A time of change: behavioral and neural correlates of adolescent sensitivity to appetitive and aversive environmental cues
Open accessAbstract
Adolescence is a developmental period that entails substantial changes in affective and incentive-seeking behavior relative to both childhood and adulthood, including a heightened propensity to engage in risky behaviors and experience persistent negative and labile mood states. This review discusses the emotional and incentive-driven behavioral changes in adolescents and their associated neural mechanisms, focusing on the dynamic interactions between the amygdala, ventral striatum, and prefrontal cortex. Common behavioral changes during adolescence may be associated with a heightened responsiveness to incentives and emotional cues while the capacity to effectively engage in cognitive and emotion regulation is still relatively immature. We highlight empirical work in humans and animals that addresses the interactions between these neural systems in adolescents relative to children and adults, and propose a neurobiological model that may account for the nonlinear changes in adolescent behavior. Finally, we discuss other influences that may contribute to exaggerated reward and emotion processing associated with adolescence, including hormonal fluctuations and the role of the social environment.
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In typically developing youth, emotional reactivity to negative content declines and regulatory capacity increases with age.
“Prevailing models of emotional development posit that emotional reactivity to negative content declines, while regulatory capacity increases with age in typically developing (TD) youth [18,19].”
From Trauma, PTSD, and the Developing Brain (2017) · cites this paper as [18]
In “Brain mechanisms of reduced top-down control over responses to salient cues in adolescents” (page unavailable), the paper describes regulatory prefrontal maturation with age and less regulatory control in adolescents than adults. But it describes emotional reactivity as peaking during adolescence, with adolescents showing greater responses to emotional cues than both children and adults. That does not support a general decline in reactivity with age across typically developing youth. (LLM, conf=0.86)
Experimental — accuracy not yet measuredPuberty/adolescence represents the second particularly sensitive and vulnerable period with a new major change in HPA axis activity.
“The later developmental stage of puberty/adolescence represents the second particularly sensitive and vulnerable period with a new major change in HPA axis activity.”
From Developmental Trajectories of Early Life Stress and Trauma: A Narrative Review on Neurobiological Aspects Beyond Stress System Dysregulation (2019) · cites this paper as [114]
The section on gonadal hormones (page unavailable) describes adolescence as a possible sensitive period and reports a significant rise in circulating gonadal hormones. The paper does not identify puberty/adolescence as a second sensitive period or describe a new major change in HPA-axis activity; its hormonal discussion concerns gonadal hormones. (LLM, conf=0.87)
Experimental — accuracy not yet measuredDuring adolescence, emotionality is heightened by neural changes while self-regulation remains underdeveloped.
“This is due in part, to the physical and chemical changes occurring in the brain from early adolescence, which result in a ‘neural mismatch’ whereby emotionality is heightened in response to real and/or perceived stressors (Bailen et al. 2019), yet the self-regulatory system required to manage these emotions remains largely underdeveloped until early adulthood (Somerville et al. 2010).”
From Risk and protective factors for prospective changes in adolescent mental health during the COVID-19 pandemic (2021) · cites this paper as Somerville et al. 2010
In “Brain mechanisms of reduced top-down control over responses to salient cues in adolescents” (page not provided), the paper says prefrontal regulatory control remains relatively immature during adolescence compared with adulthood. It does not establish that the self-regulatory system remains largely underdeveloped until early adulthood, the specific endpoint attributed to this source. (LLM, conf=0.84)
Experimental — accuracy not yet measuredIn puberty/adolescence, the HPA axis transitions from hypo-responsivity into a period of increased activity with progressively higher basal and reactive cortisol levels.
“In this phase, the HPA axis transitions from hypo-responsivity into a period of increased activity (101, 114–116) with progressive higher basal (106, 110, 117, 118) and reactive (106, 118–121) cortisol levels.”
From Developmental Trajectories of Early Life Stress and Trauma: A Narrative Review on Neurobiological Aspects Beyond Stress System Dysregulation (2019) · cites this paper as [114]
The citation is attached to the proposed transition in HPA-axis activity, not specifically to the later claims about basal and reactive cortisol. The section on gonadal hormones describes increases in gonadal hormones during adolescence, but does not address an HPA-axis transition from hypo-responsivity. Searches for HPA, hyporesponsivity, and cortisol found no passage establishing that transition. (LLM, conf=0.76)
Experimental — accuracy not yet measuredTriangulating dietary data with data from wearable tech, mobile apps, school canteen sales data, ecological momentary assessment, direct observation, and proxy reports can provide insights into behaviour changes.
“Triangulating this data with data from wearable tech, mobile apps, and school canteen sales data, ecological momentary assessment (EMA) for real-time data collection, direct observation of adolescents’ eating behaviours, and proxy reports from family members can provide insights into behaviour changes [70–76].”
From School-based healthy eating interventions for adolescents aged 10–19 years: an umbrella review (2024) · cites this paper as [76]
The 'Synthesizing a model of adolescent behavior change' section discusses adolescents’ responses to environmental cues, not ways to combine dietary data. A passage in 'Storm and stress? Affective changes during adolescence' describes a beeper study sampling momentary mood, but it does not address triangulating dietary data with wearables, apps, canteen sales, observation, or proxy reports. Searches for those methods and dietary-data triangulation found no supporting passage. (LLM, conf=0.72)
Experimental — accuracy not yet measured
Adolescence is characterized by unique patterns of neural activity and changes in innervation and myelination within brain regions that contribute to heightened incentive salience at this developmental stage.
“Adolescence is characterized by unique patterns of neural activity and changes in innervation and myelination within brain regions that contribute to heightened incentive salience at this developmental stage (Ernst et al., 2005, Ernst et al., 2006, Somerville et al., 2010).”
From Sensitive periods of substance abuse: Early risk for the transition to dependence (2017) · cites this paper as Somerville et al., 2010
The imbalance model, unlike dual systems accounts, does not propose orthogonal systems, but rather attempts to account for adolescent behavior from an integrated circuit-based perspective.
“The imbalance model, unlike dual systems accounts of adolescence (Steinberg et al., 2008, Luna and Wright, in press) does not propose orthogonal systems, but rather attempts to account for adolescent behavior from an integrated circuit-based perspective (Casey et al., 2008, Somerville et al., 2010, Casey, 2015).”
From Beyond simple models of adolescence to an integrated circuit-based account: A commentary (2016) · cites this paper as Somerville et al., 2010
Casey's integrative developmental theory postulates that increased emotionality in adolescence results from an imbalance between amygdala and prefrontal cortex development.
“Casey and colleagues88,89 provide an integrative developmental theory that postulates that the increased emotionality common during adolescence results from the imbalance between patterns of amygdala and PFC development (Fig. 3).”
From Neural Substrates of Childhood Anxiety Disorders (2012) · cites this paper as [89]
The combination of heightened activity in reward-related circuits and underdeveloped cognitive control centres contributes to greater emotionality, impulsivity and reward-seeking behaviour.
“The combination of heightened activity in reward-related circuits and underdeveloped cognitive control centres contributes to greater emotionality, impulsivity and reward-seeking behaviour174,175.”
From Rhythms of life: circadian disruption and brain disorders across the lifespan (2019) · cites this paper as [175]
Dual system theories of adolescent neurodevelopment posit that risk taking increases during adolescence due to a competition between the affective reward sensitivity system and the cognitive control system.
“Dual system theories of adolescent neurodevelopment posit that risk taking increases during adolescence due to a competition between two neural systems — the affective system, which is involved in reward sensitivity, and the cognitive control system, which is involved in cognitive regulation (Somerville et al., 2010; Steinberg, 2010).”
From The effects of poor quality sleep on brain function and risk taking in adolescence (2013) · cites this paper as Somerville et al., 2010
Risk taking arises, in part, due to a cortical-subcortical imbalance, in which a relatively immature PFC is less effective at regulating a sensitive and more rapidly developing ventral striatum.
“These findings are consistent with the dual system model of neural development, which suggests that risk taking arises, in part, due to a cortical–subcortical imbalance, in which a relatively immature PFC is less effective at regulating a sensitive and more rapidly developing ventral striatum (Somerville et al., 2010; Steinberg, 2010).”
From The effects of poor quality sleep on brain function and risk taking in adolescence (2013) · cites this paper as Somerville et al., 2010
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References 114 · Cited by 1,025
Research works printed but not linked: 1
- Figner B Mackinlay RJ Wilkening F Weber EU Risky choice in children, adolescents, and adults: Affective versus deliberative processes and the role of executive functions 2009 Proceedings of the Society for Research in Child Development, Denver, CO, USA
- Authors
- Somerville, L. H., Jones, R. M., & Casey, B. J.
- Affiliations
- Cornell University (US)
- Weill Cornell Medicine (US)
- Corresponding author
- Somerville, Leah H.
- Venue
- Brain and Cognition
- Publisher
- Elsevier BV
- Published
- 2010-02
- Volume
- 72
- Issue
- 1
- Pages
- 124-133
- ISSN
- 0278-2626 (ISSN-L)
- PMC
- PMC2814936
- OpenAlex
- W2143443600
- Semantic Scholar
- 47d95f2b7bb51d91d3d983017599dda190409bb9
- Cited by
- 1,025
- References
- 114
- Citations by year
- 2026: 58 · 2025: 64 · 2024: 71 · 2023: 44 · 2022: 55 · 2021: 65 · 2020: 52 · 2019: 69 · 2018: 72 · 2017: 80 · 2016: 89 · 2015: 82 · 2014: 57 · 2013: 71 · 2012: 45
- FWCI
- 2.38
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Brain and Cognition (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- National Institute of Mental Health (P50MH079513, R01MH073175, R01 MH73175, 50-MH079513)
- National Institute on Drug Abuse (R01DA018879, DA007274, T32DA007274)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
- Keywords
- adolescence, reward processing, emotional cues, amygdala, ventral striatum, prefrontal cortex, risk-taking, mood instability, hormonal fluctuations, social environment
- MeSH terms
- Adolescent, Animals, Behavior, Brain, Cues, Environment, Humans, Models, Neurological
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