Analyzing brain dynamics to improve cognitive diagnosis
Using integral equations to capture spatiotemporal relations in the brain
This study is looking at new ways to understand how the brain works by using advanced math and computer techniques, which could help doctors better diagnose and treat cognitive issues by finding unique patterns in brain recordings.
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-10937859 on NIH RePORTER |
What this research studies
This research investigates how to better understand brain dynamics through advanced mathematical modeling. By using machine learning techniques that incorporate nonlocal equations, the project aims to capture the complex relationships in brain recordings over time. This approach seeks to develop diagnostic scores that reflect the severity of cognitive pathologies, providing a more accurate assessment than traditional methods. Patients' brain recordings will be analyzed to extract unique patterns that can inform diagnosis and treatment.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals experiencing cognitive difficulties or disorders, such as dementia or other neurodegenerative diseases.
Not a fit: Patients with stable cognitive function and no history of cognitive disorders may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate diagnoses of cognitive disorders, improving treatment outcomes for patients.
How similar studies have performed: While the use of nonlocal equations in machine learning for brain dynamics is relatively novel, preliminary studies have shown promising results.
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.