Enhancing the understanding of brain connections and their impact on behavior
Official title: Improving statistical power for human structural and functional connectomes
Funded at Yale University · NIH-10903006 · Data updated 2026-11-12
This study is looking at ways to make brain scans more reliable so we can better understand how brain connections affect behavior, which could help improve mental health treatments for people like you.
Quick facts
| Grant type | Fellowship grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Yale University NIH-funded |
| Lab location | 1 site (New Haven, United States) |
| Project start | September 1, 2024 |
| Project end | August 31, 2026 |
| Funding year | 2024 |
| Award (this year) | $42,146 |
| NIH project number | 1F31MH136823-01 |
| Project ID | NIH-10903006 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals interested in understanding brain-behavior relationships, particularly those at risk for mental health conditions.
✕Less likely to help
Patients who do not have any interest in or relevance to brain-behavior relationships may not benefit from this research.
What this research studies
This research focuses on improving the statistical power of neuroimaging studies that explore the connections within the brain and how they relate to behavior. By addressing issues like low signal-to-noise ratios and small sample sizes, the project aims to enhance the reliability of findings in brain-behavior relationships. The researchers will investigate whether using networks derived from the same dataset can provide better insights than using independent networks, potentially leading to more accurate predictions of mental health risks and personalized treatment options.
Why it matters
Potential benefit: If successful, this research could lead to more reliable predictions of mental health conditions and improved personalized treatment strategies for patients.
How similar studies have gone: Previous research has shown promise in enhancing statistical power through network-based approaches in neuroimaging, indicating that this methodology could yield significant advancements.
Where this research is happening
-
Yale University
New Haven, United States Active
Researchers
- Principal investigator: Rodriguez, Raimundo Xavier — Yale University
- Study coordinator: Rodriguez, Raimundo Xavier
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.