Optimizing Neuroimaging in Adolescent Mental Health: Complementary Big Data and Precision Patient Approaches
www.vumc.org/psychiatry/grand-rounds/psychiatryGR_TervoClemmens
About the Speaker:
Brenden Tervo-Clemmens, PhD, LP
Assistant Professor of Psychiatry & Behavioral Sciences
Masonic Institute for the Developing Brain
Affiliate Faculty of Institute of Child Development
Affiliate Faculty of Graduate Program in Neuroscience
University of Minnesota
Dr. Tervo-Clemmens is an Assistant Professor in Psychiatry & Behavioral Sciences and Masonic Institute for the Developing Brain at the University of Minnesota. He earned his PhD (Clinical Psychology) from the University of Pittsburgh, with secondary training from Carnegie Mellon University (Cognitive Neuroscience), focusing on the intersection of developmental cognitive neuroscience, mental health research, and computational methods. He then trained at Massachusetts General Hospital/Harvard Medical School for his predoctoral clinical internship and postdoctoral fellowship, with an emphasis on research and treatment of adolescents with substance use disorders.
Substantive interests of his research group, the Tervo-Clemmens (T-C) Lab, are the neurodevelopment of adolescent executive function, impulsivity, and risk-taking (and their interrelationships) in normative and clinical populations. The T-C Lab is also engaged in methodological research aiming to evaluate and improve the reproducibility and ultimately, clinical and policy utility, of large-scale fMRI and behavioral assessments in neurodevelopmental studies.
Summary:
This talk will present findings using population-level big data and complementary precision patient study designs to improve the understanding of adolescent brain and behavioral development, how deviations from normative development confer risk for mental health and substance use disorders, and opportunities to translate these insights to clinical care.
Objectives:
The activity is designed to help the learner:
1. Explain challenges to reproducibility and clinical utility in psychiatric neuroimaging research.
2. Apply lessons learned from large-scale reproducibility studies to design new studies
3. Describe opportunities to integrate long-term clinical goals with study design