Skip to main content

Neuroimaging, Adolescence, and Risky Behavior

  • Chapter
  • First Online:

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.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  • 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.

    PubMed  Google Scholar 

  • Ainslie, G. (2001). Breakdown of will. Cambridge ; New York: Cambridge University Press.

    Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • Ballard, K., & Knutson, B. (2009). Dissociable neural representations of future reward magnitude and delay during temporal discounting. Neuroimage, 45(1), 143–150.

    PubMed  Google Scholar 

  • Balleine, B. W., & Dickinson, A. (1998). Goal-directed instrumental action: contingency and incentive learning and their cortical substrates. Neuropharmacology, 37(4–5), 407–419.

    PubMed  CAS  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • 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.

    PubMed  CAS  Google Scholar 

  • 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.

    PubMed  CAS  Google Scholar 

  • 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 

  • 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.

    PubMed  CAS  Google Scholar 

  • 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.

    PubMed  CAS  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • 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.

    PubMed  CAS  Google Scholar 

  • 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.

    PubMed  CAS  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • 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.

    PubMed  CAS  Google Scholar 

  • 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 

  • 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.

    PubMed  Google Scholar 

  • Brand, M., Labudda, K., & Markowitsch, H. J. (2006). Neuropsychological correlates of decision-making in ambiguous and risky situations. Neural Netw, 19(8), 1266–1276.

    PubMed  Google Scholar 

  • 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.

    PubMed  CAS  Google Scholar 

  • Camerer, C., & Weber, M. (1992). Recent developments in modeling preferences: Uncertainty and ambiguity. Journal of Risk and Uncertainty, 5 325–370.

    Google Scholar 

  • Cardinal, R. N. (2006). Neural systems implicated in delayed and probabilistic reinforcement. Neural Netw, 19(8), 1277–1301.

    PubMed  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • 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.

    PubMed  CAS  Google Scholar 

  • 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 

  • 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.

    PubMed  Google Scholar 

  • Crews, F., He, J., & Hodge, C. (2007). Adolescent cortical development: a critical period of vulnerability for addiction. Pharmacol Biochem Behav, 86(2), 189–199.

    PubMed  CAS  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • 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.

    PubMed  CAS  Google Scholar 

  • 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.

    PubMed  CAS  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • de Wit, H. (2009). Impulsivity as a determinant and consequence of drug use: a review of underlying processes. Addict Biol, 14(1), 22–31.

    PubMed  Google Scholar 

  • de Wit, H., & Richards, J. B. (2004). Dual determinants of drug use in humans: reward and impulsivity. Nebr Symp Motiv, 50, 19–55.

    PubMed  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • 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.

    PubMed  CAS  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • Ernst, M., Pine, D. S., & Hardin, M. (2006). Triadic model of the neurobiology of motivated behavior in adolescence. Psychol Med, 36(3), 299–312.

    PubMed  Google Scholar 

  • 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 

  • 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.

    PubMed  Google Scholar 

  • Evenden, J. L. (1999). Varieties of impulsivity. Psychopharmacology (Berl), 146(4), 348–361.

    CAS  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • Fillmore, M. T., & Rush, C. R. (2002). Impaired inhibitory control of behavior in chronic cocaine users. Drug Alcohol Depend, 66(3), 265–273.

    PubMed  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • 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.

    PubMed  CAS  Google Scholar 

  • Geier, C., & Luna, B. (2009). The maturation of incentive processing and cognitive control. Pharmacol Biochem Behav, 93(3), 212–221.

    PubMed  CAS  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • Gullo, M. J., & Dawe, S. (2008). Impulsivity and adolescent substance use: rashly dismissed as “all-bad”? Neurosci Biobehav Rev, 32(8), 1507–1518.

    PubMed  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • 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.

    PubMed  CAS  Google Scholar 

  • Herwig, U., Abler, B., Walter, H., & Erk, S. (2007). Expecting unpleasant stimuli – an fMRI study. Psychiatry Res, 154(1), 1–12.

    PubMed  Google Scholar 

  • Hester, R., Nestor, L., & Garavan, H. (2009). Impaired error awareness and anterior cingulate cortex hypoactivity in chronic cannabis users. Neuropsychopharmacology, 34(11), 2450–2458.

    PubMed  Google Scholar 

  • 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.

    PubMed  CAS  Google Scholar 

  • 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.

    PubMed  CAS  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • 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.

    CAS  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • Kable, J. W., & Glimcher, P. W. (2007). The neural correlates of subjective value during intertemporal choice. Nat Neurosci, 10(12), 1625–1633.

    PubMed  CAS  Google Scholar 

  • 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.

    PubMed  CAS  Google Scholar 

  • 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.

    PubMed  CAS  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • Kollins, S. H. (2003). Delay discounting is associated with substance use in college students. Addict Behav, 28(6), 1167–1173.

    PubMed  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • 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 

  • 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.

    PubMed  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • 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 

  • 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.

    PubMed  Google Scholar 

  • 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.

    PubMed  CAS  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • 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.

    PubMed  CAS  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • Mischel, W., Shoda, Y., & Rodriguez, M. I. (1989). Delay of gratification in children. Science, 244(4907), 933–938.

    PubMed  CAS  Google Scholar 

  • Mitchell, S. H. (1999). Measures of impulsivity in cigarette smokers and non-smokers. Psychopharmacology (Berl), 146(4), 455–464.

    CAS  Google Scholar 

  • 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.

    CAS  Google Scholar 

  • 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.

    PubMed  CAS  Google Scholar 

  • Monterosso, J., & Ainslie, G. (1999). Beyond discounting: possible experimental models of impulse control. Psychopharmacology (Berl), 146(4), 339–347.

    CAS  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • Paulus, M. P. (2007). Decision-making dysfunctions in psychiatry – altered homeostatic processing? Science, 318(5850), 602–606.

    PubMed  CAS  Google Scholar 

  • Perry, J. L., & Carroll, M. E. (2008). The role of impulsive behavior in drug abuse. Psychopharmacology (Berl), 200(1), 1–26.

    CAS  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • Platt, M. L., & Huettel, S. A. (2008). Risky business: the neuroeconomics of decision making under uncertainty. Nat Neurosci, 11(4), 398–403.

    PubMed  CAS  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • Reynolds, B., de Wit, H., & Richards, J. (2002). Delay of gratification and delay discounting in rats. Behav Processes, 59(3), 157.

    PubMed  Google Scholar 

  • Reynolds, B., Penfold, R. B., & Patak, M. (2008). Dimensions of impulsive behavior in adolescents: laboratory behavioral assessments. Exp Clin Psychopharmacol, 16(2), 124–131.

    PubMed  Google Scholar 

  • 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.

    PubMed  CAS  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • 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.

    PubMed  CAS  Google Scholar 

  • Rushworth, M. F., & Behrens, T. E. (2008). Choice, uncertainty and value in prefrontal and cingulate cortex. Nat Neurosci, 11(4), 389–397.

    PubMed  CAS  Google Scholar 

  • Schepis, T. S., Adinoff, B., & Rao, U. (2008). Neurobiological processes in adolescent addictive disorders. Am J Addict, 17(1), 6–23.

    PubMed  Google Scholar 

  • 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.

    PubMed  CAS  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • 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 

  • Shukla, R. K., & Kelley, M. S. (2007). Investigating how decisions to use marijuana change over time. Subst Use Misuse, 42(9), 1401–1425.

    PubMed  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • Spear, L. P. (2000). The adolescent brain and age-related behavioral manifestations. Neurosci Biobehav Rev, 24(4), 417–463.

    PubMed  CAS  Google Scholar 

  • Steinberg, L. (2004). Risk taking in adolescence: what changes, and why? Ann N Y Acad Sci, 1021, 51–58.

    PubMed  Google Scholar 

  • Steinberg, L. (2008). A Social Neuroscience Perspective on Adolescent Risk-Taking. Dev Rev, 28(1), 78–106.

    PubMed  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • 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.

    PubMed  CAS  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • 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.

    CAS  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • Tversky, A., & Kahneman, D. (1981). The framing of decisions and the psychology of choice. Science, 211(4481), 453–458.

    PubMed  CAS  Google Scholar 

  • 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 

  • Verbruggen, F., & Logan, G. D. (2008). Response inhibition in the stop-signal paradigm. Trends Cogn Sci, 12(11), 418–424.

    PubMed  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • 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.

    PubMed  CAS  Google Scholar 

  • Weber, B. J., & Huettel, S. A. (2008). The neural substrates of probabilistic and intertemporal decision making. Brain Res, 1234, 104–115.

    PubMed  CAS  Google Scholar 

  • 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.

    PubMed  CAS  Google Scholar 

  • 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.

    PubMed  CAS  Google Scholar 

  • 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.

    PubMed  CAS  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • Yates, J. F., & Watts, R. A. (1975). Preferences for deferred losses. Organizational Behavior and Human Performance, 13, 294–306.

    Google Scholar 

  • Yurgelun-Todd, D. (2007). Emotional and cognitive changes during adolescence. Curr Opin Neurobiol, 17(2), 251–257.

    PubMed  CAS  Google Scholar 

  • 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.

    PubMed  CAS  Google Scholar 

  • Zuckerman, M. (1994). Behavioral expressions and biosocial bases of sensation seeking. Cambridge ; New York: Cambridge University Press.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Deborah A. Yurgelun-Todd .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer Science+Business Media, LLC

About this chapter

Cite this chapter

Churchwell, J.C., Yurgelun-Todd, D.A. (2011). Neuroimaging, Adolescence, and Risky Behavior. In: Bardo, M., Fishbein, D., Milich, R. (eds) Inhibitory Control and Drug Abuse Prevention. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-1268-8_6

Download citation

  • DOI: https://doi.org/10.1007/978-1-4419-1268-8_6

  • Published:

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4419-1267-1

  • Online ISBN: 978-1-4419-1268-8

  • eBook Packages: MedicineMedicine (R0)

Publish with us

Policies and ethics