Requirements and recent advances in research on organic neuroelectronics are outlined
herein. Neuroelectronics such as neural interfaces and neuroprosthetics provide a …

Epileptogenic networks are defined by the brain regions involved in the production and
propagation of epileptic activities. In this review we describe the historical, methodologic …

Electroencephalogram (EEG)-based major depressive disorder (MDD) machine learning
detection models can objectively differentiate MDD from healthy controls but are limited by …

Electroencephalography (EEG) remains an essential diagnostic tool for people with epilepsy
(PWE). The International Federation of Clinical Neurophysiology produces new guidelines …

Drug-refractory focal epilepsies are network diseases associated with functional connectivity
alterations both during ictal and interictal periods. A large majority of studies on the …

Objective The aim was to compare the outcomes of subdural electrode (SDE) implantations
versus stereotactic electroencephalography (SEEG), the 2 predominant methods of …

Objective In this study, we seek to analyze the determinants of the intracranial
electroencephalography seizure onset pattern (SOP) and the impact of the SOP in predicting …

Objective The virtual epileptic patient (VEP) is a large‐scale brain modeling method based
on virtual brain technology, using stereoelectroencephalography (SEEG), anatomical data …

With a prevalence of 0.8 to 1.2%, epilepsy represents one of the most frequent chronic
neurological disorders; 30 to 40% of patients suffer from drug-resistant epilepsy (that is …

OBJECTIVE Stereoelectroencephalography (sEEG) is a well-established surgical method
for defining the epileptogenic network. Traditionally reserved for identifying discrete cortical …