Overexcitation of neurons in brain can lead to epilepsy seizures, and the key to control epilepsy seizures is to keep the balance between excitation and inhibition. In this paper, epileptiform index is presented to denote the seizure degree and used as control variable of PID controller to control epilepsy seizures. Neural mass model (NMM) is used as a test-bed to simulate the change of seizure degree with the increase of excitatory strength and two control strategies. Experimental results showed that the increase of excitatory strength could lead to a substantial increase of epileptiform index and trigger seizures. PID controller which is used to decrease excitatory strength or increase inhibitory strength can keep excitation-inhibition balance and inhibit epilepsy seizures. Epileptiform index can describe the linear and nonlinear feature of electroencephalogram (EEG) comprehensively, and PID controller is simple and independent of underlying physiological structure, which lays the foundation for its application in the clinic.
ObjectiveTo investigate the clinical characteristics of epileptics with pregnancy and then provide reference for standardized management of epileptics with pregnancy. MethodsFrom June 2012 to June 2021, epileptics with pregnancy who delivered in Jinan Central Hospital were selected as the research subjects. The clinical data such as the application of Antiseizure medications (ASMs) during pregnancy, seizure frequency, pregnancy outcomes, delivery ways, offspring feeding ways and the incidence of complications were investigated and analyzed. ResultsAmong 36 epileptics with pregnancy, 20 cases (55.56%) were treated with ASMs alone, 5 cases (13.88%) were treated with combined medication, and 11 cases (30.56%) were treated without ASMs during pregnancy. 15 cases (41.67%) adhered to systematic application of ASMs, 17 cases (47.22%) did not adhere to systematic application of ASMs, and 4 cases (11.11%) had unknown medication history. The frequency of seizures increased in 5 cases, decreased in 7 cases and unchanged in 24 cases during pregnancy. Pregnancy outcomes: full-term delivery in 33 cases (91.67%), preterm delivery in 1 case (2.78%) and abortion in 2 cases (5.56%). Delivery mode: cesarean section in 31 cases (91.18%), vaginal delivery in 3 cases (8.82%). After delivery, 4 cases (11.76%) were fed with milk powder and 30 cases (88.24%) were breast-fed. Complications: There were 6 cases complicated with anemia (16.67%), 5 cases complicated with gestational hypertension (13.89%), 3 cases complicated with gestational diabetes (8.33%), 4 cases complicated with premature rupture of membranes (11.11%), 2 cases complicated with fetal growth restriction (5.56%), 2 cases complicated with oligohydramnios (5.56%), 3 cases complicated with fetal distress (8.33%) and 3 cases complicated with neonatal asphyxia (8.33%). ConclusionsThe proportion of epileptics with pregnancy who were systematically treated with ASMs was low and the seizures were poorly controlled. There is a lack of standardized management for such patients in clinical practice.
It is very important for epilepsy treatment to distinguish epileptic seizure and non-seizure. In this study, an automatic seizure detection algorithm based on dual density dual tree complex wavelet transform (DD-DT CWT) for intracranial electroencephalogram (iEEG) was proposed. The experimental data were collected from 15 719 competition data set up by the National Institutes of Health (NINDS) in Kaggle. The processed database consisted of 55 023 seizure epochs and 501 990 non-seizure epochs. Each epoch was 1 second long and contained 174 sampling points. Firstly, the signal was resampled. Then, DD-DT CWT was used for EEG signal processing. Four kinds of features include wavelet entropy, variance, energy and mean value were extracted from the signal. Finally, these features were sent to least squares-support vector machine (LS-SVM) for learning and classification. The appropriate decomposition level was selected by comparing the experimental results under different wavelet decomposition levels. The experimental results showed that the features selected in this paper were different between seizure and non-seizure. Among the eight patients, the average accuracy of three-level decomposition classification was 91.98%, the sensitivity was 90.15%, and the specificity was 93.81%. The work of this paper shows that our algorithm has excellent performance in the two classification of EEG signals of epileptic patients, and can detect the seizure period automatically and efficiently.
ObjectiveThe optimal target of deep brain stimulation (DBS) for treating intractable epilepsy is still undefined. Cumulative studies suggest that the mediodorsal thalamic nucleus (MD) is involved in seizure activity, the purpose of this study was to investigate the effect of high frequency stimulation in MD on pentylenetetrazole (PTZ)-induced seizures in rats. MethodsThe experimental rats (Male Sprague-Dawley rats 280-350 g) were all provided by Experimental Animal Center, Zhejiang Academy of Medical Science, Hangzhou, China. The rats were given unilateral or bilateral stimulation of the MD at 100 Hz (HFS group) and sham stimulation, others were given unilateral stimulation of the MD at 1 Hz (LFS group). EEGs in the cortex and seizure behavior were recorded with the Neuroscan system at the same time. ResultsNeither LFS nor HFS of the MD changed the latency to the first spikes or EEG manifestations for stage 3 and stage 5 seizures; animals receiving unilateral or bilateral HFS of the MD decreased the number of stage 5 EEG seizure synchronized with the convulsive episodes; LFS and sham stimulation showed multiple periods of continuous spikes which accompanied stage 5 or stage 4 seizures. HFS of unilateral or bilateral MD, but not LFS, decreased the seizure stage, the number of clonic movement episodes, and the duration of acute PTZ-induced seizures. The average latency to onset of myoclonic jerks did not differ among groups. Unilateral and bilateral HFS of the MD had a similar antiepileptic effect. ConclusionHFS of the MD may be of value as a new antiepileptic approach for patients with generalized epilepsy, besides, the seizure model, should be fully considered in clinical application.
Febrile seizure is one of the most common emergencies in children, accounting for about 30% of all types of children, and the most common among children aged 6 months to 5 years. At the same time, children in this age group are at the peak of growth and development, and the content of various trace elements in the body is prone to abnormalities. At present, there are few related studies on febrile seizure and trace elements in children. This paper summarizes the related studies on febrile seizure and trace elements in order to provide theoretical guidance for the prevention and treatment of febrile seizure
Epilepsy is a common chronic disease of the nervous system, which has certain adverse effects on the cognitive, psychological and social functions of the patients. To date, anti-seizure medications (ASMs) remain the first-line treatment option for epilepsy, but many patients with epilepsy still do not have effective seizure control when multiple ASMs are used in combination. Therefore, there is an urgent need for a new target and mechanism ASMs to bring about new treatment options and hope for patients with intractable epilepsy. Perampanel, a new third-generation ASMs, whereas second-generation ASMs tend to exert anti-seizure effects mainly by regulating ion channels or enhancing related mechanisms such as gamma-aminobutyric acid (GABA) effects, perampanel exerts its effects mainly by targeting the excitatory neurotransmitter glutamate. Perampanel is the first selective α-amino-3-hydroxy-5-methyl-4-isoxazole-propionate (AMPA) receptor antagonist and the first selective inhibitory ASMs for excitatory postsynaptic function. Because of its unique target and mechanism, it has been approved by many countries in the world for adjuvant additive therapy and monotherapy for patients with focal and general epilepsy. In addition, with the discovery of the neuroprotective, antioxidant, neurotransmitter regulation effects of perampanel, it also provides a new potential choice for the treatment of other diseases. This article mainly reviews the mechanism of action, pharmacokinetics, clinical trials and treatment of other diseases other than epilepsy of perampanel.
Seizures during sleep increase the probability of complication and sudden death. Effective prediction of seizures in sleep allows doctors and patients to take timely treatments to reduce the aforementioned probability. Most of the existing methods make use of electroencephalogram (EEG) to predict seizures, which are not specific developed for the sleep. However, EEG during sleep has its characteristics compared with EEG during other states. Therefore, in order to improve the sensitivity and reduce the false alarm rate, this paper utilized the characteristics of EEG to predict seizures during sleep. We firstly constructed the feature vector including the absolute power spectrum, the relative power spectrum and the power spectrum ratio in different frequencies. Secondly, the separation criterion and branch-and-bound method were applied to select features. Finally, support vector machine classifier were trained, which is then employed for online prediction. Compared with the existing method that do not consider the characteristics of sleeping EEG (sensitivity 91.67%, false alarm rate 9.19%), the proposed method was superior in terms of sensitivity (100%) and false alarm rate (2.11%). This method can improve the existing epilepsy prediction methods and has important clinical value.
Febrile seizures (FS) are one of the most common neurological disorders in pediatrics, commonly seen in children from three months to five years of age. Most children with FS have a good prognosis, but some febrile convulsions progress to refractory epilepsy (RE). Epilepsy is a common chronic neurological disorder , and refractory epilepsy accounts for approximately one-third of epilepsies. The etiology of refractory epilepsy is currently complex and diverse, and its mechanisms are not fully understood. There are many pathophysiological changes that occur after febrile convulsions, such as inflammatory responses, changes in the blood-brain barrier, and oxidative stress, which can subsequently potentially lead to refractory epilepsy, and inflammation is always in tandem with all physiological changes as the main response. This article focuses on the pathogenesis of refractory epilepsy resulting from post-febrile convulsions.
The postictal state which describes changes in behavior, motor function, and neuropsychological performance that occur after a seizure and persist until these variables return to their normal baseline, which can take anywhere from a few seconds to a few hours to a few days. The degree and intensity of the postictal state significantly affects the patient's quality of life and is strongly associated with the patient's rating of the severity of the seizure, but receives little attention in the treatment of epilepsy, and anti-seizure medications prevent postictal events by making the patient seizures-free, or will attenuate or shorten the time after the seizure. Therefore, it is of great clinical significance to evaluate the efficacy of anti-seizure medications in the post-seizure state. This article reviews the effects of the main anti-seizure medications on the postictal state
Objective To retrospectively analyze the epidemiology, clinical characteristics and causes of misdiagnosis of Juvenile myoclonic epilepsy (JME) in Xinjiang Uygur Autonomous Region, so as to provide basis for improving the diagnosis and treatment of JME. Methods 979 patients with epilepsy in Xinjiang Uygur Autonomous Region were analyzed retrospectively. There.were515males and 464females,average.age(18.66+8.31)years,.The epidemiological characteristics of JME were analyzed. The clinical characteristics, EEG, treatment effect and prognosis of patients diagnosed with JME were analyzed. The causes of misdiagnosis, missed diagnosis and delayed treatment were analyzed. Results The proportion of JME in 979 patients with epilepsy was 1.4%, a total of 14 cases. The median age of onset was (15+5.83) years, the median time from onset to treatment was 3 years, and the median time from onset to diagnosis was 6 years. All patients showed myoclonic seizures, 13 cases were complicated with generalized tonic clonic seizures, and 4 cases were accompanied by absence seizures. EEG findings include normal background activity, 3-6 Hz generalized spikes or frontal dominant multiple spikes at the beginning of arousal. seven patients were treated with levetiracetam, and the other seven patients were treated with lamotrigine and / or sodium valproate. Incomplete collection of medical history and failure to describe the medical history in detail are the main reasons for delaying diagnosis. Conclusion Juvenile myoclonic epilepsy is an treatable disease, but it is easy to be misdiagnosed. The rate of misdiagnosis and missed diagnosis of JME in Xinjiang is higher, and the delay of diagnosis and treatment is longer. The inquiry of more detailed and demonstrative medical history is of great significance to improve the diagnostic accuracy.