Julia Makhalova

The paper uses multivariate information theory to analyze higher-order network interactions in drug-resistant focal epilepsy patients using resting-state fMRI, finding that redundant information-sharing dominates epileptogenic networks and correlates with surgical outcomes.

This study identifies multi-scale structural changes in the thalamus and basal ganglia of focal epilepsy patients using 7T MRI, showing their dependence on epileptogenic zones and clinical features.

This paper introduces a laminar neural mass model that realistically reproduces SEEG recordings during epileptic seizures and demonstrates its ability to capture key electrophysiological features.

This study investigates whether theta-alpha activity patterns in seizure recordings are caused by spreading seizures, finding support for this hypothesis through simulations and comparisons with real patient data.