Leandro Junges

The paper examines if baseline EEG network metrics correlate with resilience to sleep deprivation, finding strong associations between certain graph features and resilience, but also time-dependent changes in network stability.

This study examines functional brain networks in children with and without epilepsy during wakefulness and sleep, linking network markers to neurodevelopmental traits like autism and ADHD.

This paper develops a dynamic network model to study how treatment affects seizure propensity over time in epilepsy, identifying potential prognostic markers for personalized treatment.

The paper classifies human chronotypes using fMRI network-based statistics, achieving 97.3% accuracy in distinguishing early from late chronotypes.