Adolescence

Resources

Ahmed, S. P., Bittencourt-Hewitt, A., & Sebastian, C. L. (2015). Neurocognitive bases of emotion regulation development in adolescence.  Developmental Cognitive Neuroscience, 15, 11-25.

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.

Anokhin, A. P., & Golosheykin, S. (2015). Neural correlates of error monitoring in adolescents prospectively predict initiation of tobacco use . Developmental Cognitive Neuroscience, 16, 166-173.

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.

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

Blakemore, S.J. (2014). The mysterious workings of the adolescent brain. [video] (14:08). TEDTalk. Available on: https://www.ted.com/talks/sarah_jayne_blakemore_the_mysterious_workings_of_the_adolescent_brain?utm_campaign=tedspread&utm_medium=referral&utm_source=tedcomshare

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.

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.

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.

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.

Caouette, J. D., & Guyer, A. E. (2014). Gaining insight into adolescent vulnerability for social anxiety from developmental cognitive neuroscience . Developmental Cognitive Neuroscience, 8, 65-76.

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.

Casey, B. J. (2015). Beyond simple models of self-control to circuit-based accounts of adolescent behavior . Annual Review of Psychology, 66, 295-319.

Centers for Disease Control and Prevention. (2015). Adolescence: Preparing for lifelong health and wellness. [video] (1:00:02 minutes). Retrieved 19 Dec 2019 fromAdolescence: Preparing for Lifelong Health and Wellness

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.

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

Dahl, R. E. (2016). The developmental neuroscience of adolescence: Revisiting, refining, and extending seminal models . Developmental Cognitive Neuroscience, 17(2016, 101-102.

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

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.

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

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

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.

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.

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.

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

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

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.

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.

Hartley, C. A., & Somerville, L. H. (2015). The neuroscience of adolescent decision-making.  Current Opinion in Behavioral Sciences, 5, 108-115.

Hasler, B. P., Soehner, A. M., & Clark, D. B. (2015). Sleep and circadian contributions to adolescent alcohol use disorder.  Alcohol, 49(4), 377-387.

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.

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.

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.

Hjemdal, O., Vogel, P. A., Solem, S., Hagen, K., & Stiles, T. C. (2011). The relationship between resilience and levels of anxiety, depression, and obsessive–compulsive symptoms in adolescents . Clinical Psychology & Psychotherapy, 18(4), 314-321.

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.

Hurd, N. M., & Zimmerman, M. A. (2010). Natural mentoring relationships among adolescent mothers: A study of resilience . Journal of Research on Adolescence, 20(3), 789-809.

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.

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

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.

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

Ko, C. H., Yen, J. Y., Yen, C. F., Lin, H. C., & Yang, M. J. (2007). Factors predictive for incidence and remission of internet addiction in young adolescents: a prospective study . CyberPsychology & Behavior, 10(4), 545-551.

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.

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.

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.

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.

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.

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

Malone, I. B., Leung, K. K., Clegg, S., Barnes, J., Whitwell, J. L., Ashburner, J., ... & Ridgway, G. R. (2015). Accurate automatic estimation of total intracranial volume: a nuisance variable with less nuisance . Neuroimage, 104, 366-372.

Masselink, M., Van Roekel, E., & Oldehinkel, A. J. (2018). Self-esteem in early adolescence as predictor of depressive symptoms in late adolescence and early adulthood: The mediating role of motivational and social factors. Journal of Youth and Adolescence, 47(5), 932-946.

McQueeny, T., Schweinsburg, B. C., Schweinsburg, A. D., Jacobus, J., Bava, S., Frank, L. R., & Tapert, S. F. (2009). Altered white matter integrity in adolescent binge drinkers.  Alcoholism: Clinical and Experimental Research, 33(7), 1278-1285.

Mills, K. L. (2016). Possible effects of internet use on cognitive development in adolescence . Media and Communication, 4(3), 4-12.

Morris, A. S., Squeglia, L. M., Jacobus, J., & Silk, J. S. (2018). Adolescent brain development: Implications for understanding risk and resilience processes through neuroimaging research.  Journal of Research on Adolescence, 28(1), 4-9.

Nature. (2018). Adolescent risk takers: The power of peers. [video] (5:06 minutes). Retrieved 19 Dec 2019 from https://www.nature.com/collections/vbmfnrsssw/multimedia

O’Callaghan, G., & Stringaris, A. (2019). Reward processing in adolescent depression across neuroimaging modalities. Zeitschrift für Kinder-und Jugendpsychiatrie und Psychotherapie.

Orben, A., Przybylski, A.K. (2019) The association between adolescent well-being and digital technology use. Nature Human Behavior. 3, 173–182 (2019). https://doi.org/10.1038/s41562-018-0506-1

Paulus, M. P., Squeglia, L. M., Bagot, K., Jacobus, J., Kuplicki, R., Breslin, F. J., ... & Tapert, S. F. (2019). Screen media activity and brain structure in youth: Evidence for diverse structural correlation networks from the ABCD study . Neuroimage, 185, 140-153.

Pepper, J. K., Farrelly, M. C., & Watson, K. A. (2018). Adolescents' understanding and use of nicotine in e-cigarettes . Addictive Behaviors, 82, 109-113.

Pfeifer, J. (2019). Debunking misunderstandings of adolescences.  [video] (4:55 minutes). University of Oregon. Retrieved 19 Dec 2019 fromDebunking Misunderstandings of Adolescence

Pfeifer, J. H., & Allen, N. B. (2016). The audacity of specificity: Moving adolescent developmental neuroscience towards more powerful scientific paradigms and translatable models.  Developmental Cognitive Neuroscience, 17, 131.

Reyna, V. F., Wilhelms, E. A., McCormick, M. J., & Weldon, R. B. (2015). Development of risky decision making: Fuzzy‐trace theory and neurobiological perspectives . Child Development Perspectives, 9(2), 122-127.

Rice, K., Viscomi, B., Riggins, T., & Redcay, E. (2014). Amygdala volume linked to individual differences in mental state inference in early childhood and adulthood.  Developmental Cognitive Neuroscience, 8, 153-163.

Riveros, R., & Immordino-Yang, M. H. (2021). Toward a neuropsychology of spiritual development in adolescence. Adolescent Research Review, 6(3), 323-332. https://doi.org/10.1007/s40894-021-00158-1

Romer, D., Reyna, V. F., & Satterthwaite, T. D. (2017). Beyond stereotypes of adolescent risk taking: Placing the adolescent brain in developmental context. Developmental Cognitive Neuroscience, 27, 19-34.

Rosenbaum, G. M., Venkatraman, V., Steinberg, L., & Chein, J. M. (2018). The influences of described and experienced information on adolescent risky decision making.  Developmental Review, 47, 23-43.

Sawyer, S. M., Azzopardi, P. S., Wickremarathne, D., & Patton, G. C. (2018). The age of adolescence. The Lancet Child & Adolescent Health, 2(3), 223-228.

Schriber, R. A., & Guyer, A. E. (2016). Adolescent neurobiological susceptibility to social context.  Developmental Cognitive Neuroscience, 19, 1-18.

Schwartz, Y., Williams, T. S., Roberts, S. D., Hellmann, J., & Zlotnik Shaul, R. (2018). Adolescent decision-making in Canadian medical contexts: Integrating neuroscience and consent frameworks. Paediatrics & child health, 23(6), 374-376.

Siegel, D. (2018). The adolescent brain. [video] (4:36 minutes). Available on:Dan Siegel - “The Adolescent Brain”

Silveri, M. M., Dager, A. D., Cohen-Gilbert, J. E., & Sneider, J. T. (2016). Neurobiological signatures associated with alcohol and drug use in the human adolescent brain . Neuroscience & Biobehavioral Reviews, 70, 244-259.

Smith, A. R., Rosenbaum, G. M., Botdorf, M. A., Steinberg, L., & Chein, J. M. (2018). Peers influence adolescent reward processing, but not response inhibition.  Cognitive, Affective, & Behavioral Neuroscience, 18(2), 284-295.

Sonuga‐Barke, E. J., Cortese, S., Fairchild, G., & Stringaris, A. (2016). Annual Research Review: Transdiagnostic neuroscience of child and adolescent mental disorders–differentiating decision making in attention‐deficit/hyperactivity disorder, conduct disorder, depression, and anxiety. Journal of Child Psychology and Psychiatry, 57(3), 321-349.

Spechler, P. A., Orr, C. A., Chaarani, B., Kan, K. J., Mackey, S., Morton, A., ... & Cattrell, A. (2015). Cannabis use in early adolescence: Evidence of amygdala hypersensitivity to signals of threat . Developmental Cognitive Neuroscience, 16, 63-70.

Spielberg, J. M., Olino, T. M., Forbes, E. E., & Dahl, R. E. (2014). Exciting fear in adolescence: does pubertal development alter threat processing?. Developmental Cognitive Neuroscience, 8, 86-95.

Stautz, K., Pechey, R., Couturier, D. L., Deary, I. J., & Marteau, T. M. (2016). Do executive function and impulsivity predict adolescent health behaviour after accounting for intelligence? Findings from the ALSPAC cohort.  PloS one, 11(8), e0160512.

Stavropoulos, V., Kuss, D. J., Griffiths, M. D., Wilson, P., & Motti-Stefanidi, F. (2017). MMORPG gaming and hostility predict Internet addiction symptoms in adolescents: An empirical multilevel longitudinal study.  Addictive Behaviors, 64, 294-300.

Telzer, E. H., Fuligni, A. J., Lieberman, M. D., & Galván, A. (2014). Neural sensitivity to eudaimonic and hedonic rewards differentially predict adolescent depressive symptoms over time. Proceedings of the National Academy of Sciences, 111(18), 6600-6605.

The National Academies of Sciences, Engineering and Medicine. (2019). The promise of adolescence: Realizing opportunity for all youth. Washington, DC: Authors. Retrieved 19 Dec 2019 from: https://www.nap.edu/catalog/25388/the-promise-of-adolescence-realizing-opportunity-for-all-youth

Thoma, R. J., Monnig, M. A., Lysne, P. A., Ruhl, D. A., Pommy, J. A., Bogenschutz, M., ... & Yeo, R. A. (2011). Adolescent substance abuse: the effects of alcohol and marijuana on neuropsychological performance . Alcoholism: Clinical and Experimental Research, 35(1), 39-46.

Tian, M., Tao, R., Zheng, Y., Zhang, H., Yang, G., Li, Q., & Liu, X. (2018). Internet gaming disorder in adolescents is linked to delay discounting but not probability discounting. Computers in Human Behavior, 80, 59-66.

Tottenham, N., & Galván, A. (2016). Stress and the adolescent brain: Amygdala-prefrontal cortex circuitry and ventral striatum as developmental targets . Neuroscience & Biobehavioral Reviews, 70, 217-227.

UNICEF: (2018). The adolescent brain: A second window of opportunity. [video] (1:523 minutes). Available on:The Adolescent Brain: A second window of opportunity

van Duijvenvoorde, A. C., Achterberg, M., Braams, B. R., Peters, S., & Crone, E. A. (2016). Testing a dual-systems model of adolescent brain development using resting-state connectivity analyses . Neuroimage, 124, 409-420.

van Hoorn, J., Shablack, H., Lindquist, K. A., & Telzer, E. H. (2019). Incorporating the social context into neurocognitive models of adolescent decision-making: a neuroimaging meta-analysis.  Neuroscience & Biobehavioral Reviews.

Van Hoorn, J., Van Dijk, E., Güroğlu, B., & Crone, E. A. (2016). Neural correlates of prosocial peer influence on public goods game donations during adolescence . Social Cognitive and Affective Neuroscience, 11(6), 923-933.

Vander Wyk, B. C., Hoffman, F., & Pelphrey, K. A. (2014). Equivalent neural responses in children and adolescents with and without autism during judgments of affect.  Developmental Cognitive Neuroscience, 8, 121-130.

Wang, K., Leopold, D. R., Banich, M. T., Reineberg, A. E., Willcutt, E. G., Cutting, L. E., ... & Lu, Z. L. (2019). Characterizing and decomposing the neural correlates of individual differences in reading ability among adolescents with task-based fMRI. Developmental Cognitive Neuroscience, 37, 100647.

Weissman, D. G., Schriber, R. A., Fassbender, C., Atherton, O., Krafft, C., Robins, R. W., ... & Guyer, A. E. (2015). Earlier adolescent substance use onset predicts stronger connectivity between reward and cognitive control brain networks. Developmental Cognitive Neuroscience, 16, 121-129.

Welborn, B. L., Lieberman, M. D., Goldenberg, D., Fuligni, A. J., Galván, A., & Telzer, E. H. (2015). Neural mechanisms of social influence in adolescence.  Social Cognitive and Affective Neuroscience, 11(1), 100-109.

Whitaker, K. J., Vértes, P. E., Romero-Garcia, R., Váša, F., Moutoussis, M., Prabhu, G., ... & Tait, R. (2016). Adolescence is associated with genomically patterned consolidation of the hubs of the human brain connectome . Proceedings of the National Academy of Sciences, 113(32), 9105-9110.

White, S. F., Tyler, P. M., Erway, A. K., Botkin, M. L., Kolli, V., Meffert, H., ... & Blair, J. R. (2016). Dysfunctional representation of expected value is associated with reinforcement‐based decision‐making deficits in adolescents with conduct problems. Journal of Child Psychology and Psychiatry, 57(8), 938-946.

Willoughby, T., Good, M., Adachi, P. J., Hamza, C., & Tavernier, R. (2014). Examining the link between adolescent brain development and risk taking from a social–developmental perspective (reprinted). Brain and Cognition, 89, 70-78.

Willoughby, T., Tavernier, R., Hamza, C., Adachi, P. J., & Good, M. (2014). The triadic systems model perspective and adolescent risk taking.  Brain and Cognition, 89, 114-115.

Wilson, S., Malone, S. M., Thomas, K. M., & Iacono, W. G. (2015). Adolescent drinking and brain morphometry: a co-twin control analysis. Developmental Cognitive Neuroscience, 16, 130-138.

World Health Organization, (2013). Adolescence: a unique time requiring a tailored response.  [video] (5:52 minutes). Retrieved 19 Dec 2019 from http://www.euro.who.int/en/health-topics/Life-stages/child-and-adolescent-health/news/news/2013/02/adolescence-a-unique-time-requiring-a-tailored-response

Wright, E., Hostinar, C., & Trainor, B. (2020). Anxious to see you: neuroendocrine mechanisms of social vigilance and anxiety during adolescence. European Journal of Neuroscience, 52(1), 2516-2529. https://doi.org/10.1111/ejn.14628

Yuan, M., Cross, S. J., Loughlin, S. E., & Leslie, F. M. (2015). Nicotine and the adolescent brain . The Journal of Physiology, 593(16), 3397-3412.

Zepeda, C. D., Richey, J. E., Ronevich, P., & Nokes-Malach, T. J. (2015). Direct instruction of metacognition benefits adolescent science learning, transfer, and motivation: An in vivo study.  Journal of Educational Psychology, 107(4), 954.

Date of last update: 14-Dec-2022 CB

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