond discounting: possible experimental models of impulse control. Psychopharmacology (Berl), 146(4), 339–347.Google Scholar
  87. Monterosso, J. R., Ainslie, G., Xu, J., Cordova, X., Domier, C. P., & London, E. D. (2007). Frontoparietal cortical activity of methamphetamine-dependent and comparison subjects performing a delay discounting task. Hum Brain Mapp, 28(5), 383–393.PubMedGoogle Scholar
  88. Monterosso, J. R., Aron, A. R., Cordova, X., Xu, J., & London, E. D. (2005). Deficits in response inhibition associated with chronic methamphetamine abuse. Drug Alcohol Depend, 79(2), 273–277.PubMedGoogle Scholar
  89. Nitschke, J. B., Sarinopoulos, I., Mackiewicz, K. L., Schaefer, H. S., & Davidson, R. J. (2006). Functional neuroanatomy of aversion and its anticipation. Neuroimage, 29(1), 106–116.PubMedGoogle Scholar
  90. Olson, E. A., Collins, P. F., Hooper, C. J., Muetzel, R., Lim, K. O., & Luciana, M. (2009). White matter integrity predicts delay discounting behavior in 9- to 23-year-olds: a diffusion tensor imaging study. J Cogn Neurosci, 21(7), 1406–1421.PubMedGoogle Scholar
  91. 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. Pers Individ Dif, 43(7), 1886–1897.PubMedGoogle Scholar
  92. Paulus, M. P. (2007). Decision-making dysfunctions in psychiatry – altered homeostatic processing? Science, 318(5850), 602–606.PubMedGoogle Scholar
  93. Perry, J. L., & Carroll, M. E. (2008). The role of impulsive behavior in drug abuse. Psychopharmacology (Berl), 200(1), 1–26.Google Scholar
  94. Phan, K. L., Fitzgerald, D. A., Nathan, P. J., Moore, G. J., Uhde, T. W., & Tancer, M. E. (2005). Neural substrates for voluntary suppression of negative affect: a functional magnetic resonance imaging study. Biol Psychiatry, 57(3), 210–219.PubMedGoogle Scholar
  95. Platt, M. L., & Huettel, S. A. (2008). Risky business: the neuroeconomics of decision making under uncertainty. Nat Neurosci, 11(4), 398–403.PubMedGoogle Scholar
  96. Poulos, C. X., Le, A. D., & Parker, J. L. (1995). Impulsivity predicts individual susceptibility to high levels of alcohol self-administration. Behav Pharmacol, 6(8), 810–814.PubMedGoogle Scholar
  97. Reynolds, B., de Wit, H., & Richards, J. (2002). Delay of gratification and delay discounting in rats. Behav Processes, 59(3), 157.PubMedGoogle Scholar
  98. Reynolds, B., Penfold, R. B., & Patak, M. (2008). Dimensions of impulsive behavior in adolescents: laboratory behavioral assessments. Exp Clin Psychopharmacol, 16(2), 124–131.PubMedGoogle Scholar
  99. Robinson, E. S., Eagle, D. M., Economidou, D., Theobald, D. E., Mar, A. C., Murphy, E. R., et al. (2009). Behavioural characterisation of high impulsivity on the 5-choice serial reaction time task: specific deficits in ‘waiting’ versus ‘stopping’. Behav Brain Res, 196(2), 310–316.PubMedGoogle Scholar
  100. Rubia, K., Smith, A. B., Taylor, E., & Brammer, M. (2007). Linear age-correlated functional development of right inferior fronto-striato-cerebellar networks during response inhibition and anterior cingulate during error-related processes. Hum Brain Mapp, 28(11), 1163–1177.PubMedGoogle Scholar
  101. Rubia, K., Smith, A. B., Woolley, J., Nosarti, C., Heyman, I., Taylor, E., et al. (2006). Progressive increase of frontostriatal brain activation from childhood to adulthood during event-related tasks of cognitive control. Hum Brain Mapp, 27(12), 973–993.PubMedGoogle Scholar
  102. Rudebeck, P. H., Walton, M. E., Smyth, A. N., Bannerman, D. M., & Rushworth, M. F. (2006). Separate neural pathways process different decision costs. Nat Neurosci, 9(9), 1161–1168.PubMedGoogle Scholar
  103. Rushworth, M. F., & Behrens, T. E. (2008). Choice, uncertainty and value in prefrontal and cingulate cortex. Nat Neurosci, 11(4), 389–397.PubMedGoogle Scholar
  104. Schepis, T. S., Adinoff, B., & Rao, U. (2008). Neurobiological processes in adolescent addictive disorders. Am J Addict, 17(1), 6–23.PubMedGoogle Scholar
  105. Schoenbaum, G., Setlow, B., Saddoris, M. P., & Gallagher, M. (2003). Encoding predicted outcome and acquired value in orbitofrontal cortex during cue sampling depends upon input from basolateral amygdala. Neuron, 39(5), 855–867.PubMedGoogle Scholar
  106. Schultz, W., Preuschoff, K., Camerer, C., Hsu, M., Fiorillo, C. D., Tobler, P. N., et al. (2008). Explicit neural signals reflecting reward uncertainty. Philos Trans R Soc Lond B Biol Sci, 363(1511), 3801–3811.PubMedGoogle Scholar
  107. Segal, B., Huba, G. J., & Singer, J. L. (1980). Drugs, daydreaming, and personality : a study of college youth. Hillsdale, N.J.: L. Erlbaum Associates.Google Scholar
  108. Shukla, R. K., & Kelley, M. S. (2007). Investigating how decisions to use marijuana change over time. Subst Use Misuse, 42(9), 1401–1425.PubMedGoogle Scholar
  109. Silveri, M. M., Rohan, M. L., Pimentel, P. J., Gruber, S. A., Rosso, I. M., & Yurgelun-Todd, D. A. (2006). Sex differences in the relationship between white matter microstructure and impulsivity in adolescents. Magn Reson Imaging, 24(7), 833–841.PubMedGoogle Scholar
  110. Silveri, M. M., Tzilos, G. K., Pimentel, P. J., & Yurgelun-Todd, D. A. (2004). Trajectories of adolescent emotional and cognitive development: effects of sex and risk for drug use. Ann N Y Acad Sci, 1021, 363–370.PubMedGoogle Scholar
  111. Spear, L. P. (2000). The adolescent brain and age-related behavioral manifestations. Neurosci Biobehav Rev, 24(4), 417–463.PubMedGoogle Scholar
  112. Steinberg, L. (2004). Risk taking in adolescence: what changes, and why? Ann N Y Acad Sci, 1021, 51–58.PubMedGoogle Scholar
  113. Steinberg, L. (2008). A Social Neuroscience Perspective on Adolescent Risk-Taking. Dev Rev, 28(1), 78–106.PubMedGoogle Scholar
  114. Steinberg, L., Graham, S., O’Brien, L., Woolard, J., Cauffman, E., & Banich, M. (2009). Age differences in future orientation and delay discounting. Child Dev, 80(1), 28–44.PubMedGoogle Scholar
  115. Stevens, M. C., Kiehl, K. A., Pearlson, G. D., & Calhoun, V. D. (2007). Functional neural networks underlying response inhibition in adolescents and adults. Behav Brain Res, 181(1), 12–22.PubMedGoogle Scholar
  116. Streeter, C. C., Terhune, D. B., Whitfield, T. H., Gruber, S., Sarid-Segal, O., Silveri, M. M., et al. (2008). Performance on the Stroop predicts treatment compliance in cocaine-dependent individuals. Neuropsychopharmacology, 33(4), 827–836.PubMedGoogle Scholar
  117. Tamm, L., Menon, V., & Reiss, A. L. (2002). Maturation of brain function associated with response inhibition. J Am Acad Child Adolesc Psychiatry, 41(10), 1231–1238.PubMedGoogle Scholar
  118. Tapert, S. F., Schweinsburg, A. D., Drummond, S. P., Paulus, M. P., Brown, S. A., Yang, T. T., et al. (2007). Functional MRI of inhibitory processing in abstinent adolescent marijuana users. Psychopharmacology (Berl), 194(2), 173–183.Google Scholar
  119. Tarter, R. E., Kirisci, L., Mezzich, A., Cornelius, J. R., Pajer, K., Vanyukov, M., et al. (2003). Neurobehavioral disinhibition in childhood predicts early age at onset of substance use disorder. Am J Psychiatry, 160(6), 1078–1085.PubMedGoogle Scholar
  120. Tversky, A., & Kahneman, D. (1981). The framing of decisions and the psychology of choice. Science, 211(4481), 453–458.PubMedGoogle Scholar
  121. Van Leijenhorst, L., Zanolie, K., Van Meel, C. S., Westenberg, P. M., Rombouts, S. A., & Crone, E. A. (2009). What Motivates the Adolescent? Brain Regions Mediating Reward Sensitivity across Adolescence. Cereb Cortex.Google Scholar
  122. Verbruggen, F., & Logan, G. D. (2008). Response inhibition in the stop-signal paradigm. Trends Cogn Sci, 12(11), 418–424.PubMedGoogle Scholar
  123. Verdejo-Garcia, A. J., Perales, J. C., & Perez-Garcia, M. (2007). Cognitive impulsivity in cocaine and heroin polysubstance abusers. Addict Behav, 32(5), 950–966.PubMedGoogle Scholar
  124. Wager, T. D., Davidson, M. L., Hughes, B. L., Lindquist, M. A., & Ochsner, K. N. (2008). Prefrontal-subcortical pathways mediating successful emotion regulation. Neuron, 59(6), 1037–1050.PubMedGoogle Scholar
  125. Weber, B. J., & Huettel, S. A. (2008). The neural substrates of probabilistic and intertemporal decision making. Brain Res, 1234, 104–115.PubMedGoogle Scholar
  126. Winstanley, C. A., Dalley, J. W., Theobald, D. E., & Robbins, T. W. (2004). Fractionating impulsivity: contrasting effects of central 5-HT depletion on different measures of impulsive behavior. Neuropsychopharmacology, 29(7), 1331–1343.PubMedGoogle Scholar
  127. Wittmann, B. C., Daw, N. D., Seymour, B., & Dolan, R. J. (2008). Striatal activity underlies novelty-based choice in humans. Neuron, 58(6), 967–973.PubMedGoogle Scholar
  128. Xu, L., Liang, Z. Y., Wang, K., Li, S., & Jiang, T. (2009). Neural mechanism of intertemporal choice: from discounting future gains to future losses. Brain Res, 1261, 65–74.PubMedGoogle Scholar
  129. Yang, T. T., Simmons, A. N., Matthews, S. C., Tapert, S. F., Frank, G. K., Bischoff-Grethe, A., et al. (2009). Adolescent subgenual anterior cingulate activity is related to harm avoidance. Neuroreport, 20(1), 19–23.PubMedGoogle Scholar
  130. Yates, J. F., & Watts, R. A. (1975). Preferences for deferred losses. Organizational Behavior and Human Performance, 13, 294–306.Google Scholar
  131. Yurgelun-Todd, D. (2007). Emotional and cognitive changes during adolescence. Curr Opin Neurobiol, 17(2), 251–257.PubMedGoogle Scholar
  132. Yurgelun-Todd, D., & Killgore, W. D. (2006). Fear-related activity in the prefrontal cortex increases with age during adolescence: a preliminary fMRI study. Neurosci Lett, 406(3), 194–199.PubMedGoogle Scholar
  133. Zuckerman, M. (1994). Behavioral expressions and biosocial bases of sensation seeking. Cambridge ; New York: Cambridge University Press.Google Scholar

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© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Department of PsychiatryUniversity of Utah School of MedicineSalt Lake CityUSA

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