PUBH7411

An unprecedented volume of neuroimaging and genomics data has become available through large-scale open data initiatives such as the Adolescent Brain Cognitive Development Study (ABCD), spurring rapid growth of brain imaging genomics studies to improve understanding of the pathophysiological processes and genetic architecture of mental health. While these large-scale repositories create new opportunities to explore the brain’s interaction with the environment and integrate socioenvironmental and behavioral data with neuroimaging and genomic information, they also raise challenges in data management and analysis. The Summer Course on Reproducible Research in Brain Imaging Genetics (RR-BIG) is designed to train junior researchers in the best practices for reproducible analysis of large, openly accessible brain imaging and genomics data to learn how to estimate meaningful associations of genetic variants on brain structure and function, along with their implications for cognitive functions and broader mental health outcomes.

Prerequisites
Graduate students, postdocs, research associates, junior faculty, or other early-career researchers with research interest in brain imaging genetics data analysis and/or genetic basis of mental disorders.

Required training background in at least one of these core competencies: statistics, bioinformatics, neuroscience, or related fields.

Some experience with R or Python is desired.

Every Summer