Alberto del Cerro‐León

This study tracks how electrophysiological functional connectivity changes during adolescence following alcohol initiation, finding divergent trajectories based on drinking severity.

The paper identifies latent factors underlying white matter metrics using MRI data from a cohort of healthy adults and links these factors to cardiovascular health and cognitive performance.

This study examines dynamic alpha power fluctuations, their relationship with functional connectivity, and the ability of a neural mass model to replicate these patterns using MRI and MEG data.

The paper uses unsupervised machine learning to cluster electrophysiological data from healthy teenagers and identifies patterns linked to future binge drinking behavior.

This study shows that individualized alpha frequency tACS reduces functional connectivity in the default mode network, particularly between hubs, suggesting complex interactions with cortical folding.

The paper predicts adolescent alcohol consumption using neuroanatomical and functional connectivity variables from MEG data in a cohort of 14-16 year olds.