Using deep learning to study brain health and aging in Alzheimer's disease
FiberNET: Deep learning to evaluate brain tract integrity worldwide and in AD
['FUNDING_R01'] · UNIVERSITY OF SOUTHERN CALIFORNIA · NIH-10875744
This study is looking at how aging affects the brain's communication pathways and how these changes might relate to Alzheimer's disease, using advanced imaging techniques to help us understand the impact of factors like gender and genetics on brain health.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF SOUTHERN CALIFORNIA (nih funded) |
| Locations | 1 site (Los Angeles, UNITED STATES) |
| Trial ID | NIH-10875744 on ClinicalTrials.gov |
What this research studies
This research investigates how the brain's white matter, which is crucial for neural communication, changes as people age and how these changes relate to Alzheimer's disease (AD). By utilizing advanced deep learning techniques, the study analyzes diffusion MRI scans from participants worldwide to assess the integrity of brain pathways. The research aims to understand how factors like sex, genetic risk, and amyloid levels influence brain aging and to determine if these metrics can better predict clinical decline in AD patients. This collaborative effort brings together experts in neuroimaging, machine learning, and genomics to create a comprehensive understanding of brain health.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals aged 65 and older, particularly those with a family history of Alzheimer's or genetic risk factors.
Not a fit: Patients under 65 years of age or those without any risk factors for Alzheimer's disease may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved methods for predicting Alzheimer's disease progression and better understanding of brain aging.
How similar studies have performed: Previous research has shown promise in using advanced imaging techniques and machine learning to study brain health, indicating that this approach could yield valuable insights.
Where this research is happening
Los Angeles, UNITED STATES
- UNIVERSITY OF SOUTHERN CALIFORNIA — Los Angeles, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: THOMPSON, PAUL M — UNIVERSITY OF SOUTHERN CALIFORNIA
- Study coordinator: THOMPSON, PAUL M
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.
Conditions: Acquired brain injury