ProNET — a network tracking early signs of psychosis
Official title: ProNET: Psychosis-Risk Outcomes Network
Funded at Yale University · NIH-11491101 · Data updated 2026-11-12
This project follows people at clinical high risk for psychosis over two years using brain scans, tests, and smartphone data to find patterns that predict clinical outcomes.
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 | May 31, 2026 |
| Funding year | 2026 |
| Award (this year) | $379,260 |
| NIH project number | 3U01MH124639-05SA |
| Project ID | NIH-11491101 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates are people identified as being at clinical high risk (attenuated psychotic symptoms, recent functional decline, or similar risk signs) who can attend repeated visits over two years.
✕Less likely to help
People without CHR signs, those already diagnosed with a chronic psychotic disorder, or anyone unable to commit to the study schedule may not gain direct benefit from participation.
What this research studies
You would join a network of 26 clinics that enrolls people judged to be at clinical high risk for psychosis and healthy volunteers. At multiple visits over 24 months, the team collects MRI and EEG brain measures, blood and other body-fluid samples, genetics, cognitive and symptom tests, recorded speech, and passive smartphone sensor data. Biomarkers are measured at two timepoints and clinical outcomes are tracked at eight timepoints to map how brain and behavior change over time. The goal is to link these measurements to real-world symptom and functioning trajectories that matter to patients.
Why it matters
Potential benefit: If successful, this work could help clinicians identify who is most likely to develop psychosis and guide earlier, more personalized interventions to prevent or reduce illness.
How similar studies have gone: Smaller prior CHR studies have linked some biomarkers and therapies to outcomes but results have been mixed, so this larger multi-site effort is more comprehensive and relatively novel in scale.
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.
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Psychosis in Diverse Settings: Understanding Symptoms and Treatment Across Global South
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A new online brain-scan-style tool to spot early psychosis risk
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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.
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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.