Using brain imaging and cognitive tests to predict other brain diseases in Alzheimer's patients
Official title: Autopsy-informed integrated clinical and imaging models for prediction of non-AD co-pathologies in AD
Funded at Northern California Institute/res/edu · NIH-11053173 · Data updated 2026-11-12
This study is looking to create smart computer models that help doctors spot other brain issues in people with Alzheimer's disease, so they can better understand and treat those patients.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Northern California Institute/res/edu NIH-funded |
| Lab location | 1 site (San Francisco, United States) |
| Project start | December 1, 2024 |
| Project end | November 30, 2029 |
| Funding year | 2025 |
| Award (this year) | $791,086 |
| NIH project number | 1R01AG091657-01 |
| Project ID | NIH-11053173 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals diagnosed with Alzheimer's disease who may also exhibit symptoms of other neurodegenerative conditions.
✕Less likely to help
Patients who do not have a diagnosis of Alzheimer's disease or those with other unrelated neurological conditions may not benefit from this research.
What this research studies
This research aims to develop advanced computational models that utilize neuroimaging and cognitive assessments to identify non-Alzheimer's disease neuropathological changes in individuals diagnosed with Alzheimer's disease. By analyzing data from autopsy-confirmed cases, the study seeks to improve the detection of co-existing brain conditions that can complicate Alzheimer's disease. The approach involves machine learning techniques to enhance the accuracy of predictions based on available clinical data. This could lead to better understanding and treatment of Alzheimer's patients who may also have other neurodegenerative diseases.
Why it matters
Potential benefit: If successful, this research could lead to improved diagnostic tools that allow for more effective treatment strategies for Alzheimer's patients with additional brain pathologies.
How similar studies have gone: Previous research has shown promise in using neuroimaging and machine learning to identify co-pathologies in neurodegenerative diseases, indicating that this approach has potential for success.
Where this research is happening
-
Northern California Institute/res/edu
San Francisco, United States Active
Researchers
- Principal investigator: Tosun-Turgut, Duygu — Northern California Institute/res/edu
- Study coordinator: Tosun-Turgut, Duygu
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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.