Silvina L. Ferradal

The paper maps individual functional brain network trajectories in neonates, showing age-related changes and differences between preterm and term-born infants.

This study uses a Bayesian framework on fMRI data to estimate individual functional connectivity patterns in neonates, revealing age-related changes and individual variability.

This study shows that infant functional connectivity patterns predict language and pre-literacy skills at age 6.5, independent of environmental factors and early language development.

This paper introduces a motion detection method for HD-DOT that improves spatial similarity to fMRI by using a global variance of temporal derivatives metric and motion censoring.