Zeus Gracia-Tabuenca

This study shows that early second language acquisition enhances global brain network efficiency through the inter-hemispheric cortico-cerebellar pathway.

The paper examines developmental changes in hippocampal neurite diffusion markers and their correlation with cell-type composition using MRI and gene-expression data.

The paper predicts depression risk in early adolescents using multimodal brain imaging features and machine learning, finding that resting-state functional connectomes outperform other neuroimaging derivatives.

This study uses Topological Data Analysis to examine how functional brain connectivity changes during adolescence, finding nonlinear developmental trajectories influenced by puberty.

The paper examines dynamic functional connectivity patterns in meditators during an interoceptive attention task and rest periods, finding task-related changes in network organization.

This study shows that brain functional connectome development follows nonlinear trajectories dependent on puberty rather than chronological age, with increased connectivity and efficiency after pubertal onset.

The paper introduces NBR, an R-package extending Network-Based Statistics to handle unbalanced longitudinal samples using mixed-effects models, showing higher statistical power in detecting significant brain connectivity subnetworks associated with state anxiety.

This paper uses topological data analysis to identify altered brain network topology in ADHD, showing significant differences in functional connectomes, especially in the frontal lobe and default mode network.