Objective To explore the change of EEG waveform recorded by clinical EEG under different filtering parameters. Methods22 abnormal EEG samples of epilepsy patients with abundant abnormal waveforms recorded in Peking University first hospital were selected as the case group (abnormal group), and 30 normal EEG samples of healthy people with matched sex and age were selected as the control group (normal group). Visual examination and power spectrum analysis were then performed to compare the difference of wave forms and spectrum power under different settings of filter parameter between the two groups. ResultsThe results of visual examination show that, lower high-frequency filtering has an effect on the fast wave composition of EEG and may distort and reduce the spike wave. Higher low-frequency filtering has an effect on the overall background and slow wave activity of EEG and may change the amplitude morphology of some slow waves. The results of power spectrum analysis show that, Compare the difference between the EEG normal group and the abnormal group, the main difference under the settings of 0.5~70Hz was on the θ and α3 frequency band, different brain regions were slightly different. In the central region, the difference in the high frequency band (α3, γ1, γ2) decreases or disappears with the decrease of the high frequency filtering. In the rest of the brain, the difference in the δ band appears gradually with the increase of the low frequency filtering. Compare the difference between frontal area and occipital area under different filter set, for the normal group, under the settings of 0.5 ~ 70 Hz, the difference between two regions is mainly on the θ, γ1 and γ2 band. When high frequency filter reduces, the difference between two regions on high frequency band (γ1, γ2) are gradually reduced or disappeared. And when low frequency filter increases, the difference on δ band appears. For the abnormal group, the difference between frontal and occipital region under the settings of 0.5 ~ 70 Hz is mainly on γ1 and γ2 bands. When the high-frequency filter decreases, the difference between two regions on high-frequency bands are gradually decreased or disappeared. All the results can be corrected by FDR. ConclusionThe results show that the filter setting has a significant influence on EEG results. In clinical application, we should strictly set 0.5 ~ 70 Hz bandpass filtering as the standard.
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.
ObjectiveTo explore the clinical and video EEG features of patients with post-stroke epilepsy (PSE).MethodsThe clinical data of 68 patients with epilepsy after cerebral infarction and 33 patients with epilepsy after cerebral hemorrhage were analyzed retrospectively from January 2015 to June 2018 in the Affilated Hospital of Jining Medical University. There were 5 cases of early-onset epilepsy, and the rest were late-onset epilepsy. There were 68 cases of cerebral infarction (1 case showed post-infarction hemorrhagic transformation), 33 cases of cerebral hemorrhage; 51 females, 50 males (f∶m = 1.02∶1); the onset age was 45 ~ 101 years, with an average of (68.10 ± 10.26) years.ResultsThe time from seizure to stroke in 101 cases was (28.92 ± 35.61) months, 60 cases (59.40%) ≤ 1 year, 26 cases (25.74%) 1 ~ 5 years, and 15 cases (14.85%) 5 ~ 10 years. Post-stroke epilepsy had no relation to gender (P>0.05). The age of onset is mostly in 60 to 75 years old (62.38%). Seizure often happen within 1 year after stroke (59.4%). The type of attack is focal seizure (77.23%). Cortical infarction (77.94%), cerebral artery stenosis (83.82%), hypertension, diabetes, and atrial fibrillation are risk factors for epilepsy after infarction. The abnormal rate of EEG for PSE is 90.1%, which was manifested as slow wave in the lesion side, epileptic wave in the lesion side or contralateral side.ConclusionsThe location, duration, age and severity of cerebral artery stenosis in patients with PSE are closely related to the occurrence of seizure. VEEG plays an important role in the diagnosis, treatment and prognosis of epilepsy.
ObjectiveAicardi and Goutières syndrome was first reported as a rare hereditary encephalopathy with white matter involvement in 1984. Typical clinical manifestations include severe mental motor development retardation or regression, pyramidal and extrapyramidal symptoms and signs, epilepsy, microcephaly and frostbite.MethodsTo collect a case of patient who presented with convulsions 14 days after birth without obvious inducement. The child was diagnosed as epilepsy in the local hospital and the symptoms improved after treatment with antiepileptic drugs. At 4 months, the child presented nods and clenched fists, and was diagnosed as infantile spasm. After Adrenocorticotrophic hormone and drug treatment, the symptoms gradually improved. Due to upper respiratory track infection, the child was aggravated at the age of 1 year and 2 months, and then diagnosed as Aicardi-Goutières syndrome by video EEG, skull MRI, fundus and gene screening.ResultsSurgery and treatment with antiepileptic drugs significantly improved the symptoms of the child, and the pathological biopsy of the brain tissue supported the previous diagnosis.ConclusionsThe report of this case will help to improve the clinician's diagnosis and treatment of Aicardi-Goutières syndrome.
Epilepsy has been recognized as a brain network disorder. Therefore, functional MRI (fMRI)-based connectivity is an ideal technique for exploring the complex effects of epilepsy on the brain. Functional connectivity studies have provided insights into the physiopathogenesis of the epileptic network underlying focal epilepsies, genetic generalized epilepsy, and specific epileptic syndromes. An increasing number of studies have focused on the deleterious effects of epilepsy on other brain networks to help to explain cognitive deficits and psychiatric symptoms. Anti-epileptic treatment studies have yielded information about the side effects and the restoration of functional abnormalities after using the drug. Researchers who have examined predictors of surgical outcomes have suggested that there might be identifiable pre-surgical patterns of functional connectivity that are associated with a greater likelihood of positive cognitive or seizure outcomes. However, knowledge regarding the role of fMRI connectivity remains limited in clinical settings. Further validation through invasive investigations and follow-up studies is required for its reliable application in the clinical management of individual patients. (C) 2016 Published by Elsevier Ltd on behalf of British Epilepsy Association.
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.
It is an important means to study the electrical activity of the brain's nerve cells by exploring physiological information of the EEGs from the frequency domain. The gravity frequency is one of the global parameters with using this method. We used the multitaper spectrum method (MTM) spectrum estimation method of good performance to calculate the EEG spectrum and its gravity frequency of subjects under vigilance and vigilance decrement state. The results showed that the gravity frequency of vigilance state was higher than that of vigilance decrement state, the gravity frequency became smaller along with the vigilance decrement, and the location of the gravity frequency shifted to the left in the spectrum. Finally, the monitoring curve of the gravity frequency was acquired by designing an algorithm, and it was used to online monitoring vigilance operators.
ObjectiveTo explore changes on Electroencephalograph (EEG) and Evoked Potential (EP) changes in autoimmune encephalitis.MethodsEight cases with autoimmune encephalitis from Sichuan people's hospital during July 18th 2014 to July 18th 2016 were recruited. The inclusion criteria included:① The blood and cerebral spinal fluid (CSF) of patients were sent to Neurology Lab of Peking Union Medical College Hospital for autoimmunerelated antibody analysis and confirmed as autoimmune encephalitis.2 Patient had done at least 2 or more times of routine EEG or video EEG (VEEG). 1 or more times of auditory brainstem response (ABR), Visual evoked potential (VEP) and Somatosensory evoked potential (SEP) for both upper and lower limbs. 3 Patients had classical clinical manifestation of autoimmune encephalitis as abnormal psychomotor behaviors, seizures, memory loss, fever, headache, and even disturbance of consciousness or decreased ventilate function.ResulstOf 8 patients in this study, 5 were anti NMDA-R encephalitis, 2 were anti GABABR encephalitis, and 1 was positive for both antibodies. The EEG profile of 5 anti NMDA-R encephalitis:2 of them had β wave in early stage (about 10th day) and δ wave with fast wave even appeared as δ brush in middle stage (about 20th day). They all had severe symptoms and long hospitalization but negative MRI. Another 2 of them could be seen sparsely distributed sharp wave and sharp-slow wave in their EEG. Their EEG gradually turned to normal when their symptoms gradually disappeared. The last one had normal EEG during the whole disease course. The EEG profile of anti GABAB-R encephalitis as following. 1 was dominant by slow wave and EEG went normal after effective treatment and the other showed generalized α wave especially α wave in frontal region. The latter patient withdraw treatment. For the only 1 both antibodies positive patient, EEG showed slow wave and it turned to normal when symptoms disappeared. EP showed some abnormalities with wave amplitude and latency changes in some patients.EP (SEP、VEP) turned to normal when symptoms disappeared.ConclusionThe EEG present differently in different types of autoimmune encephalitis and change with stages of disease. EEG may be used as an indicator for prognosis as well. When EEG shows fast wave with the history of patient points to encephalitis, blood and CSF antibodies for NMDA-R should be checked routinely. Generalized α wave on EEG should also be an indicator for checking GABAB-R. More researches should be done for EP changes in autoimmune encephalitis for our study was based on a small patient number.
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.