Mirella Dapretto

The paper examines how polygenic liability for autism affects neonatal thalamocortical connectivity and behavioral outcomes, revealing sex-specific impacts on brain connectivity and motor development.

The paper investigates altered aperiodic EEG spectral power during speech perception in youths with ASD, linking increased neural noise to lower verbal communication skills.

The paper uses resting-state fMRI data to show that early language network functional connectivity predicts later language development trajectories in infants.

The paper introduces a novel metric, estimated axonal latency, to measure neuronal processing speed in autism spectrum disorder using MRI and EEG data.

The paper uses high-resolution myelin mapping to show graded variation in cortical myelination rates along the sensorimotor-association axis during adolescence.

The paper examines altered Salience Network connectivity in 6-week-old infants at risk for autism, finding that stronger sensorimotor connectivity predicts ASD symptomatology.

The paper examines thalamocortical connectivity in infants at high familial risk for ASD and finds altered functional and structural connectivity predicting later social development.

The paper uses EEG data from infants to predict later ASD symptoms using multivariate pattern analysis, finding specific connectivity differences associated with ASD.

The paper describes neuroimaging processing methods for the ABCD Study to extract brain phenotypes from multimodal imaging data.

This study examines how age, puberty, and testosterone levels influence affective reactivity in adolescents using longitudinal fMRI data.