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Abstract Background Due to their semiological similarities, psychogenic nonepileptic seizures (PNESs) can occasionally hardly be differentiated from epileptic seizures (ESs), and long-term video-electroencephalographic monitoring (VEM) is needed for the differential diagnosis. Objective To investigate the time of the first clinical event and its distribution on the days of VEM in ES and PNES patients. Methods In total, a consecutive series of 48 PNES and 51 ES patients matched for gender and age were retrospectively and consecutively evaluated. The time distribution of the seizures during the day was noted. Seizure latency was determined as the time in hours from the start of the video-electroencephalographic recording to the first clinical event. Results The seizure latency was significantly shorter in PNES patients compared to ES patients (p < 0.001). Seventy-two percent of PNES patients and 49.1% of ES patients had their first seizure in the 24 hours of video-EEG recording (p = 0.023). Recording longer than 48 hours was required for 12.5% of PNES patients and 37.3% of ES patients (p = 0.006). While ESs were almost evenly distributed throughout the day, most PNESs occurred during the evening hours (p = 0.011). Conclusion We observed that the PNESs appeared earlier than the ESs in the VEM and were concentrated during daylight hours. Although not strictly reliable, seizure latency can contribute to the differential diagnosis of ES and PNES.
Resumen Antecedentes Debido a sus similitudes semiológicas, las crisis no epilépticas psicógenas (CNEP) en ocasiones apenas se pueden diferenciar de las crisis epilépticas (CE), y se necesita una monitorización video-electroencefalográfica (EEG) prolongada para el diagnóstico diferencial. Objectivo Investigar el momento del primer evento clínico y su distribución en los días de monitorización video-EEG en pacientes con CE y CNEP. Métodos Se evaluó retrospectivamente a una serie consecutiva de 48 pacientes con CNEP y 51 con ES emparejados por sexo y edad. Se anotó la distribución temporal de las incautaciones durante el día. La latencia de las crisis se determinó como el tiempo en horas desde el inicio de la grabación del video-EEG hasta el primer evento clínico. Resultados La latencia de las crisis fue significativamente menor en los pacientes con CNEP en comparación con los pacientes con CE (p < 0,001). El 72% de los pacientes con CNEP y el 49,1% de los pacientes con CE tuvieron su primera crisis en las 24 horas de registro del video-EEG (p = 0,023). Se requirió un registro de más de 48 horas para el 12,5% de los pacientes con CNEP y el 37,3% de los pacientes con CE (p = 0,006). Mientras que las CE se distribuyeron casi uniformemente a lo largo del día, la mayoría de las CNEP ocurrieron durante las horas después del anochecer (p = 0,011). Conclusión Observamos que las CNEPs aparecieron antes que las CEs en la monitorización video-EEG, y se agruparon durante las horas del día. Aunque no es estrictamente confiable, la latencia de las crisis puede contribuir al diagnóstico diferencial de ES y CNEP.
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Resumen: La anestesiología cuenta con una nueva generación de monitores de la profundidad anestésica como Narcotrend, SedLine y el índice biespectral; con un procesador del electroencefalograma llamado espectrograma o espectrografía. Tras la obtención del electroencefalograma, se procesa para graficar en tres dimensiones: la frecuencia, el tiempo y la potencia en una escala de colores, con lo que se obtiene la matriz de densidad espectral (DSA, por sus siglas en inglés). El objetivo de esta revisión narrativa es ilustrar los efectos de los anestésicos más comunes en el espectrograma y hacer una breve revisión de su huella en el electroencefalograma.
Abstract: Anesthesiology has a new generation of anesthetic depth monitors such as Narcotrend, SedLine and Bispectral Index; with an electroencephalogram processor called a spectrogram or spectrograph. After obtaining the electroencephalogram, it is processed to graph three dimensions: frequency, time, and power on a color scale, obtaining the DSA (density spectral array). The objective of this narrative review is to illustrate the effects of the most common anesthetics on the spectrogram and to briefly review their signature on the electroencephalogram.
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Objective:To comprehensively evaluate the ability of common resting state functional magnetic resonance imaging (rs-fMRI) indices to detect abnormal brain activity in childhood absence epilepsy (CAE).Methods:Simultaneous electroencephalography-functional magnetic resonance imaging (fMRI) data of 20 patients with CAE who were treated in the Jinling Hospital, Nanjing University School of Medicine from February 2010 to September 2021 were retrospectively collected. After excluding 2 patients with CAE with greater head movement, 44 fMRI data containing discharges from 18 patients were obtained finally. The generalized spike and slow-wave discharges (GSWD) related fMRI activation mappings were obtained by using the generalized linear model. At the same time, 94 age- and sex-matched healthy controls underwent rs-fMRI scanning. Meanwhile, 12 indices of rs-fMRI were calculated respectively [amplitude of low frequency fluctuation (ALFF), fractional amplitude of low frequency fluctuation (fALFF), regional homogeneity (ReHo), functional connectivity density (FCD), long FCD, local FCD, granger causality density (GCD)-in, GCD-out, GCD-int, resting state functional magnetic resonance imaging lag analysis (RSLA), Hurst index and brain entropy]. Two-sample t-tests were employed to detect significant differences in 12 indices of rs-fMRI. The Dice coefficient was used to evaluate the overlap between different brain maps of 12 indices of rs-fMRI and the GSWD-related blood oxygenation level dependent (BOLD) activation. Results:Positive activation of GSWD-related BOLD in CAE was mainly in the bilateral thalamus, and negative activation was mainly in default mode network (DMN) related brain regions. There was a significant overlap between the abnormal brain regions detected by various resting-state indicators: compared with normal controls, ALFF, fALFF, ReHo, GCD-in, GCD-out and local FCD were elevated in the bilateral thalamus, while FCD, long FCD, GCD-int and RSLA were decreased in CAE; ALFF, fALFF, ReHo, local FCD, GCD-out, RSLA and brain entropy were decreased in the DMN, while FCD, long FCD, GCD-in and GCD-int were increased in CAE. The Dice coefficient of long FCD was the highest (0.365),FCD was 0.362, while the Hurst index showed the lowest (0.142).Conclusions:Rs-fMRI indices variously revealed abnormal brain activity in CAE, in which the FCD is better for detection of epileptic activity. Rs-fMRI could be helpful to understand the pathophysiological mechanism of CAE, and to find reliable imaging markers.
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Objective:To compare the detection and amplitude of epileptiform discharges (EDs) between surface sphenoidal electrode and anterior temporal electrode in patients with interictal EDs in the temporal region, and to explore the value of surface sphenoidal electrode.Methods:A total of 1 356 outpatients with epilepsy who underwent 2-hour video electroencephalogram (EEG) monitoring in Xuanwu Hospital from October to December 2021 were retrospectively enrolled. All patients were hooked up with scalp electrode according to the international 10-20 system as well as surface sphenoidal electrode and anterior temporal electrode. The EEGs with EDs recorded by surface sphenoidal electrode and/or anterior temporal electrode were selected for analysis. The detection rate and the amplitude of EDs by surface sphenoidal electrode and anterior temporal electrode were compared.Results:Seventy-three EEGs were collected and 250 EDs were counted. The detection rate of the anterior temporal electrode and surface sphenoidal electrode were 88.0% (220/250) and 98.4% (246/250) respectively. The difference in detection rate was statistically significant (χ 2=18.38, P<0.001). For the EDs from anterior temporal regions (taking the discharges recorded by anterior temporal electrode as "gold standard"), the detection rate of surface sphenoidal electrode was 98.2% (216/220). There was no statistically significant difference in detection rate between the anterior temporal electrode and surface sphenoidal electrode (χ 2=2.27, P=0.132). There were 216 EDs recorded by these two kinds of electrode simultaneously. The average amplitude of the EDs on surface sphenoidal electrode and anterior temporal electrode was (77.1±38.9) μV and (80.2±44.9) μV, respectively. The difference was statistically significant ( t=2.28, P=0.031). Conclusions:The detection rate of surface sphenoid electrodes was higher than that of anterior temporal electrodes for the EDs in the temporal region, and surface sphenoidal electrodes can be used routinely in outpatient. The surface sphenoidal electrode had more chance to detect EDs originating from regions out of the anterior temporal regions.
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Objective:To investigate the clinical and electrophysiological characteristics of patients with sudden unexpected death of epilepsy (SUDEP).Methods:Using "epilepsy" as the keyword, the relevant cases entered from October 2011 to March 2012 were searched in the database of the Electroencephalogram (EEG) Monitoring Center, Xijing Hospital, the Air Force Military Medical University. Telephone follow-up was conducted for all confirmed epilepsy patients, and for the death cases confirmed by telephone follow-up, the patients identified as consistent with SUDEP diagnosis were included in this study based on their past medical history, clinical data, death details, etc, and their clinical and neuroelectrophysiological characteristics were summarized and analyzed.Results:Among the 1 232 patients who underwent 24-hour video-EEG monitoring during the study period, 354 patients were successfully followed up by telephone interview, of whom 17 patients were died (4.8%), 12 individuals met the diagnosis of SUDEP (7 men, 5 women). The duration of the disease in 9 patients exceeded 10 years. Eight cases presented with focal-bilateral tonic clonic seizures. Nine patients were treated with anti-seizure drug monotherapy. All the 24-hour video EEG of 12 patients were abnormal. There were 8 occasions when the EEG occipital α background rhythm slowed down compared with the standard frequency of peers or was dominated by slow waves. Interictal epileptic discharge (IED) located in temporal lobe were found in 12 EEG records, of which 9 EEG records were found with frontal IED. One of the 12 cases received 24-hour video EEG twice within 6 years, and his EEG background rhythm was significantly slower and the IED region was expanded compared with the first EEG record. At the third year after reexamination of EEG, SUDEP developed in this patient.Conclusions:SUDEP patients have a long course of disease and bilateral tonic-clonic seizure. The interictal EEG shows occipital slow α activity and temporofrontal epileptiform discharges, which may increase the risk of SUDEP.
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In the electroencephalography (EEG) monitoring of patients with hypoxic-ischemic encephalopathy, generalized periodic discharges are often monitored abnormal waveforms. When there are some features of generalized periodic discharges (e.g., frequency≥1.5 Hz or plus), it indicates that the patient is at high risk for seizures or has a poor prognosis. Compared with conventional EEG, the time of continuous EEG monitoring is longer, so the detection rate of these waveforms is higher. At present, scholars at home and abroad have studied these waveforms, but there is controversy about the significance of these waveforms. In this paper, the definition and characteristics of these waveforms and their significance in determining prognosis and guiding treatment in patients with hypoxic-ischemic encephalopathy are reviewed.
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Familial cortical myoclonic tremor with epilepsy (FCMTE) is a rare neurological disorder. There were more than 10 different terms of disease name in domestic and international published articles by searching FCMTE from PubMed and Wanfang database (from 1990 to 2022), which indicated the different understanding of the disease. It is necessary to discuss the correct and consentaneous name of the disease to facilitate the professional investigation in the future. The name evolution of FCMTE and the author′s views are described in this article.
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Objective:To analyze the clinical manifestations, gene mutation characteristics and treatment effects of patients with GATOR1 complex-related epilepsy, and to explore the diagnosis and treatment of this disease.Methods:The medical history, electroencephalogram, brain imaging, genetic test results, treatment and follow-up data of patients with GATOR1 complex-related epilepsy who attended the Children′s Hospital Affiliated to Capital Institute of Pediatrics, Beijing Tsinghua Changgung Hospital, and Shanghai Deji Hospital from May 2017 to July 2022 were retrospectively analyzed.Results:A total of 16 patients with GATOR1 complex-related epilepsy were collected, including 7 males and 9 females. The age of onset of epilepsy was from 2 months to 14 years. Ten cases had focal seizures only, 2 cases had generalized seizures only, and 4 cases had coexistence of focal seizures and generalized seizures, of which generalized seizures included generalized tonic-clonic seizure, spastic seizure, and myoclonic seizure. Among the 16 patients, 2 had infantile spasms, 3 had familial focal epilepsy with variable focus, and 1 had sleep related hyperkinetic epilepsy. Electroencephalogram intervals suggested multiple brain areas discharge or diffuse discharge. A total of 13 DEPDC5 gene mutation sites, 1 NPRL2 gene mutation site, and 2 NPRL3 gene mutation sites were found; 4 sites of DEPDC5 gene were reported sites, the rest were unreported; all mutations had pathogenic significance; 8 cases had nonsense mutation, 1 case had large fragment deletion, 4 cases had frameshift mutation, 1 case had integer mutation, 2 cases had splicing mutation; 13 cases′ mutation was inherited from parents, 2 cases had new mutation, and 1 case had unverified mutation. Magnetic resonance imaging (MRI) showed 5 of the 16 patients were normal, and 11 had abnormal cerebral cortex structure, manifested as bottom-of-sulcus focal cortical dysplasia (FCD), abnormal formation of sulci and (or) gyri with or without ill-defined gray-white matter and malformation of cortical dysplasia of the bilateral brain. Seven patients underwent stereotactic electroencephalogram (SEEG) monitoring, and the SEEG showed low-amplitude fast rhythm at the beginning in 6 patients, of whom 5 cases started from the frontal lobe, and 1 case started from the parietal lobe. Eight patients were only treated with drugs, 1 with single-drug therapy and the rest with multi-drug combination therapy. Eight patients underwent surgery. Among them, 5 patients with DEPDC5 gene mutation underwent epileptogenic cortex excising after SEEG monitoring, and postoperative pathological examinations showed FCDⅡ, FCDⅢ or non-specific changes; 1 patient was waiting for surgery. One patient with NPRL3 gene mutation underwent epileptogenic foci resection and postoperative pathological examinations showed FCDⅡa; the other patient with NPRL3 gene mutation underwent radiofrequency thermocoagulation after SEEG monitoring. Follow-up showed that 3 patients were seizure-free with drug treatment, and 4 patients had fewer seizures after drug treatment. Six cases underwent epileptic foci resection. Five of them were assisted by SEEG to locate the epileptic foci before surgery and were seizure-free after the operation, but the range of surgical resection was wider than the abnormal range shown by MRI; whereas 1 case who was not assisted by SEEG showed no improvement. There was still 1 case who underwent SEEG-guided radiofrequency thermocoagulation and had no improvement after operation. Conclusions:GATOR1 complex-related epilepsy mostly manifests as focal seizures. SEEG shows that seizures originate from the frontal lobe more often, and cortical developmental abnormalities are often found. DEPDC5 gene mutations are the most common ones, mostly inherited from parents, with high incomplete penetrance rate. Therefore, genetic testing is recommended for non-acquired brain structural abnormalities. For those who are refractory to drugs, a radical cure can be obtained by resection of the epileptogenic foci after preoperative evaluation.
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OBJECTIVE Insomnia is the most fre-quent sleep disorder worldwide and the clinical applica-tion of therapeutic drugs has various adverse effects.In recent years,drugs developed from natural herbs have become potential alternative therapies for insomnia.Nuciferine,one of the main bioactive components obtained from the lotus leaves,has been reported to possess extensive pharmacological activities.However,its hypnotic and sleep regulatory effects have rarely been reported.Hence,this study was intended to investigate the pharma-cological effects of nuciferine and its mechanisms of action in insomnia.METHODS The hypnotic and seda-tive effects of nuciferine were investigated using the eval-uation of locomotor activity test and pentobarbital-induced sleep test in normal and serotonin(5-HT)depletion-induced insomniac mice.Furthermore,the sleep regulatory effects,including sleep time,sleep architecture,and δ-wave power spectral density,were explored using elec-troencephalography/electromyogram(EEG/EMG)-based sleep profiling in normal rats.Finally,the mechanisms of the hypnotic and sedative effects of nuciferine were explored usingin vivoand in silico experiments.RESULTS Nuciferine reduced locomotor activity and prolonged pen-tobarbital-induced sleep time in a dose-dependent man-ner in normal and insomniac model mice.Nuciferine sig-nificantly increased the total sleep time and non-rapid eye movement(NREM)sleep time,inhibited NREM sleep fragmentation,and improved delta power between 0.5 Hz and 1 Hz in normal rats.The results of molecular experiments showed that nuciferine could increase the 5-HT content and 5-HT1A receptor level in the hypothala-mus of insomnia model mice.CONCLUSION This study combined network pharmacological prediction and experi-mental pharmacological techniques to discover the seda-tive-hypnotic effect of nuciferine for the first time Nucif-erine can ameliorate sleep disorder in mice with insom-nia,possibly via serotonergic system.Nuciferine may rep-resent a novel treatment that alleviate the insomnia-like symptoms by modulating 5-HT system.
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Objective:To investigate the significance of sleep electroencephalogram (EEG) monitoring in the diagnosis and differential diagnosis of childhood epilepsy.Methods:The clinical data of 56 children with epilepsy diagnosed in The Maternal and Child Health Hospital of Huainan from February 2020 to February 2022 were retrospectively analyzed. The relationship between the positive rate of epileptiform discharge under sleep EEG monitoring and its location and sleep phase was analyzed.Results:Of the 56 children, 36 (64%) children had normal results of routine awake EEG monitoring, and 20 (36%) children had abnormal results. Among the 56 children, 9 (16%) children had normal sleep and 47 (84%) had abnormal sleep. The difference in EEG monitoring results between the awake and asleep states was statistically significant ( χ2 = 27.08, P < 0.001). Among abnormal EEG in 47 patients, paroxysmal abnormality (epileptiform discharge) was found in 44 patients and non-specific abnormality was found in 3 patients. Among the 44 children with epileptic discharges, 5 (11%) had epileptic discharges during wakefulness, 11 (25%) children had epileptic discharges during a sleepless period, and 28 (64%) had epileptic discharges during a slight sleep period. EEG epileptiform discharges occurred in the central temporal region in 9 (21%) patients, temporal region in 8 (18%) patients, parieto-occipital region in 1 (2%) patient, frontal region in 5 (11%) patients, and the frontotemporal region in 6 (14%) patients. Generalized discharges were found in 14 (32%) patients, and generalized hypsarrhythmia was found in 1 (2%) patient. Conclusion:Children with clinically highly suspected epilepsy should be reexamined by sleep EEG if the routine awake EEG, monitoring results are normal, to reduce the rates of misdiagnosis and missed diagnosis in children with epilepsy.
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Objective:To study the predictive values of umbilical artery blood gas analysis(UABG) plus amplitude-integrated electroencephalography(aEEG) monitoring within 6 h after birth for early complications and short term neurological outcomes in low Apgar score neonates.Methods:From January 2020 to February 2022, neonates with gestational age (GA) ≥35 weeks and 1 min or 5 min Apgar score ≤7 admitted to NICU of our hospital were retrospectively reviewed. According to UABG pH values, the neonates were assigned into pH<7.2 group and pH ≥7.2 group, and further grouped into abnormal aEEG group and normal aEEG group. The ttest, rank sum test and χ2 test were used to compare laboratory results, incidences of diseases, physical growth and neurological prognosis at 6 month of age. Results:A total of 105 neonates with low Apgar scores were enrolled, including 73 cases in the pH<7.2 group and 32 cases in the pH≥7.2 group. In the pH<7.2 group, 52(71.2%) had abnormal aEEG and 21 had normal aEEG. In the pH≥7.2 group, 6(18.8%) had abnormal aEEG and 26 had normal aEEG. The incidence of abnormal aEEG in the pH<7.2 group was higher than the pH≥7.2 group ( P<0.001). The degree of aEEG abnormality was negatively correlated with UABG pH ( r=-0.463, P<0.001). In the pH<7.2 group, the levels of creatine kinase isozymes (CK-MB), activated partial thromboplastin time and the incidence of hypoxic-ischemic encephalopathy (HIE) in neonates with abnormal aEEG were significantly higher than those with normal aEEG, and the head circumference (HC) at 6 month was significantly smaller in neonates with abnormal aEEG (all P<0.05). In the pH≥7.2 group, the level of CK-MB, incidences of HIE and respiratory failure in neonates with abnormal aEEG were higher than those with normal aEEG, HC at 6 month was smaller and the incidence of adverse neurological prognosis was higher in neonates with abnormal aEEG (all P<0.05). Conclusions:UABG plus aEEG monitoring within 6 h after birth shows predictive values for early complications and short term neurological outcomes in low Apgar scores neonates.
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Sepsis-associated encephalopathy(SAE) is a diffuse brain dysfunction caused by sepsis.The main clinical manifestations are abnormal mental state, high mortality and poor prognosis.At present, there is no unified diagnostic standard for SAE.The exclusion diagnosis is mainly based on clinical symptoms and signs, combined with laboratory examination and imaging auxiliary examination.Among them, brain magnetic resonance imaging and quantitative electroencephalography can early detect brain dysfunction and predict the prognosis of children, which play an important role in the early diagnosis and prognosis assessment of SAE.Cerebral oxygen monitoring can dynamically reflect the changes of brain function and can be used for long-term monitoring of children with severe brain function injury.SAE is closely associated with poor prognosis, and mortality will increase with the extention of hospitalization.Therefore, early identification of SAE is of great significance to reduce mortality.
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Objective:To improve the users’ comfort of steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) through high-frequency stimulation and overcome the problem of accuracy decline caused by high frequency by combining dual-frequency encoding.Methods:Two dual-frequency high-frequency 60-instruction paradigms based on left and right visual fields and checkerboard stimuli were designed based on the 25.5 - 39.6 Hz frequency. Thirteen subjects participated in the experiment, and spectrum and spatial characteristics analyses were performed on SSVEP signals. The filter bank parameters were optimized based on the spectrum characteristics. Extended canonical correlation analysis (eCCA), ensemble task-related component analysis (eTRCA), and task-discriminant component analysis (TDCA) were used for SSVEP recognition.Results:Stable SSVEP was successfully induced in both the left and right visual fields and the checkerboard grid paradigm. The left and right visual fields had high signal-to-noise ratios for the fundamental frequency and its harmonics and weak signal-to-noise ratios for intermodulation components, whereas the intermodulation components of the 2 stimulus frequencies of the checkerboard grid, f1 + f2, had significantly higher signal-to-noise ratios than the second harmonic components above 30 Hz, and there was also a f2 ? f1 component and a 2 f1 ? f2 component. Combined with brain topography, it can be seen that the f1 and f2 response components of the left and right visual fields are located on opposite sides of the visual field, while the checkerboard grids are both concentrated in the center of the occipital region. Regarding the lateralization of brain topography amplitude and signal-to-noise ratio, the mean values of the PO3 and PO4 signal-to-noise ratios at the stimulation frequency of the left and right visual fields are consistent with the contralateral response characteristics. The 5 fb ? 1 method is the optimal filter set setting method, and the recognition correctness rate of TDCA for the left and right visual fields is the highest. However, the comparison of the recognition correctness rate of tessellated lattice eTRCA and TDCA is not statistically significant ( P > 0.05). The information transmission rates of the three algorithms all increase and then decrease with the increase in data length. Conclusions:The designed dual-frequency, high-frequency SSVEP-BCI paradigm is able to better balance performance and comfort and provides a basis for practical large instruction set BCI design methods.
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Objective:To investigate the correlation between paroxysmal slow-wave events (PSWEs) and cerebral small vessel disease (CSVD) and CSVD-related cognitive impairment.Methods:Patients with CSVD visited Weihai Municipal Hospital from March 2021 to April 2022 were included, and sex- and age-matched healthy controls were recruited for cross-sectional analysis. The patients with CSVD were further divided into cognitive impairment group and non-cognitive impairment group. The self-developed Python script was used to detect the PSWE parameters in electroencephalogram records. Montreal Cognitive Assessment (MoCA) and Mini-Mental State Examination (MMSE) were used to evaluate cognitive function. Multivariate logistic regression analysis was used to determine whether PWSE parameters were the independent related factors of CSVD and CSVD-related cognitive impairment. Multiple linear regression analysis was used to determine the correlation between the PSWE parameters and overall cognitive function (MoCA total score) in patients with CSVD. Results:A total of 76 patients with CSVD (including 41 patients with cognitive impairment and 35 patients without cognitive impairment) and 45 healthy controls were included. Compared with the healthy control group, PWSEs in the F3 (left frontal area) and O1 (left occipital area) regions of the CSVD group occurred more frequently and lasted longer (all P<0.05). Multivariate logistic regression analysis showed that the frequency (odds ratio [ OR] 1.080, 95% confidence interval [ CI] 1.023-1.140; P=0.005) and duration ( OR 1.006, 95% CI 1.001-1.011; P=0.023) of PWSEs in the left frontal area, as well as the frequency ( OR 1.052, 95% CI 1.010-1.095; P=0.014) and duration ( OR 1.003, 95% CI 1.000-1.006; P=0.028) of PWSEs in the left occipital region were the independent related factors for CSVD. The frequency ( OR 1.106, 95% CI 1.033-1.183; P=0.004) and duration ( OR1.010, 95% CI 1.003-1.017; P=0.004) of PWSEs in the left frontal area were the independent risk factors for cognitive impairment in patients with CSVD. Multiple linear regression analysis showed that the frequency ( β= –0.242, P=0.045) and duration ( β= –0.235, P=0.046) of PWSEs in the left frontal region were negatively correlated with the overall cognitive function score in patients with CSVD. Conclusions:The frequency and duration of PSWEs in some brain regions of patients with CSVD increase, and there is an independent correlation between PSWEs and cognitive impairment, suggesting that the damage of blood-brain barrier may participate in the pathogenesis of cognitive impairment in patients with CSVD.
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BackgroundThe diagnosis of Alzheimer's disease （AD） still faces great challenges， and the advantage of electroencephalogram （EEG） diagnosis lies in its portable and non-invasive nature， so the EEG diagnosis of AD has occupied an important place in clinical research. ObjectiveTo evaluate the value of resting state EEG for AD diagnosis， and to provide references for early recognition of AD in clinical practice. MethodsClinical data of AD patients （n=59） in an Inpatient Geriatric Psychiatry Unit of Shenzhen Kangning Hospital from May 2019 to May 2022 were retrospectively analyzed， and healthy elderly individuals attending outpatient clinics at the hospital during the same period were enrolled as control group （n=54）. Eight-channel resting state EEG data were acquired， and the absolute power values in the α， β， θ and δ frequency bands and the α/θ ratio were obtained and calculated using Fast Fourier Transform （FFT）. Cognitive function assessments of patients were done by Mini-Mental State Examination （MMSE） and Montreal Cognitive Assessment （MoCA）. Spearman correlation analysis was used to examine the correlation between EEG findings and MMSE and MoCA scores of AD patienrs. Logistic regression prediction model for AD was built using currently available EEG and clinical variables， and the model performance was assessed using the receiver operating characteristic （ROC） curve and the area under curve （AUC）. ResultsThe θ-band absolute powers in the right mid-frontal （F4） and mid-lateral （F7， F8） regions were higher in AD patients than those in healthy controls， with statistically significant difference （t=-2.844， -2.825， -3.014， P<0.05 or 0.01）. The absolute powers of α/θ ratio in prefrontal （Fp1， Fp2）， mid-frontal （F3， F4） and mid-lateral （F7， F8） regions showed a notable reduction in AD patients compared with healthy controls， with statistical difference （t=2.081， 2.327， 3.423， 2.358， 3.272， 2.445， P<0.05 or 0.01）. Spearman correlation analysis denoted that MMSE score was positively correlated with the absolute powers of α-band， β-band and α/θ ratio （r=0.206， 0.288， 0.372， P<0.05 or 0.01）. MoCA score was positively correlated with β absolute powers and α/θ ratio （r=0.201， 0.315， P<0.05 or 0.01）， and negatively correlated with θ absolute power （r=-0.218， P<0.05）. ROC curve revealed an AUC of 0.882 （95% CI： 0.820~0.943）， a sensitivity of 0.966 and a specificity of 0.673 for the AD prediction model based on EEG variables， while the prediction model for AD using comprehensive variables achieved better predictive efficacy， reaching an AUC， sensitivity and specificity of 0.946 （95% CI： 0.905~0.986）， 0.948 and 0.873， respectively. ConclusionResting state EEG of AD patients is correlated with cognitive function， and are of great value in the diagnosis of AD， with θ absolute power and α/θ ratio in EEG being the most strongly correlated with AD.
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OBJECTIVES@#To explore a new method for electroencephalography (EEG) background analysis in neonates with hypoxic-ischemic encephalopathy (HIE) and its relationship with clinical grading and head magnetic resonance imaging (MRI) grading.@*METHODS@#A retrospective analysis was performed for the video electroencephalography (vEEG) and amplitude-integrated electroencephalography (aEEG) monitoring data within 24 hours after birth of neonates diagnosed with HIE from January 2016 to August 2022. All items of EEG background analysis were enrolled into an assessment system and were scored according to severity to obtain the total EEG score. The correlations of total EEG score with total MRI score and total Sarnat score (TSS, used to evaluate clinical gradings) were analyzed by Spearman correlation analysis. The total EEG score was compared among the neonates with different clinical gradings and among the neonates with different head MRI gradings. The receiver operating characteristic (ROC) curve and the area under thecurve (AUC) were used to evaluate the value of total EEG score in diagnosing moderate/severe head MRI abnormalities and clinical moderate/severe HIE, which was then compared with the aEEG grading method.@*RESULTS@#A total of 50 neonates with HIE were included. The total EEG score was positively correlated with the total head MRI score and TSS (rs=0.840 and 0.611 respectively, P<0.001). There were significant differences in the total EEG score between different clinical grading groups and different head MRI grading groups (P<0.05). The total EEG score and the aEEG grading method had an AUC of 0.936 and 0.617 respectively in judging moderate/severe head MRI abnormalities (P<0.01) and an AUC of 0.887 and 0.796 respectively in judging clinical moderate/severe HIE (P>0.05). The total EEG scores of ≤6 points, 7-13 points, and ≥14 points were defined as mild, moderate, and severe EEG abnormalities respectively, which had the best consistency with clinical grading and head MRI grading (P<0.05).@*CONCLUSIONS@#The new EEG background scoring method can quantitatively reflect the severity of brain injury and can be used for the judgment of brain function in neonates with HIE.
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Infant, Newborn , Humans , Hypoxia-Ischemia, Brain/diagnostic imaging , Retrospective Studies , Brain Injuries , Electroencephalography , ROC CurveABSTRACT
Non-suicidal self-injury (NSSI) is becoming increasingly common in adolescents and seriously affects their physical and mental health, and it is also a major risk factor for suicide among adolescents. NSSI has now become a public health issue of general concern; however, the identification of cognitive dysfunction in NSSI is still based on neuropsychological cognitive assessment and subjective questionnaire assessment, with a lack of objective evaluation indicators. As a method for studying the cognitive neural mechanism of NSSI, electroencephalography is a reliable tool for finding objective biomarkers of NSSI. This article reviews the recent research on electrophysiology associated with cognitive dysfunction in adolescents with NSSI.
Subject(s)
Humans , Adolescent , Self-Injurious Behavior , Cognitive Dysfunction , Electroencephalography , Neuropsychological Tests , Risk FactorsABSTRACT
Objetivo: Verificar se existe correlação entre excitabilidade central e periférica após o treino com a terapia de restrição induzida do movimento (TRIM) modificada associada a contensão de tronco para o membro superior parético após Acidente Vascular Encefálico (AVE). Métodos: Ensaio clínico controlado onde vinte e dois voluntários foram selecionados e randomizado em dois grupos: Grupo Controle (GC) e Grupo Experimental (GE). Eles foram avaliados por meio do eletroencefalograma (EEG) e da eletromiografia (EMG) de superfície. Os canais EEG analisados foram: Canal Ântero Frontal (AF3/AF4); Canal Frontal região medial (F7/F8); Canal Frontal região lateral (F3/F4); Canal Fronto Central (FC5/FC6); Região temporal (T7/T8); Região occipital (O1/O2). Os músculos analisados com EMG foram bíceps braquial, flexores e extensores de punho. As avaliações foram realizada durante a atividade, por dez minutos. O GE recebeu o treinamento com TRIM modificada uma hora por dia, duas semanas consecutivas. Resultados: O GC (pós-intervenção) apresentou correlação moderada negativa (r= -0,69; p= 0,02) do canal Fa com extensor de punho. O GE apresentou (pré-intervenção) correlação moderada negativa do canal AF (r= -0,68; p= 0,02) e FC (r= -0,71; p= 0,01) com flexor de punho. Na pós intervenção apresentou correlação positiva do canal Fa (r= 0,61; p= 0,04) com o extensor de punho. Conclusão: A TRIM modificada associada à contensão de tronco para o membro superior parético apresentou correlação positiva do canal Fa com o músculo extensor de punho e o grupo não treinado apresentou correlação negativa do canal Fa com extensor de punho.
Objective: Establish the correlation between central and peripheral excitability after training with the modified upper limb constraint-induced movement therapy (CIMT) associated with trunk constraint for patients with stroke. Methods: This study is a randomized clinical trial. Twenty-two volunteers were included and randomized into the Control (CG) and Experimental Groups (EG). They were assessed with electroencephalography (EEG) and surface electromyography (EMG). The EEG channels analyzed were antero-frontal (AF3/AF4), frontal-medial (F7/F8), frontal-lateral (F3/F4), frontal-central (FC5/FC6), temporal (T7/T8), and occipital (O1/O2). The muscles evaluated with EMG were biceps brachii, wrist flexors, and wrist extensors. The evaluations were performed simultaneously with a functional assessment for ten minutes. The EG received the modified CIMT training one hour per day for two consecutive weeks. Results: After the intervention, the CG showed a moderate negative correlation of the Fa channel with the wrist extensor (r= -0.69; p= 0.02), whereas the EG had a moderate negative correlation of the FA channel (r= -0.68; p= 0.02) and FC (r= - 0.71; p= 0.01) with wrist flexor. In the post-intervention, a positive correlation of the FA channel was found with the wrist extensor (r= 0.61; p= 0.04). Conclusion: The modified CIMT associated with the trunk constraint for the paretic upper limb showed a positive correlation between the Fa channel and the wrist extensor muscle, and the control group showed a negative correlation between the Fa channel and the wrist extensor.
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Abstract Objective: Amplitude-integrated electroencephalography (aEEG) is a simplified bedside neurophysiology tool that has been implemented in the neonatal intensive care unit and studied in an extensive range of clinical applications in the past decade. This critical review aimed to evaluate a variety of clinical applications of aEEG monitoring in diagnosis, clinical management, and prognosis assessment in critically ill neonates. Sources: The databases of Pubmed, SciELO, Lilacs, and Cochrane, books, and other online resources were consulted, as well as sources of professional experiences. Summary of findings: The clinical use of aEEG to access real-time brain function, background activity, and utility in seizures detection has been described. A critical review was realized considering the authors' professional experience. Newborns with hypoxic-ischemic encephalopathy and seizures screening represent the most common studied population. However, several studies have shown interesting applications on preterm infants, newborns with congenital heart disease, and other clinical situations of high risk of injury to the developing brain. Conclusion: The aEEG has shown to be a useful non-invasive bedside monitor that aids in evaluating brain function, background activity, and cyclicity. aEEG findings have also demonstrated good prognostic value in a group of critically ill neonates. The aEEG seizure diagnosis capability has limitations, which have been already well established. The use of neonatal brain monitoring such as aEEG was shown to give valuable information in several high-risk clinical situations.
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Abstract Background Psychogenic non-epileptic seizures (PNES) resemble epileptic seizures and are often misdiagnosed as epilepsy. Objective To investigate the frequency of PNES and to calculate the economic burden of the patients who admitted to video-electroencephalographicmonitoring (VEM) to obtain a diagnosis of epilepsy in order to apply for disability retirement. Methods The present retrospective study included 134 patients who required disability reports between 2013 and 2019 and had their definite diagnoses after VEM. Following VEM, the patients were divided into three groups: epilepsy, PNES, and epilepsy + PNES. Results In total, 22.4% (n = 30) of the patients were diagnosed with PNES, 21.6% (n = 29) with PNES and epilepsy, and 56% (n = 75), with epilepsy. The frequency of PNES among all patients was of 44% (n = 59). In patients with PNES alone, the annual cost of using anti-seizure medication was of 160.67 ± 94.04 dollars; for psychostimulant drugs, it was of 148.3 ± 72.48 dollars a year; and the mean direct cost for diagnostic procedures was of 582.9 ± 330.0 (range: 103.52-1601.3) dollars. Conclusions Although it is challenging to determine the qualitative and quantitative total cost in these patient groups, early diagnosis and sociopsychological support will reduce the additional financial burden on the health system and increase the quality of life of the patients.
Resumo Antecedentes As crises psicogênicas não epilépticas (CPNE) se assemelham a crises epilépticas, e muitas vezes são diagnosticadas erroneamente como epilepsia. Objetivo Investigar a frequência de CPNE e calcular o impacto econômico dos pacientes internados para serem submetidos a monitoramento videoencefalográfico (MVE) para obter um diagnóstico de epilepsia e requerer aposentadoria por invalidez. Métodos Este estudo retrospectivo incluiu 134 pacientes que solicitaram laudo médico de incapacidade entre 2013 e 2019, e obtiveram seus diagnósticos definitivos após serem submetidos a MEV. Os pacientes foram divididos em três grupos: epilepsia, CPNE, e epilepsia + CPNE. Resultados Após o MEV, 22,4% (n = 30) dos pacientes foram diagnosticados com CPNE, 21,6% (n = 29), com CPNE + epilepsia, e 56%, com epilepsia. A frequência de CPNE entre todos os pacientes foi de 44% (n = 59). Em pacientes somente com CPNE, o custo anual do uso de anticonvulsivantes foi de US$ 160,67 ± 94,04; para os psicoestimulantes, o custo anual foi de US$ 148,3 ± 72,48; e a média do custo direto de procedimentos diagnósticos foi de US$ 582,9 ± 330,0 (variação: 103,52-1601,3). Conclusões Embora seja um desafio determinar o custo total qualitativo e quantitativo nesses grupos de pacientes, o diagnóstico precoce e o apoio sociopsicológico reduzirão o impacto financeiro adicional ao sistema de saúde e aumentarão a qualidade de vida dos pacientes.