Seizures of temporal lobe epilepsy: identification of subtypes by coherence analysis using stereo-electro-encephalography

Bartolomei, Fabricē; Wendling, Fabrice; Vignal, Jean–Pierre; Kochen, S.; Bellanger, Jean-Jacques; Badier, Jean‐Michel; Jeannès, Régine Le Bouquin; Chauvel, Patrick

doi:10.1016/s1388-2457(99)00107-8

Cited by 117 publications

(93 citation statements)

References 24 publications

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“…The result is shown in Fig. 5b and c. The introduction of a reciprocal coupling in the model is sucient to produce sustained discharges of spikes (involving the three populations) that closely resemble those observed in SEEG signals during the spread of a seizure to neocortical structures in temporal lobe epilepsies (Bartolomei et al 1999). The same eect is obtained when a retro-coupling from population 2 to population 1 is introduced.…”

Section: In¯uence Of the Coupling Strength And Directionmentioning

confidence: 52%

Relevance of nonlinear lumped-parameter models in the analysis of depth-EEG epileptic signals

Wendling

Bellanger

Bartolomei

et al. 2000

Biological Cybernetics

363

316

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In the field of epilepsy, the analysis of stereoelectroencephalographic (SEEG, intra-cerebral recording) signals with signal processing methods can help to better identify the epileptogenic zone, the area of the brain responsible for triggering seizures, and to better understand its organization. In order to evaluate these methods and to physiologically interpret the results they provide, we developed a model able to produce EEG signals from "organized" networks of neural populations. Starting from a neurophysiologically relevant model initially proposed by Lopes Da Silva et al. [Lopes da Silva FH, Hoek A, Smith H, Zetterberg LH (1974) Kybernetic 15: 27-37] and recently re-designed by Jansen et al. [Jansen BH, Zouridakis G, Brandt ME (1993) Biol Cybern 68: 275 283] the present study demonstrates that this model can be extended to generate spontaneous EEG signals from multiple coupled neural populations. Model parameters related to excitation, inhibition and coupling are then altered to produce epileptiform EEG signals. Results show that the qualitative behavior of the model is realistic; simulated signals resemble those recorded from different brain structures for both interictal and ictal activities. Possible exploitation of simulations in signal processing is illustrated through one example; statistical couplings between both simulated signals and real SEEG signals are estimated using nonlinear regression. Results are compared and show that, through the model, real SEEG signals can be interpreted with the aid of signal processing methods.

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Section: In¯uence Of the Coupling Strength And Directionmentioning

confidence: 52%

Relevance of nonlinear lumped-parameter models in the analysis of depth-EEG epileptic signals

Wendling

Bellanger

Bartolomei

et al. 2000

Biological Cybernetics

363

316

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“…To ensure that results were methodologically sound and comparable among our patients, we elected to perform reconstruction of the location of individual SEEG electrodes, MEG dipoles and area of resection in the same space using the patient's own MRI. Studies have suggested that advanced quantitative analyses could perhaps improve the accuracy of intracranial EEG (Bartolomei et al, 1999;Le Van Quyen et al, 2001;Wendling et al, 2005;Gnatkovsky et al, 2014;Andrzejak et al, 2015). Introduction, validation and widespread application of these techniques in the clinical setting would be a most welcome addition to current practice.…”

Section: Additional Methodological Concernsmentioning

confidence: 99%

Correlating magnetoencephalography to stereo-electroencephalography in patients undergoing epilepsy surgery

Murakami

Wang

Marashly

et al. 2016

Brain

134

103

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) for a scientific commentary on this article.Magnetoencephalography and stereo-electroencephalography are often necessary in the course of the non-invasive and invasive presurgical evaluation of challenging patients with medically intractable focal epilepsies. In this study, we aim to examine the significance of magnetoencephalography dipole clusters and their relationship to stereo-electroencephalography findings, area of surgical resection, and seizure outcome. We also aim to define the positive and negative predictors based on magnetoencephalography dipole cluster characteristics pertaining to seizure-freedom. Included in this retrospective study were a consecutive series of 50 patients who underwent magnetoencephalography and stereo-electroencephalography at the Cleveland Clinic Epilepsy Center. Interictal magnetoencephalography localization was performed using a single equivalent current dipole model. Magnetoencephalography dipole clusters were classified based on tightness and orientation criteria. Magnetoencephalography dipole clusters, stereo-electroencephalography findings and area of resection were reconstructed and examined in the same space using the patient's own magnetic resonance imaging scan. Seizure outcomes at 1 year postoperative were dichotomized into seizurefree or not seizure-free. We found that patients in whom the magnetoencephalography clusters were completely resected had a much higher chance of seizure-freedom compared to the partial and no resection groups (P = 0.007). Furthermore, patients had a significantly higher chance of being seizure-free when stereo-electroencephalography completely sampled the area identified by magnetoencephalography as compared to those with incomplete or no sampling of magnetoencephalography results (P = 0.012). Partial concordance between magnetoencephalography and interictal or ictal stereo-electroencephalography was associated with a much lower chance of seizure freedom as compared to the concordant group (P = 0.0075). Patients with one single tight cluster on magnetoencephalography were more likely to become seizure-free compared to patients with a tight cluster plus scatter (P = 0.0049) or patients with loose clusters (P = 0.018). Patients whose magnetoencephalography clusters had a stable orientation perpendicular to the nearest major sulcus had a better chance of seizure-freedom as compared to other orientations (P = 0.042). Our data demonstrate that stereo-electroencephalography exploration and subsequent resection are more likely to succeed, when guided by positive magnetoencephalography findings. As a corollary, magnetoencephalography clusters should not be ignored when planning the stereo-electroencephalography strategy. Magnetoencephalography tight cluster and stable orientation are positive predictors for a good seizure outcome after resective surgery, whereas the presence of scattered sources diminishes the probability of favourable outcomes. The concordance pattern between magnetoencephalography and stereo-electroencephalography is a strong...

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“…In patients with lateral neocortical epilepsies, PET hypometabolism was prominent in the superior temporal gyrus, concordant with SEEG data. 9,28 Bilateral TLE were finally characterized by a more bilateral extension of the temporal hypometabolism. Taken as a whole, these findings argue for the classification of TLE epilepsies in distinct anatomic subtypes.…”

Section: Discussionmentioning

confidence: 99%

¹⁸FDG‐PET in different subtypes of temporal lobe epilepsy: SEEG validation and predictive value

et al. 2015

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SUMMARYObjective: The objective of the study was to characterize interictal 18-fluorodeoxyglucose-positron emission tomography ( 18 FDG-PET) whole-brain voxel-based metabolic patterns among distinct subtypes of temporal lobe epilepsy (TLE), as defined by stereo-electroencephalography (SEEG) and to determine predictive value of PET result on postoperative outcome. Methods: Fifty-four consecutive patients with pharmacoresistant TLE were enrolled retrospectively after a comprehensive presurgical evaluation. This evaluation defined: 7 lateral TLE, 17 mesial TLE, 14 "plus" TLE, and 16 bilateral TLE. Whole-brain voxelbased brain metabolism was studied in each group of patients, in comparison to 23 healthy subjects, and individual classification was evaluated by cross-validation using the found clusters. An 18 FDG-PET index was moreover calculated for each patient, based on the individual Z-score of the most significant cluster extracted on the comparison between patients' subgroup and healthy subjects. Logistic regression analysis was used to estimate factors associated with postoperative outcome (Engel's classes III-IV vs. I-II), including age, gender, disease duration, seizure frequency, as well as magnetic resonance imaging (MRI) and PET findings. Results: Different patterns of hypometabolism were found inside and outside the epileptogenic zone, among patients with distinct subgroups of TLE, in comparison to healthy subjects (p < 0.001, corrected for the cluster). At individual level, cross-validation showed satisfactory discrimination between the four groups with 71.4-88.2% overall accuracy. Multivariate analysis shows that 18 FDG-PET index was the only significant predictor of postoperative outcome to distinguish between Engel's classes I-II and III-IV (p = 0.037). Significance: Overall, this whole-brain voxel-based analysis validates specific patterns of hypometabolism, inside and outside the EZ, in distinct subgroups of patients with TLE, as defined by SEEG gold standard, and in relation with postoperative outcome.

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Seizures of temporal lobe epilepsy: identification of subtypes by coherence analysis using stereo-electro-encephalography

Cited by 117 publications

References 24 publications

Relevance of nonlinear lumped-parameter models in the analysis of depth-EEG epileptic signals

Relevance of nonlinear lumped-parameter models in the analysis of depth-EEG epileptic signals

Correlating magnetoencephalography to stereo-electroencephalography in patients undergoing epilepsy surgery

¹⁸FDG‐PET in different subtypes of temporal lobe epilepsy: SEEG validation and predictive value

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Seizures of temporal lobe epilepsy: identification of subtypes by coherence analysis using stereo-electro-encephalography

Cited by 117 publications

References 24 publications

Relevance of nonlinear lumped-parameter models in the analysis of depth-EEG epileptic signals

Relevance of nonlinear lumped-parameter models in the analysis of depth-EEG epileptic signals

Correlating magnetoencephalography to stereo-electroencephalography in patients undergoing epilepsy surgery

18FDG‐PET in different subtypes of temporal lobe epilepsy: SEEG validation and predictive value

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¹⁸FDG‐PET in different subtypes of temporal lobe epilepsy: SEEG validation and predictive value