The neuroscience of adolescent decision-making

Current Opinion in Behavioral Sciences - Tập 5 - Trang 108-115 - 2015
Catherine A Hartley1, Leah H Somerville2
1Sackler Institute for Developmental Psychobiology, Weill Cornell Medical College, 1300 York Avenue, Box 140, New York, NY 10065, USA
2Department of Psychology and Center for Brain Science, Harvard University, 52 Oxford Street, Room 290, Cambridge, MA 02138, USA

Tài liệu tham khảo

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