Understanding Alzheimer's Disease through Brain Scans and Genetics
Genetics of deep-learning-derived neuroimaging endophenotypes for Alzheimer's Disease
This project uses advanced computer analysis of brain scans and genetic information to better understand Alzheimer's disease in older adults.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Texas Hlth Sci Ctr Houston NIH-funded |
| Lab location | 1 site (Houston, United States) |
| Project ID | NIH-11167727 on NIH RePORTER |
What this research studies
Alzheimer's disease significantly impacts memory and thinking in older adults, and we still have much to learn about its causes. This project uses advanced computer methods, called deep learning, to look closely at brain images from people with Alzheimer's. By combining these detailed brain scan insights with genetic information, researchers hope to find new ways to identify the disease earlier and understand who might be at risk. This approach could help us uncover hidden patterns in the brain and our genes that contribute to Alzheimer's.
Who could benefit from this research
Good fit: This research is relevant for older adults, particularly those aged 65 and over, who are affected by or at risk for Alzheimer's disease.
Not a fit: Patients not affected by Alzheimer's disease or related cognitive impairments would not directly benefit from this specific research.
Why it matters
Potential benefit: If successful, this work could lead to earlier and more accurate ways to detect Alzheimer's disease and help develop new treatments.
How similar studies have performed: While genetic studies have identified some risk factors for Alzheimer's, combining deep learning with neuroimaging and whole-genome sequencing for this purpose is a relatively new and promising approach.
Where this research is happening
Houston, United States
- University of Texas Hlth Sci Ctr Houston — Houston, United States (Active)
Researchers
- Principal investigator: Zhi, Degui — University of Texas Hlth Sci Ctr Houston
- Study coordinator: Zhi, Degui
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.