Developing a fast method to analyze brain structures related to cerebrospinal fluid.

FastPlex: A Fast Deep Learning Segmentation Method for Accurate Choroid Plexus Morphometry

NIH-funded research Beth Israel Deaconess Medical Center · NIH-11062359

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 typeR01 grant
Study typeNIH-funded research
Funding institutionBeth Israel Deaconess Medical Center NIH-funded
Lab location1 site (Boston, United States)
Project IDNIH-11062359 on NIH RePORTER

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.

Who could benefit from this research

Good fit: 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.

Not a fit: Patients with no neurodevelopmental or neuropsychiatric disorders, or those under 21 years old, may not benefit from this research.

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 performed: Previous research has shown success in using deep learning for neuroimaging analysis, indicating a promising approach for this project.

Where this research is happening

Boston, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Last reviewed 2026-06-09 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.