Simultaneous Recordings of MEG and Intracerebral EEG

2019 ◽  
pp. 279-292
Author(s):  
Christian-G. Bénar ◽  
Jean-Michel Badier
Keyword(s):  
Intracerebral Eeg

Neurophysiological seizure-onset predictors of epilepsy surgery outcome: a multivariable analysis

2020 ◽  
Vol 133 (6) ◽  
pp. 1863-1872 ◽  
Author(s):  
Hideaki Tanaka ◽  
Jean Gotman ◽  
Hui Ming Khoo ◽  
André Olivier ◽  
Jeffery Hall ◽  
...  
Keyword(s):  
Surgical Outcome ◽  
Focal Epilepsy ◽  
Univariate Analysis ◽  
Multivariable Analysis ◽  
Postoperative Outcome ◽  
Seizure Onset ◽  
Resective Surgery ◽  
Scalp Eeg ◽  
Surgery Outcome ◽  
Intracerebral Eeg

OBJECTIVEThe authors sought to determine which neurophysiological seizure-onset features seen during scalp electroencephalography (EEG) and intracerebral EEG (iEEG) monitoring are predictors of postoperative outcome in a large series of patients with drug-resistant focal epilepsy who underwent resective surgery.METHODSThe authors retrospectively analyzed the records of 75 consecutive patients with focal epilepsy, who first underwent scalp EEG and then iEEG (stereo-EEG) for presurgical assessment and who went on to undergo resective surgery between 2004 and 2015. To determine the independent prognostic factors from the neurophysiological scalp EEG and iEEG seizure-onset information, univariate and standard multivariable logistic regression analyses were used. Since scalp EEG and iEEG data were recorded at different times, the authors matched scalp seizures with intracerebral seizures for each patient using strict criteria.RESULTSA total of 3057 seizures were assessed. Forty-eight percent (36/75) of patients had a favorable outcome (Engel class I–II) after a minimum follow-up of at least 1 year. According to univariate analysis, a localized scalp EEG seizure onset (p < 0.001), a multilobar intracerebral seizure-onset zone (SOZ) (p < 0.001), and an extended SOZ (p = 0.001) were significantly associated with surgical outcome. According to multivariable analysis, the following two independent factors were found: 1) the ability of scalp EEG to localize the seizure onset was a predictor of a favorable postoperative outcome (OR 6.073, 95% CI 2.011–18.339, p = 0.001), and 2) a multilobar SOZ was a predictor of an unfavorable outcome (OR 0.076, 95% CI 0.009–0.663, p = 0.020).CONCLUSIONSThe study findings show that localization at scalp seizure onset and a multilobar SOZ were strong predictors of surgical outcome. These predictors can help to select the better candidates for resective surgery.

scholarly journals Canard solutions in neural mass models: consequences on critical regimes

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Elif Köksal Ersöz ◽  
Fabrice Wendling
Keyword(s):  
Temporal Dynamics ◽  
Spatial Scales ◽  
Singular Perturbation Theory ◽  
Geometric Singular Perturbation Theory ◽  
Critical Transitions ◽  
Intracerebral Eeg ◽  
Neural Mass ◽  
Mesoscopic Level ◽  
Eeg Recordings ◽  
Physiological Background

AbstractMathematical models at multiple temporal and spatial scales can unveil the fundamental mechanisms of critical transitions in brain activities. Neural mass models (NMMs) consider the average temporal dynamics of interconnected neuronal subpopulations without explicitly representing the underlying cellular activity. The mesoscopic level offered by the neural mass formulation has been used to model electroencephalographic (EEG) recordings and to investigate various cerebral mechanisms, such as the generation of physiological and pathological brain activities. In this work, we consider a NMM widely accepted in the context of epilepsy, which includes four interacting neuronal subpopulations with different synaptic kinetics. Due to the resulting three-time-scale structure, the model yields complex oscillations of relaxation and bursting types. By applying the principles of geometric singular perturbation theory, we unveil the existence of the canard solutions and detail how they organize the complex oscillations and excitability properties of the model. In particular, we show that boundaries between pathological epileptic discharges and physiological background activity are determined by the canard solutions. Finally we report the existence of canard-mediated small-amplitude frequency-specific oscillations in simulated local field potentials for decreased inhibition conditions. Interestingly, such oscillations are actually observed in intracerebral EEG signals recorded in epileptic patients during pre-ictal periods, close to seizure onsets.

scholarly journals Bilateral asymmetric tonic seizure in insulo-opercular epilepsy: an anatomo-electro-clinical study

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Xiangshu Hu ◽  
Kaihui Li ◽  
Xiao Wang ◽  
Ping Yang ◽  
Qinghua Tan ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Clonic Seizure ◽  
Tonic Seizure ◽  
Seizure Semiology ◽  
Intracerebral Eeg ◽  
Autonomic Changes ◽  
Sensorimotor Area ◽  
High Prevalence ◽  
Classical Pattern ◽  
Kendall Correlation

Abstract Background Insulo-opercular seizures are highly heterogeneous in seizure semiology and electrical features. Bilateral asymmetric limb posturing, as a classical pattern of supplementary sensorimotor area (SMA) seizure, also occurs in insulo-opercular epilepsy. This study was aimed to study the anatomo-electro-clinical correlations in bilateral asymmetric tonic seizures (BATS), in order to advance the understanding of insulo-opercular epilepsy. Methods Eight patients with insulo-opercular epilepsy as confirmed by stereoelectroencephalography (SEEG) and manifesting BATS as the major ictal motor sign, in Guangdong Sanjiu Brain Hospital Epilepsy Center from 2014 to 2018, were employed in this study. The BATS of the patients were evaluated, and the semiologic features and concomitant intracerebral EEG changes were quantified. Then the variables were examined with Cluster Analysis, and the semiologic features were correlated with anatomic localization using the Kendall correlation test. Results Of the 8 patients, the most frequent initial motor sign was bilateral asymmetric tonic posturing (62.5%). Facial tonic-clonic sign also had a high prevalence in the evolution of seizures (87.5%). The results of Cluster Analysis showed that the semiologic features were subdivided into two main groups, one group comprising exclusively BATS and the other including signs of focal tonic seizure, aura, focal limb tonic-clonic seizure (TCS), facial TCS, hypermotor behavior, eye movement, autonomic changes and generalized TCS. The BATS was strongly associated with the posterior long gyrus (PLG) of insula (t = 0.732) and parietal operculum (t = 1.000); the hypermotor behaviors were associated with the anterior long gyrus (ALG) (t = 0.770); and the autonomic changes were associated with the anterior limiting sulcus (ALS) (t = 0.734) and middle short gyrus (MSG) (t = 0.700). Conclusions The seizure semiology of insulo-opercular epilepsy is characterized, in temporal order, by BATS, with or without simultaneous hypermotor behaviors, and frequently ends up with facial tonic-clonic signs, which is different from that of the SMA seizure. The early spread network involving the posterior insular lobe and parietal operculum may contribute to this pattern of manifestation.

scholarly journals Role of the supplementary motor area during reproduction of supra-second time intervals: An intracerebral EEG study

NeuroImage ◽  
2019 ◽  
Vol 191 ◽  
pp. 403-420 ◽  
Author(s):  
Micha Pfeuty ◽  
Vincent Monfort ◽  
Madelyne Klein ◽  
Julien Krieg ◽  
Steffie Collé ◽  
...  
Keyword(s):  
Supplementary Motor Area ◽  
Motor Area ◽  
Time Intervals ◽  
Intracerebral Eeg

Mining Reproducible Activation Patterns in Epileptic Intracerebral EEG Signals: Application to Interictal Activity

2004 ◽  
Vol 51 (2) ◽  
pp. 304-315 ◽  
Author(s):  
J. Bourien ◽  
J.J. Bellanger ◽  
F. Bartolomei ◽  
P. Chauvel ◽  
F. Wendling
Keyword(s):  
Eeg Signals ◽  
Activation Patterns ◽  
Intracerebral Eeg

scholarly journals Analysis of Intracerebral EEG Recordings of Epileptic Spikes: Insights From a Neural Network Model

2009 ◽  
Vol 56 (12) ◽  
pp. 2782-2795 ◽  
Author(s):  
S. Demont-Guignard ◽  
P. Benquet ◽  
U. Gerber ◽  
F. Wendling
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Intracerebral Eeg ◽  
Epileptic Spikes ◽  
Eeg Recordings

scholarly journals A.06 Assessing inter-rater reliability in localizing sleep-related hypermotor seizures: a video-based survey

2019 ◽  
Vol 46 (s1) ◽  
pp. S9
Author(s):  
PM Lobbezoo ◽  
L Nobili ◽  
S Gibbs
Keyword(s):  
Focal Epilepsy ◽  
Small Difference ◽  
Training Session ◽  
Sleep Medicine ◽  
Kappa Statistics ◽  
Clinical Use ◽  
Rater Reliability ◽  
Intracerebral Eeg ◽  
Hypermotor Seizures ◽  
Eeg Recordings

Background: Sleep-related hypermotor epilepsy (SHE) is a focal epilepsy characterized by abrupt sleep-related hypermotor seizures (SRHS) with complex semiology. Although difficult to localize within the frontal lobe recent studies using intracerebral EEG recordings have suggested the existence of four distinct semiology patterns (SP) organized in a rostro-caudal manner. It remains unclear however if these SP are clinically useful. Methods: We aimed to estimate the inter-rater reliability (IR) of classifying SP in SHE amongst epilepsy and sleep medicine experts. Following a short training session, ten experts were asked to review and classify 40 videos of SRHS in patients with confirmed SHE. IR was calculated using Kappa statistics. Results: SP1 and SP4, who are at the opposite ends of the SHE semiology spectrum, had substantial IR (0.82 and 0.67, respectively). Meanwhile, SP2 and SP3 showed fair agreement (0.25 and 0.35, respectively) and represented the major source of variance, with a small difference favouring epilepsy experts. Conclusions: Amongst epilepsy and sleep medicine experts, IR of classifying SRHS into four SP was only mildly satisfactory. SP1 and SP4 were shown to be easily recognizable while SP2 and SP3 were frequently confounded. Improvements in SP recognition are needed before widespread clinical use.

scholarly journals Sleep influences the intracerebral EEG pattern of focal cortical dysplasia

2015 ◽  
Vol 113 ◽  
pp. 132-139 ◽  
Author(s):  
Inês Menezes Cordeiro ◽  
Nicolas von Ellenrieder ◽  
Natalja Zazubovits ◽  
François Dubeau ◽  
Jean Gotman ◽  
...  
Keyword(s):  
Focal Cortical Dysplasia ◽  
Cortical Dysplasia ◽  
Intracerebral Eeg ◽  
Eeg Pattern
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