Signal processing and computational modeling for interpretation of SEEG-recorded interictal epileptiform discharges in epileptogenic and non-epileptogenic zones

被引：8

作者：

Koksal-Ersoz, Elif ^{[1
]}

Lazazzera, Remo ^{[1
]}

Yochum, Maxime ^{[1
]}

Merlet, Isabelle ^{[1
]}

Makhalova, Julia ^{[2
]}

Mercadal, Borja ^{[3
]}

Sanchez-Todo, Roser ^{[3
]}

Ruffini, Giulio ^{[3
]}

Bartolomei, Fabrice ^{[2
]}

Benquet, Pascal ^{[1
]}

Wendling, Fabrice ^{[1
]}

机构：

[1] Univ Rennes, INSERM, LTSI UMR 1099, F-35000 Rennes, France

[2] Hop La Timone, AP HM, Serv Epileptol & Rythmol Cerebrale, Marseille, France

[3] Neuroelectrics, Av Tibidabo 47b, Barcelona 08035, Spain

来源：

JOURNAL OF NEURAL ENGINEERING | 2022年 / 19卷 / 05期

基金：

欧洲研究理事会;

关键词：

partial epilepsy; interictal epileptiform discharges; identification of epileptogenic zone; stereo-electroencephalography; neural mass models; TEMPORAL-LOBE EPILEPSY; INTRACEREBRAL EEG; ORIGIN; INTERNEURONS; INHIBITION; NEOCORTEX; SEIZURE; SPIKE; PATTERNS; NEURONS;

D O I：

10.1088/1741-2552/ac8fb4

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Objective. In partial epilepsies, interictal epileptiform discharges (IEDs) are paroxysmal events observed in epileptogenic zone (EZ) and non-epileptogenic zone (NEZ). IEDs' generation and recurrence are subject to different hypotheses: they appear through glutamatergic and gamma-aminobutyric acidergic (GABAergic) processes; they may trigger seizures or prevent seizure propagation. This paper focuses on a specific class of IEDs, spike-waves (SWs), characterized by a short-duration spike followed by a longer duration wave, both of the same polarity. Signal analysis and neurophysiological mathematical models are used to interpret puzzling IED generation. Approach. Interictal activity was recorded by intracranial stereo-electroencephalography (SEEG) electrodes in five different patients. SEEG experts identified the epileptic and non-epileptic zones in which IEDs were detected. After quantifying spatial and temporal features of the detected IEDs, the most significant features for classifying epileptic and non-epileptic zones were determined. A neurophysiologically-plausible mathematical model was then introduced to simulate the IEDs and understand the underlying differences observed in epileptic and non-epileptic zone IEDs. Main results. Two classes of SWs were identified according to subtle differences in morphology and timing of the spike and wave component. Results showed that type-1 SWs were generated in epileptogenic regions also involved at seizure onset, while type-2 SWs were produced in the propagation or non-involved areas. The modeling study indicated that synaptic kinetics, cortical organization, and network interactions determined the morphology of the simulated SEEG signals. Modeling results suggested that the IED morphologies were linked to the degree of preserved inhibition. Significance. This work contributes to the understanding of different mechanisms generating IEDs in epileptic networks. The combination of signal analysis and computational models provides an efficient framework for exploring IEDs in partial epilepsies and classifying EZ and NEZ.

引用

页数：24