NIH-funded research R01 grant

Biomarkers and Biotypes in Early Psychosis for Bipolar Disorder and Related Conditions

Official title: 3/5 Biomarkers/Biotypes, Course of Early Psychosis and Specialty Services (BICEPS)

Funded at Yale University · NIH-11417147 · Data updated 2026-11-12

This project uses biomarker-based brain patterns and clinical data to predict outcomes for people with early psychosis and bipolar disorder who receive specialized care.

More Psychosis research and trials

Quick facts

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionYale University
NIH-funded
Lab location1 site (New Haven, United States)
Project startAugust 15, 2022
Project endJune 30, 2027
Funding year2026
Award (this year)$162,725
NIH project number5R01MH127158-05
Project IDNIH-11417147 on NIH RePORTER

Who could benefit from this research

Could help

Ideal candidates are individuals aged 18-35 with early psychosis or bipolar disorder with psychosis enrolled in coordinated specialty care.

Less likely to help

Patients outside the early psychosis window or not receiving CSC services may not benefit from this study.

What this research studies

If you have bipolar disorder with psychotic features and are in coordinated specialty care, this research will look at EEG, eye movement, and cognitive data collected early in illness to see how well they predict how the illness will progress over 1, 6, and 12 months. The study uses existing biomarker-based categories (Biotypes) previously identified in a broader psychosis group and applies them to young adults in CSC settings across multiple sites. By combining biomarker data with clinical information, researchers aim to identify distinct illness trajectories so care can be better tailored. Participants will contribute data during follow-up visits at CSC clinics, helping clinicians foresee course and adjust treatment plans accordingly.

Why it matters

Potential benefit: If successful, results could help doctors personalize treatment and improve long-term outcomes for people with early psychosis and bipolar-related psychosis.

How similar studies have gone: Previous BSNIP work showed that biomarker-based Biotypes can categorize psychosis; applying this to early psychosis is a novel but building on successful biomarker approaches.

Where this research is happening

  • Yale University
    New Haven, United States
    Active

Researchers

  • Principal investigator: Pearlson, Godfrey D — Yale University
  • Study coordinator: Pearlson, Godfrey D

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 2026-11-15 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.