In Vivo Neuroimaging Evidence of Prefrontal Cortex Dysfunction in Adolescents With Substance Use: A Systematic Review

Authors

  • Ms. Deeksha Dinesh Master's Student
  • Mr. Surej Unnikrishnan

DOI:

https://doi.org/10.15540/nr.13.3.270

Keywords:

Adolescents, Substance use, Prefrontal Cortex, Neuroimaging methods, PRISMA

Abstract

Background. Adolescence marks a critical phase for neurodevelopment, particularly in the prefrontal cortex (PFC), which underpins executive function and impulse control. This period coincides with the vulnerability to substance use, which has a significant impact on brain maturation. In vivo neuroimaging techniques provide valuable insights into the structural and functional alterations in the PFC associated with adolescent substance use. This review aims to synthesize the available literature focusing on the PFC dysfunction in adolescent substance users. Methods. A comprehensive search was conducted across peer-reviewed, Scopus-indexed databases, including PubMed, Web of Science, and Google Scholar. Eligible studies included adolescents aged 10–19 years with reported substance use like alcohol, nicotine, cannabis, opioids, stimulants, or polysubstance use, assessed via structural or functional neuroimaging techniques (MRI, fMRI, DTI, PET). Data were extracted on study design, sample characteristics, imaging modalities, and findings related to PFC dysfunction. Results. Sixteen studies met the inclusion criteria. Structural MRI studies reported reduced cortical thickness and gray matter volume in the dorsolateral and orbitofrontal regions among the cannabis and alcohol users. Functional imaging studies consistently showed the hypoactivation of PFC circuits during executive function tasks, along with the altered resting-state connectivity within the default mode and reward networks. Conclusion. This evidence suggests that adolescent substance use is linked with structural, functional, and neurochemical alterations in the PFC, which may further affect executive functioning and impulse control. Thus, it highlights the need for longitudinal studies to understand the neurodevelopmental vulnerabilities and highlight the importance of early prevention and intervention strategies targeting adolescent substance users.

References

Boer, O. D., El Marroun, H., & Muetzel, R. L. (2024). Adolescent substance use initiation and long-term neurobiological outcomes: Insights, challenges and opportunities. Molecular Psychiatry, 29(7), 2211–2222. https://doi.org/10.1038/s41380-024-02471-2

Brumback, T., Squeglia, L. M., Jacobus, J., Pulido, C., Tapert, S. F., & Brown, S. A. (2015). Adolescent heavy drinkers’ amplified brain responses to alcohol cues decrease over one month of abstinence. Addictive Behaviors, 46, 45–52. https://doi.org/10.1016/j.addbeh.2015.03.001

Cheetham, A., Allen, N. B., Whittle, S., Simmons, J. G., Yücel, M., & Lubman, D. I. (2012). Orbitofrontal volumes in early adolescence predict initiation of cannabis use: A 4-year longitudinal and prospective study. Biological Psychiatry, 71(8), 684–692. https://doi.org/10.1016/j.biopsych.2011.10.029

Cheetham, A., Allen, N. B., Whittle, S., Simmons, J. G., Yücel, M., & Lubman, D. I. (2014). Volumetric differences in the anterior cingulate cortex prospectively predict alcohol-related problems in adolescence. Psychopharmacology, 231(8), 1731–1742. https://doi.org/10.1007/s00213-014-3483-8

Clark, D. B., Thatcher, D. L., & Tapert, S. F. (2008). Alcohol, psychological dysregulation, and adolescent brain development. Alcoholism: Clinical and Experimental Research, 32(3), 375–385. https://doi.org/10.1111/j.1530-0277.2007.00601.x

Deneen, K. M., Hussain, H., Waheed, J., Xinwen, W., Yu, D., & Yuan, K. (2022). Comparison of frontostriatal circuits in adolescent nicotine addiction and internet gaming disorder. Journal of Behavioral Addictions, 11(1), 26–39. https://doi.org/10.1556/2006.2021.00086

Ewing, S. W. F., Chung, T., Caouette, J. D., Ketcherside, A., Hudson, K. A., & Filbey, F. M. (2017). Orbitofrontal cortex connectivity as a mechanism of adolescent behavior change. NeuroImage, 151, 14–23. https://doi.org/10.1016/j.neuroimage.2016.12.076

Ferdous, N. (2022). Examining neurocognitive markers in adolescence as predictors of changes in later substance use. San Diego State University.

Goldstein, R. Z., & Volkow N. D. (2011). Dysfunction of the prefrontal cortex in addiction: Neuroimaging findings and clinical implications. Nature Reviews Neuroscience, 12(11), 652–669. https://doi.org/10.1038/nrn3119

Li, C. S., Luo, X., Yan, P., Bergquist, K., & Sinha, R. (2009). Altered impulse control in alcohol dependence: Neural measures of stop signal performance. Alcoholism: Clinical and Experimental Research, 33(4), 740–750. https://doi.org/10.1111/j.1530-0277.2008.00891.x

Lisdahl, K. M., Gilbart, E. R., Wright, N. E., & Shollenbarger, S. (2013). Dare to delay? The impacts of adolescent alcohol and marijuana use onset on cognition, brain structure, and function. Frontiers in Psychiatry, 4, Article 53. https://doi.org/10.3389/fpsyt.2013.00053

Lopez-Larson, M. P., Bogorodzki, P., Rogowska, J., McGlade, E., King, J. B., Terry, J., & Yurgelun-Todd, D. (2011). Altered prefrontal and insular cortical thickness in adolescent marijuana users. Behavioural Brain Research, 220(1), 164–172. https://doi.org/10.1016/j.bbr.2011.02.001

Miller, A. P., Baranger, D. A. A., Paul, S. E., Garavan, H., Mackey, S., Tapert, S. F., LeBlanc, K. H., Agrawal, A., & Bogdan, R. (2024). Neuroanatomical variability and substance use initiation in late childhood and early adolescence. JAMA Network Open, 7(12), Article e2452027. https://doi.org/10.1001/jamanetworkopen.2024.52027

Orr, C., Spechler, P., Cao, Z., Albaugh, M., Chaarani, B., Mackey, S., D'Souza, D., Allgaier, N., Banaschewski, T., Bokde, A. L. W., Bromberg, U., Büchel, C., Burke Quinlan, E., Conrod, P., Desrivières, S., Flor, H., Frouin, V., Gowland, P., Heinz, A., … Garavan, H. (2019). Grey matter volume differences associated with extremely low levels of cannabis use in adolescence. Journal of Neuroscience, 39(10), 1817–1827. https://doi.org/10.1523/jneurosci.3375-17.2018

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., ... Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71

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 and Biobehavioral Reviews, 70, 244–259. https://doi.org/10.1016/j.neubiorev.2016.06.042

Squeglia, L. M., Jacobus, J., & Tapert S. F. (2009). The influence of substance use on adolescent brain development. Clinical EEG and Neuroscience, 40(1), 31–38. https://doi.org/10.1177/155005940904000110

Squeglia, L. M., Spadoni, A. D., Infante, M. A., Myers, M. G., & Tapert, S. F. (2012). Initiating moderate to heavy alcohol use predicts changes in neuropsychological functioning for adolescent girls and boys. Psychology of Addictive Behaviors, 26(3), 427–437. https://doi.org/10.1037/a0016516

Stanger, C., Elton, A., Ryan, S. R., James, G. A., Budney, A. J., & Kilts, C. D. (2013). Neuroeconomics and adolescent substance abuse: Individual differences in neural networks and delay discounting. Journal of the American Academy of Child & Adolescent Psychiatry, 52(7), 747–755. https://doi.org/10.1016/j.jaac.2013.04.013

Sultan, A. A., Kennedy, K. G., Fiksenbaum, L., MacIntosh, B. J., & Goldstein, B. I. (2021). Neurostructural correlates of cannabis use in adolescent bipolar disorder. International Journal of Neuropsychopharmacology, 24(3), 181–190. https://doi.org/10.1093/ijnp/pyaa077

Swartz, J. R., Weissman, D. G., Ferrer, E., Beard, S. J., Fassbender, C., Robins, R. W., Hastings, P. D., & Guyer, A. E. (2020). Reward-related brain activity prospectively predicts increases in alcohol use in adolescents. Journal of the American Academy of Child & Adolescent Psychiatry, 59(3), 391–400. https://doi.org/10.1016/j.jaac.2019.05.022

Tervo-Clemmens, B., Simmonds, D., Calabro, F. J., Day, N. L., Richardson, G. A., & Luna, B. (2018). Adolescent cannabis use and brain systems supporting adult working memory encoding, maintenance, and retrieval. NeuroImage, 169, 496–509. https://doi.org/10.1016/j.neuroimage.2017.12.041

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 control networks. Developmental Cognitive Neuroscience, 16, 121–129. https://doi.org/10.1016/j.dcn.2015.07.002

Whelan, R., Watts, R., Orr, C. A., Althoff, R. R., Artiges, E., Banaschewski, T., Barker, G. J., Bokde, A. L. W., Büchel, C., Carvalho, F. M., Conrod, P. J., Flor, H., Fauth-Bühler, M., Frouin, V., Gallinat, J., Gan, G., Gowland, P., Heinz, A., Ittermann, B., … the IMAGEN Consortium (2014). Neuropsychosocial profiles of current and future adolescent alcohol misusers. Nature, 512(7513), 185–189. https://doi.org/10.1038/nature13402

World Health Organization. (2024). Adolescent mental health. https://www.who.int/news-room/fact-sheets/detail/adolescent-mental-health

Downloads

Published

2026-09-28

How to Cite

Dinesh, D., & Unnikrishnan, S. (2026). In Vivo Neuroimaging Evidence of Prefrontal Cortex Dysfunction in Adolescents With Substance Use: A Systematic Review. NeuroRegulation, 13(3), 270. https://doi.org/10.15540/nr.13.3.270

Issue

Section

Review Articles