Behavior Genetics

, Volume 44, Issue 4, pp 407–418 | Cite as

Adolescent Drinking and Motivated Decision-Making: A Cotwin-Control Investigation with Monozygotic Twins

  • Stephen M. Malone
  • Monica Luciana
  • Sylia Wilson
  • Jordan C. Sparks
  • Ruskin H. Hunt
  • Kathleen M. Thomas
  • William G. Iacono
Brief Communication


The present study used a monozygotic (MZ) cotwin-control (CTC) design to investigate associations between alcohol use and performance on the Iowa gambling task (IGT) in a sample of 96 adolescents (half female). The MZ CTC design is well suited to shed light on whether poor decision-making, as reflected on IGT performance, predisposes individuals to abuse substances or is a consequence of use. Participants completed structural MRI scans as well, from which we derived gray matter volumes for cortical and subcortical regions involved in IGT performance and reduced in adolescents with problematic alcohol use. Drinking was associated with poorer task performance and with reduced volume of the left lateral orbital-frontal cortex. CTC analyses indicated that the former was due to differences between members of twin pairs in alcohol use (suggesting a causal effect of alcohol), whereas the latter was due to factors shared by twins (consistent with a pre-existing vulnerability for use). Although these preliminary findings warrant replication, they suggest that normative levels of alcohol use may diminish the quality of adolescent decision-making and thus have potentially important public health implications.


Adolescent Drinking Decision-making Cotwin-control Identical twins 


  1. Austin PC (2011) An introduction to propensity score methods for reducing the effects of confounding in observational studies. Multivar Behav Res 46(3):399–424CrossRefGoogle Scholar
  2. Bechara A, Martin EM (2004) Impaired decision making related to working memory deficits in individuals with substance addictions. Neuropsychology 18(1):152–162PubMedCrossRefGoogle Scholar
  3. Bechara A, Damasio AR, Damasio H, Anderson SW (1994) Insensitivity to future consequences following damage to human prefrontal cortex. Cognition 50(1–3):7–15PubMedCrossRefGoogle Scholar
  4. Bechara A, Tranel D, Damasio H (2000) Characterization of the decision-making deficit of patients with ventromedial prefrontal cortex lesions. Brain 123(Pt 11):2189–2202PubMedCrossRefGoogle Scholar
  5. Bechara A, Dolan S, Denburg N, Hindes A, Anderson SW, Nathan PE (2001) Decision-making deficits, linked to a dysfunctional ventromedial prefrontal cortex, revealed in alcohol and stimulant abusers. Neuropsychologia 39(4):376–389PubMedCrossRefGoogle Scholar
  6. Begg MD, Parides MK (2003) Separation of individual-level and cluster-level covariate effects in regression analysis of correlated data. Stat Med 22(16):2591–2602PubMedCrossRefGoogle Scholar
  7. Bolla KI, Eldreth DA, London ED, Kiehl KA, Mouratidis M, Contoreggi C, Matochik JA, Kurian V, Cadet JL, Kimes AS, Funderburk FR, Ernst M (2003) Orbitofrontal cortex dysfunction in abstinent cocaine abusers performing a decision-making task. Neuroimage 19(3):1085–1094PubMedCentralPubMedCrossRefGoogle Scholar
  8. Bowman CH, Turnbull OH (2003) Real versus facsimile reinforcers on the Iowa Gambling Task. Brain Cogn 53(2):207–210PubMedCrossRefGoogle Scholar
  9. Camerer CF, Hogarth RM (1999) The effects of financial incentives in experiments: a review and capital-labor-production framework. J Risk Uncertain 19(1–3):7–42CrossRefGoogle Scholar
  10. Camille N, Coricelli G, Sallet J, Pradat-Diehl P, Duhamel JR, Sirigu A (2004) The involvement of the orbitofrontal cortex in the experience of regret. Science 304(5674):1167–1170PubMedCrossRefGoogle Scholar
  11. Cantrell H, Finn PR, Rickert ME, Lucas J (2008) Decision making in alcohol dependence: insensitivity to future consequences and comorbid disinhibitory psychopathology. Alcohol Clin Exp Res 32(8):1398–1407PubMedCentralPubMedCrossRefGoogle Scholar
  12. Casey BJ, Jones RM (2010) Neurobiology of the adolescent brain and behavior: implications for substance use disorders. J Am Acad Child Adolesc Psychiatry 49(12):1189–1201 quiz 1285PubMedCentralPubMedGoogle Scholar
  13. Cheetham A, Allen NB, Whittle S, Simmons JG, Yucel M, Lubman DI (2012) Orbitofrontal volumes in early adolescence predict initiation of cannabis use: a 4-year longitudinal and prospective study. Biol Psychiatry 71(8):684–692PubMedCrossRefGoogle Scholar
  14. Clark JJ, Nasrallah NA, Hart AS, Collins AL, Bernstein IL, Phillips PE (2012) Altered risk-based decision making following adolescent alcohol use results from an imbalance in reinforcement learning in rats. PLoS One 7(5):e37357PubMedCentralPubMedCrossRefGoogle Scholar
  15. Crews FT, Braun CJ, Hoplight B, Switzer RC, Knapp DJ (2000) Binge ethanol consumption causes differential brain damage in young adolescent rats compared with adult rats. Alcohol-Clin Exp Res 24(11):1712–1723PubMedCrossRefGoogle Scholar
  16. Crone EA, van der Molen MW (2004) Developmental changes in real life decision making: performance on a gambling task previously shown to depend on the ventromedial prefrontal cortex. Dev Neuropsychol 25(3):251–279PubMedCrossRefGoogle Scholar
  17. Cukrowicz KC, Taylor J, Schatschneider C, Iacono WG (2006) Personality differences in children and adolescents with attention-deficit/hyperactivity disorder, conduct disorder, and controls. J Child Psychol Psychiatry 47(2):151–159PubMedCrossRefGoogle Scholar
  18. De Bellis MD, Clark DB, Beers SR, Soloff PH, Boring AM, Hall J, Kersh A, Keshavan MS (2000) Hippocampal volume in adolescent-onset alcohol use disorders. Am J Psychiatry 157(5):737–744PubMedCrossRefGoogle Scholar
  19. De Bellis MD, Narasimhan A, Thatcher DL, Keshavan MS, Soloff P, Clark DB (2005) Prefrontal cortex, thalamus, and cerebellar volumes in adolescents and young adults with adolescent-onset alcohol use disorders and comorbid mental disorders. Alcohol Clin Exp Res 29(9):1590–1600PubMedCrossRefGoogle Scholar
  20. Dom G, De Wilde B, Hulstijn W, van den Brink W, Sabbe B (2006) Decision-making deficits in alcohol-dependent patients with and without comorbid personality disorder. Alcohol Clin Exp Res 30(10):1670–1677PubMedCrossRefGoogle Scholar
  21. Ernst M, Grant SJ, London ED, Contoreggi CS, Kimes AS, Spurgeon L (2003) Decision making in adolescents with behavior disorders and adults with substance abuse. Am J Psychiatry 160(1):33–40PubMedCrossRefGoogle Scholar
  22. Ernst M, Luckenbaugh DA, Moolchan ET, Temple VA, Jenness J, Korelitz KE, London ED, Kimes AS (2010) Decision-making and facial emotion recognition as predictors of substance-use initiation among adolescents. Addict Behav 35(3):286–289PubMedCrossRefGoogle Scholar
  23. Fairchild G, van Goozen SH, Stollery SJ, Aitken MR, Savage J, Moore SC, Goodyer IM (2009) Decision making and executive function in male adolescents with early-onset or adolescence-onset conduct disorder and control subjects. Biol Psychiatry 66(2):162–168PubMedCentralPubMedCrossRefGoogle Scholar
  24. Fischl B, Sereno MI, Dale AM (1999) Cortical surface-based analysis. II: inflation, flattening, and a surface-based coordinate system. Neuroimage 9(2):195–207PubMedCrossRefGoogle Scholar
  25. Fischl B, Salat DH, Busa E, Albert M, Dieterich M, Haselgrove C, van der Kouwe A, Killiany R, Kennedy D, Klaveness S, Montillo A, Makris N, Rosen B, Dale AM (2002) While brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron 33(3):341–355PubMedCrossRefGoogle Scholar
  26. Fischl B, van der Kouwe A, Destrieux C, Halgren E, Segonne F, Salat DH, Busa E, Seidman LJ, Goldstein J, Kennedy D, Caviness V, Makris N, Rosen B, Dale AM (2004) Automatically parcellating the human cerebral cortex. Cereb Cortex 14(1):11–22PubMedCrossRefGoogle Scholar
  27. George S, Rogers RD, Duka T (2005) The acute effect of alcohol on decision making in social drinkers. Psychopharmacology 182(1):160–169PubMedCrossRefGoogle Scholar
  28. Goudriaan AE, Oosterlaan J, de Beurs E, van den Brink W (2005) Decision making in pathological gambling: a comparison between pathological gamblers, alcohol dependents, persons with Tourette syndrome, and normal controls. Brain Res Cogn Brain Res 23(1):137–151PubMedCrossRefGoogle Scholar
  29. Goudriaan AE, Grekin ER, Sher KJ (2007) Decision making and binge drinking: a longitudinal study. Alcohol Clin Exp Res 31(6):928–938PubMedCentralPubMedCrossRefGoogle Scholar
  30. Gupta R, Duff MC, Denburg NL, Cohen NJ, Bechara A, Tranel D (2009) Declarative memory is critical for sustained advantageous complex decision-making. Neuropsychologia 47(7):1686–1693PubMedCentralPubMedCrossRefGoogle Scholar
  31. Hanson KL, Luciana M, Sullwold K (2008) Reward-related decision-making deficits and elevated impulsivity among MDMA and other drug users. Drug Alcohol Depend 96(1–2):99–110PubMedCentralPubMedCrossRefGoogle Scholar
  32. Hermann D, Lemenager T, Gelbke J, Welzel H, Skopp G, Mann K (2009) Decision making of heavy cannabis users on the Iowa gambling task: stronger association with THC of hair analysis than with personality traits of the Tridimensional Personality Questionnaire. Eur Addict Res 15(2):94–98PubMedCrossRefGoogle Scholar
  33. Hertwig R, Ortmann A (2001) Experimental practices in economics: a methodological challenge for psychologists? Behav Brain Sci 24(3):383–403 discussion 403-351 PubMedGoogle Scholar
  34. Hicks BM, Schalet BD, Malone SM, Iacono WG, McGue M (2011) Psychometric and genetic architecture of substance use disorder and behavioral disinhibition measures for gene association studies. Behav Genet 41(4):459–475PubMedCentralPubMedCrossRefGoogle Scholar
  35. Hill SY, Wang S, Kostelnik B, Carter H, Holmes B, McDermott M, Zezza N, Stiffler S, Keshavan MS (2009) Disruption of orbitofrontal cortex laterality in offspring from multiplex alcohol dependence families. Biol Psychiatry 65(2):129–136PubMedCentralPubMedCrossRefGoogle Scholar
  36. Hiller-Sturmhofel S, Swartzwelder HS (2004) Alcohol’s effects on the adolescent brain—what can be learned from animal models. Alcohol Res Health 28(4):213–221Google Scholar
  37. Hobson CW, Scott S, Rubia K (2011) Investigation of cool and hot executive function in ODD/CD independently of ADHD. J Child Psychol Psychiatry 52(10):1035–1043PubMedCrossRefGoogle Scholar
  38. Iacono WG, McGue M (2002) Minnesota twin family study. Twin Res 5(5):482–487PubMedCrossRefGoogle Scholar
  39. Iacono WG, Carlson SR, Taylor J, Elkins IJ, McGue M (1999) Behavioral disinhibition and the development of substance-use disorders: findings from the Minnesota twin family study. Dev Psychopathol 11(4):869–900PubMedCrossRefGoogle Scholar
  40. Imai K, Ratkovic M (2013) Covariate balancing propensity score. J R Stat Soc B 76(1):243–246CrossRefGoogle Scholar
  41. Jacobus J, Tapert SF (2013) Neurotoxic effects of alcohol in adolescence. Annu Rev Clin Psychol 9:703–721PubMedCrossRefGoogle Scholar
  42. Jenkinson M, Bannister P, Brady M, Smith S (2002) Improved optimization for the robust and accurate linear registration and motion correction of brain images. Neuroimage 17(2):825–841PubMedCrossRefGoogle Scholar
  43. Johnson W, McGue M, Iacono WG (2006) Genetic and environmental influences on academic achievement trajectories during adolescence. Dev Psychol 42(3):514–532PubMedCrossRefGoogle Scholar
  44. Johnson W, McGue M, Iacono WG (2007) How parents influence school grades: hints from a sample of adoptive and biological families. Learn Individ Differ 17(3):201–219PubMedCentralPubMedCrossRefGoogle Scholar
  45. Johnson CA, Xiao L, Palmer P, Sun P, Wang Q, Wei Y, Jia Y, Grenard JL, Stacy AW, Bechara A (2008) Affective decision-making deficits, linked to a dysfunctional ventromedial prefrontal cortex, revealed in 10th grade Chinese adolescent binge drinkers. Neuropsychologia 46(2):714–726PubMedCentralPubMedCrossRefGoogle Scholar
  46. Johnston LD, O’Malley PM, Bachman JG, Schulenberg J (2011) Marijuana use continues to rise among US teens, while alcohol use hits historic lows. University of Michigan News Service, Ann ArborGoogle Scholar
  47. Keyes MA, Malone SM, Elkins IJ, Legrand LN, McGue M, Iacono WG (2009) The enrichment study of the Minnesota twin family study: increasing the yield of twin families at high risk for externalizing psychopathology. Twin Res Hum Genet 12(5):489PubMedCentralPubMedCrossRefGoogle Scholar
  48. Kim YT, Lee SJ, Kim SH (2006) Effects of the history of conduct disorder on the Iowa gambling tasks. Alcohol Clin Exp Res 30(3):466–472PubMedCrossRefGoogle Scholar
  49. Kosten TA, Rounsaville BJ (1992) Sensitivity of psychiatric diagnosis based on the best estimate procedure. Am J Psychiatry 149(9):1225–1227PubMedGoogle Scholar
  50. Kringelbach ML, Rolls ET (2004) The functional neuroanatomy of the human orbitofrontal cortex: evidence from neuroimaging and neuropsychology. Prog Neurobiol 72(5):341–372PubMedCrossRefGoogle Scholar
  51. Laakso MP, Gunning-Dixon F, Vaurio O, Repo-Tiihonen E, Soininen H, Tiihonen J (2002) Prefrontal volumes in habitually violent subjects with antisocial personality disorder and type 2 alcoholism. Psychiatry Res 114(2):95–102PubMedCrossRefGoogle Scholar
  52. Le Berre AP, Rauchs G, La Joie R, Mezenge F, Boudehent C, Vabret F, Segobin S, Viader F, Allain P, Eustache F, Pitel AL, Beaunieux H (2014) Impaired decision-making and brain shrinkage in alcoholism. Eur Psychiatry 29(3):125–133PubMedCrossRefGoogle Scholar
  53. Leckman JF, Scholomskas D, Thompson WD, Belanger A, Weisman MM (1982) Best estimate of lifetime psychiatric diagnosis: a methodological study. Arch Gen Psychiatry 39(8):879–883PubMedCrossRefGoogle Scholar
  54. Lovallo WR, Yechiam E, Sorocco KH, Vincent AS, Collins FL (2006) Working memory and decision-making biases in young adults with a family history of alcoholism: studies from the Oklahoma family health patterns project. Alcohol Clin Exp Res 30(5):763–773PubMedCentralPubMedCrossRefGoogle Scholar
  55. Luciana M, Collins PF (2012) Incentive motivation, cognitive control, and the adolescent brain: is it time for a paradigm shift? Child Dev Perspect 6(4):392–399PubMedCentralPubMedGoogle Scholar
  56. Luciana M, Wahlstrom D, Porter JN, Collins PF (2012) Dopaminergic modulation of incentive motivation in adolescence: age-related changes in signaling, individual differences, and implications for the development of self-regulation. Dev Psychol 48(3):844PubMedCentralPubMedCrossRefGoogle Scholar
  57. Makris N, Oscar-Berman M, Jaffin SK, Hodge SM, Kennedy DN, Caviness VS, Marinkovic K, Breiter HC, Gasic GP, Harris GJ (2008) Decreased volume of the brain reward system in alcoholism. Biol Psychiatry 64(3):192–202PubMedCentralPubMedCrossRefGoogle Scholar
  58. Markwiese BJ, Acheson SK, Levin ED, Wilson WA, Swartzwelder HS (1998) Differential effects of ethanol on memory in adolescent and adult rats. Alcohol Clin Exp Res 22(2):416–421PubMedCrossRefGoogle Scholar
  59. McGue M, Keyes M, Sharma A, Elkins I, Legrand L, Johnson W, Iacono WG (2007) The environments of adopted and non-adopted youth: evidence on range restriction from the sibling interaction and behavior study (SIBS). Behav Genet 37(3):449–462PubMedCrossRefGoogle Scholar
  60. McGue M, Osler M, Christensen K (2010) Causal inference and observational research: the utility of twins. Perspect Psychol Sci 5(5):546–556PubMedCentralPubMedCrossRefGoogle Scholar
  61. Medina KL, McQueeny T, Nagel BJ, Hanson KL, Schweinsburg AD, Tapert SF (2008) Prefrontal cortex volumes in adolescents with alcohol use disorders: unique gender effects. Alcohol Clin Exp Res 32(3):386–394PubMedCentralPubMedCrossRefGoogle Scholar
  62. Monti PM, Miranda R Jr, Nixon K, Sher KJ, Swartzwelder HS, Tapert SF, White A, Crews FT (2005) Adolescence: booze, brains, and behavior. Alcohol Clin Exp Res 29(2):207–220PubMedCrossRefGoogle Scholar
  63. Moreno M, Estevez AF, Zaldivar F, Montes JM, Gutierrez-Ferre VE, Esteban L, Sanchez-Santed F, Flores P (2012) Impulsivity differences in recreational cannabis users and binge drinkers in a university population. Drug Alcohol Depend 124(3):355–362PubMedCrossRefGoogle Scholar
  64. Nagel BJ, Schweinsburg AD, Phan V, Tapert SF (2005) Reduced hippocampal volume among adolescents with alcohol use disorders without psychiatric comorbidity. Psychiatry Res 139(3):181–190PubMedCentralPubMedCrossRefGoogle Scholar
  65. Nasrallah NA, Clark JJ, Collins AL, Akers CA, Phillips PE, Bernstein IL (2011) Risk preference following adolescent alcohol use is associated with corrupted encoding of costs but not rewards by mesolimbic dopamine. Proc Natl Acad Sci USA 108(13):5466–5471PubMedCentralPubMedCrossRefGoogle Scholar
  66. Neuhaus JM, Kalbfleisch JD (1998) Between- and within-cluster covariate effects in the analysis of clustered data. Biometrics 54(2):638–645PubMedCrossRefGoogle Scholar
  67. Nixon K, Crews FT (2002) Binge ethanol exposure decreases neurogenesis in adult rat hippocampus. J Neurochem 83(5):1087–1093PubMedCrossRefGoogle Scholar
  68. Obernier JA, White AM, Swartzwelder HS, Crews FT (2002) Cognitive deficits and CNS damage after a 4-day binge ethanol exposure in rats. Pharmacol Biochem Behav 72(3):521–532PubMedCrossRefGoogle Scholar
  69. Oliva EM, Keyes M, Iacono WG, McGue M (2012) Adolescent substance use groups: antecedent and concurrent personality differences in a longitudinal study. J Pers 80(3):769–793PubMedCentralPubMedCrossRefGoogle Scholar
  70. Rabe-Hesketh S, Skrondal A, Pickles A (2004) Generalized multilevel structural equation modeling. Psychometrika 69(2):167–190CrossRefGoogle Scholar
  71. Reich W (2000) Diagnostic interview for children and adolescents (DICA). J Am Acad Child Adolesc Psychiatry 39:59–66PubMedCrossRefGoogle Scholar
  72. Robins LM, Baber T, Cottler LB (1987) Composite International Diagnostic Interview: Expanded Substance Abuse Module. Authors, St. LouisGoogle Scholar
  73. Rosenbaum PR, Rubin DB (1983) The central role of the propensity score in observational studies for causal effects. Biometrika 70(1):41–55CrossRefGoogle Scholar
  74. Rubin DB (2001) Using propensity scores to help design observational studies: application to the tobacco litigation. Health Serv Outcomes Res Method 2(3–4):169–188CrossRefGoogle Scholar
  75. Rutter M, Pickles A, Murray R, Eaves LJ (2001) Testing hypotheses on specific causal effects on behavior. Psychol Bull 127(3):291–324PubMedCrossRefGoogle Scholar
  76. Schoenbaum G, Roesch MR, Stalnaker TA (2006) Orbitofrontal cortex, decision-making and drug addiction. Trends Neurosci 29(2):116–124PubMedCentralPubMedCrossRefGoogle Scholar
  77. Shors TJ, Miesegaes G, Beylin A, Zhao MR, Rydel T, Gould E (2001) Neurogenesis in the adult is involved in the formation of trace memories. Nature 410(6826):372–376PubMedCrossRefGoogle Scholar
  78. Silvers JM, Tokunaga S, Mittleman G, O’Buckley T, Morrow AL, Matthews DB (2006) Chronic intermittent ethanol exposure during adolescence reduces the effect of ethanol challenge on hippocampal allopregnanolone levels and Morris water maze task performance. Alcohol 39(3):151–158PubMedCrossRefGoogle Scholar
  79. Sircar R, Sircar D (2005) Adolescent rats exposed to repeated ethanol treatment show lingering behavioral impairments. Alcohol-Clin Exp Res 29(8):1402–1410PubMedCrossRefGoogle Scholar
  80. Sled JG, Zijdenbos AP, Evans AC (1998) A nonparametric method for automatic correction of intensity nonuniformity in MRI data. IEEE Trans Med Imaging 17(1):87–97PubMedCrossRefGoogle Scholar
  81. Snijders TAB, Bosker RJ (1999) Multilevel analysis: an introduction to basic and advanced multilevel modelingSage Publications. Thousand Oaks, CAGoogle Scholar
  82. Spinella M (2007) Normative data and a short form of the Barratt impulsiveness scale. Int J Neurosci 117(3):359–368PubMedCrossRefGoogle Scholar
  83. Steinberg L (2010) A dual systems model of adolescent risk-taking. Dev Psychobiol 52(3):216–224PubMedGoogle Scholar
  84. Stuart EA (2010) Matching methods for causal inference: a review and a look forward. Stat Sci 25(1):1PubMedCentralPubMedCrossRefGoogle Scholar
  85. Stuart EA, Marcus SM, Horvitz-Lennon MV, Gibbons RD, Normand S-LT (2009) Using non-experimental data to estimate treatment effects. Psychiatr Ann 39(7):41451PubMedCentralPubMedCrossRefGoogle Scholar
  86. Tanabe J, Thompson L, Claus E, Dalwani M, Hutchison K, Banich MT (2007) Prefrontal cortex activity is reduced in gambling and nongambling substance users during decision-making. Hum Brain Mapp 28(12):1276–1286PubMedCrossRefGoogle Scholar
  87. Taylor J, Iacono WG, McGue M (2000) Evidence for a genetic etiology of early-onset delinquency. J Abnorm Psychol 109(4):634–643PubMedCrossRefGoogle Scholar
  88. Team RDC (2013) R: a language and environment for statistical computing. R Foundation for Statistical Computing, ViennaGoogle Scholar
  89. Tellegen A, Waller NG (2008) Exploring personality through test construction: development of the multidimensional personality questionnaire [References]. The SAGE handbook of personality theory and assessment: personality measurement and testing, vol 2. Sage Publications Inc., Thousand Oaks, pp 261–292CrossRefGoogle Scholar
  90. Tranel D, Bechara A, Denburg NL (2002) Asymmetric functional roles of right and left ventromedial prefrontal cortices in social conduct, decision-making, and emotional processing. Cortex 38(4):589–612PubMedCrossRefGoogle Scholar
  91. Tsuchida A, Doll BB, Fellows LK (2010) Beyond reversal: a critical role for human orbitofrontal cortex in flexible learning from probabilistic feedback. J Neurosci 30(50):16868–16875PubMedCrossRefGoogle Scholar
  92. Urošević S, Collins P, Muetzel R, Lim K, Luciana M (2012) Longitudinal changes in behavioral approach system sensitivity and brain structures involved in reward processing during adolescence. Dev Psychol 48(5):1488PubMedCentralPubMedCrossRefGoogle Scholar
  93. Verdejo-Garcia AJ, Perales JC, Perez-Garcia M (2007) Cognitive impulsivity in cocaine and heroin polysubstance abusers. Addict Behav 32(5):950–966PubMedCrossRefGoogle Scholar
  94. Wechsler D (1999) Wechsler abbreviated scale of intelligence. The Psychological Corporation, San AntonioGoogle Scholar
  95. Welch KA, Carson A, Lawrie SM (2013) Brain structure in adolescents and young adults with alcohol problems: systematic review of imaging studies. Alcohol Alcohol 48(4):433–444PubMedCrossRefGoogle Scholar
  96. Xiao L, Bechara A, Grenard LJ, Stacy WA, Palmer P, Wei Y, Jia Y, Fu X, Johnson CA (2009) Affective decision-making predictive of Chinese adolescent drinking behaviors. J Int Neuropsychol Soc 15(4):547–557PubMedCentralPubMedCrossRefGoogle Scholar
  97. Xiao L, Bechara A, Gong Q, Huang X, Li X, Xue G, Wong S, Lu ZL, Palmer P, Wei Y, Jia Y, Johnson CA (2012) Abnormal affective decision making revealed in adolescent binge drinkers using a functional magnetic resonance imaging study. Psychol Addict Behav 27(2):443–454PubMedCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Stephen M. Malone
    • 1
    • 3
  • Monica Luciana
    • 1
  • Sylia Wilson
    • 1
  • Jordan C. Sparks
    • 1
  • Ruskin H. Hunt
    • 2
  • Kathleen M. Thomas
    • 2
  • William G. Iacono
    • 1
  1. 1.Department of PsychologyUniversity of Minnesota – Twin CitiesMinneapolisUSA
  2. 2.Institute of Child DevelopmentUniversity of Minnesota – Twin CitiesMinneapolisUSA
  3. 3.University of MinnesotaMinneapolisUSA

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