Jean-Jacques Bellanger

TL;DR: Results show that strikingly realistic activity is produced by the model when compared to real EEG signals recorded with intracerebral electrodes, and show that the transition from interictal to fast ictal activity is explained by the impairment of dendritic inhibition.

TL;DR: This study demonstrates that a neurophysiologically relevant model can be extended to generate spontaneous EEG signals from multiple coupled neural populations and shows that, through the model, real SEEG signals can be interpreted with the aid of signal processing methods.

TL;DR: Cross-correlation estimates within typical EEG sub-bands and statistical tests performed in 10 patients suffering from partial epilepsy reveal that SEEG signals are significantly de-correlated during the discharge period compared with periods that precede and follow this discharge, suggesting a functional decoupling of distant brain sites at seizure onset followed by an abnormally high re-coupling when the seizure develops.

TL;DR: Electrophysiologic patterns typically observed during the transition from interictal to ictal activity in human mesial temporal lobe epilepsy are related to mechanisms (at a neuronal population level) involved in seizure generation through a computational model of EEG activity.

TL;DR: These results confirm the existence of several generic and organized networks involving the medial structures during TLE seizures and construction of the neural systems inside which causality relationships are controlled and generation of multichannel EEG signals from these systems.