Math-based tools to read how brain signals change over time and space
Using integral equations to capture spatiotemporal relations in the brain
Researchers will try math-driven machine learning to read brain recordings and produce continuous scores of cognitive function for people with memory, attention, or other thinking problems.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Idaho State University NIH-funded |
| Lab location | 1 site (Pocatello, United States) |
| Project ID | NIH-11170560 on NIH RePORTER |
What this research studies
This project uses advanced math (integral and integro-differential equations) combined with machine learning to capture long-range time and space relationships in brain recordings. The team will train models to learn dynamic "fingerprints" and attention-like model states that reflect how the brain is working over time. Those learned states will be translated into continuous diagnostic scores that aim to reflect severity of cognitive problems rather than single snapshot measures. The work builds from the investigators' preliminary results and aims to handle complex brain dynamics missed by static methods.
Who could benefit from this research
Good fit: Ideal candidates would be people with memory, attention, or other cognitive complaints who can provide or share brain recording data as part of diagnostic testing or research.
Not a fit: People without cognitive symptoms or those who cannot undergo or share brain recordings are unlikely to benefit directly from this project.
Why it matters
Potential benefit: If successful, this could give more sensitive, continuous measures of cognitive impairment to help diagnose and track thinking problems over time.
How similar studies have performed: This integral-equation approach combined with machine learning is relatively novel, with only preliminary promising work from the investigators and limited prior clinical testing.
Where this research is happening
Pocatello, United States
- Idaho State University — Pocatello, United States (Active)
Researchers
- Principal investigator: Zappala, Emanuele — Idaho State University
- Study coordinator: Zappala, Emanuele
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 below.