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1.
Medicine (Baltimore) ; 100(9): e24989, 2021 Mar 05.
Artículo en Inglés | MEDLINE | ID: mdl-33655969

RESUMEN

RATIONALE: Tacrolimus-associated neurologic disorders can be found in some cases, mainly in organ transplantation patients. However, epilepsy induced by tacrolimus in primary membranous nephropathy (PMN) patient is scare. PATIENT CONCERNS: A 63-year-old man experienced 1-year history of foamy urine, and edema of lower extremity. DIAGNOSIS: The patient had proteinuria, hypoalbuminemia, which indicated nephrotic syndrome. Further, we performed renal biopsy for this patient. Combined with the renal biopsy result, the diagnosis of primary membranous nephropathy was established. INTERVENTION: At first, irbesartan was administrated for 6 months. However, the proteinuria had no obvious improvement. Tacrolimus was administrated afterwards. OUTCOMES: Twenty-two days after tacrolimus treatment, epilepsy occurred. Sodium valproate and carbamazepine were successively given to control epilepsy. However, the epileptic symptoms were not effectively controlled. During the treatment, the concentration of tacrolimus fluctuated greatly. At last, levetiracetam was given to maintain the curative effect. Fortunately, the patient did not suffer from epilepsy again. The concentration of temporary tacrolimus was stable, whereas proteinuria gradually decreased. LESSONS: Tacrolimus-induced epilepsy should be considered in patients exhibiting acute neurological symptoms. Early diagnosis and effective treatment play a vital role for favorable prognosis.


Asunto(s)
Epilepsia/inducido químicamente , Glomerulonefritis Membranosa/tratamiento farmacológico , Tacrolimus/efectos adversos , Electroencefalografía , Epilepsia/diagnóstico , Humanos , Inmunosupresores/efectos adversos , Inmunosupresores/uso terapéutico , Masculino , Persona de Mediana Edad , Tacrolimus/uso terapéutico
2.
JAMA Netw Open ; 4(3): e211489, 2021 03 01.
Artículo en Inglés | MEDLINE | ID: mdl-33720371

RESUMEN

Importance: There is evidence of central nervous system impairments associated with coronavirus disease 2019 (COVID-19) infection, including encephalopathy. Multimodal monitoring of patients with COVID-19 may delineate the specific features of COVID-19-related encephalopathy and guide clinical management. Objectives: To investigate clinical, biological, and brain magnetic resonance imaging (MRI) findings in association with electroencephalographic (EEG) features for patients with COVID-19, and to better refine the features of COVID-19-related encephalopathy. Design, Setting, and Participants: This retrospective cohort study conducted in Pitié-Salpêtrière Hospital, Paris, France, enrolled 78 hospitalized adults who received a diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-Cov2) and underwent EEG between March 30 and June 11, 2020. Exposures: Detection of SARS-CoV-2 from a nasopharyngeal specimen using a reverse transcription-polymerase chain reaction assay or, in the case of associated pneumonia, on a computed tomography scan of the chest. Main Outcomes and Measures: Data on the clinical and paraclinical features of the 78 patients with COVID-19 were retrieved from electronic patient records. Results: Of 644 patients who were hospitalized for COVID-19, 78 (57 men [73%]; mean [SD] age, 61 [12] years) underwent EEG. The main indications for EEG were delirium, seizure-like events, and delayed awakening in the intensive care unit after stopping treatment with sedatives. Sixty-nine patients showed pathologic EEG findings, including metabolic-toxic encephalopathy features, frontal abnormalities, periodic discharges, and epileptic activities. Of 57 patients who underwent brain MRI, 41 showed abnormalities, including perfusion abnormalities, acute ischemic lesions, multiple microhemorrhages, and white matter-enhancing lesions. Fifty-five patients showed biological abnormalities, including dysnatremia, kidney failure, and liver dysfunction, the same day as the EEG. The results of cerebrospinal fluid analysis were negative for SARS-Cov-2 for all tested patients. Nine patients who had no identifiable cause of brain injury outside COVID-19 were further isolated; their brain injury was defined as COVID-19-related encephalopathy. They represented 1% (9 of 644) of patients with COVID-19 requiring hospitalization. Six of these 9 patients had movement disorders, 7 had frontal syndrome, 4 had brainstem impairment, 4 had periodic EEG discharges, and 3 had MRI white matter-enhancing lesions. Conclusions and Relevance: The results from this cohort of patients hospitalized with COVID-19 suggest there are clinical, EEG, and MRI patterns that could delineate specific COVID-19-related encephalopathy and guide treatment strategy.


Asunto(s)
Encefalopatías/diagnóstico por imagen , /diagnóstico por imagen , Estudios de Cohortes , Electroencefalografía , Registros Electrónicos de Salud , Femenino , Humanos , Imagen por Resonancia Magnética , Masculino , Persona de Mediana Edad
3.
Medicine (Baltimore) ; 100(12): e25118, 2021 Mar 26.
Artículo en Inglés | MEDLINE | ID: mdl-33761675

RESUMEN

ABSTRACT: The aim was to examine whether clinical seizures and amplitude-integrated electroencephalogram (aEEG) patterns in infants with hypoxic ischemic encephalopathy (HIE) can predict the extent of brain injury on magnetic resonance images (MRI) and the long-term neurodevelopmental outcomes at 18∼24 months of age.HIE infants who underwent therapeutic hypothermia (TH) between June 2014 and March 2017 were included in this study. Infants with clinical seizure were analyzed for aEEG patterns and the extent of brain injury on MRI findings. Clinical seizure, aEEG, and brain MRI were assessed and compared with neurodevelopmental outcomes at 18∼24 months of age.Among the 97 HIE infants enrolled in this study with brain MRI scans, 78 (73.1%) TH-treated HIE infants exhibited clinical seizures. More abnormalities on a EEGs and more significant use of first and second antiepileptic drugs (AEDs) were significantly higher in the clinical-seizure group with longer hospitalized days. At a corrected 18 to 24 months of age, HIE infants in the clinical-seizure group with more extension of injury lesions on diffusion-weighted MRI scans exhibited significantly more delayed neurodevelopment. A risk factor analysis indicated that male infants who stayed in the hospital for more than 11 days were at a higher risk of having clinical seizures. The lesion size in MRI greater than 37 pixels was a risk factor with an 81.8% accuracy.Seizures in HIE infants may predict abnormal brain MRI scans and abnormal neurodevelopment at 18 to 24 months of age.


Asunto(s)
Hipoxia-Isquemia Encefálica/complicaciones , Hipoxia-Isquemia Encefálica/diagnóstico por imagen , Imagen por Resonancia Magnética , Neuroimagen , Convulsiones/diagnóstico por imagen , Encéfalo/diagnóstico por imagen , Encéfalo/crecimiento & desarrollo , Desarrollo Infantil , Preescolar , Electroencefalografía , Análisis Factorial , Femenino , Humanos , Lactante , Recién Nacido , Tiempo de Internación , Masculino , Trastornos del Neurodesarrollo/diagnóstico por imagen , Trastornos del Neurodesarrollo/etiología , Valor Predictivo de las Pruebas , Medición de Riesgo , Factores de Riesgo , Convulsiones/etiología , Factores Sexuales
4.
No Shinkei Geka ; 49(2): 335-341, 2021 Mar.
Artículo en Japonés | MEDLINE | ID: mdl-33762454

RESUMEN

Both diffusion-weighted MRI(DWI)modalities and continuous electroencephalography(cEEG)are useful for diagnosing status epilepticus. In case 1, DWI showed hyperintense regions in the right-sided parieto-occipital cortex during peri-ictal status. Intensity of the regions normalized after left hemiparesis improved. In status epilepticus , DWI usually depicts some hyperintense regions, such as the cerebral cortex, hippocampus, and thalamic pulvinar, where ictal brain activity and its propagation are likely occur the seizure. In case 2, cEEG led to an accurate diagnosis of non-convulsive status epilepticus due to right-sided temporal contusion. Intravenous application of levetiracetam and lacosamide alleviated the clinical symptoms and electrographic seizures. Abnormal cEEG findings during status epilepticus vary from rhythmic delta activity and epileptiform and generalized periodic discharges to ictal discharges. Accurate diagnosis of status epilepticus using MRI and cEEG can offer earlier intervention, such as prompt administration of benzodiazepines, midazolam, lorazepam, ultimately resulting in a good recovery.


Asunto(s)
Estado Epiléptico , Imagen de Difusión por Resonancia Magnética , Electroencefalografía , Humanos , Imagen por Resonancia Magnética , Convulsiones , Estado Epiléptico/diagnóstico , Estado Epiléptico/tratamiento farmacológico
5.
Nat Commun ; 12(1): 1757, 2021 03 19.
Artículo en Inglés | MEDLINE | ID: mdl-33741947

RESUMEN

Voluntary allocation of visual attention is controlled by top-down signals generated within the Frontal Eye Fields (FEFs) that can change the excitability of lower-level visual areas. However, the mechanism through which this control is achieved remains elusive. Here, we emulated the generation of an attentional signal using single-pulse transcranial magnetic stimulation to activate the FEFs and tracked its consequences over the visual cortex. First, we documented changes to brain oscillations using electroencephalography and found evidence for a phase reset over occipital sites at beta frequency. We then probed for perceptual consequences of this top-down triggered phase reset and assessed its anatomical specificity. We show that FEF activation leads to cyclic modulation of visual perception and extrastriate but not primary visual cortex excitability, again at beta frequency. We conclude that top-down signals originating in FEF causally shape visual cortex activity and perception through mechanisms of oscillatory realignment.


Asunto(s)
Lóbulo Frontal/fisiología , Estimulación Magnética Transcraneal/métodos , Corteza Visual/fisiología , Campos Visuales/fisiología , Percepción Visual/fisiología , Adulto , Algoritmos , Electroencefalografía/métodos , Femenino , Humanos , Masculino , Modelos Neurológicos , Lóbulo Occipital/fisiología , Estimulación Luminosa
6.
Sensors (Basel) ; 21(5)2021 Feb 24.
Artículo en Inglés | MEDLINE | ID: mdl-33668118

RESUMEN

Designing wearable systems for sleep detection and staging is extremely challenging due to the numerous constraints associated with sensing, usability, accuracy, and regulatory requirements. Several researchers have explored the use of signals from a subset of sensors that are used in polysomnography (PSG), whereas others have demonstrated the feasibility of using alternative sensing modalities. In this paper, a systematic review of the different sensing modalities that have been used for wearable sleep staging is presented. Based on a review of 90 papers, 13 different sensing modalities are identified. Each sensing modality is explored to identify signals that can be obtained from it, the sleep stages that can be reliably identified, the classification accuracy of systems and methods using the sensing modality, as well as the usability constraints of the sensor in a wearable system. It concludes that the two most common sensing modalities in use are those based on electroencephalography (EEG) and photoplethysmography (PPG). EEG-based systems are the most accurate, with EEG being the only sensing modality capable of identifying all the stages of sleep. PPG-based systems are much simpler to use and better suited for wearable monitoring but are unable to identify all the sleep stages.


Asunto(s)
Polisomnografía/instrumentación , Fases del Sueño , Dispositivos Electrónicos Vestibles , Electroencefalografía , Humanos , Fotopletismografía , Sueño
7.
Artículo en Ruso | MEDLINE | ID: mdl-33728850

RESUMEN

OBJECTIVE: To analyze a complex of EEG parameters and quantitative clinical evaluations of depressive-delusional conditions in patients with schizoaffective disorder and to clarify their neurophysiological mechanisms. MATERIAL AND METHODS: A study included 25 female patients, aged 22-40 years, with depressive-delusional conditions. Patients were assessed at baseline and after 4-6 weeks of treatment using HDRS and PANSS. EEG was recorded at each visit. RESULTS: Significant correlations were revealed between the values of pre-treatment background EEG spectral power in narrow frequency bands and quantitative pre-treatment and post-treatment scores of patient's clinical conditions. CONCLUSION: The results allow clarifying the brain mechanisms of depressive-delusional disorders and reveal possible EEG-predictors of therapeutic response in its treatment.


Asunto(s)
Trastornos Psicóticos , Adulto , Encéfalo , Electroencefalografía , Femenino , Humanos , Adulto Joven
8.
Nat Commun ; 12(1): 1423, 2021 03 03.
Artículo en Inglés | MEDLINE | ID: mdl-33658509

RESUMEN

In the mammalian hippocampus, adult-born granule cells (abGCs) contribute to the function of the dentate gyrus (DG). Disruption of the DG circuitry causes spontaneous recurrent seizures (SRS), which can lead to epilepsy. Although abGCs contribute to local inhibitory feedback circuitry, whether they are involved in epileptogenesis remains elusive. Here, we identify a critical window of activity associated with the aberrant maturation of abGCs characterized by abnormal dendrite morphology, ectopic migration, and SRS. Importantly, in a mouse model of temporal lobe epilepsy, silencing aberrant abGCs during this critical period reduces abnormal dendrite morphology, cell migration, and SRS. Using mono-synaptic tracers, we show silencing aberrant abGCs decreases recurrent CA3 back-projections and restores proper cortical connections to the hippocampus. Furthermore, we show that GABA-mediated amplification of intracellular calcium regulates the early critical period of activity. Our results demonstrate that aberrant neurogenesis rewires hippocampal circuitry aggravating epilepsy in mice.


Asunto(s)
Epilepsia/fisiopatología , Hipocampo/fisiopatología , Neurogénesis/fisiología , Animales , Calcio/metabolismo , Clozapina/análogos & derivados , Clozapina/farmacología , Modelos Animales de Enfermedad , Electroencefalografía , Epilepsia del Lóbulo Temporal/fisiopatología , Femenino , Ratones Endogámicos C57BL , Ratones Transgénicos , Neurogénesis/efectos de los fármacos , Neuronas/efectos de los fármacos , Neuronas/metabolismo , Neuronas/patología , Pilocarpina/farmacología , Retroviridae/genética , Convulsiones/fisiopatología , Ácido gamma-Aminobutírico/metabolismo
9.
Sensors (Basel) ; 21(5)2021 Feb 25.
Artículo en Inglés | MEDLINE | ID: mdl-33668757

RESUMEN

In face-to-face and online learning, emotions and emotional intelligence have an influence and play an essential role. Learners' emotions are crucial for e-learning system because they promote or restrain the learning. Many researchers have investigated the impacts of emotions in enhancing and maximizing e-learning outcomes. Several machine learning and deep learning approaches have also been proposed to achieve this goal. All such approaches are suitable for an offline mode, where the data for emotion classification are stored and can be accessed infinitely. However, these offline mode approaches are inappropriate for real-time emotion classification when the data are coming in a continuous stream and data can be seen to the model at once only. We also need real-time responses according to the emotional state. For this, we propose a real-time emotion classification system (RECS)-based Logistic Regression (LR) trained in an online fashion using the Stochastic Gradient Descent (SGD) algorithm. The proposed RECS is capable of classifying emotions in real-time by training the model in an online fashion using an EEG signal stream. To validate the performance of RECS, we have used the DEAP data set, which is the most widely used benchmark data set for emotion classification. The results show that the proposed approach can effectively classify emotions in real-time from the EEG data stream, which achieved a better accuracy and F1-score than other offline and online approaches. The developed real-time emotion classification system is analyzed in an e-learning context scenario.


Asunto(s)
Instrucción por Computador , Educación a Distancia , Electroencefalografía , Emociones , Algoritmos , Humanos , Aprendizaje Automático
10.
Sensors (Basel) ; 21(5)2021 Feb 25.
Artículo en Inglés | MEDLINE | ID: mdl-33668950

RESUMEN

In addition to helping develop products that aid the disabled, brain-computer interface (BCI) technology can also become a modality of entertainment for all people. However, most BCI games cannot be widely promoted due to the poor control performance or because they easily cause fatigue. In this paper, we propose a P300 brain-computer-interface game (MindGomoku) to explore a feasible and natural way to play games by using electroencephalogram (EEG) signals in a practical environment. The novelty of this research is reflected in integrating the characteristics of game rules and the BCI system when designing BCI games and paradigms. Moreover, a simplified Bayesian convolutional neural network (SBCNN) algorithm is introduced to achieve high accuracy on limited training samples. To prove the reliability of the proposed algorithm and system control, 10 subjects were selected to participate in two online control experiments. The experimental results showed that all subjects successfully completed the game control with an average accuracy of 90.7% and played the MindGomoku an average of more than 11 min. These findings fully demonstrate the stability and effectiveness of the proposed system. This BCI system not only provides a form of entertainment for users, particularly the disabled, but also provides more possibilities for games.


Asunto(s)
Interfaces Cerebro-Computador , Aprendizaje Profundo , Teorema de Bayes , Electroencefalografía , Humanos , Reproducibilidad de los Resultados
11.
Sensors (Basel) ; 21(4)2021 Feb 12.
Artículo en Inglés | MEDLINE | ID: mdl-33673137

RESUMEN

Among various methods for frequency recognition of the steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) study, a task-related component analysis (TRCA), which extracts discriminative spatial filters for classifying electroencephalogram (EEG) signals, has gathered much interest. The TRCA-based SSVEP method yields lower computational cost and higher classification performance compared to existing SSVEP methods. In spite of its utility, the TRCA-based SSVEP method still suffers from the degradation of the frequency recognition rate in cases where EEG signals with a short length window are used. To address this issue, here, we propose an improved strategy for decoding SSVEPs, which is insensitive to a window length by carrying out two-step TRCA. The proposed method reuses the spatial filters corresponding to target frequencies generated by the TRCA. Followingly, the proposed method accentuates features for target frequencies by correlating individual template and test data. For the evaluation of the performance of the proposed method, we used a benchmark dataset with 35 subjects and confirmed significantly improved performance comparing with other existing SSVEP methods. These results imply the suitability as an efficient frequency recognition strategy for SSVEP-based BCI applications.


Asunto(s)
Interfaces Cerebro-Computador , Electroencefalografía , Potenciales Evocados Visuales , Algoritmos , Humanos , Estimulación Luminosa , Fenómenos Físicos
12.
J Investig Med High Impact Case Rep ; 9: 2324709620986302, 2021.
Artículo en Inglés | MEDLINE | ID: mdl-33648382

RESUMEN

With the outbreak of COVID-19 (coronavirus disease 2019) as a global pandemic, various of its neurological manifestations have been reported. We report a case of a 54-year-old male with new-onset seizure who tested positive for severe acute respiratory syndrome coronavirus 2 from a nasopharyngeal swab sample. Investigative findings, which included contrast-enhancing right posterior temporal lobe T2-hyperintensity on brain magnetic resonance imaging, right-sided lateralized periodic discharges on the electroencephalogram, and elevated protein level on cerebrospinal fluid analysis, supported the diagnosis of possible encephalitis from COVID-19 infection. The findings in this case are placed in the context of the existing literature.


Asunto(s)
Encéfalo/diagnóstico por imagen , Encefalitis Límbica/epidemiología , Pandemias , Convulsiones/etiología , Comorbilidad , Electroencefalografía , Humanos , Encefalitis Límbica/complicaciones , Imagen por Resonancia Magnética , Masculino , Persona de Mediana Edad , Convulsiones/diagnóstico
13.
Artículo en Inglés | MEDLINE | ID: mdl-33669544

RESUMEN

We aimed to determine the neurophysiological pattern that is associated with the development of musculoskeletal pain that is induced by biomechanical constraints. Twelve (12) young healthy volunteers (two females) performed two experimental realistic manual tasks for 30 min each: (1) with the high risk of musculoskeletal pain development and (2) with low risk for pain development. During the tasks, synchronized electroencephalographic (EEG) and electromyography (EMG) signals data were collected, as well as pain scores. Subsequently, two main variables were computed from neurophysiological signals: (1) cortical inhibition as Task-Related Power Increase (TRPI) in beta EEG frequency band (ß.TRPI) and (2) muscle variability as Coefficient of Variation (CoV) from EMG signals. A strong effect size was observed for pain measurement under the high risk condition during the last 5 min of the task execution; with muscle fatigue, because the CoV has decreased below 18%. An increase in cortical inhibition (ß.TRPI >50%) was observed after the 5th min of the task in both experimental conditions. These results suggest the following neurophysiological pattern-ß.TRPI ≥ 50% and CoV ≤ 18%-as a possible indicator to monitor the development of musculoskeletal pain in the shoulder in the context of repeated and prolonged exposure to manual tasks.


Asunto(s)
Electroencefalografía , Electromiografía , Músculo Esquelético/fisiopatología , Enfermedades Musculoesqueléticas/diagnóstico , Dolor Musculoesquelético/diagnóstico , Adulto , Trastornos de Traumas Acumulados/diagnóstico , Femenino , Humanos , Masculino , Fatiga Muscular , Hombro , Adulto Joven
17.
Arq Neuropsiquiatr ; 79(1): 15-21, 2021 01.
Artículo en Inglés | MEDLINE | ID: mdl-33656102

RESUMEN

BACKGROUND: The importance of simultaneous 2-lead electrocardiogram (ECG) recording during routine electroencephalogram (EEG) has been reported several times on clinical grounds. OBJECTIVE: To investigate arrhythmia rates detected by simultaneous 2-lead ECG in our patient sample undergoing routine EEG. Remarkably, we sought to assess the possible expansion of results with a more experienced interpretation of simultaneous ECG. METHODS: Simultaneous 2-lead ECG recordings during routine EEG, performed between January and March, 2016, have been retrospectively analyzed by a cardiology specialist. In addition, EEG reports were screened with the keywords 'arrhythmia, tachycardia, bradycardia, atrial fibrillation, extrasystole' to evaluate the neurologist interpretation. RESULTS: Overall, 478 routine EEG recordings were scanned. The mean age of the patients was 42.8±19.8 (16-95), with a sex ratio of 264/214 (F/M). In 80 (17%) patients, findings compatible with arrhythmia were identified on simultaneous ECG after a cardiologist's evaluation. The detected arrhythmia subtypes were: ventricular extrasystole (n=27; 5.6%), supraventricular extrasystole (n=23; 4.8%), tachycardia (n=9; 1.8%), prolonged QRS duration (n=7; 8.7%), atrial fibrillation (n=6; 1.2%), and block (n=6; 1.2%). On the other hand, keywords related to arrhythmia were present in 45 (9.4%) of EEG reports. The reported statements were tachycardia (3.3%), arrhythmia (2.5%), bradycardia (2.1%), and extrasystole (1.5%). CONCLUSIONS: A considerably high rate of arrhythmia cases was determined on simultaneous ECG during routine EEG after being interpreted by a cardiologist. However, the screening results of EEG reports revealed relatively low arrhythmia rates. These results suggest that the detection rates of ECG abnormalities during routine EEG may be potentially improved.


Asunto(s)
Fibrilación Atrial , Cardiólogos , Electrocardiografía , Electroencefalografía , Humanos , Estudios Retrospectivos
19.
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue ; 33(2): 207-210, 2021 Feb.
Artículo en Chino | MEDLINE | ID: mdl-33729141

RESUMEN

OBJECTIVE: To investigate the value of quantitative electroencephalography (qEEG) in the evaluation of thrombolytic efficacy in acute cerebral infarction. METHODS: A prospective cohort study was conducted. Ninety-four patients with acute cerebral infarction who received intravenous thrombolysis admitted to the department of emergency of Qinhuangdao First Hospital from October 2019 to September 2020 were enrolled. The relative energy values of δ, θ, α and ß waves in qEEG before and 2 hours, 24 hours and 7 days after intravenous recombinant tissue plasminogen activator (rt-PA) thrombolysis were dynamically monitored, and the power ratio index [DTABR, DTABR = (δ+θ)/(α+ß)] was calculated. The National Institutes of Health stroke scale (NIHSS) score was also recorded. The reduction of NIHSS score ≥ 3 or the disappearance of neurological symptoms were regarded as effective thrombolytic therapy. The changes of DTABR before and after thrombolysis in patients with effective and ineffective thrombolysis were analyzed, and the correlation between DTABR and NIHSS score was analyzed by Pearson method. RESULTS: A total of 94 patients were enrolled, including 64 males and 30 females. The average age was (61.71±10.11) years from 36 to 89 years old. Thrombolysis was effective in 57 cases and ineffective in 37 cases. Compared with before thrombolysis, DTABR of the effective group was significantly decreased at 2 hours, 24 hours and 7 days after thrombolysis (left cerebral infarction: 1.87±1.45, 1.59±0.88, 1.58±0.90 vs. 3.82±2.60; right cerebral infarction: 1.55±0.57, 1.41±0.50, 1.35±0.44 vs. 3.20±1.63, all P < 0.05). DTABR did not change or increase significantly at 2 hours, 24 hours and 7 days after thrombolysis compared with before thrombolysis (left cerebral infarction: 3.56±2.57, 3.48±2.19, 3.54±2.50 vs. 3.11±1.62; right cerebral infarction: 5.29±3.93, 5.33±3.94, 5.19±4.52 vs. 4.73±2.43, all P > 0.05). Pearson correlation analysis showed a significant positive correlation between DTABR and NIHSS score in patients with acute cerebral infarction (r = 0.691, P < 0.01). CONCLUSIONS: The quantitative index of qEEG, DTABR, can accurately and quickly monitor the process of thrombolysis in acute cerebral infarction, and can effectively evaluate the effect of thrombolysis in patients.


Asunto(s)
Accidente Cerebrovascular , Activador de Tejido Plasminógeno , Adulto , Anciano , Anciano de 80 o más Años , Infarto Cerebral/tratamiento farmacológico , Electroencefalografía , Femenino , Humanos , Masculino , Persona de Mediana Edad , Estudios Prospectivos , Terapia Trombolítica , Activador de Tejido Plasminógeno/uso terapéutico , Resultado del Tratamiento
20.
Artículo en Inglés | MEDLINE | ID: mdl-33530431

RESUMEN

Background: Epilepsy associated with strokes is a significant clinical and public health problem and has a negative impact on prognosis and clinical outcome. A late epileptic seizure occurring seven days after stroke is actually equated with poststroke epilepsy due to the high risk of recurrence. Predictive models evaluated in the acute phase of stroke would allow for the stratification and early selection of patients at higher risk of developing late seizures. Methods: The most relevant papers in this field were reviewed to establish multifactorial predictors of late seizures and attempt to standardize and unify them into a common prognostic model. Results: Clinical and radiological factors have become the most valuable and reproducible predictors in many reports, while data on electroencephalographic, genetic, and blood biomarkers were limited. The existing prognostic models, CAVE and SeLECT, based on relevant, readily available, and routinely assessed predictors, should be validated and improved in multicenter studies for widespread use in stroke units. Conclusions: Due to contradictory reports, a common and reliable model covering all factors is currently not available. Further research might refine forecasting models by incorporating advanced radiological neuroimaging or quantitative electroencephalographic analysis.


Asunto(s)
Epilepsia , Accidente Cerebrovascular , Electroencefalografía , Epilepsia/diagnóstico , Epilepsia/epidemiología , Epilepsia/etiología , Humanos , Pronóstico , Factores de Riesgo , Convulsiones/diagnóstico , Convulsiones/epidemiología , Convulsiones/etiología
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