New methods to detect early signs of Alzheimer's disease
Data driven dynamic activity/connectivity methods for early detection of Alzheimer’s
This study is looking at new ways to spot early signs of Alzheimer's disease by using brain scans to see how brain activity changes over time, helping to catch the disease before symptoms show up.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Georgia State University NIH-funded |
| Lab location | 1 site (Atlanta, United States) |
| Project ID | NIH-11098453 on NIH RePORTER |
What this research studies
This research focuses on developing advanced techniques to identify early indicators of Alzheimer's disease using brain imaging data. By employing dynamic functional activity and connectivity methods, the study aims to improve the accuracy and reliability of Alzheimer’s detection. The approach involves analyzing brain activity patterns over time to create individualized predictions of the disease before symptoms appear. This innovative methodology seeks to provide a more comprehensive understanding of brain dynamics and improve early diagnosis.
Who could benefit from this research
Good fit: Ideal candidates for this research are adults aged 21 and older who may be at risk for Alzheimer's disease or exhibit early signs of cognitive decline.
Not a fit: Patients who are already diagnosed with advanced Alzheimer's disease may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to earlier and more accurate detection of Alzheimer's disease, allowing for timely interventions.
How similar studies have performed: Previous research has shown promise in using dynamic brain imaging techniques for detecting Alzheimer's, indicating that this approach may build on successful methodologies.
Where this research is happening
Atlanta, United States
- Georgia State University — Atlanta, United States (Active)
Researchers
- Principal investigator: Calhoun, Vince D — Georgia State University
- Study coordinator: Calhoun, Vince D
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.