Developing a fast method to analyze brain structures related to cerebrospinal fluid.
Official title: FastPlex: A Fast Deep Learning Segmentation Method for Accurate Choroid Plexus Morphometry
Funded at Beth Israel Deaconess Medical Center · NIH-11062359 · Data updated 2026-11-12
This study is looking at a part of the brain that helps keep it healthy by making fluid, and it aims to develop a quick and accurate way to identify this part in brain scans, which could help us learn more about how it changes with age and in conditions like Alzheimer's and bipolar disorder.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Beth Israel Deaconess Medical Center NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project start | June 1, 2023 |
| Project end | March 31, 2028 |
| Funding year | 2025 |
| Award (this year) | $500,666 |
| NIH project number | 5R01MH131586-03 |
| Project ID | NIH-11062359 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals over 21 years old who are experiencing neurodevelopmental or neuropsychiatric disorders, such as Alzheimer's disease or bipolar disorder.
✕Less likely to help
Patients with no neurodevelopmental or neuropsychiatric disorders, or those under 21 years old, may not benefit from this research.
What this research studies
This research focuses on the choroid plexus, a brain structure crucial for producing cerebrospinal fluid, which supports brain health. By utilizing advanced deep learning techniques, the project aims to create a fast and reliable method for accurately segmenting the choroid plexus in neuroimaging data. This will help researchers understand how changes in this structure are associated with aging and various brain disorders, including Alzheimer's disease and bipolar disorder. The study will analyze data from over 22,000 brain scans to enhance the accuracy of brain imaging tools.
Why it matters
Potential benefit: If successful, this research could lead to improved diagnostic tools for brain disorders, enhancing early detection and treatment options for patients.
How similar studies have gone: Previous research has shown success in using deep learning for neuroimaging analysis, indicating a promising approach for this project.
Where this research is happening
-
Beth Israel Deaconess Medical Center
Boston, United States Active
Researchers
- Principal investigator: Lizano, Paulo L — Beth Israel Deaconess Medical Center
- Study coordinator: Lizano, Paulo L
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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.