Permutation entropy‐derived parameters to estimate the epileptogenic zone network

Archive ouverte

Bratu, Ionuț‐Flavius | Makhalova, Julia | Garnier, Elodie | Villalon, Samuel Medina | Jegou, Aude | Bonini, Francesca | Lagarde, Stanislas | Pizzo, Francesca | Trébuchon, Agnès | Scavarda, Didier | Carron, Romain | Bénar, Christian | Bartolomei, Fabrice

Edité par CCSD ; Wiley -

International audience. Quantification of the epileptogenic zone network (EZN) most frequently implies analysis of seizure onset. However, important information can also be obtained from the postictal period, characterized by prominent changes in the EZN. We used permutation entropy (PE), a measure of signal complexity, to analyze the peri‐ictal stereoelectroencephalography (SEEG) signal changes with emphasis on the postictal state. We sought to determine the best PE‐derived parameter (PEDP) for identifying the EZN. Methods Several PEDPs were computed retrospectively on SEEG‐recorded seizures of 86 patients operated on for drug‐resistant epilepsy: mean baseline preictal entropy, minimum ictal entropy, maximum postictal entropy, the ratio between the maximum postictal and the minimum ictal entropy, and the ratio between the maximum postictal and the baseline preictal entropy. The performance of each biomarker was assessed by comparing the identified epileptogenic contacts or brain regions against the EZN defined by clinical analysis incorporating the Epileptogenicity Index and the connectivity epileptogenicity index methods (EZNc), using the receiver‐operating characteristic and precision‐recall. Results The ratio between the maximum postictal and the minimum ictal entropy (defined as the Permutation Entropy Index [PEI]) proved to be the best‐performing PEDP to identify the EZN C . It demonstrated the highest area under the curve (AUC) and F1 score at the contact level (AUC 0.72; F1 0.39) and at the region level (AUC 0.78; F1 0.47). PEI values gradually decreased between the EZN, the propagation network, and the non‐involved regions. PEI showed higher performance in patients with slow seizure‐onset patterns than in those with fast seizure‐onset patterns. The percentage of resected epileptogenic regions defined by PEI was significantly correlated with surgical outcome. Significance PEI is a promising tool to improve the delineation of the EZN. PEI combines ease and robustness in a routine clinical setting with high sensitivity for seizures without fast activity at seizure onset.

Suggestions

Du même auteur

How fast does the brain recover after an epileptic seizure?

Archive ouverte | Bratu, Ionuț‐Flavius | CCSD

International audience. Abstract The postictal state, an abnormal cerebral condition following a seizure until the return to the interictal baseline, is frequently overlooked, despite often exceeding ictal duration ...

Epileptogenic zone characteristics determine effectiveness of electrical transcranial stimulation in epilepsy treatment

Archive ouverte | Daoud, Maeva | CCSD

International audience. Transcranial direct current stimulation shows promise as a non-invasive therapeutic method for patients with focal drug-resistant epilepsy. However, there is considerable variability in indiv...

The role of quantitative markers in surgical prognostication after stereoelectroencephalography

Archive ouverte | Makhalova, Julia | CCSD

International audience. Abstract Objective Stereoelectroencephalography (SEEG) is the reference method in the presurgical exploration of drug‐resistant focal epilepsy. However, prognosticating surgery on an individu...

Chargement des enrichissements...