Adolescence

Resources

Almy, B., Kuskowski, M., Malone, S. M., Myers, E., & Luciana, M. (2018). A longitudinal analysis of adolescent decision-making with the Iowa Gambling Task . Developmental Psychology, 54(4), 689. https://doi.org/10.1037/dev0000460

Alves, F., Figueiredo, D. V., & Vagos, P. (2022). The prevalence of adolescent social fears and social anxiety disorder in school contexts. International Journal of Environmental Research and Public Health, 19(19), 12458. https://doi.org/10.1177/15346501221144069

Anderson, R. C., & Haney, M. (2021). Reflection in the creative process of early adolescents: The mediating roles of creative metacognition, self-efficacy, and self-concept. Psychology of Aesthetics, Creativity, and the Arts, 15(4), 612. https://doi.org/10.1037/aca0000324

Anderson, K., & Priebe, S. (2021). Concepts of resilience in adolescent mental health research. Journal of Adolescent Health, 69(5), 689-695. https://doi.org/10.1016/j.jadohealth.2021.03.035

Baker, A. E., & Galván, A. (2020). Threat or thrill? the neural mechanisms underlying the development of anxiety and risk taking in adolescence. Developmental Cognitive Neuroscience, 45, 100841.https://doi.org/10.1016/j.dcn.2020.100841

Ballarotto, G., Volpi, B., Marzilli, E., & Tambelli, R. (2018). Adolescent Internet abuse: A study on the role of attachment to parents and peers in a large community sample.  BioMed Research International, 2018.  https://doi.org/10.1155/2018/5769250

Becker, A. B. C., Lüken, L. M., Kelker, L., Holtmann, M., Daseking, M., & Legenbauer, T. (2022). Cognitive profiles of adolescent inpatients with substance use disorder. Children, 9(5), 756. https://doi.org/10.3390/children9050756

Belcher, B. R., Zink, J., Azad, A., Campbell, C. E., Chakravartti, S. P., & Herting, M. M. (2021). The roles of physical activity, exercise, and fitness in promoting resilience during adolescence: effects on mental well-being and brain development. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 6(2), 225-237. https://doi.org/10.1016/j.bpsc.2020.08.005

Bell, V., Bishop, D. V., & Przybylski, A. K. (2015). The debate over digital technology and young people. The British Medical Journal.  doi: 10.1136/bmj.h3064

Bernanke, J., Luna, A., Chang, L., Bruno, E., Dworkin, J., & Posner, J. (2022). Structural brain measures among children with and without ADHD in the Adolescent Brain and Cognitive Development Study cohort: a cross-sectional US population-based study. The Lancet Psychiatry, 9(3), 222-231. DOI: 10.1016/S2215-0366(21)00505-8

Berona, J., Sroka, A. W., Gelardi, K. L., Guyer, A. E., Hipwell, A. E., & Keenan, K. (2023). Maternal socialization of emotion and the development of emotion regulation in early adolescent girls. Emotion, 23(3), 872. https://doi.org/10.1037/emo0001110

Bjork, J. M. (2020). The ups and downs of relating nondrug reward activation to substance use risk in adolescents. Current Addiction Reports, 7, 421-429. https://doi.org/10.1007/s40429-020-00327-7

Blankenstein, N. E., Schreuders, E., Peper, J. S., Crone, E. A., & van Duijvenvoorde, A. C. (2018). Individual differences in risk-taking tendencies modulate the neural processing of risky and ambiguous decision-making in adolescence. NeuroImage, 172, 663-673. https://doi.org/10.1016/j.neuroimage.2018.01.085

Boelema, S. R., Harakeh, Z., van Zandvoort, M. J., Reijneveld, S. A., Verhulst, F. C., Ormel, J., & Vollebergh, W. A. (2016). Executive functioning before and after onset of alcohol use disorder in adolescence. A TRAILS study. Journal of Psychiatric Research, 78, 78-85. https://doi.org/10.1016/j.jpsychires.2016.03.014

BrainFacts. (2016). The workings of the adolescent brain. [video] (3:14 minutes). Available on: The Workings of the Adolescent Brain.

Brand, M., Young, K. S., Laier, C., Wölfling, K., & Potenza, M. N. (2016). Integrating psychological and neurobiological considerations regarding the development and maintenance of specific Internet-use disorders: An Interaction of Person-Affect-Cognition-Execution (I-PACE) model . Neuroscience & Biobehavioral Reviews, 71, 252-266. https://doi.org/10.1016/j.neubiorev.2016.08.033

Bryan, A. D., Magnan, R. E., Claus, E. W., Hutchison, K. E., Ewing, S. W. F., & Schmiege, S. J. (2021). Randomized controlled trial of an alcohol-related sexual risk reduction intervention with adolescents: the role of neurocognitive activation during risky decision-making. In A. C. Samson, D. Sander, & U. Kramer’s (Eds.) Change in emotion and mental health (pp. 209-237). Academic Press. https://doi.org/10.1016/C2021-0-02589-X

Cao, C., Rijlaarsdam, J., van der Voort, A., Ji, L., Zhang, W., & Bakermans-Kranenburg, M. J. (2018). Associations between dopamine D2 receptor (DRD2) gene, maternal positive parenting and trajectories of depressive symptoms from early to mid-adolescence. Journal of Abnormal Child Psychology, 46(2), 365-379. https://doi.org/10.1007/s10802-017-0294-5

Casement, M. D., Guyer, A. E., Hipwell, A. E., McAloon, R. L., Hoffmann, A. M., Keenan, K. E., & Forbes, E. E. (2014). Girls’ challenging social experiences in early adolescence predict neural response to rewards and depressive symptoms. Developmental Cognitive Neuroscience, 8, 18-27. https://doi.org/10.1016/j.dcn.2013.12.003

Casey, B. J. (2015). Beyond simple models of self-control to circuit-based accounts of adolescent behavior . Annual Review of Psychology, 66, 295-319. https://doi.org/10.1146/annurev-psych-010814-015156

Centers for Disease Control and Prevention. (2015). Adolescence: Preparing for lifelong health and wellness. [video] (1:00:02 minutes).

Cheng, T. W., Mills, K. L., & Pfeifer, J. H. (2024). Revisiting adolescence as a sensitive period for sociocultural processing. Neuroscience & Biobehavioral Reviews, 105820. https://doi.org/10.1016/j.neubiorev.2024.105820

Claus, E. D., Ewing, S. W. F., Magnan, R. E., Montanaro, E., Hutchison, K. E., & Bryan, A. D. (2018). Neural mechanisms of risky decision making in adolescents reporting frequent alcohol and/or marijuana use . Brain Imaging and Behavior, 12(2), 564-576. https://doi.org/10.1007/s11682-017-9723-x

Cockerham, D., Tyler‐Wood, T., & Lin, L. (2024). An inquiry‐based approach to understanding well‐being and smartphone usage: Constructing research with adolescent students. Mind, Brain, and Education. https://doi.org/10.1111/mbe.12405

Conte, S., Richards, J. E., Fox, N. A., Valadez, E. A., McSweeney, M., Tan, E., ... & Buzzell, G. A. (2023). Multimodal study of the neural sources of error monitoring in adolescents and adults. Psychophysiology, 60(10), e14336. https://doi.org/10.1111/psyp.14336

Cope, L. M., Martz, M. E., Hardee, J. E., Zucker, R. A., & Heitzeg, M. M. (2019). Reward activation in childhood predicts adolescent substance use initiation in a high-risk sample. Drug and Alcohol Dependence, 194, 318-325. https://doi.org/10.1016/j.drugalcdep.2018.11.003

Crash Course. (2014). Adolescence: Crash course psychology #20. [video] (10:14 minutes). Retrieved 19 Dec 2019 fromAdolescence: Crash Course Psychology #20

Davidow, J. Y., Insel, C., & Somerville, L. H. (2018). Adolescent development of value-guided goal pursuit. Trends in Cognitive Sciences, 22(8), 725-736. DOI: 10.1016/j.tics.2018.05.003

Delios, M. S., Kehoe, C. E., & Pizarro-Campagna, E. (2023). The role peer responses to adolescent expression of emotions plays in their emotion regulation: A systematic literature review. Mental Health & Prevention, 32, 200299. https://doi.org/10.1016/j.mhp.2023.200299

Demidenko, M. I., Mumford, J. A., Ram, N., & Poldrack, R. A. (2024). A multi-sample evaluation of the measurement structure and function of the modified monetary incentive delay task in adolescents. Developmental Cognitive Neuroscience, 65, 101337. https://doi.org/10.1016/j.dcn.2023.101337

Dick, A. S., Lopez, D. A., Watts, A. L., Heeringa, S., Reuter, C., Bartsch, H., ... & Thompson, W. K. (2021). Meaningful associations in the adolescent brain cognitive development study. NeuroImage, 239, 118262. https://doi.org/10.1016/j.neuroimage.2021.118262

Dow-Edwards, D., MacMaster, F. P., Peterson, B. S., Niesink, R., Andersen, S., & Braams, B. R. (2019). Experience during adolescence shapes brain development: From synapses and networks to normal and pathological behavior. Neurotoxicology and Teratology, 76, Article 106834. https://doi.org/10.1016/j.ntt.2019.106834

Dray, J., Bowman, J., Campbell, E., Freund, M., Wolfenden, L., Hodder, R. K., ... & Small, T. (2017). Systematic review of universal resilience-focused interventions targeting child and adolescent mental health in the school setting. Journal of the American Academy of Child & Adolescent Psychiatry, 56(10), 813-824. https://doi.org/10.1016/j.jaac.2017.07.780

Dua, T.. (2018). Mental health in adolescence. [video] (4:07 minutes). World Health Organization. Retrieved 19 Dec 2019 from Mental health in adolescence

Duell, N., Kwon, S. J., Do, K. T., Turpyn, C. C., Prinstein, M. J., Lindquist, K. A., & Telzer, E. H. (2022). Positive risk taking and neural sensitivity to risky decision making in adolescence. Developmental Cognitive Neuroscience, 57, 101142. https://doi.org/10.1016/j.dcn.2022.101142

Edelson, S. M., & Reyna, V. F. (2021). How fuzzy-trace theory predicts development of risky decision making, with novel extensions to culture and reward sensitivity. Developmental Review, 62, 100986. https://doi.org/10.1016/j.dr.2021.100986

Fandakova, Y., Selmeczy, D., Leckey, S., Grimm, K. J., Wendelken, C., Bunge, S. A., & Ghetti, S. (2017). Changes in ventromedial prefrontal and insular cortex support the development of metamemory from childhood into adolescence . Proceedings of the National Academy of Sciences, 114(29), 7582-7587. https://doi.org/10.1073/pnas.1703079114

Favini, A., Virzì, A. T., Lunetti, C., Cannito, L., Quarto, T., & Palladino, P. (2025). Individual differences in emotion-regulation development. In M. Ibrahim’s (Ed.) Emotional regulation - Theory and application across clinical settings. DOI: 10.5772/intechopen.1008931

Feczko, E., Conan, G., Marek, S., Tervo-Clemmens, B., Cordova, M., Doyle, O., ... & Fair, D. A. (2021). Adolescent Brain Cognitive Development (ABCD) community MRI collection and utilities. BioRxiv, 2021-07. https://doi.org/10.1101/2021.07.09.451638

Fehlbaum, L. V., Borbás, R., Paul, K., Eickhoff, S. B., & Raschle, N. M. (2022). Early and late neural correlates of mentalizing: ALE meta-analyses in adults, children and adolescents. Social Cognitive and Affective Neuroscience, 17(4), 351-366. https://doi.org/10.1093/scan/nsab105

Ferschmann, L., Vijayakumar, N., Grydeland, H., Overbye, K., Mills, K. L., Fjell, A. M., ... & Tamnes, C. K. (2021). Cognitive reappraisal and expressive suppression relate differentially to longitudinal structural brain development across adolescence. Cortex, 136, 109-123. https://doi.org/10.1016/j.cortex.2020.11.022

Fischer, A. S., Ellwood-Lowe, M. E., Colich, N. L., Cichocki, A., Ho, T. C., & Gotlib, I. H. (2019). Reward-circuit biomarkers of risk and resilience in adolescent depression. Journal of Affective Disorders, 246, 902-909. https://doi.org/10.1016/j.jad.2018.12.104

Firth, J., Torous, J., Stubbs, B., Firth, J. A., Steiner, G. Z., Smith, L., ... & Sarris, J. (2019). The “online brain”: how the Internet may be changing our cognition. World Psychiatry, 18(2), 119-129.  https://doi.org/10.1002/wps.20617

Galván, A. (2021). Adolescent brain development and contextual influences: A decade in review. Journal of Research on Adolescence, 31(4), 843-869.  https://doi.org/10.1111/jora.12687

Gautam, P., Warner, T. D., Kan, E. C., & Sowell, E. R. (2015). Executive function and cortical thickness in youths prenatally exposed to cocaine, alcohol and tobacco. Developmental Cognitive Neuroscience, 16, 155-165. https://doi.org/10.1016/j.dcn.2015.01.010

Giedd, J. N. (2015). Adolescent neuroscience of addiction: A new era. Developmental Cognitive Neuroscience, 16(C), 192-193. doi: 10.1016/j.dcn.2015.11.002

Giedd, J. N. (2018). A ripe time for adolescent research. Journal of Research on Adolescence, 28(1), 157-159. doi: 10.1111/jora.12378

Goddings, A. L., Roalf, D., Lebel, C., & Tamnes, C. K. (2021). Development of white matter microstructure and executive functions during childhood and adolescence: a review of diffusion MRI studies. Developmental Cognitive Neuroscience, 51, 101008. https://doi.org/10.1016/j.dcn.2021.101008

Graber, J. A., Brooks-Gunn, J., & Petersen, A. C. (Eds.). (2018). Transitions through adolescence: Interpersonal domains and context. Psychology Press.

Haller, S. P., Kadosh, K. C., Scerif, G., & Lau, J. Y. (2015). Social anxiety disorder in adolescence: How developmental cognitive neuroscience findings may shape understanding and interventions for psychopathology. Developmental Cognitive Neuroscience, 13, 11-20. https://doi.org/10.1016/j.dcn.2015.02.002

Haromi, M. E., Golbabaei, S., & Borhani, K. (2025). Deconstructing temporal stages of prosocial and antisocial risky decision-making in adolescence. Journal of Cognitive Neuroscience, 1-33. https://doi.org/10.1162/jocn_a_02294

Hart, H., Lim, L., Mehta, M. A., Curtis, C., Xu, X., Breen, G., ... & Rubia, K. (2018). Altered functional connectivity of fronto-cingulo-striatal circuits during error monitoring in adolescents with a history of childhood abuse. Frontiers in Human Neuroscience, 12, 7. https://doi.org/10.3389/fnhum.2018.00007

Hartley, C. A., & Somerville, L. H. (2015). The neuroscience of adolescent decision-making.  Current Opinion in Behavioral Sciences, 5, 108-115. https://doi.org/10.1016/j.cobeha.2015.09.004

Hauser, T. U., Iannaccone, R., Walitza, S., Brandeis, D., & Brem, S. (2015). Cognitive flexibility in adolescence: neural and behavioral mechanisms of reward prediction error processing in adaptive decision making during development. Neuroimage, 104, 347-354. https://doi.org/10.1016/j.neuroimage.2014.09.018

Heitzeg, M. M., Cope, L. M., Martz, M. E., Hardee, J. E., & Zucker, R. A. (2015). Brain activation to negative stimuli mediates a relationship between adolescent marijuana use and later emotional functioning . Developmental Cognitive Neuroscience, 16, 71-83. https://doi.org/10.1016/j.dcn.2015.09.003

Helfinstein, S. M., & Casey, B. J. (2014). Commentary on Spielberg at al.,“Exciting fear in adolescence: Does pubertal development alter threat processing?”. Developmental Cognitive Neuroscience, 8, 96-97.

Heller, A. S., & Casey, B. J. (2016). The neurodynamics of emotion: Delineating typical and atypical emotional processes during adolescence . Developmental Science, 19(1), 3-18.

Herd, T., & Kim-Spoon, J. (2021). A systematic review of associations between adverse peer experiences and emotion regulation in adolescence. Clinical Child and Family Psychology Review, 24(1), 141-163. https://doi.org/10.1007/s10567-020-00337-x

Heyne, N., Gnambs, T., Lockl, K., & Neuenhaus, N. (2023). Predictors of adolescents’ change in reading literacy: The role of reading strategies, reading motivation, and declarative metacognition. Current Psychology, 42(36), 32061-32075. https://doi.org/10.1007/s12144-022-04184-7

Hinnant, J. B., McConnell, L. M., Yanes, J. A., McCormick, M. J., Murphy, J. E., Erath, S. A., & Robinson, J. L. (2019). Rewarding safe choices in peer contexts: Adolescent brain activity during decision making. Biological Psychology, 142, 45-53. https://doi.org/10.1016/j.biopsycho.2019.01.008

Ho, T. C., Dennis, E. L., Thompson, P. M., & Gotlib, I. H. (2018). Network-based approaches to examining stress in the adolescent brain. Neurobiology of stress, 8, 147-157. https://doi.org/10.1016/j.ynstr.2018.05.002

Holm, M. C., Leonardsen, E. H., Beck, D., Dahl, A., Kjelkenes, R., de Lange, A. M. G., & Westlye, L. T. (2023). Linking brain maturation and puberty during early adolescence using longitudinal brain age prediction in the ABCD cohort. Developmental Cognitive Neuroscience, 60, 101220. https://doi.org/10.1016/j.dcn.2023.101220

Holz, N. E., Berhe, O., Sacu, S., Schwarz, E., Tesarz, J., Heim, C. M., & Tost, H. (2023). Early social adversity, altered brain functional connectivity, and mental health. Biological Psychiatry, 93(5), 430-441.https://doi.org/10.1016/j.biopsych.2022.10.019

Icenogle, G., & Cauffman, E. (2021). Adolescent decision making: A decade in review. Journal of Research on Adolescence, 31(4), 1006-1022. https://doi.org/10.1111/jora.12608

Immordino-Yang, M. H., & Knecht, D. R. (2020). Building meaning builds teens' brains. Educational Leadership, 77(8), 36-43.

Jacobus, J., Squeglia, L. M., Meruelo, A. D., Castro, N., Brumback, T., Giedd, J. N., & Tapert, S. F. (2015). Cortical thickness in adolescent marijuana and alcohol users: A three-year prospective study from adolescence to young adulthood . Developmental Cognitive Neuroscience, 16, 101-109.

Jankowski, K. F., Moore, W. E., Merchant, J. S., Kahn, L. E., & Pfeifer, J. H. (2014). But do you think I’m cool?: Developmental differences in striatal recruitment during direct and reflected social self-evaluations . Developmental Cognitive Neuroscience, 8, 40-54.

Jaworska, N., & MacQueen, G. (2015). Adolescence as a unique developmental period.  Journal of psychiatry & Neuroscience: JPN, 40(5), 291.

Jiang, M., Ding, R., Zhao, Y., Xu, J., Hao, L., Chen, M., ... & Qin, S. (2024). Development of the triadic neural systems involved in risky decision-making during childhood. Developmental Cognitive Neuroscience, 66, 101346. https://doi.org/10.1016/j.dcn.2024.101346

Jo, E., Lee, M., & Lee, W. (2021). Influence of early adolescents’ mastery goals on inter-and intra-individual relationships between metacognitive monitoring and academic outcomes. The Journal of Early Adolescence, 41(8), 1203-1227. https://doi.org/10.1177/027243162198981

Jones, S. A., Del Giacco, A. C., Barnes, S. J., & Nagel, B. J. (2023). Adolescent substance use is associated with altered brain response during processing of negative emotional stimuli. Journal of Studies on Alcohol and Drugs, 84(2), 257-266. https://doi.org/10.15288/jsad.22-00143

Kaiser, R. (2019). Teen brains are not broken. [video] (11:30). TEDtalk. Available on: https://www.youtube.com/watch?v=ZQUBFgenMXk

Kang, K., Alexander, N., Wessel, J. R., Wimberger, P., Nitzsche, K., Kirschbaum, C., & Li, S. C. (2021). Neurocognitive development of novelty and error monitoring in children and adolescents. Scientific Reports, 11(1), 19844. https://doi.org/10.1038/s41598-021-99043-z

Karoly, H. C., Bryan, A. D., Weiland, B. J., Mayer, A., Dodd, A., & Ewing, S. W. F. (2015). Does incentive-elicited nucleus accumbens activation differ by substance of abuse? An examination with adolescents. Developmental Cognitive Neuroscience, 16, 5-15. https://doi.org/10.1016/j.dcn.2015.05.005

Katsantonis, I. (2024). Exploring age-related differences in metacognitive self-regulation: the influence of motivational factors in secondary school students. Frontiers in Psychology, 15, 1383118. doi: 10.3389/fpsyg.2024.1383118

Khan Academy. (2015). Brain changes in adolescence. [video] (6:30 minutes). Retrieved 19 Dec 2019 from https://www.khanacademy.org/test-prep/mcat/behavior/human-development/v/brain-changes-during-adolescence

Khan Academy. (2015). Physical development in adolescences. [video] (4:33 minutes). Retrieved 19 Dec 2019 from https://www.khanacademy.org/test-prep/mcat/behavior/human-development/v/brain-changes-during-adolescence

Klein, Z., Berger, S., Vervliet, B., & Shechner, T. (2021). Fear learning, avoidance, and generalization are more context-dependent for adults than adolescents. Behaviour Research and Therapy, 147, 103993. https://doi.org/10.1016/j.brat.2021.103993

Knežević, M. (2024). Error processing in young adulthood: Age-related differences in electrophysiology and behavioral performance. Neuropsychology, 38(3), 259. https://doi.org/10.1037/neu0000944

Kopala‐Sibley, D. C., Cyr, M., Finsaas, M. C., Orawe, J., Huang, A., Tottenham, N., & Klein, D. N. (2018). Early childhood parenting predicts late childhood brain functional connectivity during emotion perception and reward processing. Child Development. https://doi.org/10.1111/cdev.13126

Kwon, S. J., Turpyn, C. C., Duell, N., & Telzer, E. H. (2020). Neural underpinnings of social contextual influences on adolescent risk-taking. Current Addiction Reports, 7, 413-420. https://doi.org/10.1007/s40429-020-00328-6

Lakhan-Pal, S. (2023). Psychopathology in the transition to adolescence: The interacting roles of resting-state functional brain connectivity and positive parenting practices [Doctoral dissertation]. University of Minnesota. 30567412. https://tinyurl.com/2sn8fcsa

Lamblin, M., Murawski, C., Whittle, S., & Fornito, A. (2017). Social connectedness, mental health and the adolescent brain. Neuroscience & Biobehavioral Reviews, 80, 57-68. https://doi.org/10.1016/j.neubiorev.2017.05.010

Landsiedel, J., & Gilbert, S. J. (2015). Creating external reminders for delayed intentions: Dissociable influence on “task-positive” and “task-negative” brain networks.  NeuroImage, 104, 231-240. https://doi.org/10.1016/j.neuroimage.2014.10.021

Lauharatanahirun, N., Maciejewski, D., Holmes, C., Deater‐Deckard, K., Kim‐Spoon, J., & King‐Casas, B. (2018). Neural correlates of risk processing among adolescents: Influences of parental monitoring and household chaos. Child Development, 89(3), 784-796. https://doi.org/10.1111/cdev.13036

Lee, F. S., Heimer, H., Giedd, J. N., Lein, E. S., Šestan, N., Weinberger, D. R., & Casey, B. J. (2014). Adolescent mental health—opportunity and obligation . Science, 346(6209), 547-549.

Lehman, B. L. (2018). Resilience as a mediating factor for behavioral and academic outcomes for adolescents with executive functioning impairments. University of Northern Colorado.

LeWinn, K. Z., Strigo, I. A., Connolly, C. G., Ho, T. C., Tymofiyeva, O., Sacchet, M. D., ... & Yang, T. T. (2018). An exploratory examination of reappraisal success in depressed adolescents: Preliminary evidence of functional differences in cognitive control brain regions. Journal of Affective Disorders, 240, 155-164. https://doi.org/10.1016/j.jad.2018.07.020

Li, J. B., Willems, Y. E., Stok, F. M., Deković, M., Bartels, M., & Finkenauer, C. (2019). Parenting and self-control across early to late adolescence: A three-level meta-analysis. Perspectives on Psychological Science, 14(6), 967-1005. https://doi.org/10.1177/1745691619863046

Li, Z., Zhang, W., & Du, Y. (2023). Neural mechanisms of intertemporal and risky decision-making in individuals with internet use disorder: A perspective from directed functional connectivity. Journal of Behavioral Addictions, 12(4), 907-919. https://doi.org/10.1556/2006.2023.00068

Li, X., Newman, J., Li, D., & Zhang, H. (2016). Temperament and adolescent problematic Internet use: The mediating role of deviant peer affiliation . Computers in Human Behavior, 60, 342-350.

Liang, X., Sun, L., Liao, X., Lei, T., Xia, M., Duan, D., ... & He, Y. (2024). Structural connectome architecture shapes the maturation of cortical morphology from childhood to adolescence. Nature Communications, 15(1), 784. https://doi.org/10.1038/s41467-024-44863-6

Lisdahl, K. M., Sher, K. J., Conway, K. P., Gonzalez, R., Ewing, S. W. F., Nixon, S. J., ... & Heitzeg, M. (2018). Adolescent brain cognitive development (ABCD) study: overview of substance use assessment methods . Developmental Cognitive Neuroscience, 32, 80-96.

Loewen, O.K., Maximova, K., Ekwaru, J.P., Faught, E.L., Asbridge, M., Ohinmaa, A. & Veugelers, P.J. (2019). Lifestyle behavior and mental health in early adolescence. [video] (3:01 minutes). Pediatrics (5) e20183307 https://doi.org/10.1542/peds.2018-3307 . Retrieved 19 Dec 2019 from https://pediatrics.aappublications.org/content/143/5/e20183307

Logan, R. W., Hasler, B. P., Forbes, E. E., Franzen, P. L., Torregrossa, M. M., Huang, Y. H., ... & McClung, C. A. (2018). Impact of sleep and circadian rhythms on addiction vulnerability in adolescents. Biological Psychiatry, 83(12), 987-996. https://doi.org/10.1016/j.biopsych.2017.11.035

Ma, L., Zhang, Y., Huang, C., & Cui, Z. (2020). Resilience-oriented cognitive behavioral interventions for depressive symptoms in children and adolescents: A meta-analytic review. Journal of Affective Disorders, 270, 150-164. https://doi.org/10.1016/j.jad.2020.03.051

McCormick, E. M., & Telzer, E. H. (2017). Adaptive adolescent flexibility: neurodevelopment of decision-making and learning in a risky context. Journal of Cognitive Neuroscience, 29(3), 413-423. https://doi.org/10.1162/jocn_a_01061

Martin, F., Holtmann, M., & Legenbauer, T. (2022). Better safe than sorry: divergent error-related negativity and error positivity in shame-prone adolescents. International Journal of Psychophysiology, 182, 81-89. https://doi.org/10.1016/j.ijpsycho.2022.10.002

Martz, M. E., Hardee, J. E., Cope, L. M., McCurry, K. L., Soules, M., Zucker, R. A., & Heitzeg, M. M. (2022). Nucleus Accumbens response to reward among children with a family history of alcohol use problems: convergent findings from the ABCD study® and Michigan longitudinal study. Brain Sciences, 12(7), 913. https://doi.org/10.3390/brainsci12070913

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