Maxime Guye

This study maps the topographic organization of the human zona incerta using diffusion MRI and connectivity analysis, revealing gradients and clusters linked to specific cortical regions and functions.

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.

The paper examines multi-timescale functional connectivity dynamics in the brain using EEG and fMRI data, finding spatial convergence but temporal divergence across different FC timescales.

This study examines brain connectivity patterns in epilepsy patients with and without SUDEP risk, linking cardiorespiratory rhythms to neural activity and SUDEP risk.

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 study links seizure spread on a patient-specific cortical surface to theta-alpha activity patterns using computational modeling in The Virtual Brain.

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.

The paper uses a neural mass model combined with patient-specific brain networks to simulate seizure propagation and test clinical hypotheses about epileptic seizure dynamics.

The paper identifies daily oscillating transcripts in the hippocampus of control and epileptic mice, showing distinct circadian patterns and implications for drug timing.

The paper introduces a motion correction method for multi-contrast 3D imaging and shows it outperforms existing methods in reducing image misalignment.

The paper quantifies changes in dynamic functional connectivity (dFC) speed after sleep deprivation and finds that modular dFC speed correlates with task-specific cognitive performance declines.

This paper develops a seizure control strategy using patient-specific brain network models to predict and modulate seizure propagation patterns in epilepsy patients.