NIH-funded research U01 cooperative agreement

Network to understand early signs of psychosis

Official title: ProNET: Psychosis-Risk Outcomes Network

Funded at Yale University · NIH-11493632 · Data updated 2026-11-12

This network follows people at clinical high risk for psychosis and healthy volunteers to look for brain, speech, blood, genetic, and smartphone signals that predict who develops psychotic disorders.

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)$375,439
NIH project number3U01MH124639-05SD
Project IDNIH-11493632 on NIH RePORTER

Who could benefit from this research

Could help

Ideal candidates are young people identified as being at clinical high risk for psychosis (attenuated psychotic symptoms) and healthy volunteers for comparison.

Less likely to help

People already in a full psychotic episode, those without any risk signs, or those unable or unwilling to undergo MRI/EEG or provide smartphone data may not directly benefit.

What this research studies

I would join a large international network that follows people at high risk for psychosis and healthy volunteers over 24 months. Participants complete detailed tests including MRI and EEG scans, blood and genetic tests, speech and cognitive measures, clinical interviews, and passive smartphone data across eight visits. Biomarkers are collected at two timepoints to map how brain and behavior change, and symptom trajectories are tracked at multiple timepoints to link markers with outcomes. The project combines these multi-modal measures to find patterns that predict who is most likely to develop psychotic disorders or need specific treatments.

Why it matters

Potential benefit: If successful, this could help detect people at highest risk earlier and guide personalized treatments to prevent or reduce psychosis.

How similar studies have gone: Smaller CHR studies have found some promising biomarkers but results have been inconsistent, so this larger, multi-site, multi-modal effort is more comprehensive and partly novel.

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.