Roza M. Umarova

This study benchmarks predictive models for long-term stroke outcomes using a global consortium, revealing mechanistic diversity and key predictors across motor, cognitive, and emotional domains.

The paper examines how covariate control in brain imaging analysis can bias results by systematically shifting associations between imaging features and covariates, without necessarily improving precision.