ProNET: Psychosis-Risk Outcomes Network
Funded at Yale University · NIH-11519473 · Data updated 2026-11-12
A network study following people at high risk for psychosis to understand brain, behavior, and biology and how these relate to outcomes 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 start | September 8, 2020 |
| Project end | August 31, 2027 |
| Funding year | 2026 |
| Award (this year) | $5,416,216 |
| NIH project number | 4U01MH124639-06 |
| Project ID | NIH-11519473 on NIH RePORTER |
Who could benefit from this research
✓Could help
Individuals at clinical high risk for psychosis, plus healthy volunteers for comparison, across multiple international sites.
✕Less likely to help
Individuals without high-risk status or specific neuropsychiatric concerns may not benefit directly.
What this research studies
This project follows individuals at clinical high risk for psychosis across many international sites, collecting brain scans, EEG, genetics, body fluids, speech patterns, and digital behavior to map how these signals relate to symptoms and outcomes. It uses a large, multi-modal data approach and partners with data platforms to store and share findings. Participants will contribute information at multiple timepoints over 24 months to help identify patterns that predict who might develop psychosis and how best to tailor early interventions. Healthy volunteers are also included to establish normal variation and support comparisons.
Why it matters
Potential benefit: If successful, it could improve early identification and personalized treatment strategies for people at risk of psychosis, potentially reducing progression and improving quality of life.
How similar studies have gone: Previous intense phenotyping efforts suggest that integrating multimodal biomarkers can reveal meaningful brain-behavior patterns, though this exact data network is expansive and ongoing.
Where this research is happening
-
Yale University
New Haven, United States Active
Researchers
- Principal investigator: Woods, Scott W — Yale University
- Study coordinator: Woods, Scott W
Related research
Other NIH-funded projects on the same topics.
-
Psychosis in diverse settings across the world
This project studies how psychotic disorders show up and respond to treatment in adults with diverse backgrounds, including populations in Africa, the Caribbean, and other Global South settings.
-
Psychosis in Diverse Settings: Understanding Symptoms and Treatment Across Global South
A human-facing study will look at how psychotic disorders present and respond to treatment in adults from Africa, the Caribbean, and other Global South settings, using genetic and clinical data.
-
A new online brain-scan-style tool to spot early psychosis risk
A new online-based set of tasks and a computer model aims to identify people at high risk for developing psychosis earlier and more accurately.
-
Genetic clues for early-onset psychosis in Latino youth
This project looks at the genes of young people with early-onset psychosis and compares them with similar youths without psychosis to find genetic factors that contribute to the illness.
-
Biomarkers to tailor rehab for Veterans with schizophrenia
A clinician-scientist is developing a brain-based biomarker to guide personalized rehabilitation for Veterans with schizophrenia.
-
Computational analysis of facial expression in early psychosis
Aims to develop computer-based measures of facial expression in people at risk for or with schizophrenia to help track symptoms and guide future trials.
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.