Creating flexible brain atlases without templates or coordinates
Modularly built, complete, coordinate- and template-free brain atlases
This study is working on creating detailed maps of the brain that can be easily adjusted for different people and situations, helping researchers understand brain functions better and potentially leading to more effective treatments for neurological conditions.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Georgia Institute of Technology NIH-funded |
| Lab location | 1 site (Atlanta, United States) |
| Project ID | NIH-11014404 on NIH RePORTER |
What this research studies
This research aims to develop advanced brain atlases that can be easily customized for different genetic backgrounds and experimental conditions. By utilizing machine learning and innovative imaging techniques, the project seeks to create accurate and comprehensive maps of the nervous system that can be used without specialized equipment. This approach will allow for the collection of high-resolution data at a larger scale, making it more accessible for various biological analyses. Patients may benefit from improved understanding of brain structures and functions, which could lead to better-targeted treatments for neurological conditions.
Who could benefit from this research
Good fit: Ideal candidates for participation or benefit from this research would include individuals with neurological conditions or those interested in the genetic basis of brain function.
Not a fit: Patients with conditions unrelated to neurological function or those not within the age range of 21+ years may not receive direct benefits from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate and personalized approaches in understanding and treating neurological disorders.
How similar studies have performed: While the approach of creating flexible brain atlases is innovative, similar methodologies using machine learning in biological mapping have shown promise in other contexts.
Where this research is happening
Atlanta, United States
- Georgia Institute of Technology — Atlanta, United States (Active)
Researchers
- Principal investigator: Lu, Hang — Georgia Institute of Technology
- Study coordinator: Lu, Hang
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.