ObjectiveTo analyze and summarize the clinical and video EEG (VEEG) characteristics of tuberous sclerosis (TSC) with epilepsy.MethodsClinical data of 30 children with TSC who met the revised diagnostic criteria of TSC in 2012 from Jan. 2016 to May 2019 in Zhengzhou Children’s Hospital were collected, including 29 children with epileptic seizures. The characteristics of skin lesions, imaging, seizures and long-term VEEG were analyzed retrospectively.ResultsThe mean age was (2.88 ± 2.64), 12 males and 18 females, 1 case of lumbar acid as the first symptom, 29 cases with epilepsy as the first symptom, the incidence of epilepsy is high, and the onset age is less than 1 year old; TSC can cause different degrees of cognitive impact; depigmentation or milk coffee spots are the most common skin changes in young children; TSC with infantile spasm has a high incidence; children younger than 10 years old may have lesions of other organs except nervous system lesions. However, the incidence of other organ lesions was relatively low. Most of TSC children with epilepsy were accompanied by abnormal EEG discharge.ConclusionThe clinical characteristics of TSC with epileptic seizures are various, and early diagnosis is of great significance.
ObjectiveTo analyze the effect of mitochondrial ultrastructural changes caused by morphine toxicity on abnormal discharge of cat cerebral cortex, and to explore the possible mechanism of brain function damage caused by morphine dependence.MethodsTwelve domestic cats were divided into control group (3 cats) and morphine exposed group (9 cats) according to the method of random number table. After the model was successfully established by the method of dose increasing, the changes of mitochondrial ultrastructure of cortical neurons were observed under the electron microscope.ResultsElectroencephalogram (EEG) monitoring in morphine exposed group showed that the cortical EEG was widely abnormal, physiological waves were reduced, and abnormal discharges were frequent. And the electron microscopy showed that the number, morphology, internal membrane structure and the inclusion body in the matrix of neurons changed in various aspects. The EEG and electron microscopy of the control group were normal.ConclusionMorphine can damage neurons in the cerebral cortex and lead to abnormal discharge, which is closely related to the ultrastructural changes of neuron mitochondria. The toxicity of morphine mitochondria can be the initial mechanism of energy metabolism dysfunction of brain cells and eventually lead to the disorder of brain electrophysiological function.
ObjectiveThe purpose of the research is to study the distribution and early warning of electroencephalogram (EEG) in acute mountain sickness (AMS). MethodsA total of 280 healthy young men were recruited from September 2016 to October 2016. The basic data were collected by the centralized flow method, the general situation of the division of the investigators after the training, the Lewis Lake score, the computer self-rating anxiety scale and depression scale, and the collection of EEG. Follow up in three months. Results94 of the patients with AMS, morbidity is 33%, 21 (22.34%) of the patients are moderate to severe, 73 (77.66%) are mild, morbidity is 26.67%. The abnormal detection rate of electrogram was 7.9% (22/280), which were mild EEG, normal EEG abnormal rate was 8.6% (16/186), abnormal detection rate of mild AMS was 4.1% (3/73), and the abnormal detection rate was 14.3% (3/21) in the medium / heavy AMS. The latter was significantly different from the previous (P < 0.05). Three months follow-up of this group of patients with 0 case of high altitude disease. Conclusions The EEG in AMS is mainly a rhythm irregular, unstable, poor amplitude modulation; or two hemisphere volatility difference of more than 50% or slightly increased activity. The result is statistically significant, suggesting that EEG distributions has possible early warning of AMS.
To accurately capture and effectively integrate the spatiotemporal features of electroencephalogram (EEG) signals for the purpose of improving the accuracy of EEG-based emotion recognition, this paper proposes a new method combining independent component analysis-recurrence plot with an improved EfficientNet version 2 (EfficientNetV2). First, independent component analysis is used to extract independent components containing spatial information from key channels of the EEG signals. These components are then converted into two-dimensional images using recurrence plot to better extract emotional features from the temporal information. Finally, the two-dimensional images are input into an improved EfficientNetV2, which incorporates a global attention mechanism and a triplet attention mechanism, and the emotion classification is output by the fully connected layer. To validate the effectiveness of the proposed method, this study conducts comparative experiments, channel selection experiments and ablation experiments based on the Shanghai Jiao Tong University Emotion Electroencephalogram Dataset (SEED). The results demonstrate that the average recognition accuracy of our method is 96.77%, which is significantly superior to existing methods, offering a novel perspective for research on EEG-based emotion recognition.
Purpose To analyze the clinical characteristicsand prognostic factors of Status epilepticus (SE) in children. Methods The clinical data of 33 children with SE treated in Jinan Central Hospital Affiliated of Shandong University from January 2014 to June 2021 were collected, and their clinical characteristics were analyzed. Then, according to Glasgow prognosis scale, the children were divided into good prognosis group (n=20) and poor prognosis group (n=13). The age of first attack, duration of attack, type of attack and SE classification, EEG, cranial imaging and etiology were used to analyze the influencing factors of SE prognosis. Results 75.7% were 0 ~ 6 years old in the age of first attack, and 29 cases of convulsive status epilepticus accounted for 87.9% in the classification of seizure types. There were significant differences in age of first attack, duration of attack, EEG, history of mental retardation and etiology between the two groups (P<0.05); Logistic regression analysis showed that the age of first attack, duration of attack, history of mental retardation and EEG were independent factors affecting the prognosis. Conclusion Low age, especially ≤ 6 years old, is the high incidence of SE in children at first attack. Most children are symptomatic and have obvious incentives. Convulsive SE is the main type of SE in children. The age of first onset, duration of epilepsy, history of mental retardation, and EEG can affect the prognosis of SE.
ObjectiveTo investigate the clinical features and changes of EEG in children with late onset epilepsy spasm. MethodsThe clinical data, treatment, follow-up and outcome of 13 patients with late-onset epilepsy spasms were analyzed retrospectively from June 2010 to August 2015 in Bo ai Hospital of Zhong Shan City.Affiliated Southern Medical University ResultsThirteen cases of children were enrolled in the group, including 9 males and 4 females, the onset of age were 1 year 3 months to 5 years 7 months, duration of treatment were 1 year 5 months to 4 years 8months.Seven cases of children had clear cause in 13 patients: 2 cases of viral encephalitis, 3 cases of HIE, 1 case of neonatal sepsis, ARDS, and 1 case of methylmalonic acid hyperchomocysteinemia.Six cases did not clear the cause.Spasm is still the main type of Seizures.Seven cases had seizures with partial origin.the most onset time were awake period and wake up for the time, and coexisted with other types of seizures.EEG in Epileptic seizures period was a broad range of high amplitude slow wave, slow bursts, complex or non-composite low amplitude fast wave, sometimes with the burst after the voltage attenuation of a few seconds, string or isolation occurs.Synchronous bilateral deltoid EMG monitoring showed bilateral or unilateral synchronous EMG 1 ~ 2s Bilateral or unilateral synchronous EMG outbreak1-2s.Intermittent EEG showed multifocal and extensive epileptic discharge, still sharp (spine) slow wave continuous release based.Treatment: All children underwent ACTH or methylprednisolone immunoregulation treatment, 3 cases underwent ketone diet therapy.At the same time choice valproic acid, topiramate, clonazepam, lamotrigine, levarabesilan and other anti-broad-spectrum antiepileptic drugs, according to the history.all children were taken in combination with the way.Prognosis: 13 patients'seizures reduced or controled after the end of the ACTH or methylprednisolone immunotherapy course.followed-up 3 to 12 months, the clinical attack control were failed 3 cases had relatively good prognosis, treated with Ketogenic diet (Lasted for 1 year 3 mothes~2 years 5 mothes), one case of attack control, mental improvement significantly, Another 2 cases, the numbers of episodes were reduced and the level of intelligence were significantly improved. ConclusionPerinatal factors and acquired brain injury are the most common cause of pathogenesis.Spasm as a major form of attack, and other forms of coexistence.EEG is not typical of high degree of performance.Simultaneous EMG monitoring shows bilateral or unilateral synchronous EMG outbreaks.The treatment of various antiepileptic drugs were ineffective.The vast majority of patients developed refractory epilepsy.Ketogenic diet treatment may be a relatively good choice.
ObjectiveWe report two family and one sporadic case with dyssynergia cerebellaris myoclonica, investigate the clinical and neural electrophysiological features. MethodsThe proband and sporadic patient was examined by clinical, neuroimaging, video-EEG and synchronous electromyography. ResultsThere were 6 patients with dyssynergia cerebellaris myoclonica of the 27 family members in the first family(3 male and 3 female). There were 4 patients with dyssynergia cerebellaris myoclonica of the 20 family members in the second family(2 male and 2 female). All patiens had disproportionately myoclonus, epilepsy and progressive cerebellar ataxia. EEG showed bursts of spike-slow wave, polyspilke-slow wave distributing in the bilateral brain both in ictal and interictal period, sometimes it is especially in central, parietal and frontal area. EEG showed bursts of spike-slow wave, polyspilke-slow wave distributing in the central, parietal and frontal area in interictal period. Pathology of the skin and muscles are normal. ConclusionThe diagnosis of dyssynergia cerebellaris myoclonica was mainly based on typical clinical manifestations, brain MRI and EEG changes.Long time video EEG and synchronous EMG is important for the diagnosis. Skin and muscles pathology can be normal.
At present, the incidence of Parkinson’s disease (PD) is gradually increasing. This seriously affects the quality of life of patients, and the burden of diagnosis and treatment is increasing. However, the disease is difficult to intervene in early stage as early monitoring means are limited. Aiming to find an effective biomarker of PD, this work extracted correlation between each pair of electroencephalogram (EEG) channels for each frequency band using weighted symbolic mutual information and k-means clustering. The results showed that State1 of Beta frequency band (P = 0.034) and State5 of Gamma frequency band (P = 0.010) could be used to differentiate health controls and off-medication Parkinson’s disease patients. These findings indicated that there were significant differences in the resting channel-wise correlation states between PD patients and healthy subjects. However, no significant differences were found between PD-on and PD-off patients, and between PD-on patients and healthy controls. This may provide a clinical diagnosis reference for Parkinson’s disease.
ObjectiveTo investigate the feasibility of electroencephalography (EEG) power spectrum analysis monitoring noninvasive intracranial pressure (ICP). MethodsBetween September 2008 and May 2009, the EEG signals were recorded in 62 patients (70 cases/times) with central nervous system (CNS). By using self-designed software, EEG power spectrum analysis was conducted and pressure index (PI) was calculated automatically. ICP was measured by lumbar puncture (LP). ResultsThe mean ICP was (239.74±116.25) mm H2O (70-500 mm H2O, 1 mm H2O=0.009 8 kPa), and 52.9% of patients had increased ICP. The mean PI was 0.29±0.20 (0.02-0.85). The Spearman rank test showed that there was a significant negative correlation between PI and ICP (rs=-0.849, P<0.01). The data from the patients with diffuse lesions of CNS and focal lesions were analyzed separately; the results showed there were significant negative correlations between PI and ICP in both groups (rs=-0.815, -0.912; P<0.01). ConclusionThe PI obtained from EEG analysis is correlated with ICP. Analysis of specific parameters from EEG power spectrum might reflect the ICP. Further research should be carried out.
Motor imagery is often used in the fields of sports training and neurorehabilitation for its advantages of being highly targeted, easy to learn, and requiring no special equipment, and has become a major research paradigm in cognitive neuroscience. Transcranial direct current stimulation (tDCS), an emerging neuromodulation technique, modulates cortical excitability, which in turn affects functions such as locomotion. However, it is unclear whether tDCS has a positive effect on motor imagery task states. In this paper, 16 young healthy subjects were included, and the electroencephalogram (EEG) signals and near-infrared spectrum (NIRS) signals of the subjects were collected when they were performing motor imagery tasks before and after receiving tDCS, and the changes in multiscale sample entropy (MSE) and haemoglobin concentration were calculated and analyzed during the different tasks. The results found that MSE of task-related brain regions increased, oxygenated haemoglobin concentration increased, and total haemoglobin concentration rose after tDCS stimulation, indicating that tDCS increased the activation of task-related brain regions and had a positive effect on motor imagery. This study may provide some reference value for the clinical study of tDCS combined with motor imagery.