Predicting brain activity imbalances in Alzheimer's disease
Official title: Accurate and Individualized Prediction of Excitation-Inhibition Imbalance in Alzheimer's Disease using Data-driven Neural Model
Funded at Univ of North Carolina Chapel Hill · NIH-10727356 · Data updated 2026-11-12
This study is looking to find a better way to understand how Alzheimer's affects brain activity by using advanced imaging techniques, and it invites patients to help by sharing their brain scans, which could lead to more personalized treatments in the future.
Quick facts
| Grant type | R21 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 start | September 1, 2023 |
| Project end | August 31, 2025 |
| Funding year | 2023 |
| Award (this year) | $427,625 |
| NIH project number | 1R21AG083589-01 |
| Project ID | NIH-10727356 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals diagnosed with Alzheimer's disease or those exhibiting early signs of cognitive decline.
✕Less likely to help
Patients with other forms of dementia unrelated to Alzheimer's may not benefit from this research.
What this research studies
This research aims to develop a new method for accurately predicting the imbalance between excitation and inhibition in the brains of individuals with Alzheimer's disease. By using advanced imaging techniques and a data-driven neural model, the study will analyze brain activity patterns to identify specific areas affected by this imbalance. The goal is to create a personalized approach to understanding how Alzheimer's disease affects brain function, which could lead to better-targeted treatments. Patients may be involved in providing data through imaging studies that help validate this new predictive framework.
Why it matters
Potential benefit: If successful, this research could lead to improved diagnostic tools and targeted therapies for Alzheimer's disease.
How similar studies have gone: Previous research has shown promise in using advanced imaging techniques to study brain activity in Alzheimer's, suggesting that this approach may yield valuable insights.
Where this research is happening
-
Univ of North Carolina Chapel Hill
Chapel Hill, United States Active
Researchers
- Principal investigator: Li, Guoshi — Univ of North Carolina Chapel Hill
- Study coordinator: Li, Guoshi
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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.