Development of advanced software for analyzing brain data
Official title: Unified, Scalable, and Reproducible Neurostatistical Software
Funded at New York University · NIH-10725500 · Data updated 2026-11-12
This study is working on a new software tool that helps scientists better understand animal behavior and brain data, which could eventually lead to better treatments for mental health issues.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | New York University NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project start | July 10, 2023 |
| Project end | July 9, 2026 |
| Funding year | 2023 |
| Award (this year) | $2,186,881 |
| NIH project number | 1RF1MH133778-01 |
| Project ID | NIH-10725500 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for benefiting from this research are individuals with mental health disorders who may be part of studies utilizing the new software for data analysis.
✕Less likely to help
Patients with conditions unrelated to mental health or those not involved in research utilizing this software may not receive direct benefits.
What this research studies
This research focuses on creating a unified software platform that simplifies the analysis of complex neural and behavioral data collected from animals. By consolidating various statistical models into one reliable tool, the project aims to enhance the ability of researchers to interpret large datasets effectively. Patients with mental health disorders may benefit indirectly as the findings could lead to improved understanding and treatment of these conditions through better data analysis in neuroscience. The software will be designed to handle the increasing scale of data generated in neuroscience, making it easier for researchers to draw meaningful conclusions.
Why it matters
Potential benefit: If successful, this research could lead to more effective treatments for mental health disorders by improving the analysis of brain data.
How similar studies have gone: Other research in neuroscience has shown success with similar software development approaches, indicating a promising potential for this project.
Where this research is happening
-
New York University
New York, United States Active
Researchers
- Principal investigator: Williams, Alexander Henry — New York University
- Study coordinator: Williams, Alexander Henry
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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.