Network tracking people at risk for psychosis
ProNET: Psychosis-Risk Outcomes Network
This project follows people at clinical high risk for psychosis to find brain, behavioral, and digital signs that predict how symptoms and needs change 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-11382677 on NIH RePORTER |
What this research studies
You would join a large international network that follows people at clinical high risk for psychosis over two years to look for biological, behavioral, and digital signals linked to how symptoms change. Participants (about 1,040 people at risk and 260 healthy volunteers) will have brain MRI and EEG, genetic testing, blood or other body fluid samples, speech recordings, cognitive tests, and passive smartphone monitoring, with key biomarkers collected twice and clinical outcomes measured at eight timepoints. The study aims to identify patterns that show who improves, stays the same, or gets worse so care can be better matched to each person's needs.
Who could benefit from this research
Good fit: People identified as clinical high risk for psychosis (for example, recent attenuated psychotic symptoms, genetic risk plus functional decline, or brief intermittent psychosis) who can attend visits, undergo scans and testing, and share smartphone data.
Not a fit: People already diagnosed with a full psychotic disorder, those without CHR features, or those unable to complete repeated in-person assessments or provide biospecimens are unlikely to receive direct benefit from this prevention-focused effort.
Why it matters
Potential benefit: If successful, this work could enable earlier and more personalized care for people at high risk for psychosis.
How similar studies have performed: Prior multi-site CHR efforts (such as NAPLS) have found promising risk markers, but turning these into reliable, individualized predictions and treatments is still evolving.
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.