Racialized Heteroscedasticity in Neuroimaging Features, Behavior Measures, and Neuroimaging-Based Predictive Models
This study of 4,736 ABCD cohort participants reveals that racialized heteroscedasticity, characterized by consistently higher variance in neuroimaging and behavioral data for Black participants, systematically induces disparities in prediction error and model reliability even when mean differences are absent, highlighting variance structure as a critical determinant of model generalizability across diverse populations.