Combining different kinds of brain scans to better spot and track Alzheimer's
Bayesian Object-Oriented Modeling of Multi-Modal Imaging Data
This project builds new statistical tools to link multiple types of brain images so Alzheimer's changes can be seen more clearly and tracked over time.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California, San Francisco NIH-funded |
| Lab location | 1 site (San Francisco, United States) |
| Project ID | NIH-11229599 on NIH RePORTER |
What this research studies
From a patient's point of view, researchers are creating methods that join structural scans (like MRI) and network/connectivity scans (like functional MRI or PET) so they tell a single, clearer story about the brain. The approach uses Bayesian modeling to share information across images while handling high-dimensional, noisy data. The team will develop theory and fast computer methods so the models are reliable and practical for clinical data. Ultimately the goal is better, more robust imaging markers that clinicians can use to monitor Alzheimer's progression.
Who could benefit from this research
Good fit: Ideal participants would be people with Alzheimer's disease or related cognitive decline who have or can get different types of brain imaging scans, or who contribute previously collected imaging data.
Not a fit: People without multimodal brain imaging available or those seeking immediate treatment changes rather than improved imaging interpretation may not see direct benefit.
Why it matters
Potential benefit: If successful, this work could make brain scans more accurate for earlier detection and clearer tracking of Alzheimer's, helping doctors time treatments and monitor response.
How similar studies have performed: Some prior studies combining single imaging types have shown promise, but integrated Bayesian joint models for multimodal brain images are relatively new and not yet widely validated in patients.
Where this research is happening
San Francisco, United States
- University of California, San Francisco — San Francisco, United States (Active)
Researchers
- Principal investigator: Scheffler, Aaron Wolfe — University of California, San Francisco
- Study coordinator: Scheffler, Aaron Wolfe
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.