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Parietal P3 and midfrontal theta prospectively predict the development of adolescent alcohol use

Published online by Cambridge University Press:  18 November 2019

Jeremy Harper*
Affiliation:
Department of Psychology, University of Minnesota, 75 East River Road, Minneapolis, MN55455, USA
Stephen M. Malone
Affiliation:
Department of Psychology, University of Minnesota, 75 East River Road, Minneapolis, MN55455, USA
William G. Iacono
Affiliation:
Department of Psychology, University of Minnesota, 75 East River Road, Minneapolis, MN55455, USA
*
Author for correspondence: Jeremy Harper, E-mail: [email protected]

Abstract

Background

Subclinical adolescent alcohol use is highly prevalent and may have deleterious effects on important psychosocial and brain outcomes. Prior research has focused on identifying endophenotypes of pathological drinking, and the predictors of normative drinking remain understudied. This study investigated the incremental predictive value of two potential psychophysiological endophenotypes, P3 amplitude (an index of decision making) and midfrontal theta power (a correlate of attentional control), for prospectively predicting the expression and initiation of alcohol use emerging in adolescence.

Methods

A large (N = 594) epidemiological sample was prospectively assessed at ages 11/14/17. Alcohol/substance use was assessed at all ages via a computerized self-report inventory. EEG was recorded at age-14 during a visual oddball task to elicit P3 and theta.

Results

Reduced target-related P3 and theta at age-14 prospectively predicted drinking at age-17 independent of one another. Among alcohol-naive individuals at age-14, attenuated P3 and theta increased the odds of new-onset alcohol behaviors 3 years later. Importantly, the endophenotypes provided significant incremental predictive power of future non-clinical alcohol use beyond relevant risk factors (prior alcohol use; tobacco/illicit drug initiation; parental alcohol use disorder).

Conclusions

The current report is the first of our knowledge to demonstrate that deviations in parietal P3 and midfrontal theta prospectively predict the emergence of normative/non-pathological drinking. P3 and theta provide modest yet significant explanatory variance beyond prominent self-report and familial risk measures. Findings offer strong evidence supporting the predictive utility of P3 and theta as candidate endophenotypes for adolescent drinking.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2019

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References

American Psychiatric Association (1994) Diagnostic and Statistical Manual of Mental Disorders, 4th Edn. Washington, DC: Author.Google Scholar
Andrew, C and Fein, G (2010) Event-related oscillations versus event-related potentials in a P300 task as biomarkers for alcoholism. Alcoholism, Clinical and Experimental Research 34, 669680.CrossRefGoogle Scholar
Anokhin, AP (2014) Genetic psychophysiology: advances, problems, and future directions. International Journal of Psychophysiology 93, 173197.CrossRefGoogle ScholarPubMed
Bachman, MD and Bernat, EM (2018) Independent contributions of theta and delta time-frequency activity to visual oddball P300. International Journal of Psychophysiology 128, 7080.CrossRefGoogle Scholar
Barry, RJ, Steiner, GZ and De Blasio, FM (2016) Reinstating the Novelty P3. Scientific Reports 6, 31200.CrossRefGoogle ScholarPubMed
Barry, RJ, Steiner, GZ, De Blasio, FM, Fogarty, JS, Karamacoska, D and MacDonald, B (2019) Components in the P300: don't forget the Novelty P3!. Psychophysiology, e13371. https://doi.org/10.1111/psyp.13371Google ScholarPubMed
Başar-Eroglu, C, Başar, E, Demiralp, T and Schürmann, M (1992) P300-response: possible psychophysiological correlates in delta and theta frequency channels. A review. International Journal of Psychophysiology 13, 161179.CrossRefGoogle ScholarPubMed
Bates, D, Machler, M, Bolker, BM and Walker, SC (2015) Fitting linear mixed-effects models using lme4. Journal of Statistical Software 67, 148.CrossRefGoogle Scholar
Begleiter, H, Porjesz, B, Bihari, B and Kissin, B (1984) Event-related brain potentials in boys at risk for alcoholism. Science 225, 14931496.CrossRefGoogle ScholarPubMed
Berman, SM, Whipple, SC, Fitch, RJ and Noble, EP (1993) P3 in young boys as a predictor of adolescent substance use. Alcohol 10, 6976.CrossRefGoogle ScholarPubMed
Burwell, SJ, Malone, SM, Bernat, EM and Iacono, WG (2014) Does electroencephalogram phase variability account for reduced P3 brain potential in externalizing disorders? Clinical Neurophysiology 125, 20072015.CrossRefGoogle ScholarPubMed
Campbell, DT and Fiske, DW (1960) Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin 56, 81.CrossRefGoogle Scholar
Carlson, SR, Iacono, WG and McGue, M (2004) P300 amplitude in nonalcoholic adolescent twin pairs who become discordant for alcoholism as adults. Psychophysiology 41, 841844.CrossRefGoogle ScholarPubMed
Casey, BJ and Jones, RM (2010) Neurobiology of the adolescent brain and behavior: implications for substance use disorders. Journal of the American Academy of Child and Adolescent Psychiatry 49, 11891201; quiz 1285.Google ScholarPubMed
Castellanos-Ryan, N, Struve, M, Whelan, R, Banaschewski, T, Barker, GJ, Bokde, ALW, Bromberg, U, Buchel, C, Frouin, V, Gallinat, J, Gowland, P, Heinz, A, Lawrence, C, Martinot, JL, Nees, F, Paus, T, Pausova, Z, Rietschel, M, Robbins, TW, Smolka, MN, Schumann, G, Garavan, H and Conrod, PJ and Imagen Consortium (2014) Neural and cognitive correlates of the common and specific variance across externalizing problems in young adolescence. The American Journal of Psychiatry 171, 13101319.CrossRefGoogle ScholarPubMed
Cavanagh, JF and Frank, MJ (2014) Frontal theta as a mechanism for cognitive control. Trends in Cognitive Sciences 18, 414421.CrossRefGoogle ScholarPubMed
Cavanagh, JF, Zambrano-Vazquez, L and Allen, JJB (2012) Theta lingua franca: a common mid-frontal substrate for action monitoring processes. Psychophysiology 49, 220238.CrossRefGoogle ScholarPubMed
Clayton, MS, Yeung, N and Kadosh, RC (2015) The roles of cortical oscillations in sustained attention. Trends in Cognitive Sciences 19, 188195.CrossRefGoogle ScholarPubMed
Cohen, MX (2014 a) Analyzing Neural Time Series Data: Theory and Practice. Cambridge, MA: MIT Press.CrossRefGoogle Scholar
Cohen, MX (2014 b) A neural microcircuit for cognitive conflict detection and signaling. Trends in Neurosciences 37, 480490.CrossRefGoogle ScholarPubMed
Cohen, MX and Cavanagh, JF (2011) Single-trial regression elucidates the role of prefrontal theta oscillations in response conflict. Frontiers in Psychology 2, 30.CrossRefGoogle ScholarPubMed
Crews, FT and Boettiger, CA (2009) Impulsivity, frontal lobes and risk for addiction. Pharmacology, Biochemistry, and Behavior 93, 237247.CrossRefGoogle ScholarPubMed
Delorme, A, Westerfield, M and Makeig, S (2007) Medial prefrontal theta bursts precede rapid motor responses during visual selective attention. The Journal of Neuroscience 27, 1194911959.CrossRefGoogle ScholarPubMed
Deutsch, AR, Slutske, WS, Richmond-Rakerd, LS, Chernyavskiy, P, Heath, AC and Martin, NG (2013) Causal influence of age at first drink on alcohol involvement in adulthood and its moderation by familial context. Journal of Studies on Alcohol and Drugs 74, 703713.CrossRefGoogle ScholarPubMed
Euser, AS, Arends, LR, Evans, BE, Greaves-Lord, K, Huizink, AC and Franken, IHA (2012) The P300 event-related brain potential as a neurobiological endophenotype for substance use disorders: a meta-analytic investigation. Neuroscience and Biobehavioral Reviews 36, 572603.CrossRefGoogle ScholarPubMed
Field, M and Cox, WM (2008) Attentional bias in addictive behaviors: a review of its development, causes, and consequences. Drug and Alcohol Dependence 97, 120.CrossRefGoogle ScholarPubMed
Flory, K, Lynam, D, Milich, R, Leukefeld, C and Clayton, R (2004) Early adolescent through young adult alcohol and marijuana use trajectories: early predictors, young adult outcomes, and predictive utility. Development and Psychopathology 16, 193213.CrossRefGoogle ScholarPubMed
Foster, KT, Hicks, BM, Iacono, WG and McGue, M (2014) Alcohol use disorder in women: risks and consequences of an adolescent onset and persistent course. Psychology of Addictive Behaviors: Journal of the Society of Psychologists in Addictive Behaviors 28, 322335.CrossRefGoogle ScholarPubMed
Funder, DC and Ozer, DJ (2019) Evaluating effect size in psychological research: sense and nonsense. Advances in Methods and Practices in Psychological Science 2, 156168.CrossRefGoogle Scholar
Gilmore, CS, Malone, SM and Iacono, WG (2010) Brain electrophysiological endophenotypes for externalizing psychopathology: a multivariate approach. Behavior Genetics 40, 186200.CrossRefGoogle ScholarPubMed
Gottesman, II and Gould, TD (2003) The endophenotype concept in psychiatry: etymology and strategic intentions. The American Journal of Psychiatry 160, 636645.CrossRefGoogle ScholarPubMed
Habeych, ME, Charles, PJ, Sclabassi, RJ, Kirisci, L and Tarter, RE (2005) Direct and mediated associations between P300 amplitude in childhood and substance use disorders outcome in young adulthood. Biological Psychiatry 57, 7682.CrossRefGoogle ScholarPubMed
Harper, J, Malone, SM and Iacono, WG (2017 a) Testing the effects of adolescent alcohol use on adult conflict-related theta dynamics. Clinical Neurophysiology 128, 23582368.CrossRefGoogle ScholarPubMed
Harper, J, Malone, SM and Iacono, WG (2017 b) Theta-and delta-band EEG network dynamics during a novelty oddball task. Psychophysiology 54, 15901605.CrossRefGoogle ScholarPubMed
Harper, J, Malone, SM and Iacono, WG (2018 a) Conflict-related medial frontal theta as an endophenotype for alcohol use disorder. Biological Psychology 139, 2538.CrossRefGoogle ScholarPubMed
Harper, J, Malone, SM and Iacono, WG (2018 b) Impact of alcohol use on EEG dynamics of response inhibition: a Cotwin control analysis. Addiction Biology 23, 256267.CrossRefGoogle ScholarPubMed
Harper, J, Malone, SM and Iacono, WG (2019) Target-related parietal P3 and medial frontal theta index the genetic risk for problematic substance use. Psychophysiology 56, e13383.CrossRefGoogle ScholarPubMed
Hicks, BM, Iacono, WG and McGue, M (2010) Consequences of an adolescent onset and persistent course of alcohol dependence in men: adolescent risk factors and adult outcomes. Alcoholism-Clinical and Experimental Research 34, 819833.CrossRefGoogle ScholarPubMed
Hill, SY, Steinhauer, S, Lowers, L and Locke, J (1995) Eight-year longitudinal follow-up of P300 and clinical outcome in children from high-risk for alcoholism families. Biological Psychiatry 37, 823827.CrossRefGoogle ScholarPubMed
Hill, SY, Steinhauer, SR, Locke-Wellman, J and Ulrich, R (2009) Childhood risk factors for young adult substance dependence outcome in offspring from multiplex alcohol dependence families: a prospective study. Biological Psychiatry 66, 750757.CrossRefGoogle ScholarPubMed
Hoogman, M, Muetzel, R, Guimaraes, JP, Shumskaya, E, Mennes, M, Zwiers, MP, Jahanshad, N, Sudre, G, Wolfers, T, Earl, EA, Soliva Vila, JC, Vives-Gilabert, Y, Khadka, S, Novotny, SE, Hartman, CA, Heslenfeld, DJ, Schweren, LJS, Ambrosino, S, Oranje, B, de Zeeuw, P, Chaim-Avancini, TM, Rosa, PGP, Zanetti, MV, Malpas, CB, Kohls, G, von Polier, GG, Seitz, J, Biederman, J, Doyle, AE, Dale, AM, van Erp, TGM, Epstein, JN, Jernigan, TL, Baur-Streubel, R, Ziegler, GC, Zierhut, KC, Schrantee, A, Høvik, MF, Lundervold, AJ, Kelly, C, McCarthy, H, Skokauskas, N, O'Gorman Tuura, RL, Calvo, A, Lera-Miguel, S, Nicolau, R, Chantiluke, KC, Christakou, A, Vance, A, Cercignani, M, Gabel, MC, Asherson, P, Baumeister, S, Brandeis, D, Hohmann, S, Bramati, IE, Tovar-Moll, F, Fallgatter, AJ, Kardatzki, B, Schwarz, L, Anikin, A, Baranov, A, Gogberashvili, T, Kapilushniy, D, Solovieva, A, El Marroun, H, White, T, Karkashadze, G, Namazova-Baranova, L, Ethofer, T, Mattos, P, Banaschewski, T, Coghill, D, Plessen, KJ, Kuntsi, J, Mehta, MA, Paloyelis, Y, Harrison, NA, Bellgrove, MA, Silk, TJ, Cubillo, AI, Rubia, K, Lazaro, L, Brem, S, Walitza, S, Frodl, T, Zentis, M, Castellanos, FX, Yoncheva, YN, Haavik, J, Reneman, L, Conzelmann, A, Lesch, K-P, Pauli, P, Reif, A, Tamm, L, Konrad, K, Oberwelland Weiss, E, Busatto, GF, Louza, MR, Durston, S, Hoekstra, PJ, Oosterlaan, J, Stevens, MC, Ramos-Quiroga, JA, Vilarroya, O, Fair, DA, Nigg, JT, Thompson, PM, Buitelaar, JK, Faraone, SV, Shaw, P, Tiemeier, H, Bralten, J and Franke, B (2019) Brain imaging of the cortex in ADHD: a coordinated analysis of large-scale clinical and population-based samples. The American Journal of Psychiatry 176, 531542.CrossRefGoogle ScholarPubMed
Iacono, WG (2014) Neurobehavioral aspects of multidimensional psychopathology. The American Journal of Psychiatry 171, 12361239.CrossRefGoogle ScholarPubMed
Iacono, WG and Malone, SM (2011) Developmental endophenotypes: indexing genetic risk for substance abuse with the P300 brain event-related potential. Child Development Perspectives 5, 239247.CrossRefGoogle ScholarPubMed
Iacono, WG, Carlson, SR, Malone, SM and McGue, M (2002) P3 event-related potential amplitude and the risk for disinhibitory disorders in adolescent boys. Archives of General Psychiatry 59, 750757.CrossRefGoogle ScholarPubMed
Iacono, WG, Malone, SM and McGue, M (2008) Behavioral disinhibition and the development of early-onset addiction: common and specific influences. Annual Review of Clinical Psychology 4, 325348.CrossRefGoogle ScholarPubMed
Iacono, WG, Malone, SM and Vrieze, SI (2017) Endophenotype best practices. International Journal of Psychophysiology 111, 115144.CrossRefGoogle ScholarPubMed
Irons, DE, Iacono, WG and McGue, M (2015) Tests of the effects of adolescent early alcohol exposures on adult outcomes. Addiction 110, 269278.CrossRefGoogle ScholarPubMed
Jacobus, J and Tapert, SF (2013) Neurotoxic effects of alcohol in adolescence. Annual Review of Clinical Psychology 9, 703721.CrossRefGoogle ScholarPubMed
Jaeger, BC, Edwards, LJ, Das, K and Sen, PK (2017) An R2 statistic for fixed effects in the generalized linear mixed model. Journal of Applied Statistics 44, 10861105.CrossRefGoogle Scholar
Johnston, LD, Miech, RA, O'Malley, PM, Bachman, JG, Schulenberg, JE and Patrick, ME (2019) Monitoring the Future National Survey Results on Drug Use 19752018: Overview, Key Findings on Adolescent Drug Use. Ann Arbor: Institute for Social Research, University of Michigan.CrossRefGoogle Scholar
Jones, KA, Porjesz, B, Chorlian, D, Rangaswamy, M, Kamarajan, C, Padmanabhapillai, A, Stimus, A and Begleiter, H (2006) S-transform time-frequency analysis of P300 reveals deficits in individuals diagnosed with alcoholism. Clinical Neurophysiology 117, 21282143.CrossRefGoogle ScholarPubMed
Kamarajan, C, Porjesz, B, Jones, K, Chorlian, D, Padmanabhapillai, A, Rangaswamy, M, Stimus, A and Begleiter, H (2006) Event-related oscillations in offspring of alcoholics: neurocognitive disinhibition as a risk for alcoholism. Biological Psychiatry 59, 625634.CrossRefGoogle ScholarPubMed
Kamarajan, C, Pandey, AK, Chorlian, DB, Manz, N, Stimus, AT, Anokhin, AP, Bauer, LO, Kuperman, S, Kramer, J, Bucholz, KK, Schuckit, MA, Hesselbrock, VM and Porjesz, B (2015) Deficient event-related theta oscillations in individuals at risk for alcoholism: a study of reward processing and impulsivity features. PLoS ONE 10, e0142659.CrossRefGoogle ScholarPubMed
Keyes, MA, Malone, SM, Elkins, IJ, Legrand, LN, McGue, M and 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 Research and Human Genetics 12, 489501.CrossRefGoogle ScholarPubMed
Koob, GF and Volkow, ND (2010) Neurocircuitry of addiction. Neuropsychopharmacology 35, 10511051.CrossRefGoogle Scholar
Kuznetsova, A, Brockhoff, PB and Christensen, RHB (2017) Lmertest package: tests in linear mixed effects models. Journal of Statistical Software 82, 126.CrossRefGoogle Scholar
Luciana, M and Collins, PF (2012) Incentive motivation, cognitive control, and the adolescent brain: is It time for a paradigm shift? Child Development Perspectives 6, 392399.Google ScholarPubMed
Luciana, M, Collins, PF, Muetzel, RL and Lim, KO (2013) Effects of alcohol use initiation on brain structure in typically developing adolescents. The American Journal of Drug and Alcohol Abuse 39, 345355.CrossRefGoogle ScholarPubMed
Lüdecke, D (2019) sjstats: Statistical Functions for Regression Models (Version 0.17.4).Google Scholar
Mackey, S, Allgaier, N, Chaarani, B, Spechler, P, Orr, C, Bunn, J, Allen, NB, Alia-Klein, N, Batalla, A, Blaine, S, Brooks, S, Caparelli, E, Chye, YY, Cousijn, J, Dagher, A, Desrivieres, S, Feldstein-Ewing, S, Foxe, JJ, Goldstein, RZ, Goudriaan, AE, Heitzeg, MM, Hester, R, Hutchison, K, Korucuoglu, O, Li, C-SR, London, E, Lorenzetti, V, Luijten, M, Martin-Santos, R, May, A, Momenan, R, Morales, A, Paulus, MP, Pearlson, G, Rousseau, M-E, Salmeron, BJ, Schluter, R, Schmaal, L, Schumann, G, Sjoerds, Z, Stein, DJ, Stein, EA, Sinha, R, Solowij, N, Tapert, S, Uhlmann, A, Veltman, D, van Holst, R, Whittle, S, Wright, MJ, Yücel, M, Zhang, S, Yurgelun-Todd, D, Hibar, DP, Jahanshad, N, Evans, A, Thompson, PM, Glahn, DC, Conrod, P, Garavan, H and ENIGMA Addiction Working Group (2018) Mega-analysis of gray matter volume in substance dependence: general and substance-specific regional effects. The American Journal of Psychiatry 176, 119128.CrossRefGoogle ScholarPubMed
Makeig, S, Delorme, A, Westerfield, M, Jung, TP, Townsend, J, Courchesne, E and Sejnowski, TJ (2004) Electroencephalographic brain dynamics following manually responded visual targets. PLoS Biology 2, 747762.CrossRefGoogle ScholarPubMed
Malone, SM, Taylor, J, Marmorstein, NR, McGue, M and Iacono, WG (2004) Genetic and environmental influences on antisocial behavior and alcohol dependence from adolescence to early adulthood. Development and Psychopathology 16, 943966.CrossRefGoogle ScholarPubMed
Malone, SM, Luciana, M, Wilson, S, Sparks, JC, Hunt, RH, Thomas, KM and Iacono, WG (2014) Adolescent drinking and motivated decision-making: a Cotwin-control investigation with monozygotic twins. Behavior Genetics 44, 407418.CrossRefGoogle ScholarPubMed
McGue, M, Malone, S, Keyes, M and Iacono, WG (2014) Parent-offspring similarity for drinking: a longitudinal adoption study. Behavior Genetics 44, 620628.CrossRefGoogle ScholarPubMed
Nieuwenhuis, S, Aston-Jones, G and Cohen, JD (2005) Decision making, the P3, and the locus coeruleus-norepinephrine system. Psychological Bulletin 131, 510532.CrossRefGoogle ScholarPubMed
Nigg, JT, Wong, MM, Martel, MM, Jester, JM, Puttler, LI, Glass, JM, Adams, KM, Fitzgerald, HE and Zucker, RA (2006) Poor response inhibition as a predictor of problem drinking and illicit drug use in adolescents at risk for alcoholism and other substance use disorders. Journal of the American Academy of Child and Adolescent Psychiatry 45, 468475.CrossRefGoogle ScholarPubMed
Norman, AL, Pulido, C, Squeglia, LM, Spadoni, AD, Paulus, MP and Tapert, SF (2011) Neural activation during inhibition predicts initiation of substance use in adolescence. Drug and Alcohol Dependence 119, 216223.CrossRefGoogle ScholarPubMed
Patrick, CJ, Venables, NC, Yancey, JR, Hicks, BM, Nelson, LD and Kramer, MD (2013) A construct-network approach to bridging diagnostic and physiological domains: application to assessment of externalizing psychopathology. Journal of Abnormal Psychology 122, 902916.CrossRefGoogle ScholarPubMed
Patrick, CJ, Iacono, WG and Venables, NC (2019) Incorporating neurophysiological measures into clinical assessments: fundamental challenges and a strategy for addressing them. Psychological Assessment.CrossRefGoogle Scholar
Perlman, G, Markin, A and Iacono, WG (2013) P300 amplitude reduction is associated with early-onset and late-onset pathological substance use in a prospectively studied cohort of 14-year-old adolescents. Psychophysiology 50, 974982.Google Scholar
Pfefferbaum, A, Kwon, D, Brumback, T, Thompson, WK, Cummins, K, Tapert, SF, Brown, SA, Colrain, IM, Baker, FC, Prouty, D, De Bellis, MD, Clark, DB, Nagel, BJ, Chu, W, Park, SH, Pohl, KM and Sullivan, EV (2018) Altered brain developmental trajectories in adolescents after initiating drinking. The American Journal of Psychiatry 175, 370380.CrossRefGoogle ScholarPubMed
Poikolainen, K, Tuulio-Henriksson, A, Aalto-Setälä, T, Marttunen, M and Lönnqvist, J (2001) Predictors of alcohol intake and heavy drinking in early adulthood: a 5-year follow-up of 15–19-year-old Finnish adolescents. Alcohol and Alcoholism 36, 8588.CrossRefGoogle ScholarPubMed
Polich, J (2007) Updating P300: an integrative theory of P3a and P3b. Clinical Neurophysiology 118, 21282148.CrossRefGoogle ScholarPubMed
Rangaswamy, M, Jones, KA, Porjesz, B, Chorlian, DB, Padmanabhapillai, A, Kamarajan, C, Kuperman, S, Rohrbaugh, J, O'Connor, SJ, Bauer, LO, Schuckit, MA and Begleiter, H (2007) Delta and theta oscillations as risk markers in adolescent offspring of alcoholics. International Journal of Psychophysiology 63, 315.CrossRefGoogle Scholar
R Core Team (2018) R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing.Google Scholar
Salvatore, JE, Gottesman, II and Dick, DM (2015) Endophenotypes for alcohol use disorder: an update on the field. Current Addiction Reports 2, 7690.CrossRefGoogle ScholarPubMed
Saunders, GRB, McGue, M, Iacono, WG and Elkins, IJ (2017) Parent-offspring resemblance for drinking behaviors in a longitudinal twin sample. Journal of Studies on Alcohol and Drugs 78, 4958.CrossRefGoogle Scholar
Savage, JE, Rose, RJ, Pulkkinen, L, Silventoinen, K, Korhonen, T, Kaprio, J, Gillespie, N and Dick, DM (2018) Early maturation and substance use across adolescence and young adulthood: a longitudinal study of Finnish twins. Development and Psychopathology 30, 7992.CrossRefGoogle Scholar
Squeglia, LM and Gray, KM (2016) Alcohol and drug use and the developing brain. Current Psychiatry Reports 18, 46.CrossRefGoogle ScholarPubMed
Squeglia, LM, Tapert, SF, Sullivan, EV, Jacobus, J, Meloy, MJ, Rohlfing, T and Pfefferbaum, A (2015) Brain development in heavy-drinking adolescents. The American Journal of Psychiatry 172, 531542.CrossRefGoogle ScholarPubMed
Substance Abuse and Mental Health Services Administration (2018) Key substance use and mental health indicators in the United States: results from the 2017 National Survey on Drug Use and Health (HHS Publication No. SMA 18-5068, NSDUH Series H-53). Rockville, MD: Center for Behavioral Health Statistics and Quality, Substance Abuse and Mental Health Services Administration. Retrieved from https://www.samhsa.gov/data/.Google Scholar
Tarter, RE, Kirisci, L, Mezzich, A, Cornelius, JR, Pajer, K, Vanyukov, M, Gardner, W, Blackson, T and Clark, D (2003) Neurobehavioral disinhibition in childhood predicts early age at onset of substance use disorder. The American Journal of Psychiatry 160, 10781085.CrossRefGoogle ScholarPubMed
Tessner, KD and Hill, SY (2010) Neural circuitry associated with risk for alcohol use disorders. Neuropsychology Review 20, 120.CrossRefGoogle ScholarPubMed
Verleger, R and Śmigasiewicz, K (2016) Do rare stimuli evoke large P3s by being unexpected? A comparison of oddball effects between standard-oddball and prediction-oddball tasks. Advances in Cognitive Psychology/University of Finance and Management in Warsaw 12, 88104.CrossRefGoogle ScholarPubMed
Verleger, R, Jaskowski, P and Wascher, E (2005) Evidence for an integrative role of P3b in linking reaction to perception. Journal of Psychophysiology 19, 165181.CrossRefGoogle Scholar
Verleger, R, Baur, N, Metzner, MF and Smigasiewicz, K (2014) The hard oddball: effects of difficult response selection on stimulus-related P3 and on response-related negative potentials. Psychophysiology 51, 10891100.CrossRefGoogle ScholarPubMed
Wells, JE, Horwood, LJ and Fergusson, DM (2004) Drinking patterns in mid-adolescence and psychosocial outcomes in late adolescence and early adulthood. Addiction 99, 15291541.CrossRefGoogle ScholarPubMed
Wetherill, RR, Castro, N, Squeglia, LM and Tapert, SF (2013) Atypical neural activity during inhibitory processing in substance-naïve youth who later experience alcohol-induced blackouts. Drug and Alcohol Dependence 128, 243249.CrossRefGoogle ScholarPubMed
Whelan, R, Watts, R, Orr, CA, Althoff, RR, Artiges, E, Banaschewski, T, Barker, GJ, Bokde, ALW, Büchel, C, Carvalho, FM, Conrod, PJ, Flor, H, Fauth-Bühler, M, Frouin, V, Gallinat, J, Gan, G, Gowland, P, Heinz, A, Ittermann, B, Lawrence, C, Mann, K, Martinot, J-L, Nees, F, Ortiz, N, Paillère-Martinot, M-L, Paus, T, Pausova, Z, Rietschel, M, Robbins, TW, Smolka, MN, Ströhle, A, Schumann, G, Garavan, H and IMAGEN Consortium (2014) Neuropsychosocial profiles of current and future adolescent alcohol misusers. Nature 512, 185189.CrossRefGoogle ScholarPubMed
Wiers, RW, Boelema, SR, Nikolaou, K and Gladwin, TE (2015) On the development of implicit and control processes in relation to substance use in adolescence. Current Addiction Reports 2, 141155.CrossRefGoogle ScholarPubMed
Wilson, S, Malone, SM, Thomas, KM and Iacono, WG (2015) Adolescent drinking and brain morphometry: a co-twin control analysis. Developmental Cognitive Neuroscience 16, 130138.CrossRefGoogle ScholarPubMed
Yoon, HH, Malone, SM, Burwell, SJ, Bernat, EM and Iacono, WG (2013) Association between P3 event-related potential amplitude and externalizing disorders: a time-domain and time-frequency investigation of 29-year-old adults. Psychophysiology 50, 595609.CrossRefGoogle ScholarPubMed
Yoon, HH, Malone, SM and Iacono, WG (2015) Longitudinal stability and predictive utility of the visual P3 response in adults with externalizing psychopathology. Psychophysiology 52, 16321645.CrossRefGoogle ScholarPubMed
Zucker, RA, Heitzeg, MM and Nigg, JT (2011) Parsing the undercontrol-disinhibition pathway to substance use disorders: a multilevel developmental problem. Child Development Perspectives 5, 248255.CrossRefGoogle ScholarPubMed
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