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Editorial

Decoding Adolescent Decision Making: Neurocognitive Processes, Risk Perception, and the Influence of Peers

Faculty of Psychology, International Telematic University Uninettuno, 00186 Roma, Italy
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Author to whom correspondence should be addressed.
Adolescents 2024, 4(2), 222-225; https://doi.org/10.3390/adolescents4020015
Submission received: 27 March 2024 / Accepted: 28 April 2024 / Published: 30 April 2024
(This article belongs to the Special Issue Implicit Measures of Risky Behaviors in Adolescence)
Investigating the neurocognitive mechanisms behind implicit risk assessment and decision making in adolescents is crucial for understanding the intricate array of behaviors typical of this developmental phase. This period is characterized by substantial brain development, influencing how adolescents perceive risks and make decisions in situations involving risk. This research has the potential to shape interventions and policies designed to mitigate risky behaviors in adolescents, thereby affecting their health, safety, and future direction in life.
At the heart of adolescent behavioral studies is the dual systems model [1], which suggests that decision making is governed by two separate but interconnected neural pathways. The cognitive control system, primarily located in the prefrontal cortex, is tasked with self-regulation, planning, and impulse inhibition. Conversely, the reward system, situated in the limbic system, seeks pleasure and is particularly responsive to rewards [2]. These systems develop at different rates throughout adolescence, with the reward system maturing more quickly than the cognitive control system. This imbalance leads to a period where the temptation of immediate rewards can dominate over the self-regulatory abilities [3,4].
This developmental incongruity is thought to contribute to the inclination towards risk-taking seen in adolescents [5]. Behaviors such as substance abuse and reckless driving are frequently due to the overvaluation of immediate gratification at the expense of long-term outcomes, a bias caused by the cognitive control system’s relative underdevelopment. The influence of peer presence intensifies this dynamic, as social rewards become especially influential during adolescence, further increasing the likelihood of risk-taking [6].
Neuroimaging research has been instrumental in delineating the developmental changes within the adolescent brain, substantiating the dual systems model with empirical data. Investigations reveal that regions implicated in reward processing, such as the nucleus accumbens, exhibit heightened activity in adolescents, a phenomenon that becomes even more pronounced under peer influence. In contrast, areas associated with cognitive control exhibit a more gradual maturation process, achieving full maturity only in adults in their mid-20s [7].
Grasping these neurocognitive dynamics is pivotal in understanding the propensity of adolescents to partake in risky behaviors and identifying strategies to curtail such tendencies. For example, interventions aimed at bolstering cognitive control, such as mindfulness exercises, or approaches that adjust reward perception might be effective in minimizing risk-taking actions. Additionally, this understanding highlights the critical need for policies and interventions tailored to adolescents’ developmental stages to be both impactful and suitable.
The decision-making mechanics in adolescence involve a complex blend of cognitive, emotional, and social factors, deeply intertwined with the brain’s developmental status. As Icenogle and Cauffman elaborate [8], this stage is marked by an increased responsiveness to rewards coupled with an ongoing maturation of impulse control capabilities, significantly influencing adolescent conduct and decision-making processes.
Adolescents demonstrate a pronounced sensitivity to rewards [9], attributed to the heightened activity of the dopaminergic system, essential for perceiving pleasure and reward, which exhibits hyperactivity compared to children or adults. This heightened responsiveness may predispose adolescents to engage in actions perceived as immediately rewarding or gratifying, from seeking social approval to indulging in risky behaviors to pursuing novel experiences. The amplified reward sensitivity significantly affects decision making, often skewing it toward short-term benefits at the expense of long-term advantages.
Simultaneously, the prefrontal cortex, responsible for executive functions such as planning, decision making, and impulse inhibition, is still maturing during adolescence. This ongoing development leads to a diminished ability to restrain impulsive reactions to rewarding stimuli. In essence, while the adolescent brain is finely tuned to the allure of immediate rewards, it is less capable of regulating the impulses to chase such rewards, particularly in scenarios associated with risk or adverse outcomes.
Emotional and social dynamics significantly enhance the influence of the overactive reward system and the underdeveloped impulse control on adolescent decision making. The presence of peers or emotionally charged scenarios can amplify the perceived value of rewards [10], driving adolescents towards behaviors they might typically avoid, such as substance use or reckless driving. This quest for social acceptance and fear of ostracization can suppress the emerging impulse control, leading to decisions that favor immediate social gratification.
Moreover, adolescence is characterized by increased emotional intensity and instability, further complicating the decision-making landscape. Emotional states can skew risk and reward assessments, with positive emotions heightening reward appeal and negative emotions potentially weakening impulse control mechanisms.
The pronounced risk-taking observed in adolescents is not due to a failure to recognize risk but stems from a critical developmental discrepancy within their brains. This discrepancy is marked by a mismatch between an enhanced tendency towards novelty seeking, propelled by the evolving reward system, and the delayed development of the self-regulatory capacities essential for impulse control, centered in the prefrontal cortex. As this cortex, vital for executive functions including decision making and risk evaluation, matures in early adulthood, adolescents tend to seek new experiences and take risks, valuing immediate rewards and experiences over long-term outcomes.
The triadic model proposed by Ernst, Pine, and Hardin [11] offers an integrated framework for understanding adolescent risk-taking by emphasizing the interaction among three key neural systems: the reward system, the harm avoidance system, and the supervisory system. This model indicates that risk-taking may result from an overactive reward system, an under-responsive harm avoidance system, and an inefficient supervisory system, leading to a predisposition towards risky behaviors due to the predominant allure of immediate gratification over the potentially negative consequences.
Chein et al. [12] documented how peer presence notably increases risk-taking in adolescents, attributing this to heightened activity in the brain’s reward pathways, particularly in areas like the ventral striatum and orbitofrontal cortex, crucial for reward processing and decision making. This peer effect does not simultaneously enhance cognitive control areas, such as the prefrontal cortex, suggesting that social contexts intensify reward sensitivity to risky behaviors without bolstering impulse regulation, further inclining adolescents towards riskier choices in social scenarios.
Blankenstein et al. [13,14,15] explore the variability in adolescent risk-taking through the prism of individual neural processing differences, highlighting how personal predispositions affect brain region activation during risk-involved decisions. This variability, with some adolescents showing increased activity in reward processing areas and others in regions associated with anxiety and harm avoidance, underlines the complexity of adolescent decision making [16,17]. It suggests that personal history, temperament, and potentially genetic factors play roles in the observed differences in risk-taking behaviors during this developmental stage [18,19,20].
Clinical implications encompass the development of targeted interventions that foster cognitive control, such as mindfulness exercises, and adjust reward perception to reduce risk-taking behaviors [21,22,23]. The above considerations underline the importance of personalized age-appropriate interventions that acknowledge the neurodevelopmental status of adolescents, aiming to enhance decision-making processes and impulse control. This approach is crucial for interventions aiming at the prevention and treatment of psychopathology associated with emotion dysregulation during this vulnerable developmental period [24,25].
In conclusion, understanding the neurocognitive underpinnings of risk assessment and decision making in adolescents is imperative for devising effective clinical interventions. These interventions must be developmentally informed, leveraging insights into the neural and cognitive mechanisms at play, to mitigate risk-taking behaviors and promote healthy psychological development [26,27]. The evolving landscape of neurocognitive research offers promising avenues for enhancing clinical practices and fostering resilience among adolescents facing the complexities of risk and decision-making processes.

Author Contributions

Conceptualization, writing—original draft preparation, writing—review and editing, supervision, I.D.P. and L.C. All authors have read and agreed to the published version of the manuscript.

Conflicts of Interest

The author declares no conflicts of interest.

References

  1. Klaczynski, P.A. A dual-process model of adolescent development: Implications for decision making, reasoning, and identity. Adv. Child Dev. Behav. 2004, 32, 73–123. [Google Scholar] [PubMed]
  2. Courtiol, E.; Menezes, E.C.; Teixeira, C.M. Serotonergic regulation of the dopaminergic system: Implications for reward-related functions. Neurosci. Biobehav. Rev. 2021, 128, 282–293. [Google Scholar] [CrossRef]
  3. Tafà, M.; Cerniglia, L.; Cimino, S.; Ballarotto, G.; Marzilli, E.; Tambelli, R. Predictive values of early parental loss and psychopathological risk for physical problems in early adolescents. Front. Psychol. 2018, 9, 922. [Google Scholar] [CrossRef] [PubMed]
  4. Cerniglia, L.; Bartolomeo, L.; Capobianco, M.; Lo Russo, S.L.M.; Festucci, F.; Tambelli, R.; Adriani, W.; Cimino, S. Intersections and Divergences between Empathizing and Mentalizing: Development, Recent Advancements by Neuroimaging and the Future of Animal Modeling. Front. Behav. Neurosci. 2019, 13, 212. [Google Scholar] [CrossRef] [PubMed]
  5. Tymula, A. An experimental study of adolescent behavior under peer observation: Adolescents are more impatient and inconsistent, not more risk-taking, when observed by peers. J. Econ. Behav. Organ. 2019, 166, 735–750. [Google Scholar] [CrossRef]
  6. Van Duijvenvoorde, A.C.; Peters, S.; Braams, B.R.; Crone, E.A. What motivates adolescents? Neural responses to rewards and their influence on adolescents’ risk taking, learning, and cognitive control. Neurosci. Biobehav. Rev. 2016, 70, 135–147. [Google Scholar] [CrossRef]
  7. Ruiz de-Lara, C. Anatomical and Functional Bases Underlying Cognitive Distortion Processes in Pathological Gambling. Ph.D. Thesis, Universidad de Granada, Granada, Spain, 2020. Available online: https://hdl.handle.net/10481/81483 (accessed on 12 April 2024).
  8. Icenogle, G.; Cauffman, E. Adolescent decision making: A decade in review. J. Res. Adolesc. 2021, 31, 1006–1022. [Google Scholar] [CrossRef] [PubMed]
  9. Saragosa-Harris, N.M.; Cohen, A.O.; Reneau, T.R.; Villano, W.J.; Heller, A.S.; Hartley, C.A. Real-World Exploration Increases Across Adolescence and Relates to Affect, Risk Taking, and Social Connectivity. Psychol. Sci. 2022, 33, 1664–1679. [Google Scholar] [CrossRef] [PubMed]
  10. Silk, J.S.; Davis, S.; McMakin, D.L.; Dahl, R.E.; Forbes, E.E. Why do anxious children become depressed teenagers? The role of social evaluative threat and reward processing. Psychol. Med. 2012, 42, 2095–2107. [Google Scholar] [CrossRef]
  11. Xu, W.; Ying, F.; Luo, Y.; Zhang, X.Y.; Li, Z. Cross-sectional exploration of brain functional connectivity in the triadic development model of adolescents. Brain Imaging Behav. 2021, 15, 1855–1867. [Google Scholar] [CrossRef]
  12. Chein, J.; Albert, D.; O’Brien, L.; Uckert, K.; Steinberg, L. Peers increase adolescent risk taking by enhancing activity in the brain’s reward circuitry. Dev. Sci. 2011, 14, F1–F10. [Google Scholar] [CrossRef] [PubMed]
  13. Blankenstein, N.E.; Schreuders, E.; Peper, J.S.; Crone, E.A.; van Duijvenvoorde, A.C.K. Individual differences in risk-taking tendencies modulate the neural processing of risky and ambiguous decision-making in adolescence. Neuroimage 2018, 172, 663–673. [Google Scholar] [CrossRef] [PubMed]
  14. Penzes, P.; Buonanno, A.; Passafaro, M.; Sala, C.; Sweet, R.A. Developmental vulnerability of synapses and circuits associated with neuropsychiatric disorders. J. Neurochem. 2013, 126, 165–182. [Google Scholar] [CrossRef] [PubMed]
  15. Dick, A.S.; Lopez, D.A.; Watts, A.L.; Heeringa, S.; Reuter, C.; Bartsch, H.; Fan, C.C.; Kennedy, D.N.; Palmer, C.; Marshall, A.; et al. Meaningful associations in the adolescent brain cognitive development study. NeuroImage 2021, 239, 118262. [Google Scholar] [CrossRef] [PubMed]
  16. Parker, N.; Patel, Y.; Jackowski, A.P.; Pan, P.M.; Salum, G.A.; Pausova, Z.; Paus, T. Assessment of neurobiological mechanisms of cortical thinning during childhood and adolescence and their implications for psychiatric disorders. JAMA Psychiatry 2020, 77, 1127–1136. [Google Scholar] [CrossRef] [PubMed]
  17. Lahiri, D.K.; Maloney, B.; Zawia, N.H. The LEARn model: An epigenetic explanation for idiopathic neurobiological diseases. Mol. Psychiatry 2009, 14, 992–1003. [Google Scholar] [CrossRef] [PubMed]
  18. Tervo-Clemmens, B.; Quach, A.; Calabro, F.J.; Foran, W.; Luna, B. Meta-analysis and review of functional neuroimaging differences underlying adolescent vulnerability to substance use. NeuroImage 2020, 209, 116476. [Google Scholar] [CrossRef] [PubMed]
  19. Marzilli, E.; Cerniglia, L.; Tambelli, R.; Trombini, E.; De Pascalis, L.; Babore, A.; Trumello, C.; Cimino, S. The COVID-19 pandemic and its impact on families’ mental health: The role played by parenting stress, parents’ past trauma, and resilience. Int. J. Environ. Res. Public Health 2021, 18, 11450. [Google Scholar] [CrossRef] [PubMed]
  20. Cimino, S.; Cerniglia, L.; Almenara, C.A.; Jezek, S.; Erriu, M.; Tambelli, R. Developmental trajectories of body mass index and emotional-behavioral functioning of underweight children: A longitudinal study. Sci. Rep. 2016, 6, 20211. [Google Scholar] [CrossRef]
  21. McDanal, R.; Parisi, D.; Opara, I.; Schleider, J.L. Effects of Brief Interventions on Internalizing Symptoms and Substance Use in Youth: A Systematic Review. Clin. Child. Fam. Psychol. Rev. 2022, 25, 339–355. [Google Scholar] [CrossRef]
  22. Silvers, J.A.; Peris, T.S. Research Review: The neuroscience of emerging adulthood—Reward, ambiguity, and social support as building blocks of mental health. J. Child Psychol. Psychiatr. 2023, 64, 989–997. [Google Scholar] [CrossRef] [PubMed]
  23. Deplus, S.; Billieux, J.; Scharff, C.; Philippot, P. A Mindfulness-Based Group Intervention for Enhancing Self-Regulation of Emotion in Late Childhood and Adolescence: A Pilot Study. Int. J. Ment. Health Addict. 2016, 14, 775–790. [Google Scholar] [CrossRef]
  24. Schleider, J.; Weisz, J. Reducing risk for anxiety and depression in adolescents: Effects of a single-session intervention teaching that personality can change. Behav. Res. Ther. 2016, 87, 170–181. [Google Scholar] [CrossRef]
  25. Houck, C.D.; Hadley, W.S.; Barker, D.H.; Brown, L.K.; Hancock, E.; Almy, B. An Emotion Regulation Intervention to Reduce Risk Behaviors Among at-Risk Early Adolescents. Prev. Sci. 2015, 17, 71–82. [Google Scholar] [CrossRef] [PubMed]
  26. Kelly, E.V.; Grummitt, L.R.; Birrell, L.; Stapinski, L.; Barrett, E.L.; Boyle, J.; Teesson, M.; Newton, N.C. The school-led Preventure study: Protocol of a cluster-randomised controlled trial of effectiveness to prevent adolescent alcohol misuse, internalising problems, and externalising problems through a personality-targeted intervention delivered by school staff. Prev. Med. Rep. 2021, 21, 101286. [Google Scholar] [CrossRef]
  27. Johnson, C.; Burke, C.; Brinkman, S.; Wade, T. Effectiveness of a school-based mindfulness program for transdiagnostic prevention in young adolescents. Behav. Res. Ther. 2016, 81, 1–11. [Google Scholar] [CrossRef] [PubMed]
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MDPI and ACS Style

Cerniglia, L.; Di Pomponio, I. Decoding Adolescent Decision Making: Neurocognitive Processes, Risk Perception, and the Influence of Peers. Adolescents 2024, 4, 222-225. https://doi.org/10.3390/adolescents4020015

AMA Style

Cerniglia L, Di Pomponio I. Decoding Adolescent Decision Making: Neurocognitive Processes, Risk Perception, and the Influence of Peers. Adolescents. 2024; 4(2):222-225. https://doi.org/10.3390/adolescents4020015

Chicago/Turabian Style

Cerniglia, Luca, and Ileana Di Pomponio. 2024. "Decoding Adolescent Decision Making: Neurocognitive Processes, Risk Perception, and the Influence of Peers" Adolescents 4, no. 2: 222-225. https://doi.org/10.3390/adolescents4020015

APA Style

Cerniglia, L., & Di Pomponio, I. (2024). Decoding Adolescent Decision Making: Neurocognitive Processes, Risk Perception, and the Influence of Peers. Adolescents, 4(2), 222-225. https://doi.org/10.3390/adolescents4020015

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