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. 2022 Sep 28;13:5693. doi: 10.1038/s41467-022-33416-4

Leveraging the science of stress to promote resilience and optimize mental health interventions during adolescence

Dylan G Gee 1,, Lucinda M Sisk 1, Emily M Cohodes 1, Nessa V Bryce 2
PMCID: PMC9519553  PMID: 36171218

Abstract

Adolescence is marked by heightened stress exposure and psychopathology, but also vast potential for opportunity. We highlight how researchers can leverage both developmental and individual differences in stress responding and corticolimbic circuitry to optimize interventions during this unique developmental period.

Subject terms: Human behaviour, Stress and resilience

Stress and mental health in adolescence

Stress is a potent risk factor for psychopathology that is salient during adolescence. Stressful life events increase considerably in adolescence, and cross-species evidence suggests that the brain may be particularly sensitive to the negative effects of stress during this period1. Indeed, adolescence is characterized by heightened vulnerability: the majority of mental health disorders emerge during this stage of development, with adolescents exposed to stress earlier in life at elevated risk2. At the same time, adolescence is a period of immense opportunity, as heightened plasticity and the state of the developing brain confer unique strengths for coping with stress3.

Understanding how people respond to stress is critical for identifying targets for intervention. In particular, delineating how stress responding differs across development and across individuals can inform whom may benefit from specific interventions and how to optimize interventions for specific developmental stages or profiles of stress exposure4. As scientists and mental health professionals alike grapple with the mental health crisis among youth–including a high burden of psychopathology, limited access to care, and large-scale societal stressors5, we offer a framework for how research can leverage the science of stress and adolescent brain development to promote resilience (Fig. 1). Here we define resilience as favorable mental health outcomes despite exposure to stress and conceptualize the processes contributing to these outcomes as dynamic and occurring across multiple systems and levels within the broader social context6.

Fig. 1. Framework for an approach to research that considers developmental and individual differences in stress responding to inform optimization of mental health interventions.

Fig. 1

Cross-species evidence has demonstrated heterogeneity in mental health following stress exposure. Understanding how an individual responds to a stressor can inform how best to promote resilience or intervene to reduce stress-related psychopathology. Here we conceptualize the stress response as multifaceted, encompassing changes in neurobiological and endocrine function, subjective experiences, and thoughts, feelings, and behaviors. Differences across development and across individuals can explain variation in responses to stress and mental health. Given dynamic changes in neurobiological systems governing stress responding across development, adolescents, on average, exhibit stress responses and mental health outcomes that differ from children and adults. Many factors that vary across individuals, such as predisposing genetic and biological factors, and variability in life experiences and the current environment, will contribute to differences in stress responding and mental health. Variability in a given factor that differs across individuals is depicted via a spectrum of shading. Together, developmental timing and individual variability will contribute to how a given individual responds to a stressor, to their mental health, and, ultimately, to how interventions could be tailored to be most effective for a given individual with stress-related psychopathology.

Fostering resilience by targeting the adolescent brain

While evidence-based interventions for adolescents with stress-related disorders can be highly effective, there is immense need to enhance prevention and to optimize interventions for the many youth who do not benefit sufficiently from current treatments7. Up to 50% of individuals at all ages do not respond sufficiently to exposure-based therapies for anxiety disorders and posttraumatic stress disorder, with evidence for similar efficacy across children, adolescents, and adults8. However, the factors contributing to insufficient response rates, and thus optimal approaches to enhance treatment efficacy, may differ by age group9. Delineating how mechanisms of fear reduction and stress coping vary across development can inform efforts to optimize interventions based on the developing brain. Indeed, adolescence is marked by dynamic changes in stress reactivity and the neurobiological systems governing stress responding, including the hypothalamic-pituitary-adrenal axis and corticolimbic circuitry1. Thus, optimal strategies for adaptive coping with stress and interventions most likely to promote resilience are likely to differ for adolescents relative to children or adults7.

Exposure-based therapies are based upon principles of fear extinction, which relies on connections between the ventromedial prefrontal cortex (vmPFC) and amygdala. Cross-species evidence has shown diminished fear extinction during adolescence10, corresponding to a time of protracted development of regulatory connections between the vmPFC and amygdala11. Stress alters these same connections, and early-life stress may lead to a shift in frontoamygdala development that could predate the onset of anxiety disorders and constrain flexibility for coping with fear and stress12. These findings suggest that adolescents with stress-related psychopathology may benefit from efforts to optimize fear reduction through mechanisms that target alternative neural circuitry7, for example by bypassing prefrontally-mediated pathways (e.g., see “Reducing Fear via Safety Signal Learning”) or by targeting connections that are relatively stronger during adolescence (e.g., see “Promoting Active Coping via Stressor Controllability”). Even beyond efforts to promote resilience following stress during adolescence, harnessing insights about the adolescent brain could leverage the plasticity of this period to potentially reshape neural systems that were disrupted by stress earlier in development3.

Parsing heterogeneity across individuals to elucidate pathways of resilience

Complementing approaches that target developmental differences in stress responding, delineating individual-level factors that relate to neurodevelopment and mental health following stress–such as profiles of stress exposure–is critical for optimizing interventions13. Adolescents who experienced stress earlier in life are generally at higher risk for psychopathology, but there is vast heterogeneity in early-life stress exposure and in neurobehavioral phenotypes following early-life stress. Parsing such heterogeneity—in the nature, timing, and experiential elements of stress exposure, as well as in developmental trajectories following stress—can advance insights into the mechanisms linking stress with mental health14, 15. Alongside more traditional approaches that have been used to test predictions about specific elements or timing of stress, data-driven computational approaches can facilitate empirical derivation of key features of exposure, identify developmental windows of risk, and identify subgroups of adolescents with more uniform trajectories4. For example, a recent study applied similarity network fusion to large-scale environmental and neuroimaging data to decompose heterogeneous associations between brain structure and specific experiences during development16. Identifying subgroups of youth with more homogenous brain-environment associations enhanced prediction of mental health symptoms, suggesting that parsing individual differences in associations between the early environment and neurodevelopment may enhance identification of trajectories associated with risk versus resilience.

Considering intersections between developmental and individual differences

Research that carefully considers both developmental and individual differences, and their interactions, will provide even richer empirical knowledge to guide tailored interventions (Fig. 2). Identifying sensitive periods and delineating developmental patterns of experience-driven plasticity are critical for understanding the onset of stress-related psychopathology and how to optimize interventions. Individual differences in stress exposure can be leveraged to better understand mechanisms of experience-driven plasticity17. Heightened plasticity during adolescence may amplify individual differences in neurodevelopment or mental health that emerge following experiences of stress in both positive and negative ways3, and latent effects of stress exposure that occurred earlier in life may also manifest most strongly during adolescence, relative to childhood or adulthood1820. Moreover, cross-species evidence demonstrates that stress exposure can alter the timing of sensitive periods themselves3, 17.

Fig. 2. Developmental stage and individual profile of early-life stress exposure and protective factors shape stress response and mental health in the context of a stressor.

Fig. 2

The general framework of developmental and individual differences in stress responding can be applied flexibly to many specifics of developmental timing and individual factors. Here we illustrate one example of variability in exposure to early-life stress and protective factors (e.g., supportive caregiving). For a given adolescent, developmental stage, early-life stress history, and protective factors contribute meaningful information about a probable response to a current stressor. On average, an adolescent with substantial early-life stress exposure and fewer protective factors will be at higher risk for psychopathology (top panel) than an adolescent with similarly high early-life stress exposure but more protective factors (bottom panel).

While sensitive periods associated with experience-expectant learning often occur earlier in development, recent evidence points to opportunities for reshaping of the hypothalamic-pituitary-adrenal axis during adolescence among individuals in supportive caregiving environments who previously experienced institutionalized care21 and to a potential adolescent sensitive period for social reward learning22. These findings may suggest that interventions focused on supportive relationships or rewarding interactions with peers could be especially effective during adolescence. Future research will be important for testing which timing-related effects of stress during development are consistent with experience-expectant versus experience-dependent learning17 and for further clinical translation.

Examining specific experiential elements and developmental timing of stress exposure can elucidate differences in neurodevelopment and mental health during adolescence, with the potential to inform when and for whom interventions will be most effective3, 14. Effectively parsing heterogeneity across development and individuals will require complementary approaches—such as experimental paradigms that can isolate specific dimensions or timing of stress exposure, as well as computational approaches that can identify patterns associated with naturalistic variation in stress exposure across the lifespan. To illustrate application of this approach, below we provide two examples of key domains in which novel insights from basic science could advance knowledge of stress responding and inform optimization of interventions for adolescents.

Reducing fear via safety signal learning

Building upon prior research that aims to enhance fear reduction beyond traditional extinction7, safety signal learning (a class of conditioned inhibition) may provide a promising approach to reduce excessive fear following stress during adolescence. In safety signal learning, a cue that is overly trained to signal the absence of threat is used to reduce fear in the face of a threatening cue. In contrast to extinction, where a previously threatening cue is presented repeatedly without the aversive outcome, this approach involves associating distinct environmental stimuli (i.e., safety signals) with the non-occurrence of aversive events23. While the neural mechanisms supporting safety signal learning continue to be explored, particularly during development, growing cross-species evidence suggests that this approach does not rely primarily on vmPFC-amygdala connections and instead involves a pathway between the hippocampus and dorsal anterior cingulate cortex (prelimbic cortex in rodents)24. Given evidence of protracted vmPFC-amygdala development and augmented hippocampal-prelimbic cortex connectivity during the adolescent period in rodents25, judicious application of safety signals to enhance fear reduction could be particularly useful during adolescence9. A variety of biological and environmental factors–such as current and prior exposure to trauma–are likely to contribute to individual differences in the extent to which adolescents benefit from safety learned via conditioned inhibition. Importantly, whereas stress disrupts extinction learning, recent evidence in rodents suggests that safety signals may be a robust approach to fear reduction even following stress—rodents exposed to prior stress showed impaired fear extinction, but no disruption in conditioned inhibition26. Moreover, evidence in rodents suggests that adolescence may be a unique period when conditioned inhibition is robust to effects of stress experienced in childhood27. These findings suggest that safety signal learning could target an alternative neural circuit to promote resilience beyond traditional extinction-based approaches during adolescence.

Promoting active coping via stressor controllability

Closer examination of the conditions in which resilience is prominent can provide clues for novel intervention targets. In contrast to traditional conceptualizations of stress as universally negative, stress that is controllable has been associated with more favorable outcomes across species. Rodent studies and studies in adult humans suggest that the experience of controllable stress (versus uncontrollable stress, or no stress at all) may buffer an individual against negative effects of that stressor, as well as subsequent stress exposure28. Stressor controllability—the extent to which an individual has the “ability to alter the onset, termination, duration, intensity, or pattern of a stressor”29—may be particularly relevant during adolescence when individuals experience increasing independence from caregivers and engage in greater exploration of broader environments. One possibility is that controllable stress fosters a more active mode of coping via modulation of frontostriatal-amygdala circuitry28. The state of this circuitry during adolescence, including heightened striatal activation and stronger amygdala projections to the ventral striatum11, may render adolescents more amenable to adaptive effects of controllability than children or adults14. Future research delineating factors that modulate an individual’s ability to detect or leverage opportunities for control, such as prior experiences and perceptions of control, may inform for which adolescents and under which conditions controllable stress is most likely to confer resilience.

Given salient psychosocial characteristics of adolescence and the unique state of frontostriatal-amygdala circuitry at this time, adolescents may benefit from novel interventions that leverage opportunities for control to promote motivated action, or from optimizing existing practices in cognitive-behavioral therapies that involve behavioral activation and active coping30. While the effects of controllable stress on later stress responding remain to be tested during human development, exposure to controllable stress during the adolescent period in rodents mitigated the negative effects of uncontrollable stress in adulthood31, suggesting that systematic exposure to controllable stress during adolescence could have long-term benefits for mental health in the face of future stress. Among adolescents with a prior history of early adversity, stressors outside of one’s control have been more closely linked with psychopathology than stressors at least partially influenced by the individual32. However, meta-analytic evidence of limited differentiation in mental health by stressor type33 suggests that future research warrants examination of key moderators that may relate to effects of stressor controllability (e.g., for which adolescents, or under which circumstances, is controllability related to risk for psychopathology?). Outside of the laboratory setting, stress that is controllable is more likely to be characterized by social and interpersonal elements, which are highly salient during adolescence34. Thus, opportunities to leverage control or to optimize interventions for adolescents may especially benefit from targeting experiences of social stress.

Conclusions

Adolescence is marked by heightened stress exposure, stress reactivity, and risk for psychopathology, as well as vast potential for resilience. Discoveries about the impacts of stress on the developing brain provide novel insights that can inform strategies to promote resilience and to enhance the efficacy of interventions for stress-related psychopathology during adolescence. Specifically, we propose that knowledge of developmental and individual differences in stress responding and related neural circuitry can guide efforts to target the unique state of the adolescent brain while tailoring optimization based on individual-level factors such as profiles of stress exposure. Guided by translation across species, this framework for leveraging the science of stress can promote mental health during and beyond the dynamic period of adolescence.

Acknowledgements

This work was supported by the National Science Foundation (NSF) CAREER Award (BCS-2145372), National Institutes of Health (NIH) Director’s Early Independence Award (DP5OD021370), Brain & Behavior Research Foundation (National Alliance for Research on Schizophrenia and Depression; NARSAD) Young Investigator Award, Jacobs Foundation Early Career Research Fellowship, and The Society for Clinical Child and Adolescent Psychology (Division 53 of the American Psychological Association) Richard “Dick” Abidin Early Career Award and Grant to D.G.G.; National Science Foundation (NSF) Graduate Research Fellowship Program awards to L.M.S. and E.M.C.; and The Society for Clinical Child and Adolescent Psychology (Division 53 of the American Psychological Association) Donald Routh Dissertation Grant, American Psychological Foundation Elizabeth Munsterberg Koppitz Child Psychology Graduate Fellowship, Dissertation Funding Award from the Society for Research in Child Development, and Dissertation Research Award from the American Psychological Association to E.M.C. We gratefully acknowledge Maggie Bryce for support with core concept illustrations.

Author contributions

D.G.G. wrote the first draft of the manuscript. L.M.S., E.M.C., and N.V.B. provided critical revision. N.V.B. developed the core concept illustrations.

Peer review

Peer review information

Nature Communications thanks Mark Wade and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Fuhrmann D, Knoll LJ, Blakemore S-J. Adolescence as a sensitive period of brain development. Trends Cogn. Sci. 2015;19:558–566. doi: 10.1016/j.tics.2015.07.008. [DOI] [PubMed] [Google Scholar]
  • 2.McLaughlin KA, et al. Childhood adversities and first onset of psychiatric disorders in a national sample of US adolescents. Arch. Gen. Psychiatry. 2012;69:1151–1160. doi: 10.1001/archgenpsychiatry.2011.2277. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Sisk LM, Gee DG. Stress and adolescence: vulnerability and opportunity during a sensitive window of development. Curr. Opin. Psychol. 2022;44:286–292. doi: 10.1016/j.copsyc.2021.10.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Gee DG. Early adversity and development: parsing heterogeneity and identifying pathways of risk and resilience. Am. J. Psychiatry. 2021;178:998–1013. doi: 10.1176/appi.ajp.2021.21090944. [DOI] [PubMed] [Google Scholar]
  • 5.Stephenson J. Surgeon general urges rapid, coordinated response to mental health crisis in US youth. JAMA Health Forum. 2021;2:e214995. doi: 10.1001/jamahealthforum.2021.4995. [DOI] [PubMed] [Google Scholar]
  • 6.Masten AS, Lucke CM, Nelson KM, Stallworthy IC. Resilience in development and psychopathology: multisystem perspectives. Annu. Rev. Clin. Psychol. 2021;17:521–549. doi: 10.1146/annurev-clinpsy-081219-120307. [DOI] [PubMed] [Google Scholar]
  • 7.Lee FS, et al. Mental health. Adolescent mental health-opportunity and obligation. Science. 2014;346:547–549. doi: 10.1126/science.1260497. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Kendall PC, Peterman JS. CBT for adolescents with anxiety: mature yet still developing. Am. J. Psychiatry. 2015;172:519–530. doi: 10.1176/appi.ajp.2015.14081061. [DOI] [PubMed] [Google Scholar]
  • 9.Odriozola P, Gee DG. Learning about safety: conditioned inhibition as a novel approach to fear reduction targeting the developing brain. Am. J. Psychiatry. 2021;178:136–155. doi: 10.1176/appi.ajp.2020.20020232. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Pattwell SS, et al. Altered fear learning across development in both mouse and human. Proc. Natl Acad. Sci. USA. 2012;109:16318–16323. doi: 10.1073/pnas.1206834109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Casey BJ, Galván A, Somerville LH. Beyond simple models of adolescence to an integrated circuit-based account: a commentary. Dev. Cogn. Neurosci. 2016;17:128–130. doi: 10.1016/j.dcn.2015.12.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Gee DG, et al. Early developmental emergence of human amygdala-prefrontal connectivity after maternal deprivation. Proc. Natl Acad. Sci. USA. 2013;110:15638–15643. doi: 10.1073/pnas.1307893110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Luby JL, Baram TZ, Rogers CE, Barch DM. Neurodevelopmental optimization after early-life adversity: cross-species studies to elucidate sensitive periods and brain mechanisms to inform early intervention. Trends Neurosci. 2020;43:744–751. doi: 10.1016/j.tins.2020.08.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Cohodes EM, Kitt ER, Baskin-Sommers A, Gee DG. Influences of early-life stress on frontolimbic circuitry: harnessing a dimensional approach to elucidate the effects of heterogeneity in stress exposure. Dev. Psychobiol. 2021;63:153–172. doi: 10.1002/dev.21969. [DOI] [PubMed] [Google Scholar]
  • 15.McLaughlin KA, Sheridan MA, Humphreys KL, Belsky J, Ellis BJ. The value of dimensional models of early experience: thinking clearly about concepts and categories. Perspect. Psychol. Sci. 2021;16:1463–1472. doi: 10.1177/1745691621992346. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Hong S-J, et al. Decomposing complex links between the childhood environment and brain structure in school-aged youth. Dev. Cogn. Neurosci. 2021;48:100919. doi: 10.1016/j.dcn.2021.100919. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.McLaughlin KA, Gabard-Durnam L. Experience-driven plasticity and the emergence of psychopathology: a mechanistic framework integrating development and the environment into the Research Domain Criteria (RDoC) model. J. Psychopathol. Clin. Sci. 2022;131:575–587. doi: 10.1037/abn0000598. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Andersen SL, Teicher MH. Stress, sensitive periods and maturational events in adolescent depression. Trends Neurosci. 2008;31:183–191. doi: 10.1016/j.tins.2008.01.004. [DOI] [PubMed] [Google Scholar]
  • 19.Teicher MH, Samson JA, Polcari A, Andersen SL. Length of time between onset of childhood sexual abuse and emergence of depression in a young adult sample: a retrospective clinical report. J. Clin. Psychiatry. 2009;70:684–691. doi: 10.4088/JCP.08m04235. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Mukerji CE, Wade M, Fox NA, Zeanah CH, Nelson CA. Growth in self-regulation over the course of adolescence mediates the effects of foster care on psychopathology in post-institutionalized children: a randomized clinical trial. Clin. Psychol. Sci. 2021;9:810–822. doi: 10.1177/2167702621993887. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.DePasquale CE, Donzella B, Gunnar MR. Pubertal recalibration of cortisol reactivity following early life stress: a cross-sectional analysis. J. Child Psychol. Psychiatry. 2019;60:566–575. doi: 10.1111/jcpp.12992. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Nardou R, et al. Oxytocin-dependent reopening of a social reward learning critical period with MDMA. Nature. 2019;569:116–120. doi: 10.1038/s41586-019-1075-9. [DOI] [PubMed] [Google Scholar]
  • 23.Christianson JP, et al. Inhibition of fear by learned safety signals: a mini-symposium review. J. Neurosci. 2012;32:14118–14124. doi: 10.1523/JNEUROSCI.3340-12.2012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Meyer HC, et al. Ventral hippocampus interacts with prelimbic cortex during inhibition of threat response via learned safety in both mice and humans. Proc. Natl Acad. Sci. USA. 2019;116:26970–26979. doi: 10.1073/pnas.1910481116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Pattwell SS, et al. Dynamic changes in neural circuitry during adolescence are associated with persistent attenuation of fear memories. Nat. Commun. 2016;7:11475. doi: 10.1038/ncomms11475. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Woon EP, Seibert TA, Urbanczyk PJ, Ng KH, Sangha S. Differential effects of prior stress on conditioned inhibition of fear and fear extinction. Behav. Brain Res. 2020;381:112414. doi: 10.1016/j.bbr.2019.112414. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Meyer HC, Gerhard DM, Amelio PA, Lee FS. Pre-adolescent stress disrupts adult, but not adolescent, safety learning. Behav. Brain Res. 2021;400:113005. doi: 10.1016/j.bbr.2020.113005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Moscarello JM, Hartley CA. Agency and the calibration of motivated behavior. Trends Cogn. Sci. 2017;21:725–735. doi: 10.1016/j.tics.2017.06.008. [DOI] [PubMed] [Google Scholar]
  • 29.Maier SF, Watkins LR. Role of the medial prefrontal cortex in coping and resilience. Brain Res. 2010;1355:52–60. doi: 10.1016/j.brainres.2010.08.039. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.LeDoux JE, Gorman JM. A call to action: overcoming anxiety through active coping. Am. J. Psychiatry. 2001;158:1953–1955. doi: 10.1176/appi.ajp.158.12.1953. [DOI] [PubMed] [Google Scholar]
  • 31.Kubala KH, Christianson JP, Kaufman RD, Watkins LR, Maier SF. Short-and long-term consequences of stressor controllability in adolescent rats. Behavioural Brain Res. 2012;234:278–284. doi: 10.1016/j.bbr.2012.06.027. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Wade M, et al. Stress sensitization among severely neglected children and protection by social enrichment. Nat. Commun. 2019;10:5771. doi: 10.1038/s41467-019-13622-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.March-Llanes J, Marqués-Feixa L, Mezquita L, Fañanás L, Moya-Higueras J. Stressful life events during adolescence and risk for externalizing and internalizing psychopathology: a meta-analysis. Eur. Child Adolesc. Psychiatry. 2017;26:1409–1422. doi: 10.1007/s00787-017-0996-9. [DOI] [PubMed] [Google Scholar]
  • 34.Somerville LH. The teenage brain: sensitivity to social evaluation. Curr. Dir. Psychol. Sci. 2013;22:121–127. doi: 10.1177/0963721413476512. [DOI] [PMC free article] [PubMed] [Google Scholar]

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