scholarly journals Имитационное моделирование эпилептиформной активности сетью нейроподобных радиотехнических осцилляторов

2021 ◽  
Vol 91 (3) ◽  
pp. 519
Author(s):  
Н.М. Егоров ◽  
В.И. Пономаренко ◽  
И.В. Сысоев ◽  
М.В. Сысоева

We developed a radioengineering circuit modeling a hierarchically organized thalamo-cortical network of the brain with an external input. We investigated the resulting model and found various regimes of forced and self-oscillations, including regimes with hard excitation. We established at what parameters the circuit demonstrates activity similar to spike-wave discharges at absence epilepsy, implementing the hypothesis that a spike-wave discharge is a long transient process near the bifurcation of the cycle birth from the condensation of phase trajectories.

2021 ◽  
Vol 115 ◽  
pp. 107532
Author(s):  
Ayşe Karson ◽  
Tijen Utkan ◽  
Tuğçe Demirtaş Şahin ◽  
Fuat Balcı ◽  
Sertan Arkan ◽  
...  

Author(s):  
Anita N. Datta ◽  
Laura Wallbank ◽  
Peter K. H. Wong

AbstractObjectiveBenign epilepsy of childhood with central temporal spikes (BECTS) and absence epilepsy are common epilepsy syndromes in children with similar age of onset and favorable prognosis. However, the co-existence of the electrocardiogram (EEG) findings of rolandic spike and 3 Hz generalized spike-wave (GSW) discharges is extremely rare, with few cases reported in the literature. Our objective was to characterize the EEG findings of these syndromes in children in our center and review the electro-clinical features.MethodsAll EEGs at BC Children’s Hospital are entered in a database, which include EEG findings and clinical data. Patients with both centro-temporal spikes and 3 Hz GSW discharges were identified from the database and clinical data were reviewed.ResultsAmong the 43,061 patients in the database from 1992 to 2017, 1426 with isolated rolandic discharges and 528 patients with isolated 3 Hz GSW discharges were identified, and 20 (0.05%) patients had both findings: 3/20 had BECTS, and subsequently developed childhood absence epilepsy and 17/20 had no seizures characteristic for BECTS. At follow-up, 17 (85%) were seizure-free, 1 (5%) had rare, and 2 (10%) had frequent seizures.ConclusionsThis is the largest reported group of patients to our knowledge with the co-existence of rolandic and 3 Hz GSW discharges on EEGs in one institution, not drug-induced. As the presence of both findings is extremely rare, distinct pathophysiological mechanisms are likely. The majority had excellent seizure control at follow-up, similar to what would be expected for each type of epilepsy alone.


2003 ◽  
Vol 75 (4) ◽  
pp. 889-894 ◽  
Author(s):  
Gilles van Luijtelaar ◽  
Bogusława Budziszewska ◽  
Magdalena Tetich ◽  
Władysław Lasoń

1998 ◽  
Vol 807 (1-2) ◽  
pp. 243-245 ◽  
Author(s):  
Katalin Gerber ◽  
Janos Filakovszky ◽  
Peter Halasz ◽  
Gyorgy Bagdy

2021 ◽  
Vol 8 (4) ◽  
pp. 180-187
Author(s):  
Saleh Lashkari ◽  
Ali Moghimi ◽  
Hamid Reza Kobravi ◽  
Mohamad Amin Younessi Heravi

Background: Animal models of absence epilepsy are widely used in childhood absence epilepsy studies. Absence seizures appear in the brain’s electrical activity as a specific spike wave discharge (SWD) pattern. Reviewing long-term brain electrical activity is time-consuming and automatic methods are necessary. On the other hand, nonlinear techniques such as phase space are effective in brain electrical activity analysis. In this study, we present a novel SWD-detection framework based on the geometrical characteristics of the phase space. Methods: The method consists of the following steps: (1) Rat stereotaxic surgery and cortical electrode implantation, (2) Long-term brain electrical activity recording, (3) Phase space reconstruction, (4) Extracting geometrical features such as volume, occupied space, and curvature of brain signal trajectories, and (5) Detecting SDWs based on the thresholding method. We evaluated the approach with the accuracy of the SWDs detection method. Results: It has been demonstrated that the features change significantly in transition from a normal state to epileptic seizures. The proposed approach detected SWDs with 98% accuracy. Conclusion: The result supports that nonlinear approaches can identify the dynamics of brain electrical activity signals.


Neurology ◽  
1992 ◽  
Vol 42 (5) ◽  
pp. 1000-1000 ◽  
Author(s):  
P. R. Camfield ◽  
C. S. Camfield ◽  
J. M. Dooley ◽  
K. Gordon ◽  
S. Jollymore ◽  
...  

2010 ◽  
Vol 89 (2-3) ◽  
pp. 176-184 ◽  
Author(s):  
Kotaro Sakurai ◽  
Youji Takeda ◽  
Naoaki Tanaka ◽  
Tsugiko Kurita ◽  
Hideaki Shiraishi ◽  
...  

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