NIH-funded research U01 cooperative agreement

Network to understand early signs and outcomes in people at high risk for psychosis

Official title: ProNET: Psychosis-Risk Outcomes Network

Funded at Yale University · NIH-11493633 · Data updated 2026-11-12

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.

More Psychosis research and trials

Quick facts

Grant typeU01 cooperative agreement
Study typeNIH-funded research
Funding institutionYale University
NIH-funded
Lab location1 site (New Haven, United States)
Project startSeptember 8, 2020
Project endMay 31, 2026
Funding year2026
Award (this year)$399,335
NIH project number3U01MH124639-05SE
Project IDNIH-11493633 on NIH RePORTER

Who could benefit from this research

Could help

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.

Less likely to help

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.

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.

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 gone: 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

  • 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.

    NIH research Suny Downstate Medical Center · Brooklyn, United States · NIH-11592428

  • 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.

    NIH research Suny Downstate Medical Center · Brooklyn, United States · NIH-11592427

  • 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.

    NIH research Northwestern University · Chicago, United States · NIH-11590585

  • 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.

    NIH research Boston Children's Hospital · Boston, United States · NIH-11554752

  • 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.

    NIH research VA San Diego Healthcare System · San Diego, United States · NIH-11552825

  • 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.

    NIH research Icahn School of Medicine at Mount Sinai · New York, United States · NIH-11539126

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.