A software suite for analyzing brain imaging data
Official title: The Neuroimaging Brain Chart Software Suite
Funded at University of Pennsylvania · NIH-11087713 · Data updated 2026-11-12
This study is working on a new software tool that helps researchers better understand brain health by analyzing MRI scans, making it easier to track brain aging and conditions like Alzheimer's, so that patients can benefit from more accurate insights about their brain health.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Pennsylvania NIH-funded |
| Lab location | 1 site (Philadelphia, United States) |
| Project start | April 15, 2023 |
| Project end | March 31, 2028 |
| Funding year | 2025 |
| Award (this year) | $879,586 |
| NIH project number | 5U24NS130411-03 |
| Project ID | NIH-11087713 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals over 21 years old who have undergone brain MRI scans and are experiencing symptoms related to aging or neurodegenerative disorders.
✕Less likely to help
Patients with no history of brain imaging or those under 21 years old may not benefit from this research.
What this research studies
This research focuses on developing the NeuroImaging Brain Chart (NIBCh) software toolbox, which utilizes machine learning to analyze brain MRI data. By integrating various imaging modalities and statistical methods, the software aims to create a standardized framework for understanding brain aging and neurodegenerative disorders. Patients' brain imaging data can be processed and compared against a large database of previously analyzed data, allowing for more accurate assessments of brain health. This tool will enable researchers to conduct large-scale studies and improve the understanding of brain conditions.
Why it matters
Potential benefit: If successful, this research could lead to more accurate diagnoses and better treatment strategies for brain-related conditions.
How similar studies have gone: Similar research utilizing machine learning for brain imaging analysis has shown promising results, indicating potential for success in this approach.
Where this research is happening
-
University of Pennsylvania
Philadelphia, United States Active
Researchers
- Principal investigator: Davatzikos, Christos — University of Pennsylvania
- Study coordinator: Davatzikos, Christos
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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.