Understanding brain circuits using advanced modeling software
Official title: Dissemination of the Human Neocortical Neurosolver (HNN) software for circuit level interpretation of human MEG/EEG
Funded at Brown University · NIH-10909289 · Data updated 2026-11-12
This study is all about sharing a special tool that helps researchers understand how the brain works by looking at brain signals, which could lead to better treatments for brain disorders.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Brown University NIH-funded |
| Lab location | 1 site (Providence, United States) |
| Project start | September 1, 2023 |
| Project end | July 31, 2028 |
| Funding year | 2024 |
| Award (this year) | $655,241 |
| NIH project number | 5U24NS129945-02 |
| Project ID | NIH-10909289 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals affected by neurological conditions such as Alzheimer's disease or autism spectrum disorder.
✕Less likely to help
Patients with acute neurological injuries or those not diagnosed with the targeted conditions may not benefit from this research.
What this research studies
This research focuses on the dissemination of the Human Neocortical Neurosolver (HNN), a unique neural modeling tool designed to interpret human brain activity captured through magneto- and electro-encephalography (M/EEG). By bridging the gap between large-scale brain signals and the cellular dynamics that generate them, HNN allows researchers to explore how brain circuits function and how they may be affected by disorders. The tool is intended for widespread use among researchers, enabling them to test hypotheses and develop new insights into brain information processing. Ultimately, this could lead to improved understanding and treatment of neurological conditions.
Why it matters
Potential benefit: If successful, this research could enhance the understanding of brain disorders and lead to more effective treatments for conditions like Alzheimer's disease and autism.
How similar studies have gone: Previous research utilizing similar modeling approaches has shown promise in understanding brain function and developing treatments, indicating that this method could be effective.
Where this research is happening
-
Brown University
Providence, United States Active
Researchers
- Principal investigator: Jones, Stephanie Ruggiano — Brown University
- Study coordinator: Jones, Stephanie Ruggiano
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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.