Explore familywise error rate control for statistical testing in brain image ontologies in this 38-minute conference talk by Daniel Tward. Delve into the challenges of statistical neuroimaging, including false positives and complex brain geometry. Learn about brain atlases, spatial patterns, and the conversion of test statistics to p-values. Examine methods for addressing false discovery rates and familywise error rate control. Discover how to build statistical models and apply the EM algorithm to sample data. Gain insights from related research papers and a poster presentation on statistical testing at multiple scales in brain ontologies.