Introduction
This essay proposes a new neuroimaging experiment using functional magnetic resonance imaging (fMRI) to explore the neural mechanisms of emotion regulation in adolescents with anxiety disorders. Building on prior research that has primarily focused on adults, this study aims to address a gap in understanding how these processes function during a critical developmental period. The rationale stems from the high prevalence of anxiety in adolescence, which can persist into adulthood if untreated (Beesdo et al., 2009). By adapting established experimental designs to this younger population, the experiment will use fMRI to measure brain activity during emotion regulation tasks, elucidating links between brain function, structure, and behavioural outcomes. This proposal includes a background of prior research, an overview of fMRI methodology, its advantages and limitations, and a brief outline of the planned experiment. The focus is on incremental science, extending adult-centric studies to adolescents to inform targeted interventions.
Background of Prior Research
Anxiety disorders are among the most common mental health issues, affecting approximately 31% of adolescents globally (Polanczyk et al., 2015). Research has consistently shown that difficulties in emotion regulation— the ability to modulate emotional responses— play a central role in anxiety pathology. Neuroimaging studies in adults have identified key brain regions involved, such as the prefrontal cortex (PFC) and amygdala, which interact to regulate fear and anxiety responses (Etkin et al., 2015). However, these findings are largely derived from adult populations, leaving a gap in knowledge about adolescent brains, which undergo significant structural and functional changes during puberty (Blakemore, 2012).
One seminal study by Goldin et al. (2008) used fMRI to examine emotion regulation in adults with social anxiety disorder. Participants viewed negative social scenes and were instructed to either reappraise them cognitively or react naturally. The results revealed increased PFC activation during reappraisal, which correlated with reduced amygdala activity and lower self-reported anxiety. This demonstrated fMRI’s utility in linking cognitive strategies to neural function, but the study was limited to adults, with no consideration of developmental factors.
Extending this, Ochsner et al. (2004) investigated healthy adults using a similar reappraisal paradigm, finding that successful emotion regulation involved dorsolateral PFC engagement to downregulate amygdala responses. Their work highlighted individual differences in regulation efficacy, influenced by factors like age and experience, yet it did not address adolescents, where PFC maturation is incomplete (Blakemore, 2012). A more recent primary study by Silvers et al. (2015) bridged this somewhat by including adolescents in an fMRI emotion regulation task. They observed that while adolescents could regulate emotions behaviourally, their neural patterns showed less efficient PFC-amygdala connectivity compared to adults, suggesting developmental immaturity. However, this study focused on healthy participants, not those with clinical anxiety, limiting its applicability to disordered populations.
These studies collectively underscore the importance of emotion regulation in anxiety but reveal a research gap: the lack of fMRI investigations in anxious adolescents. Polanczyk et al. (2015) note that adolescence is a peak onset period for anxiety, with neural plasticity offering a window for intervention. Proposing an experiment that applies Goldin et al.’s (2008) paradigm to anxious adolescents would fill this gap, potentially revealing how immature brain structures contribute to persistent anxiety. This is relevant to psychology, as it links neural function to behavioural outcomes, informing therapies like cognitive behavioural therapy (CBT) tailored for youth.
Critically evaluating these sources, Goldin et al. (2008) and Ochsner et al. (2004) employed robust, peer-reviewed methods with controlled tasks and statistical corrections for multiple comparisons, enhancing reliability. Silvers et al. (2015) added developmental insight but had a small sample size (n=30 adolescents), potentially limiting generalisability. Nonetheless, their findings are valid within healthy cohorts, supporting the need for clinical extensions.
Overview of Functional MRI Methodology
Functional MRI is a non-invasive neuroimaging technique that measures brain activity by detecting changes in blood oxygenation levels, known as the blood-oxygen-level-dependent (BOLD) signal (Glover, 2011). It provides high spatial resolution, typically 1-3 mm, allowing precise localisation of activity in regions like the PFC and amygdala. In the proposed experiment, fMRI would elucidate underlying neural function by capturing real-time BOLD responses during emotion regulation tasks, revealing how adolescents with anxiety recruit brain networks differently from adults.
A key source, Glover (2011), explains that fMRI relies on the haemodynamic response function, where neural activity increases local blood flow, detectable via magnetic field changes. This makes it ideal for studying dynamic processes like emotion regulation, as tasks can be timed to correlate with BOLD fluctuations.
Advantages of fMRI include its excellent spatial resolution, enabling detailed mapping of brain structures and functions without radiation exposure, unlike PET (Glover, 2011). It is suitable for adolescents, as scanners can accommodate younger participants with appropriate adaptations, such as shorter scan times to reduce motion artefacts (Etkin et al., 2015). Furthermore, fMRI can answer the research question— “How do neural correlates of emotion regulation differ in adolescents with anxiety compared to healthy controls?”— by quantifying activation patterns and connectivity, providing insights into structural-functional relationships.
However, disadvantages must be considered. fMRI has poor temporal resolution (around 2 seconds), which may miss rapid neural events, though this is less critical for emotion regulation tasks spanning several seconds (Glover, 2011). It is susceptible to motion artefacts, particularly in adolescents who may fidget, potentially reducing data quality; mitigation strategies like head restraints are essential (Silvers et al., 2015). The technique requires participants to lie still in a noisy, confined scanner, which could exacerbate anxiety symptoms, raising ethical concerns for this population. Despite these limitations, fMRI is arguably the best method for this gap, offering superior spatial detail over alternatives like EEG, which lack localisation precision (Blakemore, 2012). Indeed, while MEG provides better timing, fMRI’s ability to image deep structures like the amygdala justifies its use here.
Planned Experiment Overview
The proposed experiment adapts the reappraisal paradigm from Goldin et al. (2008) to adolescents aged 13-17 with generalised anxiety disorder (GAD), diagnosed via DSM-5 criteria. A control group of age-matched healthy adolescents will be included for comparison. The research question is: “What are the neural correlates of emotion regulation in adolescents with anxiety, and how do they differ from healthy peers?”
Participants (n=40 per group) will undergo fMRI scanning while viewing negative emotional images (e.g., fearful faces) from standardised databases. In reappraisal trials, they will be cued to reinterpret the image positively (e.g., “The person is acting in a play”); in react trials, they respond naturally. Behavioural ratings of anxiety will be collected post-trial. Data analysis will involve general linear modelling to identify BOLD activations in PFC and amygdala, with functional connectivity analyses to assess network interactions.
This design extends prior work by applying it to a clinical adolescent sample, addressing the gap identified in Silvers et al. (2015). It is important because early identification of neural markers could guide interventions, reducing long-term anxiety burden (Polanczyk et al., 2015). fMRI is optimal here, as it can directly link behavioural regulation to brain function in a population where structural changes are ongoing, despite limitations like scanner intolerance.
Conclusion
In summary, this proposal builds on established fMRI research (e.g., Goldin et al., 2008; Ochsner et al., 2004; Silvers et al., 2015) to investigate emotion regulation in anxious adolescents, filling a developmental gap. fMRI’s strengths in spatial resolution outweigh its temporal and practical limitations, making it suitable for this population and question. The experiment could enhance psychological understanding of anxiety, informing targeted therapies. Future workshops could refine aspects like sample size or ethical protocols, advancing incremental neuroscience. Ultimately, this underscores fMRI’s role in bridging brain structure, function, and behaviour.
(Word count: 1,248 excluding references; 1,512 including references)
References
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- Blakemore, S.J. (2012) Imaging brain development: The adolescent brain. NeuroImage, 61(2), pp.397-406.
- Etkin, A., Büchel, C. and Gross, J.J. (2015) The neural bases of emotion regulation. Nature Reviews Neuroscience, 16(11), pp.693-700.
- Glover, G.H. (2011) Overview of functional magnetic resonance imaging. Neurosurgery Clinics of North America, 22(2), pp.133-139.
- Goldin, P.R., McRae, K., Ramel, W. and Gross, J.J. (2008) The neural bases of emotion regulation: Reappraisal and suppression of negative emotion. Biological Psychiatry, 63(6), pp.577-586.
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- Polanczyk, G.V., Salum, G.A., Sugaya, L.S., Caye, A. and Rohde, L.A. (2015) Annual research review: A meta-analysis of the worldwide prevalence of mental disorders in children and adolescents. Journal of Child Psychology and Psychiatry, 56(3), pp.345-365.
- Silvers, J.A., Insel, C., Powers, A., Franz, P., Helion, C., Martin, R.E., Weber, J., Mischel, W., Casey, B.J. and Ochsner, K.N. (2015) vlPFC-vmPFC-amygdala interactions underlie age-related differences in cognitive regulation of emotion. Cerebral Cortex, 27(7), pp.3502-3514.

