Javier O. Garcia

The paper quantifies how biophysical factors shape brain functional connectivity and shows molecular factors dominate graph-theoretic features while physical factors influence gradient features in neurological disorders.

This study investigates how cerebellar stimulation affects cortical network dynamics using dynamic community detection, finding increased network flexibility and individualized modular changes.

This study investigates how cardiac-sympathetic activity and neural alpha-band power interact during approach-avoidance conflict, showing their collaborative role in managing reward sensitivity.

This study investigates how blue-enriched light affects neural network reconfiguration during awakening from slow wave sleep, showing partial acceleration of long-range communication prioritization.

The paper assesses reproducibility and variability in multi-modal, longitudinal brain networks across different modalities and tasks, finding structural networks more reliable than functional ones for individual identification.

This study uses EEG to analyze brain network reconfigurations during social media and in-person interactions, finding that opinion change is linked to less frequent network reconfigurations.

This study investigates the relationship between leg movements and cortical arousals during sleep using a novel leg movement monitor and polysomnography, revealing causal links through neuro-extremity analysis.

This study uses graph-theoretical analysis to identify network dynamics predicting seizure propagation patterns and post-onset dynamics in epilepsy.

The paper uses TMS-EEG and dynamic community detection to analyze how brain network reconfigurations differ in alpha and beta frequency bands following stimulation.

This paper applies community detection algorithms to brain graphs derived from neuroimaging data to uncover patterns of coordinated neural activity and their implications for brain function.

The paper uses diffusion MRI to analyze white matter architecture and shows it can predict social, health, and cognitive attributes across individuals.

The paper investigates how social exclusion affects brain connectivity in adolescents and links these changes to the density of their friendship networks.