scholarly journals THE CORRELATION OF INTERICTAL EPILEPTIFORM DISCHARGES IN NON-REM SLEEP AND DURING FUNCTIONAL TESTS IN PERIODS BEFORE FALLING ASLEEP AND AFTER AWAKENING IN ADULTS WITH IDIOPATHIC GENERALIZED EPILEPSY WITH A VARIABLE PHENOTYPE

2018 ◽  
Vol 33 (1) ◽  
pp. 66-72
Author(s):  
O. V. Grebenyuk ◽  
V. M. Alifirova ◽  
M. V. Svetlik
2016 ◽  
Vol 37 (7) ◽  
pp. 1071-1077 ◽  
Author(s):  
Eman H. Esmail ◽  
Amani M. Nawito ◽  
Dalia M. Labib ◽  
Mye A. Basheer

2013 ◽  
Vol 12 (5) ◽  
pp. 24-30
Author(s):  
O. V. Grebenyuk ◽  
M. V. Svetlik ◽  
V. M. Alifiriva ◽  
I. D. Yevtushenko ◽  
Yu. A. Bochkov ◽  
...  

We investigated the predictors of increased seizures’ frequency among women with various forms of idiopathic generalized epilepsies (IGE) in the gestational and postgravid period. We observed 41 patients with Idiopathic generalized epilepsy (IGE) before, during and after pregnancy. During the period of observation EEG was recorded in the states of relaxed and active awakeness and sleeping. Patients, who have stopped to take anticonvulsants before pregnancy, have had increased frequency of seizures, more than1 ina year, with interictal epileptiform discharges in a state of relaxed and active awakeness. Increased seizures after pregnancy was observed in patients with interictal epileptiform discharges during sleep. The results can be used during the preparation of pregravid women with IGE. 


2020 ◽  
Vol 107 ◽  
pp. 107064
Author(s):  
Mohamed M. Hamdy ◽  
Amr M. Elfatatry ◽  
Jaidaa F. Mekky ◽  
Eman Hamdy

Author(s):  
Duong Nhu ◽  
Mubeen Janmohamed ◽  
Lubna Shakhatreh ◽  
Ofer Gonen ◽  
Patrick Kwan ◽  
...  

Epilepsy is the most common neurological disorder. The diagnosis commonly requires manual visual electroencephalogram (EEG) analysis which is time-consuming. Deep learning has shown promising performance in detecting interictal epileptiform discharges (IED) and may improve the quality of epilepsy monitoring. However, most of the datasets in the literature are small (n≤100) and collected from single clinical centre, limiting the generalization across different devices and settings. To better automate IED detection, we cross-evaluated a Resnet architecture on 2 sets of routine EEG recordings from patients with idiopathic generalized epilepsy collected at the Alfred Health Hospital and Royal Melbourne Hospital (RMH). We split these EEG recordings into 2s windows with or without IED and evaluated different model variants in terms of how well they classified these windows. The results from our experiment showed that the architecture generalized well across different datasets with an AUC score of 0.894 (95% CI, 0.881–0.907) when trained on Alfred’s dataset and tested on RMH’s dataset, and 0.857 (95% CI, 0.847–0.867) vice versa. In addition, we compared our best model variant with Persyst and observed that the model was comparable.


Epilepsia ◽  
1998 ◽  
Vol 39 (6) ◽  
pp. 628-632 ◽  
Author(s):  
Naoto Adachi ◽  
Gonzalo Alarcon ◽  
Colin D. Binnie ◽  
Robert D. C. Elwes ◽  
Charles E. Polkey ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Jiaonan Wu ◽  
Wei Ding ◽  
Xing Ye ◽  
Qiang Wei ◽  
Xinyi Lv ◽  
...  

Objective: Perceptual alternations evoked by binocular rivalry (BR) reflect cortical dynamics strongly dependent on the excitatory–inhibitory balance, suggesting potential utility as a biomarker for epileptogenesis. Therefore, we investigated the characteristics of BR in patients with idiopathic generalized epilepsy (IGE) and potential associations with clinical variables.Methods: Sixty-two healthy controls (HCs) and 94 IGE patients completed BR task. Perceptual alternation rates were compared between HC and IGE groups as well as among the HC group and IGE patients stratified according to the presence or absence of interictal activity on the ambulatory electroencephalogram (EEG), termed the abnormal ambulatory EEG group (AB-AEEG, n = 64) and normal ambulatory EEG group (N-AEEG, n = 30), respectively.Results: The IGE patients demonstrated a slower rate of BR perceptual alternation than HC subjects (t = −4.364, p < 0.001). The alternation rate also differed among the HC, AB-AEEG, and N-AEEG groups (F = 44.962, df = 2, p < 0.001), and post hoc comparisons indicated a significantly slower alternation rate in the AB-AEEG group compared with the N-AEEG and HC groups (0.28 vs. 0.46, and 0.43 Hz). Stepwise linear regression revealed positive correlations between the BR alternation rate and both the ambulatory EEG status (β, 0.173; standard error, 0.022 p < 0.001) and Montreal Cognitive Assessment score (β, 0.013; standard error, 0.004; p = 0.003). Receiver operating characteristic curve analysis of the BR alternation rate distinguished AB-AEEG from N-AEEG subjects with 90.00% sensitivity and 76.90% specificity (area under the curve = 0.881; 95% confidence interval = 0.801– 0.961, cut-off = 0.319). Alternatively, Montreal Cognitive Assessment score did not accurately distinguish AB-AEEG from N-AEEG subjects and the area under the receiver operating characteristic curve combining the BR alternation rate and Montreal Cognitive Assessment score was not markedly larger than that of the BR alternation rate alone (0.894, 95% confidence interval = 0.822–0.966, p < 0.001). K-fold cross-validation was used to evaluate the predictive performance of BR alternation rate, MoCA score, and the combination of both, which yielded average AUC values of 0.870, 0.584 and 0.847, average sensitivity values of 89.36, 92.73, and 91.28%, and average specificity values of 62.25, 13.42, and 61.78%, respectively. The number of interictal epileptiform discharges was significantly correlated with the alternation rate in IGE patients (r = 0.296, p = 0.018). A forward stepwise linear regression model identified the number of interictal epileptiform discharges (β, 0.001; standard error, 0.001; p = 0.025) as an independent factor associated with BR alternation rate in these patients.Conclusion: These results suggest that interictal epileptiform discharges are associated with disruptions in perceptual awareness, and that the BR may be a useful auxiliary behavioral task to diagnosis and dynamically monitor IGE patients with interictal discharge.


2010 ◽  
Vol 12 (3) ◽  
pp. 217-221 ◽  
Author(s):  
Petr Busek ◽  
Jitka Buskova ◽  
Sona Nevsimalova

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