Understanding how anxiety and depression affect decision-making
Elucidating the relationship between decision-making under second-order uncertainty and dimensions of negative affect using computational modeling
This study is looking at how people with anxiety and depression make choices, especially when things are uncertain, to see if their decision-making struggles are similar or different, with the goal of finding better ways to support them in everyday life.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California Berkeley NIH-funded |
| Lab location | 1 site (Berkeley, United States) |
| Project ID | NIH-11035214 on NIH RePORTER |
What this research studies
This research investigates how individuals with anxiety and depression make decisions, particularly under uncertain conditions. By using computational modeling, the study aims to identify whether the decision-making difficulties faced by these individuals are similar or unique to each condition. The researchers will analyze responses from anxiety and depression questionnaires to explore the relationship between these mental health issues and decision-making processes. This approach seeks to improve our understanding of how to better support individuals facing these challenges in their daily lives.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals diagnosed with anxiety disorders or depression, particularly those experiencing decision-making difficulties.
Not a fit: Patients without anxiety or depression, or those who do not experience decision-making challenges, may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved interventions for individuals with anxiety and depression, enhancing their decision-making abilities.
How similar studies have performed: Previous research has shown promising results in understanding decision-making in anxiety and depression, but this study aims to explore a novel approach by focusing on second-order uncertainty.
Where this research is happening
Berkeley, United States
- University of California Berkeley — Berkeley, United States (Active)
Researchers
- Principal investigator: Bishop, Sonia Jane — University of California Berkeley
- Study coordinator: Bishop, Sonia Jane
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 below.