Alessandro Príncipe

This study compares power and connectivity-based sEEG biomarkers for identifying seizure-onset zones in temporal lobe epilepsy, finding that power-based methods generally perform better but both can achieve similar results with optimal parameter tuning.

This paper investigates how hippocampal theta oscillations normalize episodic memory information content relative to sensory input density during virtual navigation.

The paper introduces a method to identify spatially localized brain events using entropy mapping, achieving high sensitivity and specificity in predicting epilepsy foci.

The paper shows that human hippocampal theta power increases during sequential spatial planning and correlates with decision speed and accuracy.

The paper identifies a pre-seizure critical phase with reduced network variability and global connectivity reduction in human epileptic brain recordings.

This study uses intracranial EEG to show that cognitive processing in humans involves increased network integration and decreased segregation, particularly in the gamma band, driven by changes in synchronization patterns.