The Effect of Visual Stressors on Adolescents’ Neural Response: A Review of Laboratory Research
Laboratory models that help us understand the neural mechanisms associated with how stress, particularly interpersonal stress, affects children’s and adolescents’ emotions are paramount but are limited if that understanding lacks validity in adolescents’ daily lives. There is a lack of research that addresses the ecological validity of visual stimuli to induce stress in participants while measuring participants’ neural response to that stimuli. This approach is needed if we are to identify the neural mechanisms that underlie the effect of stressful events on individuals’ emotional functioning. The current study conducted a systematic literature review to identify visual tasks that have been used in laboratory settings to induce stress in participants. The most frequent tasks identified were developed to induce peer rejection/exclusion in youth (e.g., Chatroom and Cyberball). These tasks were generally effective at bringing about a neural response in areas of the brain traditionally associated with social cognitive processing, such as the cingulate cortex, prefrontal cortex, insula, and striatum. In particular, the cingulate cortex and prefrontal cortex are associated with the Social Information Processing Network. Almost entirely absent from the literature are systematic evaluations of ecological validity and parent–child based visual stimuli that approximate the stress that adolescents might experience in their relationships with parents. The present article highlights trends and gaps in the current research, and examines the ecological validity of current stimuli used as laboratory based stressors, which can be used to fuel further investigation into adolescent neural response to stimuli, and further evaluation of the ecological validity of tasks.
KeywordsEmotions Ecological Validity Neural Response Stress Visual Stimuli
Support for this project was provided by the Institutional Development Award (IDeA) Network for Biomedical Research Excellence from the National Institute of General Medical Sciences of the National Institutes of Health under grant number P20GM103430.
ECC conceived of the study, OD, DP, KW, and AC assisted in the finding of articles, and OD, DP, KW, and AC assisted in the initial write up of the entire article. ECC and OD continued to make edits and revise the article, until its submission. All authors have read and approved of the final submission of this article.
Compliance with Ethical Standards
Conflict of interest
The authors report no conflicts of interest.
- Breedlove, S. M., & Watson, N. V. (2017). Chapter 15, Emotions, Aggression, and Stress. In Behavioral neuroscience (8th edn.). S.l.: Oxford University Press, Oxford.Google Scholar
- Calvo, M. G., & Gutierrez-Garcia, A. (2016). Cognition and stress. In Stress: Concepts, Cognition, Emotion, and Behavior (pp. 139–144).Google Scholar
- Chester, D. S., Eisenberger, N. I., Pond, R. S., Richman, S. B., Bushman, B. J., & DeWall, C. N. (2013). The interactive effect of social pain and executive functioning on aggression: an fMRI experiment. Social Cognitive and Affective Neuroscience, 9(5), 699–704.PubMedPubMedCentralCrossRefGoogle Scholar
- Everly, G. S. Jr., & Lating, J. M. (2012). A clinical guide to the treatment of the human stress response. Springer Science & Business Media.Google Scholar
- Klimes-Dougan, B., Hastings, P. D., Granger, D. A., Usher, B. A., & Zahn-Waxler, C. (2001). Adrenocortical activity in at-risk and normally developing adolescents: Individual differences in salivary cortisol basal levels, diurnal variation, and responses to social challenges. Development and Psychopathology, 13(3), 695–719.PubMedCrossRefGoogle Scholar
- Maruyama, Y., Kawano, A., Okamoto, S., Ando, T., Ishitobi, Y., Tanaka, Y., Inoue, A., Imanaga, J., Kanehisa, M., Higuma, H., Ninomiva, J., Tsuru, J., Hanada, H., & Akiyoshi, J. (2012). Differences in salivary alpha-amylase and cortisol responsiveness following exposure to electrical stimulation versus the Trier Social Stress Tests. PLoS One, 7(7), 1–10.CrossRefGoogle Scholar
- Masten, A. S., Cutuli, J. J., Herbers, J. E., & Reed, M. G. J. (2012). Resilience in Development. In The Oxford Handbook of Positive Psychology, (2 Ed.) Oxford University Press. https://doi.org/10.1093/oxfordhb/9780195187243.013.0012.
- Masten, C. L., Eisenberger, N. I., Borofsky, L. A., Pfeifer, J. H., McNealy, K., Mazziotta, J. C., & Dapretto, M. (2009). Neural correlates of social exclusion during adolescence: understanding the distress of peer rejection. Social Cognitive and Affective Neuroscience, 4(2), 143–157.PubMedPubMedCentralCrossRefGoogle Scholar
- Noble, K. G., Houston, S. M., Brito, N. H., Bartsch, H., Kan, E., Kuperman, J. M., Akshoomoff, N., Amaral, D. G., Bloss, C. S., Libiger, O., Schork, N. J., Murray, S. S., Casey, B. J., Chang, L., Ernst, T. M., Frazier, J. A., Gruen, J. R., Kennedy, D. N., Can Zijl, P., Mostofsky, S., Kaufmann, W. E., Kenet, T., Dale, A. M., Jernigan, T. L., & Sowell, E. R. (2015). Family income, parental education and brain structure in children and adolescents. Nature Neuroscience, 18(5), 773–778.PubMedPubMedCentralCrossRefGoogle Scholar
- Reis, H. T., & Judd, C. M. (2000). Handbook of research methods in social and personality psychology. Cambridge University Press.Google Scholar
- Robles, T. F., Shetty, V., Zigler, C. M., Glover, D. A., Elashoff, D., Murphy, D., & Yamaguchi, M. (2011). The feasibility of ambulatory biosensor measurement of salivary alpha amylase: relationships with self-reported and naturalistic psychological stress. Biological Psychology, 86(1), 50–56.PubMedCrossRefGoogle Scholar
- Romeo, R. D., & Karatsoreos, I. N. (2011). Adolescence and Stress. The Handbook of Stress: Neuropsychological Effects on the Brain, 267–284.Google Scholar
- Silk, J. S., Stroud, L. R., Siegle, G. J., Dahl, R. E., Lee, K. H., & Nelson, E. E. (2012). Peer acceptance and rejection through the eyes of youth: pupillary, eyetracking and ecological data from the Chatroom Interact task. Social Cognitive and Affective Neuroscience, 7(1), 93–105.PubMedCrossRefGoogle Scholar
- Spear, P. L. (2010). The Behavioral Neuroscience of Adolescence. W.W.Norton & Company. New York:NY.Google Scholar
- Tan, P. Z., Lee, K. H., Dahl, R. E., Nelson, E. E., Stroud, L. J., Siegle, G. J., Morgan, J. K., & Silk, J. S. (2014). Associations between maternal negative affect and adolescent’s neural response to peer evaluation. Developmental Cognitive Neuroscience, 8, 28–39.PubMedPubMedCentralCrossRefGoogle Scholar
- Whittle, S., Yücel, M., Forbes, E. E., Davey, C. G., Harding, I. H., Sheeber, L., Yap, M. B. H., & Allen, N. B. (2012). Adolescents’ depressive symptoms moderate neural responses to their mothers’ positive behavior. Social Cognitive and Affective Neuroscience, 7(1), 23–34.PubMedCrossRefGoogle Scholar