The “Connectivity Epileptogenicity Index ” (cEI), a method for mapping the different seizure onset patterns in StereoElectroEncephalography recorded seizures

• Published in: Clinical neurophysiology 2020-08, Vol.131 (8), p.1947-1955
• Main Authors: Balatskaya, Alexandra, Roehri, Nicolas, Lagarde, Stanislas, Pizzo, Francesca, Medina, Samuel, Wendling, Fabrice, Bénar, Christian-George, Bartolomei, Fabrice
• Format: Article
• Language: English
• Subjects: Adolescent; Adult; Bioengineering; Cerebral Cortex - physiopathology; Child; Child, Preschool; Connectivity; Electroencephalography - methods; Electroencephalography - standards; Epilepsy - diagnosis; Epilepsy - physiopathology; Epilepsy surgery; Epileptogenicity index; Female; Focal epilepsy; Humans; Life Sciences; Male; Middle Aged; Sensitivity and Specificity; StereoElectroEncephalography
• ISSN: 1388-2457; 1872-8952
• DOI: 10.1016/j.clinph.2020.05.029

•Connectivity epileptogenicity index (cEI) is a method to quantify seizure onset.•cEI combines a directed connectivity measure (“out-degrees”) and the original epileptogenicity index (EI).•For seizures with slow onset patterns, cEI gave a better estimation than EI. Localization of epileptogenic brain regions is a crucial aim of pre-surgical evaluation of patients with drug-resistant epilepsy. Several methods have been proposed to identify the seizure onset zone, particularly based on the detection of fast activity. Most of these methods are inefficient to detect slower patterns of onset that account for 20–30% of commonly observed Stereo-Electro-Encephalography (SEEG) patterns. We seek to evaluate the performance of a new quantified measure called the Connectivity Epileptogenicity Index (cEI) in various types of seizure onset patterns. We studied SEEG recorded seizures from 51 patients, suffering from focal drug-resistant epilepsy. The cEI combines a directed connectivity measure (“out-degrees”) and the original epileptogenicity index (EI). Quantified results (Out-degrees, cEI and EI) were compared to visually defined seizure onset zone (vSOZ). We computed recall (sensitivity) and precision (proportion of correct detections within all detections) with vSOZ as a reference. The quality of the detector was quantified by the area under the precision-recall curve. Best results (in terms of match with vSOZ) were obtained for cEI. For seizures with fast onset patterns, cEI and EI gave comparable results. For seizures with slow onset patterns, cEI gave a better estimation of the vSOZ than EI. We observed that cEI discloses better performance than EI when seizures starts with slower patterns and equal to EI in seizures with fast onset patterns. The cEI is a promising new tool for epileptologists, that helps characterizing the seizure onset zone in sEEG, in a robust way despite variations in seizure onset patterns.