1932

Abstract

Adolescence is the transition from childhood to adulthood that begins around the onset of puberty and ends with relative independence from the parent. This developmental period is one when an individual is probably stronger, of higher reasoning capacity, and more resistant to disease than ever before, yet when mortality rates increase by 200%. These untimely deaths are not due to disease but to preventable deaths associated with adolescents putting themselves in harm's way (e.g., accidental fatalities). We present evidence that these alarming health statistics are in part due to diminished self-control—the ability to inhibit inappropriate desires, emotions, and actions in favor of appropriate ones. Findings of adolescent-specific changes in self-control and underlying brain circuitry are considered in terms of how evolutionarily based biological constraints and experiences shape the brain to adapt to the unique intellectual, physical, sexual, and social challenges of adolescence.

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2015-01-03
2024-04-24
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Literature Cited

  1. Ambroggi F, Ishikawa A, Fields HL, Nicola SM. 2008. Basolateral amygdala neurons facilitate reward-seeking behavior by exciting nucleus accumbens neurons. Neuron 59:4648–61 [Google Scholar]
  2. Anderson KC, Insel TR. 2006. The promise of extinction research for the prevention and treatment of anxiety disorders. Biol. Psychiatry 60:4319–21 [Google Scholar]
  3. Baird AA, Gruber SA, Fein DA, Mass LC, Steingard RJ. et al. 1999. Functional magnetic resonance imaging of facial affect recognition in children and adolescents. J. Am. Acad. Child Adolesc. Psychiatry 38:2195–99 [Google Scholar]
  4. Bell CC, McBride DF. 2010. Affect regulation and prevention of risky behaviors. J. Am. Med. Assoc. 304:5565–66 [Google Scholar]
  5. Benes FM, Taylor JB, Cunningham MC. 2000. Convergence and plasticity of monoaminergic systems in the medial prefrontal cortex during the postnatal period: implications for the development of psychopathology. Cereb. Cortex 10:101014–27 [Google Scholar]
  6. Bhanji JP, Delgado MR. 2013. Should I buy this book? How we construct prospective value. Nat. Neurosci. 16:101357–59 [Google Scholar]
  7. Bjork JM, Knutson B, Hommer DW. 2008. Incentive-elicited striatal activation in adolescent children of alcoholics. Addiction 103:81308–19 [Google Scholar]
  8. Bjork JM, Smith AR, Chen G, Hommer DW. 2010. Adolescents, adults and rewards: comparing motivational neurocircuitry recruitment using fMRI. PLOS ONE 5:7e11440 [Google Scholar]
  9. Blakemore SJ, Mills KL. 2014. Is adolescence a sensitive period for sociocultural processing?. Annu. Rev. Psychol. 65:187–207 [Google Scholar]
  10. Bonnie RJ, Scott ES. 2013. The teenage brain: adolescent brain research and the law. Curr. Dir. Psychol. Sci. 22:2158–61 [Google Scholar]
  11. Bourgeois JP, Goldman-Rakic PS, Rakic P. 1994. Synaptogenesis in the prefrontal cortex of rhesus monkeys. Cereb. Cortex 4:178–96 [Google Scholar]
  12. Brenhouse HC, Sonntag KC, Andersen SL. 2008. Transient D1 dopamine receptor expression on prefrontal cortex projection neurons: relationship to enhanced motivational salience of drug cues in adolescence. J. Neurosci. 28:102375–82 [Google Scholar]
  13. Casey BJ. 2013. The teenage brain: an overview. Curr. Dir. Psychol. Sci. 22:280–81 [Google Scholar]
  14. Casey BJ, Duhoux S, Cohen MM. 2010. Adolescence: What do transmission, transition, and translation have to do with it?. Neuron 67:5749–60 [Google Scholar]
  15. Casey BJ, Getz S, Galván A. 2008a. The adolescent brain. Dev. Rev. 28:162–77 [Google Scholar]
  16. Casey BJ, Jones RM. 2010. Neurobiology of the adolescent brain and behavior. J. Am. Acad. Child Adolesc. Psychiatry 49:121189–201 [Google Scholar]
  17. Casey BJ, Jones RM, Hare TA. 2008b. The adolescent brain. Ann. N. Y. Acad. Sci. 1124:1111–26 [Google Scholar]
  18. Casey BJ, Oliveri ME, Insel T. 2014. A neurodevelopmental perspective on research domain criteria (RDoC) framework. Biol. Psychiatry. doi: 10.1016/j.biopsych.2014.01.006
  19. Casey BJ, Thomas KM, Davidson MC, Kunz K, Franzen PL. 2002. Dissociating striatal and hippocampal function developmentally with a stimulus-response compatibility task. J. Neurosci. 22:198647–52 [Google Scholar]
  20. Cauffman E, Shulman EP, Steinberg L, Claus E, Banich MT. et al. 2010. Age differences in affective decision making as indexed by performance on the Iowa Gambling Task. Dev. Psychol. 46:1193–207 [Google Scholar]
  21. Chein J, Albert D, O'Brien L, Uckert K, Steinberg L. 2011. Peers increase adolescent risk taking by enhancing activity in the brain's reward circuitry. Dev. Sci. 14:2F1–10 [Google Scholar]
  22. Chen LH, Baker SP, Braver ER, Li G. 2000. Carrying passengers as a risk factor for crashes fatal to 16- and 17-year-old drivers. J. Am. Med. Assoc. 283:121578–82 [Google Scholar]
  23. Cohen AO, Casey BJ. 2014. Rewiring juvenile justice: the intersection of developmental neuroscience and legal policy. Trends Cogn. Sci. 18:263–65 [Google Scholar]
  24. Cohen JD. 2005. The vulcanization of the human brain: a neural perspective on interactions between cognition and emotion. J. Econ. Perspect. 19:43–24 [Google Scholar]
  25. Cohen JR, Asarnow RF, Sabb FW, Bilder RM, Bookheimer SY. et al. 2010. A unique adolescent response to reward prediction errors. Nat. Neurosci. 13:6669–71 [Google Scholar]
  26. Cohen-Gilbert JE, Killgore WDS, White CN, Schwab ZJ, Crowley DJ. et al. 2014. Differential influence of safe versus threatening facial expressions on decision-making during an inhibitory control task in adolescence and adulthood. Dev. Sci. 17:2212–23 [Google Scholar]
  27. Cohn LD, Macfarlane S, Yanez C, Imai WK. 1995. Risk-perception: differences between adolescents and adults. Health Psychol. 14:3217–22 [Google Scholar]
  28. Crockett CM, Pope TR. 1993. Consequences of sex differences in dispersal for red howler monkeys. Juvenile Primates: Life History, Development, and Behavior ME Pereira, LA Fairbanks 104–18 Chicago: Univ. Chicago Press [Google Scholar]
  29. Cromwell HC, Schultz W. 2003. Effects of expectations for different reward magnitudes. J. Neurophysiol. 89:2823–38 [Google Scholar]
  30. Csikszentmihalyi M, Larson R. 1987. Validity and reliability of the experience-sampling method. J. Nerv. Ment. Dis. 175:9526–36 [Google Scholar]
  31. Cunningham MG, Bhattacharyya S, Benes FM. 2008. Increasing interaction of amygdalar afferents with GABAergic interneurons between birth and adulthood. Cereb. Cortex 18:71529–35 [Google Scholar]
  32. Daly M, Wilson M. 1987. Evolutionary social psychology and family homicide. Science 242:4878519–24 [Google Scholar]
  33. Davidson K, Scott J, Schmidt U, Tata P, Thornton S, Tyrer P. 2004. Therapist competence and clinical outcome in the Prevention of Parasuicide by Manual Assisted Cognitive Behaviour Therapy Trial: the POPMACT study. Psychol. Med. 34:5855–63 [Google Scholar]
  34. Davis M, Whalen PJ. 2001. The amygdala: vigilance and emotion. Mol. Psychiatry 6:113–34 [Google Scholar]
  35. Dmitrieva J, Monahan KC, Cauffman E, Steinberg L. 2012. Arrested development: the effects of incarceration on the development of psychosocial maturity. Dev. Psychopathol. 24:31073–90 [Google Scholar]
  36. Dreyfuss MD, Caudle K, Drysdale AT, Johnston NE, Cohen AO. et al. 2014. Teens impulsively react rather than retreat from threat. Dev. Neurosci. doi: 10.1159/000357755
  37. Drysdale AT, Hartley CA, Pattwell SS, Ruberry EJ, Somerville LH. et al. 2013. Fear and anxiety from principle to practice: implications for when to treat youth with anxiety disorders. Biol. Psychiatry 75:e19–20
  38. Eigsti IM, Zayas V, Mischel W, Shoda Y, Ayduk O. et al. 2006. Predicting cognitive control from preschool to late adolescence and young adulthood. Psychol. Sci. 17:6478–84 [Google Scholar]
  39. Erikson EH. 1968. Identity: Youth and Crisis New York: Norton
  40. Ernst M, Pine DS, Hardin M. 2006. Triadic model of the neurobiology of motivated behavior in adolescence. Psychol. Med. 36:3299–312 [Google Scholar]
  41. Fareri DS, Niznikiewicz MA, Lee VK, Delgado MR. 2012. Social network modulation of reward-related signals. J. Neurosci. 32:269045–52 [Google Scholar]
  42. Figner B, Mackinlay RJ, Wilkening F, Weber EU. 2009. Affective and deliberative processes in risky choice: age differences in risk taking in the Columbia Card Task. J. Exp. Psychol. Learn. Mem. Cogn. 35:3709–30 [Google Scholar]
  43. Finlay BL. 2007. Endless minds most beautiful. Dev. Sci. 10:130–34 [Google Scholar]
  44. Fiorillo CD, Tobler PN, Schultz W. 2003. Discrete coding of reward probability and uncertainty by dopamine neurons. Science 299:56141898–902 [Google Scholar]
  45. Floresco SB, Maric TT. 2007. Dopaminergic regulation of inhibitory and excitatory transmission in the basolateral amygdala–prefrontal cortical pathway. J. Neurosci. 27:82045–57 [Google Scholar]
  46. Galván A, Hare TA, Davidson M, Spicer J, Glover G, Casey BJ. 2005. The role of ventral frontostriatal circuitry in reward-based learning in humans. J. Neurosci. 25:388650–56 [Google Scholar]
  47. Galván A, Hare TA, Parra CE, Penn J, Voss H. et al. 2006. Earlier development of the accumbens relative to orbitofrontal cortex might underlie risk-taking behavior in adolescents. J. Neurosci. 26:256885–92 [Google Scholar]
  48. Galván A, Schonberg T, Mumford J, Kohno M, Poldrack RA, London ED. 2013. Greater risk sensitivity of dorsolateral prefrontal cortex in young smokers than in nonsmokers. Psychopharmacology 229:2345–55 [Google Scholar]
  49. Gardner M, Steinberg L. 2005. Peer influence on risk taking, risk preference, and risky decision making in adolescence and adulthood: an experimental study. Dev. Psychol. 41:4625–35 [Google Scholar]
  50. Geier CF, Terwilliger R, Teslovich T, Velanova K, Luna B. 2010. Immaturities in reward processing and its influence on inhibitory control in adolescence. Cereb. Cortex 20:71613–29 [Google Scholar]
  51. Gogtay N, Giedd JN, Lusk L, Hayashi KM, Greenstein D. et al. 2004. Dynamic mapping of human cortical development during childhood through early adulthood. Proc. Natl. Acad. Sci. USA 101:8174–79 [Google Scholar]
  52. Grant BF, Dawson DA. 1997. Age at onset of alcohol use and its association with DSM-IV alcohol abuse and dependence: results from the National Longitudinal Alcohol Epidemiologic Survey. J. Subst. Abuse 9:103–10 [Google Scholar]
  53. Groenewegen HJ, Berendse HW. 1990. Connections of the subthalamic nucleus with ventral striatopallidal parts of the basal ganglia in the rat. J. Comp. Neurol. 294:4607–22 [Google Scholar]
  54. Grose-Fifer J, Rodrigues A, Hoover S, Zottoli T. 2013. Attentional capture by emotional faces in adolescence. Adv. Cogn. Psychol. 9:281–91 [Google Scholar]
  55. Guyer AE, Choate VR, Pine DS, Nelson EE. 2012. Neural circuitry underlying affective response to peer feedback in adolescence. Soc. Cogn. Affect. Neurosci. 7:181–92 [Google Scholar]
  56. Guyer AE, McClure-Tone EB, Shiffrin ND, Pine DS, Nelson EE. 2009. Probing the neural correlates of anticipated peer evaluation in adolescence. Child Dev. 80:41000–15 [Google Scholar]
  57. Guyer AE, Monk CS, McClure-Tone EB, Nelson EE, Roberson-Nay R. et al. 2008. A developmental examination of amygdala response to facial expressions. J. Cogn. Neurosci. 20:91565–82 [Google Scholar]
  58. Hall GS. 1904. Adolescence: Its Psychology and Its Relation to Physiology, Anthropology, Sex, Crime, Religion, and Education I II Englewood Cliffs, NJ: Prentice Hall
  59. Hardin MG, Ernst M. 2009. Functional brain imaging of development-related risk and vulnerability for substance use in adolescents. J. Addict. Med. 3:247–54 [Google Scholar]
  60. Hardin MG, Mandell D, Mueller SC, Dahl RE, Pine DS, Ernst M. 2009. Inhibitory control in anxious and healthy adolescents is modulated by incentive and incidental affective stimuli. J. Child Psychol. Psychiatry 50:121550–58 [Google Scholar]
  61. Hare TA, Tottenham N, Davidson MC, Glover GH, Casey BJ. 2005. Contributions of amygdala and striatal activity in emotion regulation. Biol. Psychiatry 57:6624–32 [Google Scholar]
  62. Hare TA, Tottenham N, Galvan A, Voss HU, Glover GH, Casey BJ. 2008. Biological substrates of emotional reactivity and regulation in adolescence during an emotional go-nogo task. Biol. Psychiatry 63:10927–34 [Google Scholar]
  63. Helfinstein SM, Casey BJ. 2014. Commentary on Spielberg et al., “Exciting fear in adolescence: Does pubertal development alter threat processing?. Dev. Cogn. Neurosci. 8:96–97 [Google Scholar]
  64. Huttenlocher PR, Dabholkar AS. 1997. Regional differences in synaptogenesis in human cerebral cortex. J. Comp. Neurol. 387:2167–78 [Google Scholar]
  65. Insel TR, Fernald RD. 2004. How the brain processes social information: searching for the social brain. Annu. Rev. Neurosci. 27:697–722 [Google Scholar]
  66. Irwin CE, Millstein SG. 1986. Biopsychosocial correlates of risk-taking behaviors during adolescence: can the physician intervene?. J. Adolesc. Health Care 7:6 Suppl.82–86S [Google Scholar]
  67. Ishikawa A, Nakamura S. 2003. Convergence and interaction of hippocampal and amygdalar projections within the prefrontal cortex in the rat. J. Neurosci. 23:319987–95 [Google Scholar]
  68. Izuma K, Saito DN, Sadato N. 2008. Processing of social and monetary rewards in the human striatum. Neuron 58:2284–94 [Google Scholar]
  69. Jones RM, Somerville LH, Li J, Ruberry EJ, Libby V. et al. 2011. Behavioral and neural properties of social reinforcement learning. J. Neurosci. 31:3713039–45 [Google Scholar]
  70. Jones RM, Somerville LH, Li J, Ruberry EJ, Powers A. et al. 2014. Adolescent-specific patterns of behavior and neural activity during social reinforcement learning. Cogn. Affect. Behav. Neurosci. 14:683–97
  71. Katoh-Semba R, Takeuchi IK, Semba R, Kato K. 1997. Distribution of brain-derived neurotrophic factor in rats and its changes with development in the brain. J. Neurochem. 69:134–42 [Google Scholar]
  72. Kessler RC, Berglund P, Demler O, Jin R, Merikangas KR, Walters EE. 2005. Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Arch. Gen. Psychiatry 62:593–602 [Google Scholar]
  73. Krettek JE, Price JL. 1977. The cortical projections of the mediodorsal nucleus and adjacent thalamic nuclei in the rat. J. Comp. Neurol. 171:2157–91 [Google Scholar]
  74. LeDoux M. 1996. Isoperimetry and Gaussian analysis. Lectures on Probability Theory and Statistics P Bonnard 165–294 Berlin: /Heidelberg: Springer [Google Scholar]
  75. LeDoux J. 2002. Cognitive-emotional interactions: Listen to the brain. Cognitive Neuroscience of Emotion RD Land, L Nadel 129–55 Oxford: Oxford Univ. Press [Google Scholar]
  76. Levita L, Hare TA, Voss HU, Glover G, Ballon DJ, Casey BJ. 2009. The bivalent side of the nucleus accumbens. NeuroImage 44:31178–87 [Google Scholar]
  77. Li J, Schiller D, Schoenbaum G, Phelps EA, Daw ND. 2011. Differential roles of human striatum and amygdala in associative learning. Nat. Neurosci. 14:101250–52 [Google Scholar]
  78. Lin A, Adolphs R, Rangel A. 2012. Social and monetary reward learning engage overlapping neural substrates. Soc. Cogn. Affect. Neurosci. 7:3274–81 [Google Scholar]
  79. Logue S, Chein J, Gould T, Holliday E, Steinberg L. 2014. Adolescent mice, unlike adults, consume more alcohol in the presence of peers than alone. Dev. Sci. 17:179–85 [Google Scholar]
  80. Maren S. 2001. Multiple roles for synaptic plasticity in Pavlovian fear conditioning. Neuronal Mechanisms of Memory Formation: Concepts of Long-Term Potentiation and Beyond C Hölscher 77–99 Cambridge, UK: Cambridge Univ. Press [Google Scholar]
  81. Masten AS, Cicchetti D. 2010. Developmental cascades. Dev. Psychopathol. 22:3491–95 [Google Scholar]
  82. Masten CL, Juvonen J, Spatzier A. 2009. Relative importance of parents and peers: differences in academic and social behaviors at three grade levels spanning late childhood and early adolescence. J. Early Adolesc. 29:6773–99 [Google Scholar]
  83. McCallum J, Kim JH, Richardson R. 2010. Impaired extinction retention in adolescent rats: effects of D-cycloserine. Neuropsychopharmacology 35:2134–42 [Google Scholar]
  84. McClure SM, Laibson DI, Loewenstein G, Cohen JD. 2004. Separate neural systems value immediate and delayed monetary rewards. Science 306:5695503–7 [Google Scholar]
  85. Mead M. 1928. Coming of Age in Samoa: A Psychological Study of Primitive Youth for Western Civilisation New York: W. Morrow
  86. Merikangas KR, He JP, Burstein M, Swanson SA, Avenevoli S. et al. 2010. Lifetime prevalence of mental disorders in U.S. adolescents: results from the National Comorbidity Survey Replication—Adolescent Supplement (NCS-A). J. Am. Acad. Child Adolesc. Psychiatry 49:980–89 [Google Scholar]
  87. Meschke LL, Silbereisen RK. 1997. The influence of puberty, family processes, and leisure activities on the timing of first sexual experience. J. Adolesc. 20:4403–18 [Google Scholar]
  88. Meshi D, Morawetz C, Heekeren HR. 2013. Nucleus accumbens response to gains in reputation for the self relative to gains for others predicts social media use. Front. Hum. Neurosci. 29:7439 [Google Scholar]
  89. Metcalfe J, Mischel W. 1999. A hot/cool-system analysis of delay of gratification: dynamics of willpower. Psychol. Rev. 106:13–19 [Google Scholar]
  90. Mischel W, Shoda Y, Peake PK. 1988. The nature of adolescent competencies predicted by preschool delay of gratification. J. Personal. Soc. Psychol. 54:4687–96 [Google Scholar]
  91. Mischel W, Shoda Y, Rodriguez MI. 1989. Delay of gratification in children. Science 244:4907933–38 [Google Scholar]
  92. Monk CS, McClure EB, Nelson EE, Zarahn E, Bilder RM. et al. 2003. Adolescent immaturity in attention-related brain engagement to emotional facial expressions. NeuroImage 20:1420–28 [Google Scholar]
  93. Natl. Res. Counc 2013. Reforming Juvenile Justice: A Developmental Approach. Washington, DC: Natl. Acad. Press
  94. O'Doherty JP, Dayan P, Friston K, Critchley H, Dolan RJ. 2003. Temporal difference models and reward-related learning in the human brain. Neuron 38:2329–37 [Google Scholar]
  95. Öhman A, Mineka S. 2001. Fears, phobias, and preparedness: toward an evolved module of fear and fear learning. Psychol. Rev. 108:3483–522 [Google Scholar]
  96. Pattwell SS, Bath KG, Casey BJ, Ninan I, Lee FS. 2011. Selective early-acquired fear memories undergo temporary suppression during adolescence. Proc. Natl. Acad. Sci. USA 108:31182–87 [Google Scholar]
  97. Pattwell SS, Duhoux S, Hartley CA, Johnson DC, Jing D. et al. 2012. Altered fear learning across development in both mouse and human. Proc. Natl. Acad. Sci. USA 109:16319–23 [Google Scholar]
  98. Paus T, Keshavan M, Giedd JN. 2008. Why do many psychiatric disorders emerge during adolescence?. Nat. Rev. Neurosci. 9:947–57 [Google Scholar]
  99. Phelps EA, Delgado MR, Nearing KI, LeDoux JE. 2004. Extinction learning in humans: role of the amygdala and vmPFC. Neuron 43:6897–905 [Google Scholar]
  100. Rademacher L, Krach S, Kohls G, Irmak A, Gründer G, Spreckelmeyer KN. 2010. Dissociation of neural networks for anticipation and consumption of monetary and social rewards. NeuroImage 49:43276–85 [Google Scholar]
  101. Roesch MR, Calu DJ, Esber GR, Schoenbaum G. 2010. Neural correlates of variations in event processing during learning in basolateral amygdala. J. Neurosci. 30:72464–71 [Google Scholar]
  102. Scott ES, Steinberg L. 2008. Adolescent development and the regulation of youth crime. Future Child 18:215–33 [Google Scholar]
  103. Skinner BF. 1938. The Behavior of Organisms: An Experimental Analysis Cambridge, MA: B.F. Skinner Found.
  104. Somerville LH. 2013. The teenage brain sensitivity to social evaluation. Curr. Dir. Psychol. Sci. 22:2121–27 [Google Scholar]
  105. Somerville LH, Hare T, Casey BJ. 2011. Frontostriatal maturation predicts cognitive control failure to appetitive cues in adolescents. J. Cogn. Neurosci. 23:92123–34 [Google Scholar]
  106. Somerville LH, Jones RM, Ruberry EJ, Dyke JP, Glover G, Casey BJ. 2013. The medial prefrontal cortex and the emergence of self-conscious emotion in adolescence. Psychol. Sci. 24:81554–62 [Google Scholar]
  107. Somerville LH, van den Bulk BG, Skwara AC. 2014. Response to: the triadic model perspective for the study of adolescent motivated behavior. Brain Cogn. In press. doi: 10.1016/j.bandc.2014.01.003
  108. Spear L. 2010. The Behavioral Neuroscience of Adolescence New York: Norton
  109. Steinberg L. 2005. Cognitive and affective development in adolescence. Trends Cogn. Neurosci. 9:269–74 [Google Scholar]
  110. Steinberg L. 2009. Adolescent development and juvenile justice. Annu. Rev. Clin. Psychol. 5:459–85 [Google Scholar]
  111. Steinberg L. 2012. Should the science of adolescent brain development inform public policy?. Issues Sci. Technol. 28:367–78 [Google Scholar]
  112. Steinberg L, Albert D, Cauffman E, Banich M, Graham S, Woolard J. 2008. Age differences in sensation seeking and impulsivity as indexed by behavior and self-report: evidence for a dual systems model. Dev. Psychol. 44:61764–78 [Google Scholar]
  113. Steinberg L, Graham S, O'Brien L, Woolard J, Cauffman E, Banich M. 2009. Age differences in future orientation and delay discounting. Child Dev. 80:128–44 [Google Scholar]
  114. Steinberg L, Monahan KC. 2007. Age differences in resistance to peer influence. Dev. Psychol. 43:61531–43 [Google Scholar]
  115. Stuber GD, Sparta DR, Stamatakis AM, van Leeuwen WA, Hardjoprajitno JE. et al. 2011. Excitatory transmission from the amygdala to nucleus accumbens facilitates reward seeking. Nature 475:7356377–80 [Google Scholar]
  116. Teslovich T, Mulder M, Franklin NT, Ruberry EJ, Millner A. et al. 2014. Adolescents let sufficient evidence accumulate before making a decision when large incentives are at stake. Dev. Sci. 17:159–70 [Google Scholar]
  117. Thomas KM, Drevets WC, Whalen PJ, Eccard CH, Dahl RE. et al. 2001. Amygdala response to facial expressions in children and adults. Biol. Psychiatry 49:4309–16 [Google Scholar]
  118. Tseng KY, O'Donnell P. 2007. Dopamine modulation of prefrontal cortical interneurons changes during adolescence. Cereb. Cortex 17:51235–40 [Google Scholar]
  119. van den Bos W, Cohen MX, Kahnt T, Crone EA. 2012. Striatum-medial prefrontal cortex connectivity predicts developmental changes in reinforcement learning. Cereb. Cortex 22:61247–55 [Google Scholar]
  120. van den Bos W, McClure SM, Harris LT, Fiske ST, Cohen JD. 2007. Dissociating affective evaluation and social cognitive processes in the ventral medial prefrontal cortex. Cogn. Affect. Behav. Neurosci. 7:4337–46 [Google Scholar]
  121. van den Bos W, van Dijk E, Westenberg M, Rombouts SA, Crone EA. 2009. What motivates repayment? Neural correlates of reciprocity in the Trust Game. Soc. Cogn. Affect. Neurosci. 4:3294–304 [Google Scholar]
  122. van Leijenhorst L, Zanolie K, Van Meel CS, Westenberg PM, Rombouts SA, Crone EA. 2010. What motivates the adolescent? Brain regions mediating reward sensitivity across adolescence. Cereb. Cortex 20:161–69 [Google Scholar]
  123. Walkup JT, Albano AM, Piacentini J, Birmaher B, Compton SN. et al. 2008. Cognitive behavioral therapy, sertraline, or a combination in childhood anxiety. N. Engl. J. Med. 359:262753–66 [Google Scholar]
  124. Weigard A, Chein J, Albert D, Smith A, Steinberg L. 2014. Effects of anonymous peer observation on adolescents' preference for immediate rewards. Dev. Sci. 17:171–78 [Google Scholar]
  125. Wright CI, Groenewegen HJ. 1995. Patterns of convergence and segregation in the medial nucleus accumbens of the rat: relationships of prefrontal cortical, midline thalamic, and basal amygdaloid afferents. J. Comp. Neurol. 361:3383–403 [Google Scholar]
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