Investigating how evidence accumulation affects cognitive control and mental health.
Official title: Efficiency of evidence accumulation (EEA) as a higher-order, computationally defined RDoc construct
Funded at University of Michigan at Ann Arbor · NIH-10824311 · Data updated 2026-11-12
This study is looking at how we gather information to make decisions and how this affects our attention and memory, with the hope of finding better ways to diagnose and treat mental health conditions.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Michigan at Ann Arbor NIH-funded |
| Lab location | 1 site (Ann Arbor, United States) |
| Project start | April 15, 2023 |
| Project end | March 31, 2026 |
| Funding year | 2024 |
| Award (this year) | $195,000 |
| NIH project number | 5R21MH130939-02 |
| Project ID | NIH-10824311 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals experiencing cognitive control issues or mental health disorders such as anxiety, depression, or attention-related conditions.
✕Less likely to help
Patients with well-defined cognitive impairments unrelated to evidence accumulation may not benefit from this research.
What this research studies
This research explores the concept of evidence accumulation, which is a cognitive process that helps individuals make decisions based on available information. By examining how this process relates to cognitive control, attention, and working memory, the study aims to provide a clearer understanding of mental health disorders. The researchers will utilize computational modeling and neurophysiological analysis to assess the efficiency of evidence accumulation and its implications for psychiatric conditions. Patients may benefit from insights that could lead to improved diagnostic and treatment strategies for mental health issues.
Why it matters
Potential benefit: If successful, this research could lead to better understanding and treatment options for individuals with mental health disorders.
How similar studies have gone: Previous research has shown promise in using computational models to understand cognitive processes, suggesting that this approach may yield valuable insights.
Where this research is happening
-
University of Michigan at Ann Arbor
Ann Arbor, United States Active
Researchers
- Principal investigator: Weigard, Alexander — University of Michigan at Ann Arbor
- Study coordinator: Weigard, Alexander
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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.