ObjectiveTo investigate the efficacy and safety of the phase Ⅰ corpus callosotomy in the treatment of adult refractory epilepsy. MethodsWe conducted a retrospective analysis of 56 adults with intractable epilepsy in Tangdu Hospital from January 2011 to July 2016.All patients were treated for the phase Ⅰ total corpus callosotomy, followed up 1~5 years after surgery. Results14 cases (25.0%) patients achieved complete seizure free after surgery, 19 cases (33.9%) whose seizures reduced more than 90%, 10 cases (17.9%) reduced between 50%~90%, 7 cases (12.5%) between 30%~50%, 6 cases (10.7%) decreased below 30%; Drop attacks of 47 cases (83.9%) patients disappeared. Postoperative complications occurred in 13 cases(23.2%), and most of them recovered well. 5 cases(8.9%) had long-term sensory disassociation, no serious complications and death. The percentage of patients reporting improvement in quality of life was 67.9%. ConclusionsFor patients with intractable epilepsy who can not undergo focal resection, Ⅰ phase total corpus callosotomy has a certain effect on reducing seizure frequency, eliminating drop attacks, and improving the quality of life.
ObjectiveTo explore the effects of cytokines on Febrile seizures (FS) in children with febrile seizures (Febrile seizures), febrile seizures duration and prognosis, and to explore the correlation between cytokines and the clinical manifestations and prognosis of FS. MethodsA retrospective analysis was performed on 121 children with FS (77 cases in the simple FS group and 44 cases in the complex FS group) who were treated in the pediatrics department of the Maternal and Child Health Hospital of Inner Mongolia Autonomous Region from January 2021 to October 2022 as the experimental group, including 71 males and 50 females, with a male-to-female ratio of 1.42:1, according to the type of attack (93 cases in the comprehensive group, 44 cases in the complex FS group). The focal group (28 cases) and convulsion duration (91 cases in <5 min group and 30 cases in ≥5 min group) were divided into groups, and 127 cases of children with fever but no convulsions were compared with the control group. In addition, 121 children with FS were followed up for 1 year by neurology specialist outpatient department and telephone follow-up. According to the follow-up, they were divided into the first course group, the relapse group and the secondary epilepsy group, so as to further explore the correlation between cytokines and the prognosis of children with FS. ResultsExperimental group compared with control group: Serum IL-1β (1.38 pg/mL), IL-2 (2.26 pg/mL), IL-4 (1.53 pg/mL), IL-6 (10.51 pg/mL), IL-10 (3.09 pg/mL), IL-12p70 (1.74 pg/mL), TNF-α (2.11 pg/mL), IFN-γ (46.56 pg/mL), IL-1β (1.38 pg/mL), IL-1β (1.26 pg/mL), IL-4 (1.53 pg/mL), IL-6 (10.51 pg/mL), IL-10 (3.09 pg/mL), IL-12P70 (1.74 pg/mL), TNF-α (2.11 pg/mL), IFN-γ (46.56 pg/mL). IFN-α (25.92 pg/mL) levels were higher, and the differences were statistically significant (P<0.05). There was no significant difference between the simple group and the complex group (P>0.05). <5 min group compared with control group: serum levels of IL-2 (2.32 pg/mL), IL-4 (1.53 pg/mL), IL-6 (9.65 pg/mL), IL-12p70 (1.74 pg/mL), TNF-α (2.11 pg/mL), IFN-γ (44.63 pg/mL), IFN-α (29.67 pg/mL) were higher, and the differences were statistically significant (P<0.05). Compared with control group, the levels of IL-2 (2.06 pg/mL), IL-6 (14.67 pg/mL), IL-12p70 (1.97 pg/mL), IFN-γ (58.56 pg/mL) and IFN-α (17.50 pg/mL) in ≥5 min group were higher, and the differences were statistically significant (P<0.05). ROC curve analysis showed that serum IFN-α had a high predictive value for FS onset, the cut-off point was 8.64pg/ml, and the sensitivity and specificity were 75.63% and 76.38%, respectively. There was no significant difference between the first course of disease group, relapse group and secondary epilepsy group. ConclusionSerum proinflammatory cytokines IL-1β, IL-2, IL-6, IL-12p70, TNF-α, IFN-γ, IFN-α and anti-inflammatory cytokines IL-4 and IL-10 are involved in the pathogenesis of FS. There was no correlation between the simplicity and complexity of serum cytokines. IL-2, IL-6, IL-12p70, IFN-γ, IFN-α were positively correlated with the duration of convulsion. When serum IFN-α>8.64 pg/ml, the possibility of FS attack increased.
In recent years, epileptic seizure detection based on electroencephalogram (EEG) has attracted the widespread attention of the academic. However, it is difficult to collect data from epileptic seizure, and it is easy to cause over fitting phenomenon under the condition of few training data. In order to solve this problem, this paper took the CHB-MIT epilepsy EEG dataset from Boston Children's Hospital as the research object, and applied wavelet transform for data augmentation by setting different wavelet transform scale factors. In addition, by combining deep learning, ensemble learning, transfer learning and other methods, an epilepsy detection method with high accuracy for specific epilepsy patients was proposed under the condition of insufficient learning samples. In test, the wavelet transform scale factors 2, 4 and 8 were set for experimental comparison and verification. When the wavelet scale factor was 8, the average accuracy, average sensitivity and average specificity was 95.47%, 93.89% and 96.48%, respectively. Through comparative experiments with recent relevant literatures, the advantages of the proposed method were verified. Our results might provide reference for the clinical application of epilepsy detection.
ObjectiveTo explore the clinical value of video-electroencephalograph (VEEG) for non-epileptic seizures disease in children. MethodsThe clinical data of 58 children with non-epileptic seizures (NES) diagnosed by VEEG from October 2010 to November 2012 were retrospectively analyzed. ResultsIn 50 out of 58 patients in the process of monitoring,the NES clinical onset was found while no synchronized epileptiform discharges was observed;in five patients with NES combined with epilepsy,no epileptiform discharges was found by VEEG at the clinical onset of NES;there were 3 patients with epileptiform discharges without seizures,who had no history of epilepsy,but non-synchronized clinical nonparoxysmal epileptiform discharges was found by VEEG monitoring. ConclusionVEEG is an effective diagnosis method for NES and seizures in children,which could be regarded as the gold standard for NES diagnosis.
ObjectiveTo analyze the clinical features of psychogenic non-epileptic seizures (Psychogenic nonepileptic seizures, PNES) in Tibetan population in Tibet, so as to help clinicians identify the disease.MethodsRetrospective analyzed the clinical data of patients with PNES in the Department of Neurology, People's Hospital of Tibet Autonomous Region from June 2016 to December 2018.ResultsIn general clinical data, there were significant differences between male and female patients in the results of video electroencephalogram (EEG) monitoring the non-epileptic seizures (P< 0.05). There were no significant differences in mean age, mean onset time, family history of epilepsy, head injury and marital status between male and female patients (P> 0.05). There was no significant difference in symptoms between male and female, but there were differences among different age groups (P> 0.05). In the onset age, the main manifestation was young women, but there was no significant difference in the onset of PNES among different age groups.ConclusionsThere was significant differences between male and female PNES petients, but no significant differences in onset time, marriage and family history of epilepsy between the male and female patients with PNES in Tibet. The clinical manifestations of PNES were different in different ages of patients in Tibet.
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.
Studies have shown that the clinical manifestation of patients with neuropsychiatric disorders might be related to the abnormal connectivity of brain functions. Psychogenic non-epileptic seizures (PNES) are different from the conventional epileptic seizures due to the lack of the expected electroencephalographically epileptic changes in central nervous system, but are related to the presence of significant psychological factors. Diagnosis of PNES remains challenging. We found in the present work that the connectivity between the frontal and parieto-occipital in PNES was weaker than that of the controls by using network analysis based on electroencephalogram (EEG) signals. In addition, PNES were recognized by using the network properties as linear discriminant nalysis (LDA) input and classification accuracy was 85%. This study may provide a feasible tool for clinical diagnosis of PNES.
Objective To explore the effects of propofol and thiopental sodium injection on convulsive seizure in electro-convulsive therapy(ECT) and to provide evidence to help the selection of intravenous anaesthetics in improved ECT. Methods Total of 111 patients who received ECT in the 3rd Pepole’s Hospital of Panzhihua from July to December 2005 were divided into a thiopental sodium group (n =62) and a propofol group (n =49). These patients received intravenous anaesthesia with suxamethonium plus thiopental sodium or propofol for the implementation of ECT, respectively. The status of convulsive seizure was compared between the two groups. Results There were no significant differences between the two groups in terms of main demographic data, disease category and ECT parameters (Pgt;0.05). Motor seizure and electricity discharge lasted significantly longer in the propofol group than in the thiopental sodium group (Plt;0.01). Conclusion Thiopental sodium can increase the excitation threshold of brain cortical neurons and decrease the level of convulsive seizure induced by ECT. Propofol may decrease the excitation threshold, and increase the level of convulsive seizure under the same ECT parameters, but may have the potential to induce epileptic seizure.
Epilepsy and sleep disorders are common health problems in the world, and sleep disorders as a common comorbidity of epilepsy patients, there are high prevalence, low attention rate, low treatment rate phenomenon. In addition, epilepsy and sleep disorders can affect each other, exacerbating the onset of their own symptoms. Therefore, timely identification and treatment of these comorbidities are crucial to improve patients' quality of life, increase daytime alertness and reduce the occurrence of seizures. This article reviews the effects of different anti-seizure programs on patients with epilepsy comorbidities sleep disorders, in order to provide references for how to better choose epilepsy treatment measures for these patients.
The electroencephalogram (EEG) has proved to be a valuable tool in the study of comprehensive conditions whose effects are manifest in the electrical brain activity, and epilepsy is one of such conditions. In the study, multi-scale permutation entropy (MPE) was proposed to describe dynamical characteristics of EEG recordings from epilepsy and healthy subjects, then all the characteristic parameters were forwarded into a support vector machine (SVM) for classification. The classification accuracies of the MPE with SVM were evaluated by a series of experiments. It is indicated that the dynamical characteristics of EEG data with MPE could identify the differences among healthy, inter-ictal and ictal states, and there was a reduction of MPE of EEG from the healthy and inter-ictal state to the ictal state. Experimental results demonstrated that average classification accuracy was 100% by using the MPE as a feature to characterize the healthy and seizure, while 99.58% accuracy was obtained to distinguish the seizure-free and seizure EEG. In addition, the single-scale permutation entropy (PE) at scales 1-5 was put into the SVM for classification at the same time for comparative analysis. The simulation results demonstrated that the proposed method could be a very powerful algorithm for seizure prediction and could have much better performance than the methods based on single scale PE.