Predicting therapy outcomes for anxiety and depression
Official title: An Approach-Avoidance, Computational Framework for Predicting Behavioral Therapy Outcome in Anxiety and Depression
Funded at Laureate Institute for Brain Research · NIH-10886756 · Data updated 2026-11-12
This study is looking at how different types of therapy can help people who are dealing with both anxiety and depression, and it will help figure out which therapy works best for you based on how you respond to different situations.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Laureate Institute for Brain Research NIH-funded |
| Lab location | 1 site (Tulsa, United States) |
| Project start | July 1, 2020 |
| Project end | June 30, 2026 |
| Funding year | 2024 |
| Award (this year) | $465,943 |
| NIH project number | 5R01MH123691-05 |
| Project ID | NIH-10886756 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates are individuals experiencing both anxiety and depression symptoms who are seeking therapeutic intervention.
✕Less likely to help
Patients who do not have symptoms of anxiety or depression may not benefit from this research.
What this research studies
This research investigates how different behavioral therapies can help individuals with anxiety and depression by using a computational framework to predict outcomes. Participants will be recruited who experience both anxiety and depression symptoms and will be randomly assigned to one of three therapy types: behavioral activation, exposure-based therapy, or supportive therapy. The goal is to understand which therapy is most effective based on individual responses to approach and avoidance behaviors. By analyzing neural and behavioral responses, the research aims to improve treatment strategies for these common mental health conditions.
Why it matters
Potential benefit: If successful, this research could lead to more personalized and effective treatment options for patients suffering from anxiety and depression.
How similar studies have gone: Previous research has shown promise in using behavioral therapies for anxiety and depression, but this approach of integrating computational predictions is relatively novel.
Where this research is happening
-
Laureate Institute for Brain Research
Tulsa, United States Active
Researchers
- Principal investigator: Aupperle, Robin L — Laureate Institute for Brain Research
- Study coordinator: Aupperle, Robin L
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.