Network to understand early signs and outcomes in people at high risk for psychosis
ProNET: Psychosis-Risk Outcomes Network
This project will collect brain scans, EEG, genetics, blood tests, speech samples and smartphone data from people at clinical high risk for psychosis to find patterns that predict who develops psychosis over two years.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Yale University NIH-funded |
| Lab location | 1 site (New Haven, United States) |
| Project ID | NIH-11493633 on NIH RePORTER |
What this research studies
If I join, the team will follow people identified as being at clinical high risk for psychosis across 26 international sites and collect many types of data over 24 months. They will do MRI and EEG brain measures, cognitive and symptom interviews, genetic testing, blood and other body-fluid tests, recorded speech, and passive smartphone sensor data. About 1,040 high-risk participants will be followed at eight timepoints and biomarkers will be collected at two timepoints, with 260 healthy volunteers completing baseline testing for comparison. The goal is to link these measures to clinical outcomes and symptom trajectories that matter for treatment.
Who could benefit from this research
Good fit: People identified as clinical high risk for psychosis (often adolescents or young adults with recent changes such as attenuated psychotic symptoms, brief psychotic episodes, or related functional decline) who can attend repeated visits at a participating site.
Not a fit: People without signs of being at clinical high risk for psychosis, those unable to travel to a participating site, or those seeking immediate changes in clinical treatment are unlikely to receive direct benefit from participation.
Why it matters
Potential benefit: If successful, this work could help doctors predict who is most likely to develop psychosis and guide earlier, more personalized care.
How similar studies have performed: Smaller, single-site studies have identified some promising biomarkers but results are mixed, and this large multi-site effort is a novel step toward more reliable prediction.
Where this research is happening
New Haven, United States
- Yale University — New Haven, United States (Active)
Researchers
- Principal investigator: Woods, Scott W — Yale University
- Study coordinator: Woods, Scott W
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.