NIH-funded research U01 cooperative agreement

Psychosis-risk Outcomes Network (ProNET)

Official title: ProNET: Psychosis-Risk Outcomes Network

Funded at Yale University · NIH-11493635 · Data updated 2026-11-12

This project follows people at clinical high risk for psychosis across many centers to link brain, genetic, biological, and smartphone-based signals with symptom courses over two years.

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)$307,099
NIH project number3U01MH124639-05SG
Project IDNIH-11493635 on NIH RePORTER

Who could benefit from this research

Could help

Ideal candidates are people identified as being at clinical high risk for psychosis (recent, subthreshold or attenuated psychotic symptoms) who can attend repeated in-person assessments and give biological samples.

Less likely to help

People already diagnosed with a full psychotic disorder or those unable or unwilling to complete scans, blood draws, or smartphone-based monitoring are unlikely to benefit directly from participation.

What this research studies

If you join, you would be seen at one of 26 international ProNET sites for repeated visits and tests over 24 months. The project enrolls about 1,040 people at clinical high risk for psychosis and 260 healthy volunteers for comparison. Researchers collect MRI and EEG scans, blood and other body-fluid samples, genetic data, cognitive and symptom tests, recorded speech, and passive smartphone sensor data at multiple timepoints. Some measures are repeated to map how brain and behavior change over time and how those changes relate to clinical outcomes.

Why it matters

Potential benefit: If successful, this work could help identify early warning signs and tailor interventions to prevent or lessen psychotic disorders.

How similar studies have gone: Smaller single-site studies have found promising biomarkers for psychosis risk, but this large, multi-site, multi-modal network is novel in scale and scope.

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.