Adolescent neurocognitive development and impacts of substance use: Overview of the adolescent brain cognitive development (ABCD) baseline neurocognition battery

Developmental Cognitive Neuroscience

Volumn 32, Issue , 2018, Pages 67-79

  Luciana, M ^a   Bjork, J M ^b   Nagel, B J ^c   Barch, D M ^d   Gonzalez, R ^e   Nixon, S J ^f   Banich, M T ^g  

^a UNIVERSITY OF MINNESOTA   (United States)

^b VIRGINIA COMMONWEALTH UNIVERSITY   (United States)

^c OREGON HEALTH AND SCIENCE UNIVERSITY   (United States)

^d WASHINGTON UNIVERSITY   (United States)

^e FLORIDA INTERNATIONAL UNIVERSITY   (United States)

^f UNIVERSITY OF FLORIDA   (United States)

^g UNIVERSITY OF COLORADO   (United States)

Author keywords

Adolescence; Longitudinal; Neurocognition; NIH Toolbox; Substance use

Indexed keywords

ADOLESCENT; COGNITIVE DEVELOPMENT; CORRELATIONAL STUDY; EPISODIC MEMORY; EXECUTIVE FUNCTION; HUMAN; MENTAL PERFORMANCE; MENTAL TASK; PRIORITY JOURNAL; RESPONSE TIME; REVIEW; SUBSTANCE USE; WORKING MEMORY; ADOLESCENT DEVELOPMENT; BRAIN; COGNITION; DEMENTIA ASSESSMENT; DRUG DEPENDENCE; FEMALE; GROWTH, DEVELOPMENT AND AGING; MALE; PHYSIOLOGY; PROSPECTIVE STUDY;

ADOLESCENT; ADOLESCENT DEVELOPMENT; BRAIN; COGNITION; FEMALE; HUMANS; MALE; MENTAL STATUS AND DEMENTIA TESTS; PROSPECTIVE STUDIES; SUBSTANCE-RELATED DISORDERS;

EID: 85042919997     PISSN: 18789293     EISSN: 18789307     Source Type: Journal    
DOI: 10.1016/j.dcn.2018.02.006     Document Type: Review

References (129)

1. Acker, W., Acker, W., Bexley Maudsley Automated Processing Screening and Bexley Maudsley Category Sorting Test Manual. 1982, NFER-Nelson Publishing, Great Britain.
2. Akshoomoff, N., Beaumont, J.L., Bauer, P.J., Dikmen, S.S., Gershon, R.C., Mungas, D., Heaton, R.K., NIH toolbox cognition battery (CB): composite scores of crystallized, fluid, and overall cognition. chapter VIII. Monogr. Soc. Res. Child Dev. 78:4 (2013), 119–132.
3. Amlung, M., Vedelago, L., Acker, J., Balodis, I., MacKillop, J., Steep delay discounting and addictive behavior: a meta-analysis of continuous associations. Addiction 112:1 (2017), 51–62.
4. Andrews-Hanna, J.R., Mackiewicz Seghete, K.L., Claus, E.D., Burgess, G.C., Ruzic, L., Banich, M.T., Cognitive control in adolescence: neural underpinnings and relation to self-report behaviors. PLoS One, 6(6), 2011, e21598, 10.1371/journal.pone.0021598.
5. Anokhin, A.P., Golosheykin, S., Grant, J.D., Heath, A.C., Heritability of delay discounting in adolescence: a longitudinal twin study. Behav. Genet. 41:2 (2011), 175–183.
6. Başgöze, Z., Gönül, A.S., Baskak, B., Gökçay, D., Valence-based word-face Stroop task reveals differential emotional interference in patients with major depression. Psychiatry Res. 229:3 (2015), 960–967.
7. Baddeley, A.D., Working Memory. 1986, Oxford University Press, Oxford.
8. Banich, M.T., Smolker, H.S., Snyder, H.R., Lewis-Peacock, J., Godinez, D., Wager, T.D., Hankin, B.L. (submitted for publication). Turning down the heat moment by moment: Multiple brain systems and individual differences predict emotional distraction during mid-adolescence.
9. Bauer, P.J., Dikmen, S.S., Heaton, R.K., Mungas, D., Slotkin, J., Beaumont, J.L., NIH toolbox cognition battery (CB): measuring episodic memory. Chapter III. Monogr. Soc. Res. Child Dev. 78:4 (2013), 34–48.
10. Bechara, A., Damasio, A.R., Damasio, H., Anderson, S.W., Insensitivity to future consequences following damage to human prefrontal cortex. Cognition 50:1–3 (1994), 7–15.
11. Bickel, W.K., Jarmolowicz, D.P., Mueller, E.T., Koffarnus, M.N., Gatchalian, M.K., Excessive discounting of delayed reinforcers as a trans-disease process contributing to addiction and other disease-related vulnerabilities: emerging evidence. Pharmacol. Ther. 134 (2012), 287–297.
12. Bjork, J.M., Pardini, D.A., Who are those risk-taking adolescents? Individual differences in developmental neuroimaging research. Dev. Cognit. Neurosci. 11:1 (2015), 56–64.
13. Bjork, J.M., Momenan, R., Hommer, D.W., Delay discounting correlates with proportional lateral frontal cortex volumes. Biol. Psychiatry 65 (2009), 710–713.
14. Bleck, T.P., Nowinski, C.J., Gershon, R., Koroshetz, W.J., What is the NIH Toolbox, and what will it mean to neurology?. Neurology 80:10 (2013), 874–875.
15. Braver, T.S., The variable nature of cognitive control: a dual mechanisms framework. Trends Cognit. Sci. 16 (2012), 106–113.
16. Brown, S., Tapert, S., Granholm, E., Delis, D., Neurocognitive functioning of adolescents: effects of protracted alcohol use. Alcohol.: Clin. Exp. Res. 24:2 (2000), 164–171.
17. Bryant, A.L., Zimmerman, M.A., Examining the effects of academic beliefs and behaviors on changes in substance use among urban adolescents. J. Educ. Psychol. 94 (2002), 621–637.
18. Carlozzi, N.E., Tulsky, D.S., et al. NIH toolbox cognition battery (CB): measuring processing speed. Monogr. Soc. Res. Child Dev. 78:4 (2013), 88–102.
19. Carlozzi, N.E., Tulsky, D.S., et al. NIH toolbox cognitive battery (NIHTB-CB): the NIHTB pattern comparison processing speed test. J. Int. Neuropsychol. Soc. 20:6 (2014), 630–641.
20. Carlozzi, N.E., Beaumont, J.L., Tulsky, D.S., Gershon, R.C., The NIH toolbox pattern comparison processing speed test: normative data. Arch. Clin. Neuropsychol. 30:5 (2015), 359–368.
21. Casaletto, K.B., Umlauf, A., Beaumont, J., Gershon, R., Slotkin, J., Akshoomoff, N., Heaton, R.K., Demographically corrected normative standards for the English version of the NIH Toolbox cognition battery. J. Int. Neuropsychol. Soc. 21:5 (2015), 378–391.
22. Casaletto, K.B., Umlauf, A., Marquine, M., Beaumont, J.L., Mungas, D., Gershon, R., Heaton, R.K., Demographically corrected normative standards for the Spanish language version of the NIH Toolbox cognition battery. J. Int. Neuropsychol. Soc. 22:3 (2016), 364–374.
23. Casey, B.J., Jones, R.M., Hare, T.A., The adolescent brain. Ann. N. Y. Acad. Sci. 1124 (2008), 111–126.
24. Casey, B.J., Somerville, L.H., Gotlib, I.H., Ayduk, O., Franklin, N.T., Askren, M.K., et al. Behavioral and neural correlates of delay of gratification 40 years later. Proc. Natl. Acad. Sci U. S. A. 108 (2011), 14998–15003.
25. Casey, B.J., Beyond simple models of self-control to circuit-based accounts of adolescent behavior. Annu. Rev. Psychol. 66 (2015), 295–319.
26. Centers for Disease Control and Prevention, Youth risk behavior surveillance-United States, 2015. Morbidity and Mortality Weekly Report, 65(6), 2016 Retrieved August 25, 2016. from http://www.cdc.gov/healthyyouth/data/yrbs/pdf/2015/ss6506_.
27. Choudhury, S., Blakemore, S.J., Charman, T., Social cognitive development during adolescence. Social Cognit. Affect. Neurosci. 1:3 (2006), 165–174.
28. Cieslik, E.C., Mueller, V.I., Eickhoff, C.R., Langner, R., Eickhoff, S.B., Three key regions for supervisory attentional control: evidence from neuroimaging meta-analyses. Neurosci. Biobehav. Rev. 48 (2015), 22–34.
29. Cohen, A.O., Dellarco, D.V., Breiner, K., Helion, C., Rahdar, A., Pedersen, G., Casey, B.J., The impact of emotional states on cognitive control circuitry and function. J. Cogn. Neurosci. 28 (2016), 446–459.
30. Daniel, M.H., Wahlstrom, D., Zhang, O., Equivalence of Q-interactive® and Paper Administrations of Cognitive Tasks: WISC®–V: Q-Interactive Technical Report 8., 2014 http://www.helloq.com/content/dam/ped/ani/us/helloq/media/Technical-Report_WISC-V_092514.pdf.
31. Demerath, E.W., Towne, B., Chumlea, W.C., et al. Recent decline in age at menarche: the Fels Longitudinal Study. Am. J. Hum. Biol. 16 (2004), 453–457.
32. de Wit, H., Impulsivity as a determinant and consequence of drug use: a review of underlying processes. Addict. Biol. 14:1 (2009), 22–31.
33. Dikmen, S.S., Bauer, P.J., Weintraub, S., Mungas, D., Slotkin, J., Beaumont, J.L., Heaton, R.K., Measuring episodic memory across the lifespan: NIH toolbox picture sequence memory test. J. Int. Neuropsychol. Soc. 20:6 (2014), 611–619.
34. Duell, N., Icenogle, C., Silva, K., Chein, J., Steinberg, L., Banich, M.T., et al., A cross-sectional examination of response inhibition and working memory on the Stroop task. Cogn. Dev. (in press).
35. Eriksen, B.A., Eriksen, C.W., Effects of noise letters upon the identification of a target letter in a nonsearch task. Percept. Psychophys. 16:1 (1974), 143–149.
36. Ernst, M., Pine, D.S., Hardin, M., Triadic model of the neurobiology of motivated behavior in adolescence. Psychol. Med. 36 (2006), 299–312.
37. Fan, J., McCandliss, B.D., Sommer, T., Raz, A., Posner, M.J., Testing the efficiency and independence of attentional networks. J. Cognit. Neurosci. 14:3 (2002), 340–347.
38. Feldstein Ewing, S.W., Sakhardande, A., Blakemore, S.J., The effect of alcohol consumption on the adolescent brain: a systematic review of MRI and fMRI studies of alcohol-using youth. Neuroimage: Clinical 5 (2014), 420–437.
39. Fernández-Serrano, M.J., Pérez-García, M., Verdejo-García, A., What are the specific vs. generalized effects of drugs of abuse on neuropsychological performance?. Neurosci. Biobehav. Rev. 35:3 (2011), 377–406.
40. Flores, I., Casaletto, K.B., Marquine, M.J., Umlauf, A., Moore, D.J., Mungas, D., Heaton, R.K., Performance of hispanics and non-hispanic whites on the NIH Toolbox cognition battery: the roles of ethnicity and language backgrounds. Clin. Neuropsychol., 2017, 1–15.
41. Frost, R., McNaughton, N., The neural basis of delay discounting: a review and preliminary model. Neurosci. Biobehav. Rev. 79 (2017), 48–65, 10.1016/j.neubiorev.2017.04.022.
42. Geier, C.F., Adolescent cognitive control and reward processing: implications for risk taking and substance use. Horm. Behav. 64 (2013), 333–342.
43. Gershon, R.C., Slotkin, J., Manly, J.J., Blitz, D.L., Beaumont, J.L., Schnipke, D., Weintraub, S., NIH toolbox cognition battery (Cb): measuring language (Vocabulary comprehension and reading decoding). Chapter IV. Monogr. Soc. Res. Child Dev. 78:4 (2013), 49–69.
44. Gershon, R.C., Wagster, M.V., Hendrie, H.C., Fox, N., Cook, K.F., Nowinski, C.J., NIH toolbox for assessment of neurological and behavioral function. Neurology 80:11 Suppl. 3 (2013), S2–6.
45. Gershon, R.C., Cook, K.F., Mungas, D., Manly, J.J., Slotkin, J., Beaumont, J.L., Weintraub, S., Language measures of the NIH toolbox cognition battery. J. Int. Neuropsychol. Soc. 20:6 (2014), 642–651.
46. Glenn, S.W., Parsons, O.A., Effects of alcoholism and instructional conditions on speed/accuracy tradeoffs. Alcohol. Clin. Exp. Res. 15:4 (1991), 612–619.
47. Gold, J.M., Carpenter, C., Randolph, C., et al. Auditory working memory and Wisconsin card sorting test performance in patients with schizophrenia. Arch. Gen. Psychiatry 54:2 (1997), 159–165.
48. Gould, T.J., Addiction and cognition. Addict. Sci. Clin. Pract. 5 (2010), 4–14.
49. Grant, J.E., Chamberlain, S.R., Impulsive action and impulsive choice across substance and behavioral addictions: cause or consequence?. Addict. Behav. 39:11 (2014), 1632–1639.
50. Gunther, T., Holtkamp, K., Jolles, J., Herpertz-Dahlmann, B., Konrad, K., Verbal memory and aspects of attentional control in children and adolescents with anxiety disorders or depressive disorders. J. Affect. Disord. 82:2 (2004), 265–269.
51. Hare, T.A., Tottenham, N., Galvan, A., Voss, H.U., Glover, G.H., Casey, B.J., Biological substrates of emotional reactivity and regulation in adolescence during an emotional go-nogo task. Biol. Psychiatry 63:10 (2008), 927–934.
52. Heaton, R.K., Akshoomoff, N., Tulsky, D., Mungas, D., Weintraub, S., Dikmen, S., Gershon, R., Reliability and validity of composite scores from the NIH Toolbox Cognition Battery in adults. J. Int. Neuropsychol. Soc. 20:6 (2014), 588–598.
53. Heitzeg, M.M., Nigg, J.T., Hardee, J.E., Soules, M., Steinberg, D., Zubieta, J.K., Zucker, R.A., Left middle frontal gyrus response to inhibitory errors in children prospectively predicts early problem substance use. Drug Alcohol Depend. 141:1 (2014), 51–57.
54. Hodes, R.J., Insel, T.R., Landis, S.C., On behalf of the NIH Blueprint for Neuroscience Research, The NIH toolbox: setting a standard for biomedical research. Neurology, 80(11 Suppl. 3), 2013, S1.
55. Humphrey, G., Dumontheil, I., Development of risk-taking, perspective-taking, and inhibitory control during adolescence. Dev. Neuropsychol. 41:1–2 (2016), 59–76.
56. Jackson, N.J.B., Isen, J.D., Khoddam, R., Irons, D., Tuvblad, C., Iacono, W.G., McGue, M., Raine, A., et al. Impact of adolescent marijuana use on intelligence: results from two longitudinal twin studies. Proc. NY Acad. Sci. 113:5 (2016), E500–E508.
57. Jacobus, J., Tapert, S.F., Neurotoxic effects of alcohol in adolescence. Annu. Rev. Clin. Psychol. 9 (2013), 703–721.
58. Johnson, M.W., Bickel, W.K., Within-subject comparison of real and hypothetical money rewards in delay discounting. J. Exp. Anal. Behav. 77 (2002), 129–146.
59. Jones, S.A., Cservenka, A., Nagel, B.J., Binge drinking impacts dorsal striatal response during decision making in adolescents. Neuroimage 129 (2016), 378–388.
60. Kable, J.W., Glimcher, P.W., The neural correlates of subjective value during intertemporal choice. Nat Neurosci. 10 (2007), 1625–1633.
61. Kane, M.J., Engle, R.W., Working-memory capacity and the control of attention: the contributions of goal neglect, response competition, and task set to Stroop interference. J. Exp. Psychol. Gen. 132:1 (2003), 47–70.
62. Kaplan, E., A process approach to neuropsychological assessment. Boll, T., Bryant, B.K., (eds.) Clinical Neuropsychology and Brain Function: Research, Measurement, and Practice, 1988, American Psychological Association, Washington, D.C, 125–167.
63. Keyes, K.M., Platt, J., Kaufman, A.S., McLaughlin, K.A., Association of fluid intelligence and psychiatric disorders in a population-representative sample of US adolescents. JAMA Psychiatry 74:2 (2017), 179–188, 10.1001/jamapsychiatry.2016.3723.
64. Khurana, A., Romer, D., Betancourt, L., Brodsky, N., Giannetta, J., Hurt, H., Working memory ability predicts trajectories of early alcohol use in adolescents: the mediational role of impulsivity. Addiction 108:3 (2013), 506–515.
65. King, K.M., Meehan, B.T., Trim, R.S., Chassin, L., Substance use and academic outcomes: synthesizing findings and future directions. Addiction 101 (2006), 1688–1689.
66. Koffarnus, M.N., Bickel, W.K., A 5-trial adjusting delay discounting task: accurate discount rates in less than one minute. Exp. Clin. Psychopharmacol. 22 (2014), 222–228.
67. Koob, G.F., Volkow, N.D., Neurobiology of addiction: a neurocircuitry analysis. Lancet 3:8 (2016), 760–773.
68. Lawton-Craddock, A., Nixon, S.J., Tivis, R., Cognitive efficiency in stimulant abusers with and without alcohol dependence. Alcohol. Clin. Exp. Res. 27:3 (2003), 457–464.
69. Lezak, M.D., Howieson, D.B., Bigler, E.D., Tranel, D., Neuropsychological Assessment. 5th ed., 2012, Oxford University Press, New York, NY.
70. Luciana, M., Collins, P.F., Incentive motivation, cognitive control, and the adolescent brain: is it time for a paradigm shift?. Child Dev. Perspect. 6:4 (2012), 392–399.
71. Luciana, M., Wahlstrom, D., Collins, P.F., Porter, J.N., 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 (2012), 844–861.
72. Luciana, M., Collins, P.F., Muetzel, R.L., Lim, K.O., Effects of alcohol use initiation on brain structure in typically developing adolescents. Am. J. Drug Alcohol Abuse 39:6 (2013), 345–355.
73. Luna, B., Padmanabhan, A., O'Hearn, K., What has fMRI told us about the development of cognitive control through adolescence?. Brain Cogn. 72:1 (2010), 101–113.
74. MacKillop, J., Amlung, M.T., Few, L.R., Ray, L.A., Sweet, L.H., Munafò M.R., Delayed reward discounting and addictive behavior: a meta-analysis. Psychopharmacology (Berl.) 216:3 (2011), 305–321.
75. Malone, S.M., Luciana, M., Wilson, S., Sparks, J.C., Hunt, R.H., Thomas, K.M., Adolescent drinking and motivated decision-making: a co-twin-control investigation with monozygotic twins. Behav. Genet. 44:4 (2014), 407–418.
76. Matusiewicz, A.K., Carter, A.E., Landes, R.D., Yi, R., Statistical equivalence and test-retest reliability of delay and probability discounting using real and hypothetical rewards. Behav. Processes 100 (2013), 116–122.
77. McClure, S.M., Laibson, D.I., Loewenstein, G., Cohen, J.D., Separate neural systems value immediate and delayed monetary rewards. Science 306 (2004), 503–507.
78. Meier, M.H., Caspi, A., Ambler, A., Harrington, H., Houts, R., Keefe, R.S.E., McDonald, K., Ward, A., Poulton, R., et al. Persistent cannabis users show neuropsychological decline from childhood to midlife. Proc. Natl. Acad. Sci. 109:40 (2012), E2657–E2664.
79. Mellis, A.M., Woodford, A.E., Stein, J.S., Bickel, W.K., A second type of magnitude effect: reinforcer magnitude differentiates delay discounting between substance users and controls. J. Exp. Anal. Behav. 107 (2017), 151–160.
80. Munakata, Y., Snyder, H.R., Chatham, C.H., Developing cognitive control: three key transitions. Curr. Direct. Psychol. Sci. 21:2 (2012), 71–77.
81. Mungas, D., Heaton, R., Tulsky, D., Zelazo, P., Slotkin, J., Blitz, D., Gershon, R., Factor structure convergent validity, and discriminant validity of the NIH Toolbox Cognitive Health Battery (NIHTB-CHB) in adults. J. Int. Neuropsychol. Soc. 20:6 (2014), 579–587.
82. Myerson, J., Green, L., Warusawitharana, M., Area under the curve as a measure of discounting. J. Exp. Anal. Behav. 76:2 (2001), 235–243.
83. Nixon, S.J., Prather, R.A., Lewis, B., Sex differences in alcohol-related neurobehavioral consequences. Sullivan, Edith V., Pfefferbaum, Adolf, (eds.) Alcohol and the Nervous System (Handbook of Clinical Neurology, vol. 125, 2014, Elsevier, Oxford, United Kingdom, 253–272 3rd series.
84. Norman, A.L., Pulido, C., Squeglia, L.M., Spadoni, A.D., Paulus, M.P., Tapert, S.F., Neural activation during inhibition predicts initiation of substance use in adolescence. Drug Alcohol Depend. 119:3 (2011), 216–223.
85. Odum, A.L., Delay discounting: I'm a K: you're a K. J. Exp. Anal. Behav. 96 (2011), 427–439.
86. Oldfield, R.C., The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia 9:1 (1971), 97–113.
87. Olson, E.A., Hooper, C.J., Collins, P.F., Luciana, M., Delay and probability discounting behavior in healthy adolescents: associations with age, personality style, and other measures of executive function. Personal. Individ. Differ. 43:7 (2007), 1886–1897.
88. Olson, E.A., Collins, P.F., Hooper, C.J., Muetzel, R., Lim, K.O., Luciana, M., White matter integrity predicts delay discounting behavior in adolescents: a diffusion tensor imaging study. J. Cogn. Neurosci. 21:7 (2009), 1406–1421 Posted on-line 3 September 2008.
89. Paulus, M.P., Huys, Q.J.M., Maia, T.V., A roadmap for the development of applied computational psychiatry. Biol. Psychiatry: Cognit. Neurosci. Neuroimag. 1:5 (2016), 386–392.
90. Peeters, M., Monshouwer, K., van de Schoot, R.A.G.J., Janssen, T., Vollebergh, W.A.M., Wiers, R.W., Automatic processes and the drinking behavior in early adolescence: a prospective study Alcoholism. Clin. Exp.Res. 37:10 (2013), 1737–1744.
91. Peeters, M., Janssen, T., Monshouwer, K., Boendermaker, W., Pronk, T., Weaknesses in executive functioning predict the initiating of adolescents’ alcohol use. Dev. Cognit. Neurosci. 16 (2015), 139–146.
92. Pentz, M.A., Shin, H., Riggs, N., Unger, J., Collison, K., Chou, C., Parent, peer, and executive function relationships to early adolescent e-cigarette use: a substance use pathway?. Addict. Behav. 42 (2015), 73–78.
93. Peters, J., Buchel, C., The neural mechanisms of inter-temporal decision-making: understanding variability. Trends Cognit. Sci. 15:5 (2011), 227–239.
94. Riggs, N., Spruijt-Metz, D., Chou, C., Pentz, M.A., Relationships between executive cognitive function and lifetime substance use and obesity-related behaviors in fourth grade youth. Child Neuropsychol. 18:1 (2012), 1–11.
95. Roberts, C.A., Jones, A., Montgomery, C., Meta-analysis of executive functioning in ecstasy/polydrug users?. Psychol. Med. 46:8 (2016), 1581–1596.
96. Romer, D., Adolescent risk taking, impulsivity, and brain development: implications for prevention. Dev. Psychobiol. 52 (2010), 263–276.
97. Rueda, M.R., Fan, J., McCandliss, B.D., Halparin, J.D., Gruber, D.B., Lercari, L.P., Posner, M.J., Development of attentional networks in childhood. Neuropsychologia 42:8 (2004), 1029–1040.
98. Salthouse, T.A., Babcock, R.L., Shaw, R.J., Effects of adult age on structural and operational capacities in working memory. Psychol. Aging 6:1 (1991), 118–127.
99. Shulman, E.P., Smith, A.R., Silva, K., Icenogle, G., Duell, N., Chein, J., Steinberg, L., The dual systems model: review, reappraisal: and reaffirmation. Dev. Cognit. Neurosci. 17 (2016), 103–117.
100. Smith, J.L., Mattick, R.P., Jamadar, S.D., Iredale, J.M., Deficits in behavioural inhibition in substance abuse and addiction: a meta-analysis. Drug Alcohol Depend. 145:1 (2014), 1–33.
101. Snellen, H., Letterproeven Tot Bepaling Der Gezictsscherpte, Utrecht, Weyers (Dutch Edition). 1862 Also published in many languages as Optotypi ad Visum Determinandum.
102. Solowij, N., Stephens, R.S., Roffman, R.A., Babor, T., Kadden, R., Miller, M., et al. Cognitive functioning of long-term heavy cannabis users seeking treatment. JAMA 287 (2002), 1123–1131.
103. Solowij, N., Jones, K.A., Rozman, M.E., Davis, S.M., Ciarrochi, J., Heaven, P.C., Lubman, D.I., Yücel, M., Verbal learning and memory in adolescent cannabis users, alcohol users and non-users. Psychopharmacology (Berl) 216:1 (2011), 131–144.
104. Sparks, J.C., Isen, J.D., Iacono, W.G., Preference on cash-choice task predicts externalizing outcomes in 17-year-olds. Behav. Genet. 44 (2014), 102–112.
105. Stang, N.M., Chein, J.M., Steinberg, L., The value of the dual systems model of adolescent risk-taking. Front. Hum. Neurosci., 7, 2013, 233.
106. Stanger, C., Ryan, S.R., Fu, H., Landes, R.D., Jones, B.A., Bickel, W.K., Budney, A.J., Delay discounting predicts adolescent substance abuse treatment outcome. Exp. Clin. Psychopharmacol. 20:3 (2012), 205–212.
107. Stein, J.S., Wilson, A.G., Koffarnus, M.N., Daniel, T.O., Epstein, L.H., Bickel, W.K., Unstuck in time: episodic future thinking reduces delay discounting and cigarette smoking. Psychopharmacology (Berl) 233:21–22 (2016), 3771–3778.
108. Steinberg, L., Graham, S., O'Brien, L., Woolard, J., Cauffman, E., Banich, M., Age differences in future orientation and delay discounting. Child Dev. 80:1 (2009), 28–44.
109. Steinberg, L., A dual systems model of adolescent risk-taking. Dev. Psychobiol. 52 (2010), 216–224.
110. Stephan, R.A., Alhassoon, O.M., Allen, K.E., Wollman, S.C., Hall, M., Thomas, W.J., et al. Meta-analyses of clinical neuropsychological tests of executive dysfunction and impulsivity in alcohol use disorder. Am. J. Drug Alcohol Abuse 12 (2016), 1–20.
111. Strauss, E., Sherman, E.M.S., Spreen, O., A Compendium of Neuropsychological Tests. 3rd ed., 2006, Oxford University Press, New York, New York.
112. Stroop, J.R., Studies of interference in serial verbal reactions. J. Exp. Psychol. 18:6 (1935), 643–662.
113. Sullivan, E.V., Brumback, T., Tapert, S.F., Prouty, D., Fama, R., et al. Effects of prior testing lasting a full year in NCANDA adolescents: contributions from age, sex, socioeconomic status, ethnicity, site,family history of alcohol or drug abuse, and baseline performance. Dev. Cognit. Neurosci. 24 (2017), 72–83.
114. Taylor, E.M., The Appraisal of Children with Cerebral Deficits. 1959, Harvard University Press, Cambridge, MA.
115. Tulsky, D.S., Carlozzi, N.E., Chevalier, N., Espy, K.A., Beaumont, J.L., Mungas, D., NIH toolbox cognition battery (CB): measuring working memory. Monogr. Soc. Res. Child Dev. 78:4 (2013), 70–87.
116. Tulsky, D.S., Carlozzi, N., Chiaravalloti, N., Beaumont, J.L., Conway, K., Mungas, D., NIH Toolbox Cognition Battery (NIHTB-CB): list sorting test to measure working memory. J. Int. Neuropsychol. Soc. 20:6 (2014), 599–610.
117. Vakil, E., Blachstein, H., Wertman-Elad, R., Greenstein, Y., Verbal learning and memory as measured by the Rey-Auditory Verbal Learning Test: ADHD with and without learning disabilities. Child Neuropsychol. 18:5 (2012), 449–466.
118. van den Burg, W., Kingma, A., Performance of 225 Dutch school children on Rey's Auditory Verbal Learning Test (AVLT): parallel test-retest reliabilities with an interval of 3 months and normative data. Arch. Clin. Neuropsychol. 14:6 (1999), 545–559.
119. Veale, J.F., Edinburgh handedness inventory – short form: a revised version based on confirmatory factor analysis. Laterality 19:2 (2014), 164–177.
120. Walls, R.T., Smith, T.S., Development of preference for delayed reward in disadvantaged children. J. Educ. Psychol. 61 (1970), 118–123.
121. Wechsler, D., Wechsler Intelligence Scale for Children®. 5th ed., 2014, Pearson, Bloomington, MN.
122. Wetherill, R.R., Squeglia, L.M., Yang, T.T., Tapert, S.F., A longitudinal examination of adolescent response inhibition: neural differences before and after the initiation of heavy drinking. Psychopharmacology (Berl) 230:4 (2013), 663–671.
123. Williams, K.D., Jarvis, B., Cyberball: a program for use in research on interpersonal ostracism and acceptance. Behav. Res. Methods, 38, 2006, 174.
124. Williams, J.M., Mathews, A., MacLeod, C., The emotional Stroop task and psychopathology. Psychol. Bull. 120:1 (1996), 3–24.
125. Wulfert, E., Block, J.A., Santa Ana, E., Rodriguez, M.L., Colsman, M., Delay of gratification: impulsive choices and problem behaviors in early and late adolescence. J. Pers. 70 (2002), 533–552.
126. Zelazo, P.D., Anderson, J.E., Richler, J., Wallner-Allen, K., Beaumont, J.L., Conway, K.P., Weintraub, S., NIH Toolbox Cognition Battery (CB): validation of executive function measures in adults. J. Int. Neuropsychol. Soc. 20:6 (2014), 620–629.
127. Zelazo, P.D., The Dimensional Change Card Sort (DCCS): a method of assessing executive function in children. Nat. Protoc. 1:1 (2006), 297–301.
128. Zelazo, P.D., Anderson, J.E., Richler, J., Wallner-Allen, K., Beaumont, J.L., Weintraub, S., NIH toolbox cognition battery (CB): measuring executive function and attention. Monogr. Soc. Res. Child Dev. 78:4 (2013), 16–33.
129. Zelazo, P.D., Carlson, S.M., Hot and cool executive function in childhood and adolescence: development and plasticity. Child Dev. Perspect. 6 (2012), 354–360.