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New Brain Scan Method Predicts Teen Anxiety Risks Effectively

New Brain Scan Method Predicts Teen Anxiety Risks Effectively
Editorial
  • PublishedDecember 12, 2025

Research conducted by scientists at the USC Dornsife College of Letters, Arts and Sciences has unveiled a promising method for predicting anxiety in teenagers. The study, published in JAMA Network Open, indicates that utilizing two different brain scan techniques can significantly enhance the accuracy of forecasts about which adolescents may develop anxiety as they mature.

The study’s findings shed light on the complex relationship between early temperament and brain development, providing insights that could lead to earlier identification of at-risk youths. The research involved participants from a long-term study funded by the National Institute of Mental Health, tracking individuals from infancy through adolescence to observe how early personality traits influence mental health outcomes.

Many participants were identified as having a “fearful temperament,” characterized by shyness and caution in unfamiliar situations. While such traits are known to increase the likelihood of anxiety later in life, not all children with this temperament develop anxiety disorders. Lead author Emilio Valadez, an assistant professor of psychology at USC Dornsife, emphasized the need to understand the discrepancies in anxiety development among children with similar traits.

Innovative Brain Imaging Techniques

To discern the underlying factors contributing to anxiety, researchers asked teenagers to engage in a computer task designed to elicit minor mistakes, such as pressing the wrong button during a quick series of prompts. While performing this task, the teens’ brain activity was monitored using two advanced imaging techniques: electroencephalography (EEG) and functional magnetic resonance imaging (fMRI).

EEG captures temporal changes in brain activity, while fMRI provides detailed spatial mapping of brain regions. By combining these two methods, researchers developed a novel “EEG-fMRI fusion” technique, which offers a more comprehensive understanding of how the adolescent brain reacts to mistakes. Valadez likened this integration to using both eyes for better depth perception, resulting in a clearer picture of brain activity.

The research team conducted scans at ages 13 and 15, analyzing how the brain’s responses evolve during this critical developmental period. The combined data from both imaging techniques yielded remarkable results. The fused analysis accounted for approximately 25% of the variability in anxiety changes between these ages, a substantial increase compared to predictions based solely on early temperament, age, gender, and initial anxiety levels.

Implications for Early Intervention

The results indicate that specific brain regions are associated with varying anxiety levels in adolescents. For example, heightened activity in the dorsal anterior cingulate cortex, which plays a role in error detection and threat assessment, correlated with increased anxiety in teens identified as very shy or cautious during early childhood. Conversely, growth in activity within the posterior cingulate cortex appeared to serve as a protective factor, with more active teens in this area experiencing lower anxiety levels.

These findings suggest a potential pathway for identifying which adolescents might be at risk for anxiety disorders before symptoms manifest fully. Valadez noted that while the study does not provide immediate practical applications for families, it represents a significant step towards early prediction of anxiety risks, potentially leading to timely and tailored interventions.

The research highlights the importance of using diverse imaging techniques to gain a holistic view of brain function and its impact on mental health. Valadez stated, “No single tool can tell the whole story. When we integrate data across methods, we can get a more complete understanding of how the brain supports mental health.”

Future studies aim to explore whether similar predictive models can be applied even earlier in child development, potentially starting at ages 8 or 9. Researchers will also examine other cognitive functions, such as memory and attention, to further clarify their roles in anxiety risk.

Valadez concluded with a hopeful vision: “The ultimate goal is to read the brain’s story early enough to know which kids might need extra support, and to give them that support before anxiety becomes a lifelong struggle.” This pioneering research not only enhances our understanding of adolescent mental health but also opens avenues for more effective preventative strategies.

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