NIH-funded research R01 grant

Using brain development patterns to spot early substance-use risk and COVID-19 effects in kids

Official title: Application of a Bayesian strategy to ABCD: Identification of substance use risk and COVID-19 effects on neurodevelopment

Funded at Yale University · NIH-11261143 · Data updated 2026-11-12

This project uses brain and behavior patterns from children and teens to find who may be more likely to start using substances and how the COVID-19 pandemic changed their brain development.

More COVID-19 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 startApril 1, 2022
Project endJanuary 31, 2027
Funding year2026
Award (this year)$317,970
NIH project number5R01DA053301-05
Project IDNIH-11261143 on NIH RePORTER

Who could benefit from this research

Could help

Ideal candidates are children and adolescents (roughly 9–20 years old) who are enrolled in the ABCD study or similar longitudinal brain-development cohorts and who experienced adolescence during the COVID-19 pandemic.

Less likely to help

Adults outside the adolescent age range or people not enrolled in ABCD-like longitudinal studies are unlikely to see direct benefits from this specific analysis.

What this research studies

If you or your child are part of a long-term brain development study, this work looks at your existing brain scans and behavioral data to find typical growth paths and when a child moves away from those patterns. The team applies Bayesian machine-learning and time-series methods to the ABCD study's repeated brain and behavioral measurements to map normal versus at-risk trajectories. They will also compare data from before and during the COVID-19 pandemic to see how pandemic-related changes relate to substance-use vulnerability. Results will be shared as models that researchers and clinicians can use to better spot early risk.

Why it matters

Potential benefit: If successful, this could help spot children at higher risk earlier so families and clinicians can target prevention and support before problems start.

How similar studies have gone: Prior ABCD and other brain-imaging studies have linked development patterns to later substance use, but applying Bayesian hierarchical time-series to quantify pandemic-related deviations is a newer approach with limited prior precedent.

Where this research is happening

  • Yale University
    New Haven, United States
    Active

Researchers

  • Principal investigator: Yip, Sarah — Yale University
  • Study coordinator: Yip, Sarah

Related research

Other NIH-funded projects on the same topics.

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.