Giedd, 1996, Quantitative MRI of the temporal lobe, amygdala, and hippocampus in normal human development: ages 4–18 years, J Comp Neurol, 366, 223, 10.1002/(SICI)1096-9861(19960304)366:2<223::AID-CNE3>3.0.CO;2-7
Giedd, 1999, Brain development during childhood and adolescence: a longitudinal MRI study, Nat Neurosci, 2, 861, 10.1038/13158
Casey, 2000, Structural and functional brain development and its relation to cognitive development, Biol Psychol, 54, 241, 10.1016/S0301-0511(00)00058-2
Østby, 2011, Morphometry and connectivity of the fronto-parietal verbal working memory network in development, Neuropsychologia, 49, 3854, 10.1016/j.neuropsychologia.2011.10.001
Tamnes, 2010, Neuroanatomical correlates of executive functions in children and adolescents: a magnetic resonance imaging (MRI) study of cortical thickness, Neuropsychologia, 48, 2496, 10.1016/j.neuropsychologia.2010.04.024
Andersen, 2000, Dopamine receptor pruning in prefrontal cortex during the periadolescent period in rats, Synapse, 37, 167, 10.1002/1098-2396(200008)37:2<167::AID-SYN11>3.0.CO;2-B
Andersen, 1997, Developmental differences in dopamine synthesis inhibition by (±)-7-OH-DPAT, Naunyn Schmiedebergs Arch Pharmacol, 356, 173, 10.1007/PL00005038
Galvan, 2006, Earlier development of the accumbens relative to orbitofrontal cortex might underlie risk-taking behavior in adolescents, J Neurosci, 26, 6885, 10.1523/JNEUROSCI.1062-06.2006
Braams, 2015, Longitudinal changes in adolescent risk-taking: a comprehensive study of neural responses to rewards, pubertal development, and risk-taking behavior, J Neurosci, 35, 7226, 10.1523/JNEUROSCI.4764-14.2015
Barkley-Levenson, 2014, Neural representation of expected value in the adolescent brain, Proc Natl Acad Sci U S A, 111, 1646, 10.1073/pnas.1319762111
Ernst, 2006, Triadic model of the neurobiology of motivated behavior in adolescence, Psychol Med, 36, 299, 10.1017/S0033291705005891
Somerville, 2010, Developmental neurobiology of cognitive control and motivational systems, Curr Opin Neurobiol, 20, 236, 10.1016/j.conb.2010.01.006
Steinberg, 2010, A dual systems model of adolescent risk-taking, Dev Psychobiol, 52, 216
Haber, 2006, Reward-related cortical inputs define a large striatal region in primates that interface with associative cortical connections, providing a substrate for incentive-based learning, J Neurosci, 26, 8368, 10.1523/JNEUROSCI.0271-06.2006
Luciana, 2012, Incentive motivation, cognitive control, and the adolescent brain: is it time for a paradigm shift?, Child Dev Perspect, 6, 392
Galvan, 2010, Adolescent development of the reward system, Front Hum Neurosci, 4, 6
Harden, 2011, Individual differences in the development of sensation seeking and impulsivity during adolescence: further evidence for a dual systems model, Dev Psychol, 47, 739, 10.1037/a0023279
Daw, 2006, The computational neurobiology of learning and reward, Curr Opin Neurobiol, 16, 199, 10.1016/j.conb.2006.03.006
van den Bos, 2012, Striatum-medial prefrontal cortex connectivity predicts developmental changes in reinforcement learning, Cereb Cortex, 22, 1247, 10.1093/cercor/bhr198
Javadi, 2014, Differential representation of feedback and decision in adolescents and adults, Neuropsychologia, 56, 280, 10.1016/j.neuropsychologia.2014.01.021
Jones, 2014, Adolescent-specific patterns of behavior and neural activity during social reinforcement learning, Cogn Affect Behav Neurosci, 14, 683, 10.3758/s13415-014-0257-z
van Duijvenvoorde, 2008, Evaluating the negative or valuing the positive? Neural mechanisms supporting feedback-based learning across development, J Neurosci, 28, 9495, 10.1523/JNEUROSCI.1485-08.2008
Decker, 2015, Experiential reward learning outweighs instruction prior to adulthood, Cogn Affect Behav Neurosci, 1
Cohen, 2010, A unique adolescent response to reward prediction errors, Nat Neurosci, 13, 669, 10.1038/nn.2558
Hauser, 2015, Cognitive flexibility in adolescence: neural and behavioral mechanisms of reward prediction error processing in adaptive decision making during development, Neuroimage, 104, 347, 10.1016/j.neuroimage.2014.09.018
Ernst, 2005, Amygdala and nucleus accumbens in responses to receipt and omission of gains in adults and adolescents, Neuroimage, 25, 1279, 10.1016/j.neuroimage.2004.12.038
Galvan, 2013, Enhanced striatal sensitivity to aversive reinforcement in adolescents versus adults, J Cogn Neurosci, 25, 284, 10.1162/jocn_a_00326
van der Schaaf, 2011, Distinct linear and non-linear trajectories of reward and punishment reversal learning during development: relevance for dopamine's role in adolescent decision making, Dev Cogn Neurosci, 1, 578, 10.1016/j.dcn.2011.06.007
Christakou, 2013, Neural and psychological maturation of decision-making in adolescence and young adulthood, J Cogn Neurosci, 25, 1807, 10.1162/jocn_a_00447
Niv, 2012, Neural prediction errors reveal a risk-sensitive reinforcement-learning process in the human brain, J Neurosci, 32, 551, 10.1523/JNEUROSCI.5498-10.2012
Frank, 2011, Neurogenetics and pharmacology of learning, motivation, and cognition, Neuropsychopharmacology, 36, 133, 10.1038/npp.2010.96
Dolan, 2013, Goals and habits in the brain, Neuron, 80, 312, 10.1016/j.neuron.2013.09.007
Decker, 2014, The developmental emergence of model-based learning
Millstein, 2002, Judgments about risk and perceived invulnerability in adolescents and young adults, J Res Adolesc, 12, 399, 10.1111/1532-7795.00039
Reyna, 2006, Risk and rationality in adolescent decisioin making: implications for theory, practice, and public policy, Psychol Sci Public Interest, 7, 1, 10.1111/j.1529-1006.2006.00026.x
Schlottmann, 2011, Judgment and decision making in young children, 55
Barkley-Levenson, 2013, Behavioral and neural correlates of loss aversion and risk avoidance in adolescents and adults, Dev Cogn Neurosci, 3, 72, 10.1016/j.dcn.2012.09.007
Tymula, 2012, Adolescents’ risk-taking behavior is driven by tolerance to ambiguity, Proc Natl Acad Sci U S A, 109, 17135, 10.1073/pnas.1207144109
Defoe, 2015, A meta-analysis on age differences in risky decision making: adolescents versus children and adults, Psychol Bull, 1, 48, 10.1037/a0038088
Bechara, 1997, Deciding advantageously before knowing the advantageous strategy, Science, 275, 1293, 10.1126/science.275.5304.1293
Lejuez, 2002, Evaluation of a behavioral measure of risk taking: the Balloon Analogue Risk Task (BART), J Exp Psychol Appl, 8, 75, 10.1037/1076-898X.8.2.75
Figner, 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, 709, 10.1037/a0014983
Hertwig, 2009, The description–experience gap in risky choice, Trends Cogn Sci, 13, 517, 10.1016/j.tics.2009.09.004
Tobler, 2009, Risk-dependent reward value signal in human prefrontal cortex, Proc Natl Acad Sci U S A, 106, 7185, 10.1073/pnas.0809599106
Mohr, 2010, Neural processing of risk, J Neurosci, 30, 6613, 10.1523/JNEUROSCI.0003-10.2010
Preuschoff, 2008, Human insula activation reflects risk prediction errors as well as risk, J Neurosci, 28, 2745, 10.1523/JNEUROSCI.4286-07.2008
van Duijvenvoorde, 2015, Neural correlates of expected risks and returns in risky choice across development, J Neurosci, 35, 1549, 10.1523/JNEUROSCI.1924-14.2015
Rodman, 2015, Reduced cognitive interference by temporal uncertainty in adolescence
Spear, 2000, The adolescent brain and age-related behavioral manifestations, Neurosci Biobehav Rev, 24, 417, 10.1016/S0149-7634(00)00014-2
Adriani, 1998, Elevated novelty seeking and peculiar d-amphetamine sensitization in periadolescent mice compared with adult mice, Behav Neurosci, 112, 1152, 10.1037/0735-7044.112.5.1152
Crone, 2012, Understanding adolescence as a period of social-affective engagement and goal flexibility, Nat Rev Neurosci, 13, 636, 10.1038/nrn3313
Gopnik, 2015, When younger learners can be better (or at least more open-minded) than older ones, Curr Dir Psychol Sci, 24, 87, 10.1177/0963721414556653
Peters, 2011, The neural mechanisms of inter-temporal decision-making: understanding variability, Trends Cogn Sci, 15, 227, 10.1016/j.tics.2011.03.002
Scheres, 2006, Temporal and probabilistic discounting of rewards in children and adolescents: effects of age and ADHD symptoms, Neuropsychologia, 44, 2092, 10.1016/j.neuropsychologia.2005.10.012
Olson, 2009, White matter integrity predicts delay discounting behavior in 9- to 23-year-olds: a diffusion tensor imaging study, J Cogn Neurosci, 21, 1406, 10.1162/jocn.2009.21107
Steinberg, 2009, Age differences in future orientation and delay discounting, Child Dev, 80, 28, 10.1111/j.1467-8624.2008.01244.x
Christakou, 2011, Maturation of limbic corticostriatal activation and connectivity associated with developmental changes in temporal discounting, Neuroimage, 54, 1344, 10.1016/j.neuroimage.2010.08.067
van den Bos, 2015, Adolescent impatience decreases with increased frontostriatal connectivity, Proc Natl Acad Sci U S A, 112, E3765, 10.1073/pnas.1423095112
Steinbeis, 2014, Development of behavioral control and associated vmPFC–DLPFC connectivity explains children's increased resistance to temptation in intertemporal choice, Cereb Cortex
Bartra, 2013, The valuation system: a coordinate-based meta-analysis of BOLD fMRI experiments examining neural correlates of subjective value, Neuroimage, 76, 412, 10.1016/j.neuroimage.2013.02.063
Casey, 2015, Beyond simple models of self-control to circuit-based accounts of adolescent behavior, Annu Rev Psychol, 66, 295, 10.1146/annurev-psych-010814-015156
Vink, 2014, Frontostriatal activity and connectivity increase during proactive inhibition across adolescence and early adulthood, Hum Brain Mapp, 35, 4415, 10.1002/hbm.22483
Olson, 2007, Adolescents’ performance on delay and probability discounting tasks: contributions of age, intelligence, executive functioning, and self-reported externalizing behavior, Pers Individ Dif, 43, 1886, 10.1016/j.paid.2007.06.016
Benoit, 2011, A neural mechanism mediating the impact of episodic prospection on farsighted decisions, J Neurosci, 31, 6771, 10.1523/JNEUROSCI.6559-10.2011
Østby, 2012, Mental time travel and default-mode network functional connectivity in the developing brain, Proc Natl Acad Sci U S A, 109, 16800, 10.1073/pnas.1210627109
Benes, 1989, Myelination of cortical-hippocampal relays during late adolescence, Schizophr Bull, 15, 585, 10.1093/schbul/15.4.585
Christakou, 2014, Present simple and continuous: emergence of self-regulation and contextual sophistication in adolescent decision-making, Neuropsychologia, 65, 302, 10.1016/j.neuropsychologia.2014.09.008
Albert, 2013, The teenage brain peer influences on adolescent decision making, Curr Dir Psychol Sci, 22, 114, 10.1177/0963721412471347
Chen, 2000, Carrying passengers as a risk factor for crashes fatal to 16- and 17-year-old drivers, JAMA, 283, 1578, 10.1001/jama.283.12.1578
Chein, 2011, Peers increase adolescent risk taking by enhancing activity in the brain's reward circuitry, Dev Sci, 14, F1, 10.1111/j.1467-7687.2010.01035.x
Gardner, 2005, Peer influence on risk taking, risk preference, and risky decision making in adolescence and adulthood: an experimental study, Dev Psychol, 41, 625, 10.1037/0012-1649.41.4.625
Weigard, 2014, Effects of anonymous peer observation on adolescents’ preference for immediate rewards, Dev Sci, 17, 71, 10.1111/desc.12099
Logue, 2014, Adolescent mice, unlike adults, consume more alcohol in the presence of peers than alone, Dev Sci, 17, 79, 10.1111/desc.12101
Nelson, 2005, The social re-orientation of adolescence: a neuroscience perspective on the process and its relation to psychopathology, Psychol Med, 35, 163, 10.1017/S0033291704003915
Knoll, 2015, Social influence on risk perception during adolescence, Psychol Sci, 10.1177/0956797615569578
Somerville, 2013, The teenage brain: sensitivity to social evaluation, Curr Dir Psychol Sci, 22, 129, 10.1177/0963721413476512
Somerville, 2013, The medial prefrontal cortex and the emergence of self-conscious emotion in adolescence, Psychol Sci, 24, 1554, 10.1177/0956797613475633
Lourenco, 2015, Consider the source: adolescents and adults similarly follow older adult advice more than peer advice, PLoS One, 10, e0128047, 10.1371/journal.pone.0128047