Better Ways to Understand Brain Scans for Alzheimer's Disease
Statistical Methods for Integrative Analysis of Large Scale Neuroimaging Data
This work creates new computer tools to help doctors find early signs of Alzheimer's disease using information from many different brain scans.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Univ of North Carolina Chapel Hill NIH-funded |
| Lab location | 1 site (Chapel Hill, United States) |
| Project ID | NIH-11129698 on NIH RePORTER |
What this research studies
Doctors often use various brain imaging techniques to look for early signs of Alzheimer's disease, but combining all this complex information can be challenging. This project aims to build advanced statistical methods and computer programs that can effectively bring together different types of brain scan data from many patients. By doing so, we hope to improve how we identify important markers in these images, even when some information is missing or varies between individuals. This will help us get a clearer picture of the disease's progression and make earlier diagnoses possible.
Who could benefit from this research
Good fit: This research focuses on improving methods for analyzing existing neuroimaging data from patients with Alzheimer's disease or those at risk.
Not a fit: Patients not undergoing neuroimaging for Alzheimer's disease or related conditions would not directly benefit from this specific methodological improvement.
Why it matters
Potential benefit: If successful, this work could lead to more accurate and earlier diagnosis of Alzheimer's disease by improving how doctors interpret complex brain imaging data.
How similar studies have performed: While the need for better integrative analysis is recognized, this project proposes novel statistical models and computational tools to address current limitations in handling complex neuroimaging data.
Where this research is happening
Chapel Hill, United States
- Univ of North Carolina Chapel Hill — Chapel Hill, United States (Active)
Researchers
- Principal investigator: Li, Quefeng — Univ of North Carolina Chapel Hill
- Study coordinator: Li, Quefeng
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.