• BMB Reports
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• 제44권9호
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• pp.566-571
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• 2011

Although the phospholipase C (PLC)${\beta}$-1 isoform is associated with spontaneous seizure and distinctively expressed in the telencephalon, the distribution of PLC${\beta}$-1 expression in the epileptic gerbil hippocampus remains controversial. Therefore, we determined whether PLC${\beta}$-1 is associated with spontaneous seizure in an animal model of genetic epilepsy. In the present study, PLC${\beta}$-1 immunoreactivity was down-regulated in seizure-sensitive (SS) gerbils more than in seizure-resistant (SR) gerbils. The expression of PLC${\beta}$-1 within calretinin (CR)-positive neurons was rarely detected within the dentate hilar region of SS gerbils. PLC${\beta}$-1 immunoreactivity in the hippocampus was significantly elevated as compared to that in pre-seizure SS gerbil 3 h post-ictal. These findings suggest that alterations in PLC${\beta}$-1 immunoreactivity in the SS gerbil hippocampus may be closely related to the epileptic state of the gerbil brain and transiently elevated PLC${\beta}$-1 protein levels following seizure episodes. Such alterations may be compensatory responses in the SS gerbil hippocampus.

• 대한의용생체공학회:의공학회지
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• 제36권5호
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• pp.169-176
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• 2015

Implantable closed-loop epilepsy controllers require ideally both accurate epileptic seizure detection and low power consumption. On-chip oscillators can be used in implantable devices because they consume less power than other oscillators such as crystal oscillators. In this study, we investigated the tolerable error range of a lower power on-chip oscillator without losing the accuracy of seizure detection. We used 24 ictal and 14 interictal intracranial electroencephalographic segments recorded from epilepsy surgery patients. The performance variations with respect to oscillator frequency errors were estimated in terms of specificity, modified sensitivity, and detection timing difference of seizure onset using Generic Osorio Frei Algorithm. The frequency errors of on-chip oscillators were set at ${\pm}10%$ as the worst case. Our results showed that an oscillator error of ${\pm}10%$ affected both specificity and modified sensitivity by less than 3%. In addition, seizure onsets were detected with errors earlier or later than without errors and the average detection timing difference varied within less than 0.5 s range. The results suggest that on-chip oscillators could be useful for low-power implantable devices without error compensation circuitry requiring significant additional power. These findings could help the design of closed-loop systems with a seizure detector and automated stimulators for intractable epilepsy patients.

• Annals of Clinical Neurophysiology
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• 제4권1호
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• pp.16-20
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• 2002

Background and Objective : Epileptic seizures are frequent complication of lobar hemorrhage. We investigated the factors affecting development of epilepsy following spontaneous lobar ICH. Methods : From January 1986 to July 1999, 114 patients were admitted to Chungnam National University Hospital with spontaneous lobar ICH. We analyzed 75 patients. Excluded were no follow-up(8 patients) and patients died within few days(31 patients). All the patient was followed up at least two years aside from two patients who underwent epileptic seizure and died five and eight months later each. Medical history was obtained through medical record and by telephone interview. Statistical analyses were performed using Chi-square test, Student's t - test, Fisher's exact test. Results : Seizure occurred in 19 patients. As three patients had previous history of seizures, 16 patients(22.2%) showed first onset early- and late-seizures. Early seizure occurred in 14 patients(19.4%). Three out of 14 were heavy alcoholics. Five patients developed late recurrent seizure 61 days to 800 days after the early seizure. Late seizure with no acute seizure occurred in two patients. The types of seizure were diverse as generalized tonic clonic seizure(10), partial seizure with secondary generalization(5), and complex partial seizure(1). The common risk factors for lobar ICH were hypertension(HT), arteriovenous malformation(AVM), and excessive use of alcohol. We could not find any causes in 23 patients. Although size of hematoma, age of onset, sex, incidence of HT or AVM were not different between patients with seizure and without seizure, the history of excessive alcohol drinking was more frequent in patients with seizure. Five patients with late recurrent seizure had ICH involving temporal area. Conclusions : This study suggests that the risk of seizure in patients with lobar ICH was increase in chronic alcoholics and patient with late recurrent seizure had ICH frequently involving temporal area.

• Journal of Electrical Engineering and Technology
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• 제9권3호
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• pp.1060-1071
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• 2014

Signals of the Electroencephalogram (EEG) can reflect the electrical background activity of the brain generated by the cerebral cortex nerve cells. This has been the mostly utilized signal, which helps in effective analysis of brain functions by supervised learning methods. In this paper, an approach for improving the accuracy of EEG signal classification is presented to detect epileptic seizures. Moreover, Independent Component Analysis (ICA) is incorporated as a preprocessing step and Short Time Fourier Transform (STFT) is used for denoising the signal adequately. Feature extraction of EEG signals is accomplished on the basis of three parameters namely, Standard Deviation, Correlation Dimension and Lyapunov Exponents. The Artificial Neural Network (ANN) is trained by incorporating Levenberg-Marquardt(LM) training algorithm into the backpropagation algorithm that results in high classification accuracy. Experimental results reveal that the methodology will improve the clinical service of the EEG recording and also provide better decision making in epileptic seizure detection than the existing techniques. The proposed EEG signal classification using feed forward Backpropagation Neural Network performs better than to the EEG signal classification using Adaptive Neuro Fuzzy Inference System (ANFIS) classifier in terms of accuracy, sensitivity, and specificity.

• 대한한방소아과학회지
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• 제28권1호
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• pp.61-70
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• 2014

Objectives The purpose of this study is to report three cases of epileptic children who were treated by oriental medicine. Methods Three epileptic children were treated by Gwakhyangjeonggi-san and Kuibiondam-tang. Two children had took combination therapy; anti-epilepsy drugs and oriental medicines and the other one took only oriental medicines. We measured frequency and intensity of seizure, and observed general conditions. Results The oriental medicine treatment is not only reducing seizures, but also improving general condition like digestion, constipation and reducing frequency of common cold and symptom of rhinitis. Conclusions Epilepsy in childhood is induced by various factor like Fung (風), Dam (痰), Sik (食), Kyung (驚). We administrated oriental medicine and prevented seizures.

• Clinical and Experimental Pediatrics
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• 제50권8호
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• pp.726-731
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• 2007

This review describes the wide spectrum of paroxysmal events during sleep in infancy and childhood. The differential diagnosis between sleep-related non-epileptic paroxysmal events and epileptic seizures is difficult in special occasions. The nocturnal frontal lobe seizure and of the more common nonepileptic paroxysmal events during sleep are described. The main differentiating features characterizing parasomnias are: onset in early childhood, rare episodes of long duration, relatively lower frequency per night, absence of stereotypy, gradual disappearance of older age. Video-polysomnography is the gold standard to diagnosing and differentiating parasomnias from nocturnal frontal lobe seizures.

• Annals of Clinical Neurophysiology
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• 제17권2호
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• pp.80-81
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• 2015

Syncopes are the most common non-epileptic attacks mimicking epileptic seizures. Among them, cardiogenic syncope is potentially life threatening. A 49 year old man was refered for the recurrent episodes of loss of consciousness with tonic posture and upward eyes deviation. The electrocardiogram showed polymorphologic ventricular tachycardia during attacks, which normalized after that. He was treated with isoproterenol and symptoms subsided. Here, we report a case of ventricular tachycardia manifested as epileptic seizures.

• Journal of Multimedia Information System
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• 제2권2호
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• pp.215-222
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• 2015

Epileptic Seizure is a popular brain disease in the world. It affects the nervous system and the activities of brain function that make a person who has seizure signs cannot control and predict his actions. Based on the Electroencephalography (EEG) signals which are recorded from human or animal brains, the scientists use many methods to detect and recognize the abnormal activities of brain. Tucker model is investigated to solve this problem. Tucker decomposition is known as a higher-order form of Singular Value Decomposition (SVD), a well-known algorithm for decomposing a matric. It is widely used to extract good features of a tensor. After decomposing, the result of Tucker decomposition is a core tensor and some factor matrices along each mode. This core tensor contains a number of the best information of original data. In this paper, we used Tucker decomposition as a way to obtain good features. Training data is primarily applied into the core tensor and the remained matrices will be combined with the test data to build the Tucker base that is used for testing. Using core tensor makes the process simpler and obtains higher accuracies.

• Annals of Clinical Neurophysiology
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• 제9권2호
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• pp.63-68
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• 2007

The EEG plays an important diagnostic role in epilepsy and provides supporting evidence of a seizure disorder as well as assisting with classification of seizures and epilepsy syndromes. There are a variety of electroclinical syndromes that are really defined by the EEG such as Lennox-Gastaut syndrome, benign rolandic epilepsy, childhood absence epilepsy, juvenile myoclonic epilepsy and also for localization purposes, it is vitally important especially for temporal lobe epilepsy. The sensitivity of first routine EEG in diagnosis of epilepsy has been known about 20-50%, but this proportion rises to 80-90% if sleep EEG and repetitive recording should be added. Convincing evidences suggest that the EEG may also provide useful prognostic information regarding seizure recurrence after a single unprovoked attack and following antiepileptic drug (AED) withdrawal. Moreover, patterns in the EEG make it possible to disclose an ictal feature of nonconvulsive status epilepticus, separate epileptic from other non-epileptic episodes and clarify the clues predictive of the cause of the encephalopathy (i.e., triphasic waves in metabolic encephalopathy). Therefore, regardless of its low sensitivity and other pitfalls, EEG should be considered not only in the situation of new onset episode such as a newly developed, unprovoked seizure or a condition manifesting decreased mentality from obscure origin, but also as a barometer of the long-term outcome following AED withdrawal.

• 정신신체의학
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• 제4권1호
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• pp.64-70
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• 1996

The prevalence rate of psychiatric symptoms of the refractory epileptic patients was evaluated according to the location of the epileptic focus. The subjects were 91 patients admitted to Epilepsy Monitoring Unit of Seoul National University Hospital. The psychiatric symptoms were assessed by Korean version of Symptom Checklist-90-R(SCL-90-R). The locus of epileptic focus was assessed by clinical features, 2-hour interictal EEG, long-term video-EEG monitoring, brain MRI, interictal and ictal brain SPECT, and interictal brain PET The subjects were divided into three groups according to the epileptic focus, non-temporal(N=29), left temporal (N=26), and right temporal(N=32). There were no statistical differences in demographic and seizure-related variables among groups. The number of patients with $T-score {\geq} 65$ at any subscale of the SCL-90-R were compared by $X^2-test$ among groups. The mean T-scores of each subscale of the SCL-90-R were compared by oneway-ANOVA among groups. The prevalence rate of psychiatric symptoms of the refractory epileptic patients was 38.5%. There was no statistical difference in the prevalence rate of psychiatric symptoms among groups. However, the patients with non-temporal or right temporal epileptic foci showed statistically significant higher mean T-scores of interpersonal sensitivity, depression, hostility, and phobic subscales than the patients with left temporal epileptic foci. These results suggest that the epileptic focus plays an important role in the production of interictal psychiatric symptoms of the refractory epileptics.