Epilepsy, as one of the most common brain network disorders in clinical practice, is characterized by recurrent, episodic, transient, and stereotyped clinical manifestations, and often presents with various comorbid conditions. Microstate analysis is an emerging EEG analysis technique that serves as a large-scale brain network analysis method based on the clustering of EEG topographic maps. It has been commonly used in brain network research for various neurological and psychiatric disorders. In recent years, EEG microstate analysis has also been gradually applied to the study of epileptic brain networks, potentially providing new insights into the mechanisms of epilepsy, seizure prediction, diagnosis and treatment, prognosis, and the assessment of comorbidities.
Objective To summarize and analyze the clinical and video-EEG (VEEG) characteristics of adult sleep-related epilepsy, so as to provide evidence for clinical diagnosis, differential diagnosis and treatment. Methods The clinical data, routine EEG and long-term VEEG of 187 adult patients with sleep-related epilepsy treated in Department of Neurology, Xiangya Hospital, Central South University from January 2017 to December 2017 were retrospectively analyzed by χ2 test. Results Clinical manifestations: The duration of sleep-related epilepsy in 187 adults was concentrated in 1～10 years (101 cases, 54.01%); the frequency of seizures was mainly from several to dozens of times a year (99 cases, 52.94%); 119 cases (63.64%) had two or more types of seizures. Among the patients, 121 cases (39.29%) had focal origin, 152 cases (49.35%) had bilateral tonic clonus and 110 cases (58.82%) were treated with two or more drugs. EEG results: ① The detection rate of epileptiform discharges in routine EEG was 22.78%, and that in long-term video EEG was 80.43%. There was significant difference between the two methods (P< 0.01); ② Eighteen epileptiform discharges were monitored by routine EEG during interparoxysmal period and 111 epileptiform discharges were monitored by video EEG; and ③ Fifty-six epileptic events were monitored and all occurred in the process of long-term VEEG monitoring, 50 of them occurred in sleep (89.29%) and 6 in awake (10.71%); 45 cases (80.36%) were diagnosed as epileptic seizures, 9 cases (16.07%) were diagnosed as non-epileptic seizures, and 2 cases (3.57%) could not be determined. ④ The detection rate of epileptic discharges during sleep was higher than that during awake period in long-term VEEG monitoring (P< 0.01). The detection rate of epileptiform discharges in NREM stage I–II was the highest in sleep stage. Conclusion Sleep-related epilepsy in adults has certain clinical features and EEG manifestations. Compared with conventional EEG, long-term video-EEG can improve the detection rate of epileptiform discharges, provide diagnostic basis for the qualitative analysis of sleep-related seizures, and reflect the relationship between epileptiform discharges and sleep, and provide basis for the clinical diagnosis and treatment of sleep-related epilepsy in adults.
Objective To explore how to differentiate the epilepsy and syncope in order to minimize the misdiagnosis. Methods Retrospectively analyzed the medical record of 6 cases which were misdiagnosed as epilepsy or syncope during April 2008 to September 2012 and reviewed the literatures about the differential diagnosis. Results Among the clinical characteristics, the ictal positional tone and loss of consciousness as well as the duration of postictal confusion are very important to the differential diagnosis. The ictal EEG shows highly rhythmic abnormal discharges when epileptic seizures occur. However, the ictal EEG would become slower and flatler during syncope. Conclusions When the automomic disorder and signs such as chest distress, arrhythmia. appear, the causes should not be limited in the cardiac diseases, the functional or structural abnormalities of the nervous system innervating the heart should also be considered; on the contrary, convulsions might not only due to the abnormal electrical activity in the brain, but syncope.
ObjectiveTo probe the clinical features and the characteristics of radiography and electroencephalogram (EEG) of tuberous sclerosis complex(TSC) in children with epilepsy. MethodsThe clinical data of the TSC cases with epilepsy were collected from inpatients in Jiangxi Children's Hospital from Jan. 2013 to Oct. 2015. ResultsAmong the 26 cases, 21 cases(21/26, 80.77%) involved abnormalities of the skin. Of these patients, there were 10 cases with hypomelanotic macules, 7 cases with café au lait spots and 4 cases with facial angiofibromas. There were no significant difference among the different age groups. In addition, there were 8 cases (8/26, 30.77%) with spasm seizures, of whom 3 cases had partial seizure, 10 cases (10/26, 38.46%) with complex partial seizure, 5 cases(5/26, 19.23%) with secondary generalized seizure, 2 cases(2/26, 7.69%) with tonic-clonic seizure and one case with Lennox-Gastaut syndrom(1/26, 3.85%). The average onset age of the epileptic spasms group were younger than those of the other epilepsy groups (t=2.143, P=0.042). EEG monitoring demonstrated hypsarrhythmia in 7 cases (7/26, 26.92%) in the interictal EEG, focal epileptic discharges in 11 cases (11/26, 42.31%), multifocal discharges in 5 cases, the slow background activity in 2 cases and the normal EEG in one case. Cranial imaging demonstrated subependymal nodules (SEN) in 25 cases(25/26, 96.15%) was the most common. ConclusionThe clinical manifestations and seizure types of TSC in children, especially in infants and young children, were diverse and age-dependent. It was very important to improve understanding of the clinical features and related risks of TSC at various ages, which was helpful to diagnose TSC early.
ObjectiveTo investigate the lateralization of ictal scalp EEG in different times in focal epilepsy.Methods356 surface ictal EEG of 41 patients were reviewed retrospectively in focal epilepsy arising from the mesial frontal, lateralfrontal, mesialtemporal, neocorticaltemporal, insular lobes and posterior cortex from July, 2010 to at, 2016. Each ictal scalp EEG was subdivided into ten epoches (E1-E10), then the lateralization of every epoch was analyzed. Ten epochs EEG were merged into three timesas E1-E3, E4-E6 and E7-E10. The ratio of lateralization, mislateralization and non-lateralization of each timeEEG were studied. Ictal onset zone (IOZ) were precise localized by intracranial EEG. The results of epileptogenic zone corresponded with surgical outcomes as seizure free or decreased.Results62% seizures were lateralized by surface ictal EEG in all epilepsies. Lateralized ictal scalp EEG were seen in nearly 80% of seizures in all times in temporal lobe epilepsy (TLE). The highest lateralization of 89% occurred inE4-E6 andfalse lateralization up to 30% in E1-E3 in mesial temporal lobe epilepsy (MTLE), whereas 95% lateralized seizures emerged in E1-E3 in neocortical temporal lobe epilepsy (NTLE). Apparent non-lateralization in all times were higher than lateralization in frontal lobe epilepsy (FLE), especially in mesial frontal lobe epilepsy (MFLE). Lateralization in E1-E3 was only 24% higher than other times. In addition, False lateralization never occurred in all times in lateral frontal lobe epilepsy (LFLE). There were maximum of 83%lateralized seizures in E1-E3 in LFLE and 93% in E1-E3 in posterior cortex epilepsy (PCE). Seizures arising from insular lobe epilepsy (ILE) tendedto predict less lateralization in all times.ConclusionsIctal scalp EEG of E1-E3 are valuable in the lateralization in all epilepsies particularly in LFLE, NTLE and PCE. Lateralized E4-E6 and E7-10 are very useful in MTLE.
ObjectiveVideo electroencephalography (VEEG) monitoring for health education of elderly patients based on a process-based communication model, and explore the impact of this model on the success rate, negative emotions, nursing satisfaction, and active cooperation rate of such patients.MethodsFrom September 2017 to September 2019, 118 patients with suspected epilepsy, encephalitis and other diseases who required VEEG monitoring in Suining Central Hospital were selected for this study (patients aged 61 to 73 years; 54 males and 64 females). Patients were divided into 2 groups using a random number table method, 59 patients in each group.A group received routine nursing, and B group received health education based on the process communication model. The monitoring success rate, negative emotion, active cooperation rate, and nursing satisfaction were compared between the two groups.ResultsThe total effective rate in the B group was 86.44%, which was significantly higher than 76.27% in the A group (P<0.05). After nursing intervention, the scores of anxiety and depression in the two groups were significantly decreased, but the decline was greater in the B group (P<0.05). The active cooperation rate and nursing satisfaction of the B group were significantly higher than those of the A group (P<0.05).ConclusionCompared with conventional nursing, health education based on process communication mode can significantly improve the success rate of VEEG monitoring in elderly patients, alleviate the negative emotions of patients, improve the active cooperation rate and nursing satisfaction.
Electric and electronic products are required to pass through the certification on electrical safety performance before entering into the market in order to reduce electrical shock and electrical fire so as to protect the safety of people and property. The leakage current is the most important factor in testing the electrical safety performance and the test theory is based on the perception current effect and threshold. The traditional method testing the current threshold for perception only depends on the sensing of the human body and is affected by psychological factors. Some authors filter the effect of subjective sensation by using physiological and psychological statistical algorithm in recent years and the reliability and consistency of the experiment data are improved. We established an experiment system of testing the human body's current threshold for perception based on EEG feature analysis, and obtained 967 groups of data. We used wavelet packet analysis to detect α wave from EEG, and used FFT to do spectral analysis on α wave before and after the current flew through the human body. The study has shown that about 97.72% α wave energy changes significantly when electrical stimulation occurs. It is well proved that when the EEG feature identification is applied to test the human body current threshold for perception, and meanwhile α wave energy change and human body sensing are used together to confirm if the current flowing through the human body reaches the perception threshold, the measurement of the human body current threshold for perception could be carried out objectively and accurately.
Objective To investigate the clinicalmanifestations, electroencephalogram (EEG) characteristics, surgical treatment and prognosis of epilepsy secondary to Sturge-Weber syndrome (SWS) in children.Methods The data of 7 children with epilepsysecondaryto Sturge-Weber syndrome who were treated by surgery from May 2015 to May 2020 in our Children's Epilepsy Center were retrospectively reviewed. Their demographic characteristics, seizure forms, results of EEG and cranial imaging investigations, surgical methods, postoperative pathological reports and prognosis during follow-upwere summarized and analyzed. The prognosis were evaluated byEngel classificationat the last time point during follow-up. Results Totally 7 pediatric patients were enrolled, including 1 male (16/25, 64.0%) and 6 females.All the 7 cases presented with focal seizures at the onset among whom 2 cases developed status epilepticus during the course of the disease(epilepsiapartialiscontinuain 1 case),one case had epileptic spasmsand 1 case was characterized by cluster seizures. The interictal EEG manifestations of the cases gradually deteriorated as the course of the disease prolonged, including the slow wave on the affected side gradually increases (7/7), the amplitude gradually decreases (7/7), and the physiological wave disappears (4/7). Besides, no epileptiform discharges/incidental or a few epileptiform dischargeswere found in their interictal EEGs. Four cases underwent hemispherotomy, 1 case underwent temporo-parieto-occipital disconnection and 2 cases underwent lesion resection. The cases were followed up for 6 months to 5 years, and the average follow-up duration was 79.29 months. Six cases were rated as Engel Ⅰa during the regularfollow-up. Only 1 case was rated asEngel Ⅱ and Engel Ⅲ at 3 month and 1 year after the operation. ConclusionChildren with epilepsy secondary to SWS usually present with focal seizures and have diverse seizure forms. The EEG show characteristic changes. For the caseswith drug refractory epilepsy, detailed preoperative evaluation and reasonable surgical methods can result in a better therapeutic effect.
ObjectivesPost-encephalitic epilepsy could be of great chance of pharmaco-resistant, even surgery may not achieve seizure free. The aim of this study is to mapping epileptogenic area of pharmaco-resistant post-encephalitic temporal lobe epilepsy, to find whether "temporal plus" epilepsy is the main type and its surgery outcome, based on stereo-EEG(SEEG) study.MethodWe retrospectively studied 15 patients with pharmaco-resistant temporal lobe epilepsy. Scalp EEG, seizure semiology, MRI, FDG-PET, and SEEG were reviewed for all patients. According to epileptogenic area which was analysed by SEEG, 15 patients were divided into 2 groups, temporal lobe epilepsy(TLE) group and temporal plus epilepsy(TPE) group. Clinical characteristics were compared with each group, by t-test or Fisher exact test when data needed.ResultsThere were 8 patients in TLE group, with 6 mesial TLE, 1 lateral TLE, 1 mesial-lateral TLE. And 7 patients in TPE group. Age of seizure onset (P=0.548), duration of epilepsy (P=0.099), age of remote encephalitis (P=0.385), type of semiology (P=0.315) and lateralization of MR lesions (P=1.000), interictal FDG-PET hypometabalism (P=1.000) or intracranial implantation (P=0.619) were of no statistically difference between TLE group and TPE group. Surgery was performed in all patients. Better outcome was obtained in TLE group(5/8 class Ⅰ), and poor was in TPE group(3/7class Ⅰ).ConclusionMesial-TLE and temporal plus epilepsy were common types of pharmaco-resistant post-encephalitic TLE. There was no way to differentiate clinically, except by SEEG. Mesial-TLE had a better outcome after surgery, but temporal plus epilepsy did not.