Creating automated tools to improve brain connectivity mapping
Official title: BRAIN CONNECTS: A Scalable Automated Proofreading Framework for Connectomics
Funded at Johns Hopkins University · NIH-10883962 · Data updated 2026-11-12
This study is working on new ways to automatically fix mistakes in brain maps, which helps scientists better understand how the brain works and how diseases affect it, ultimately benefiting patients by providing clearer insights into their conditions.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Johns Hopkins University NIH-funded |
| Lab location | 1 site (Baltimore, United States) |
| Project start | August 15, 2024 |
| Project end | July 31, 2027 |
| Funding year | 2024 |
| Award (this year) | $1,705,580 |
| NIH project number | 1U01NS137250-01 |
| Project ID | NIH-10883962 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for participation or benefit from this research include individuals with neurological conditions or those interested in brain health.
✕Less likely to help
Patients with conditions unrelated to neurological function may not receive direct benefits from this research.
What this research studies
This research focuses on developing automated proofreading methods to enhance the accuracy of brain connectivity maps, known as connectomes. By utilizing advanced imaging techniques and software tools, the project aims to correct errors in neuronal connectivity that arise during the mapping process. This will allow researchers to produce larger and more detailed datasets, which are essential for understanding brain function and the impact of neurological diseases. Patients may benefit from improved insights into the onset and progression of conditions affecting the brain.
Why it matters
Potential benefit: If successful, this research could lead to better understanding and treatment options for neurological diseases.
How similar studies have gone: Other research has shown success in using automated methods for data correction in similar fields, indicating a promising approach.
Where this research is happening
-
Johns Hopkins University
Baltimore, United States Active
Researchers
- Principal investigator: Rivlin, Patricia K — Johns Hopkins University
- Study coordinator: Rivlin, Patricia K
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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.