Explicitly nonlinear fMRI networks reveal hidden trajectories of infant brain development
This study introduces a novel data-driven approach to map explicitly nonlinear fMRI connectivity in human infants, revealing that these nonlinear networks uncover complementary developmental trajectories for key brain systems—such as sensorimotor and default mode networks—that remain hidden when relying solely on traditional linear methods.