Adrià Tauste Campo

The paper identifies high-connectivity states (HCS) as a pre-seizure biomarker in epilepsy, showing increased probability hours before seizures and linking it to seizure-onset zone dynamics.

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 study examines how thalamocortical interactions shape neural variability during stimulus perception in monkeys, revealing distinct dynamics across brain regions.

This paper introduces a novel analytical framework to correlate local neural activity with global connectivity fluctuations in human intracranial EEG data during a face-recognition task, finding that similar connectivity patterns are coupled to local activity in face-processing brain regions.

This study investigates how theta oscillations in the supplementary motor areas (SMAs) support deliberate action switching during a motor sequence task in humans.

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

This paper introduces MOU-EC, a whole-brain effective connectivity model for fMRI data to study brain cognition in health and disease, showing its application in extracting task-specific biomarkers and interpreting connectivity changes.

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

The paper examines directional interactions between somatosensory thalamo-cortical circuits during tactile perception in monkeys, finding increased feedforward activity during stimulus presence and bidirectional interactions with high stimulus amplitude.

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.

This paper introduces a non-parametric test for detecting directed connectivity in multivariate autoregressive networks and applies it to multiunit activity data from monkeys.