Developing a software platform to analyze brain activity data
Official title: DDALAB: Identifying Latent States from Neural Recordings with Nonlinear Causal Analysis
Funded at University of California, San Diego · NIH-10643212 · Data updated 2026-11-12
This study is developing a new, easy-to-use software called DDALAB that helps researchers understand brain activity by analyzing how groups of neurons communicate, making it easier for them to work with brain data and gain insights into how our brains function.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California, San Diego NIH-funded |
| Lab location | 1 site (La Jolla, United States) |
| Project start | May 1, 2023 |
| Project end | April 30, 2026 |
| Funding year | 2023 |
| Award (this year) | $1,240,738 |
| NIH project number | 1RF1MH132664-01 |
| Project ID | NIH-10643212 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals undergoing EEG or iEEG monitoring for neurological assessments.
✕Less likely to help
Patients who do not undergo EEG or iEEG monitoring may not benefit from this research.
What this research studies
This research aims to create DDALAB, a user-friendly software tool that helps researchers analyze brain activity by identifying hidden states in neural recordings. It will utilize Delay Differential Analysis (DDA) to examine EEG and iEEG data, allowing for a deeper understanding of how information flows in large groups of neurons. The software will also connect with existing data repositories, enabling researchers to visualize and analyze their data more effectively. By integrating with high-performance computing resources, this platform will enhance the capabilities of neuroscience research.
Why it matters
Potential benefit: If successful, this research could lead to improved methods for understanding brain function and diagnosing neurological conditions.
How similar studies have gone: Other research has shown success in using nonlinear analysis techniques for brain data, indicating a promising approach.
Where this research is happening
-
University of California, San Diego
La Jolla, United States Active
Researchers
- Principal investigator: Sejnowski, Terrence J — University of California, San Diego
- Study coordinator: Sejnowski, Terrence J
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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.