Project Details
Layman's description
This project aims to advance mental health care by using brain signals to help diagnose and predict outcomes of mental disorders. By analyzing large amounts of brain recordings with advanced AI, researchers will create a detailed map of how these measurements vary among people during language comprehension. This approach supports precision medicine, recognizing that each patient is different and requires personalized care. The goal is to find the right treatment at the right time for the right patient, improving outcomes and making mental health care more effective, accessible, and tailored to individual needs while reducing strain on healthcare systems.
| Short title | P600Norm |
|---|---|
| Status | Active |
| Effective start/end date | 1/06/25 → 31/05/27 |
Keywords
- Normative Modeling
- Electroencephalography
- Precision Neuropsychiatry
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.