Using Brain Imaging to Predict Success with Anxiety Management Apps

Recent research indicates that brain imaging can help identify individuals who are most likely to benefit from digital anxiety interventions. A new analysis from a clinical trial led by Weill Cornell Medicine and NewYork-Presbyterian reveals that variations in brain connectivity, particularly in regions involved in emotion regulation and response to anxiety-provoking stimuli, can predict how well young adults will respond to a self-guided anxiety management app called Maya.

The study focused on young adults aged 18 to 25 dealing with anxiety. Participants underwent brain MRI scans before using the Maya app, which is based on cognitive behavioral therapy principles. The app offers interactive modules, videos, exercises, and educational content designed to teach users skills to manage anxiety and alter their thought patterns.

Initial clinical trial results showed that many participants experienced a reduction in anxiety symptoms after six weeks of app use, with some maintaining these benefits even after discontinuation. Building on this, the new analysis demonstrated that those with weaker neural connections between brain areas responsible for attending to and regulating emotional responses were more likely to experience significant improvement.

These findings suggest that the brain’s functional patterns, particularly less efficient regulation in certain networks, may make individuals more receptive to app-based interventions. Conversely, participants with stronger connectivity in circuits related to heightened attention to threats were less likely to benefit.

Dr. Faith Gunning, senior author and associate professor of psychology at Weill Cornell, explained that cognitive behavioral therapy helps individuals learn to better control their emotional responses, which aligns with why those with specific brain patterns respond more favorably.

The Maya app was developed to bridge gaps in mental health care access, especially among young adults who often face barriers such as stigma, cost, or limited healthcare coverage. Participants used the app twice weekly for six weeks, and outcomes were monitored over 12 weeks. Overall, users showed sustained anxiety reduction, indicating its potential as a scalable treatment option.

This research highlights the potential of combining neuroimaging with digital therapy approaches to personalize mental health treatment, ultimately allowing clinicians to recommend the most effective interventions based on individual brain profiles. Such advancements could enhance early intervention strategies and improve outcomes for young adults struggling with anxiety.