Crisis neonatales: evaluacion, diagnostico y tratamiento / Neonatal seizures: evaluation, diagnosis, and treatment

Resumen Las crisis convulsivas tienen una alta incidencia en la etapa neonatal, representando la principal manifes tación de disfunción neurológica. Ciertas condiciones fisiológicas del cerebro neonatal facilitan su aparición. Su diagnóstico puede ser un reto debido a que su semio logía no es tan clara comparado con niños mayores, y además, es necesario la confirmación por medio de EEG continuo o aEEG. Su reconocimiento oportuno es muy importante para un adecuado tratamiento y así evitar un impacto negative en el pronóstico a largo plazo. En la siguiente revisión, recapitulamos la fisiopatología, las causas y la clasificación de las crisis convulsivas neo natales, además de su correcto abordaje y las mejores opciones terapéuticas para su tratamiento dependiendo de la causa.

Abstract Seizures have a high incidence in the neonatal stage, being the main manifestation of neurological dysfunc tion. Certain physiological conditions of the neonatal brain facilitate its appearance. Its diagnosis can be a challenging because its semiology is not as clear as in older children, furthermore, confirmation by either EEG or aEEG is necessary. Its timely recognition is very im portant for adequate treatment and thus avoid a nega tive impact on the long-term outcome. In the following review, we recapitulate the pathophysiology, causes, and classification of neonatal seizures, as well as their correct approach and the best therapeutic options for their treatment depending on the cause.

NEONATAL SEIZURES: NARRATIVE REVIEW

Neonatal seizures are often complex and difcult to recognize, but can be identied through electroencephalogram (EEG) monitoring. The Brighton Collaboration has developed a scheme with ve levels of diagnostic certainty to guide treatment decisions when EEG is not available. Different seizure types are usually associated with specic underlying causes, which may require specic diagnostic and treatment approaches. Neonatal seizures require prompt management, including the stabilization of cardiovascular and respiratory function and the identication of the underlying cause. EEG monitoring is considered essential for the detection of seizures and should be performed until the neonate has been seizure-free for 12 to 24 hours. Treatment involves the use of antiseizure medication and may include pyridoxine challenge or other treatment options such as the ketogenic diet, intravenous immunoglobulin, or corticosteroids if seizures are refractory to conventional antiseizure medication. It is important to differentiate between seizures and nonepileptic motor phenomena, which can occur without obvious cause or as symptoms of drug withdrawal, electrolyte abnormalities, hypoglycemia, or infection. Neuroimaging is also considered essential for the detection of possible structural abnormalities in neonates with seizures.

Construction of an epileptic seizure prediction model using a semi-supervised method of generative adversarial and long short term memory network combined with Stockwell transform / 南方医科大学学报

OBJECTIVE@#To propose a semi-supervised epileptic seizure prediction model (ST-WGAN-GP-Bi-LSTM) to enhance the prediction performance by improving time-frequency analysis of electroencephalogram (EEG) signals, enhancing the stability of the unsupervised feature learning model and improving the design of back-end classifier.@*METHODS@#Stockwell transform (ST) of the epileptic EEG signals was performed to locate the time-frequency information by adaptive adjustment of the resolution and retaining the absolute phase to obtain the time-frequency inputs. When there was no overlap between the generated data distribution and the real EEG data distribution, to avoid failure of feature learning due to a constant JS divergence, Wasserstein GAN was used as a feature learning model, and the cost function based on EM distance and gradient penalty strategy was adopted to constrain the unsupervised training process to allow the generation of a high-order feature extractor. A temporal prediction model was finally constructed based on a bi-directional long short term memory network (Bi-LSTM), and the classification performance was improved by obtaining the temporal correlation between high-order time-frequency features. The CHB-MIT scalp EEG dataset was used to validate the proposed patient-specific seizure prediction method.@*RESULTS@#The AUC, sensitivity, and specificity of the proposed method reached 90.40%, 83.62%, and 86.69%, respectively. Compared with the existing semi-supervised methods, the propose method improved the original performance by 17.77%, 15.41%, and 53.66%. The performance of this method was comparable to that of a supervised prediction model based on CNN.@*CONCLUSION@#The utilization of ST, WGAN-GP, and Bi-LSTM effectively improves the prediction performance of the semi-supervised deep learning model, which can be used for optimization of unsupervised feature extraction in epileptic seizure prediction.

Characteristics and research progress of resting-state EEG microstates in patients with schizophrenia / 四川精神卫生

The purpose of this article is to identify the characteristics and research progress of resting-state EEG microstates in patients with schizophrenia， in order to provide references for clinical research of schizophrenia from the perspective of neuroelectrophysiology. In September 2022， literature was retrieved from CNKI， Wanfang Data Knowledge Service Platform and PubMed database， and 27 studies meeting the requirements were finally included. Previous studies have demonstrated that patients with schizophrenia show increased presence of microstate class C and decreased presence of microstate class D in resting-state recordings， and the two commonly EEG microstate classes have been suggested as a potential endophenotype for schizophrenia. Although the correlation between psychiatric symptoms and resting-state EEG microstate abnormalities in patients with schizophrenia remains unclear， the altered resting-state EEG microstates in patients before and after treatment have undoubtedly validated its clinical significance.

A Clinical Correlation of EEG Changes in Relation to Ischaemic Stroke on its Prognosis as per Location

Background : Stroke is a common, potentially devastating disease with potential high morbidity and mortality. EEG (Electro-encephalogram), functional representation of electrical activity of brain, changes are closely tied to CBF (Cerebral Blood Flow). Thus EEG is useful to establish the location of Ischaemic CVA (Cerebro-vascular accident). It can also prognosticate Ischaemic stroke. Aims & Objectives : (1) To assess the grade and severity of clinical manifestations in acute ischaemic stroke patients by clinical scoring following admission. (2) To obtain EEG findings of ischaemic stroke patients following admission and after 1 month. (3) To assess the morbidity of ischaemic stroke patients by Modified Rankin Scale after 1 month. (4) To correlate EEG changes according to the clinical outcome and according to the site of involvement of ischaemic stroke. Materials and Methods : 90 Patients were selected during the study period as per the inclusion and exclusion criteria. Clinical scoring was done by NIHSS (National Institute of Health Scoring System). CT (Computed Tomography) scan of brain and MRI (Magnetic Resonance Imaging) Brain with DWI (Diffusion Weighted Image) extension was done. EEG findings on admission of morbidity was done by Modified Rankin Score on follow up after 1 month was noted. EEG findings after 1 month was noted on follow up. Assessment Clinical correlation was compared with EEG changes. All the data were collected and analysed by statistical software SPSS version 20. Results : The mean MRS (Modified Rankin Score) after 1 month for abnormal EEG on admission was 4.50 in comparison to score of 3.36 in case of normal EEG. The p value of this association was 0.003 and was considered significant. Conclusions : Normal EEG and focal slowing of EEG was mostly noted in MCA (Middle Cerebral Artery) and PCA (Posterior Cerebral Artery) infarcts involving the cortical region. Those with normal EEG findings had good clinical outcome in comparison to those with abnormal findings in EEG

Fusión de datos multimodales de neurociencias generados en estudios EEG-fMRI, un análisis temático / Fusion of Multimodal Neuroscience Data Generated in EEG-fMRI Studies, a Thematic Analysis

La actividad cerebral tiene múltiples atributos, entre ellos los eléctricos, metabólicos, hemodinámicos y hormonales. Los métodos modernos para estudiar las funciones cerebrales como el PET (Tomografía por Emisión de Positrones), fMRI (Imagen de Resonancia Magnética Funcional) y MEG (Magnetoencefalograma) son ampliamente utilizados por los científicos. Sin embargo, el EEG es una herramienta utilizada para la investigación y diagnóstico debido a su bajo costo, simplicidad de uso, movilidad y la posibilidad de monitoreo a largo tiempo de adquisición. Para detectar e interpretar las características relevantes de estas señales, se describe cada proceso por su escala temporal (EEG) y espacial (fMRI). La presente investigación se enfoca en realizar una revisión bibliográfica sobre la integración de datos multimodales EEG-fMRI que propicie valorar su importancia para el desarrollo de algoritmos de fusión y su uso en el contexto cubano. Para ello se analizaron documentos con altos índices de citas en la literatura, donde se destacan autores precursores de los temas en análisis. Los estudios multimodales EEG-fMRI generan múltiples datos temporales y espaciales con alto valor para la medicina basada en evidencia. La integración de los mismos provee un valor agregado en la búsqueda de nuevos métodos diagnósticos, aplicando minería de datos, Deep learning y algoritmos de fusión. En este trabajo se pone de relieve la existencia de baja resolución temporal de fMRI y por otro lado la baja resolución espacial de EEG, por lo que la integración de ambos estudios aumentaría la calidad de su información(AU)

Brain activity has multiple attributes, including electrical, metabolic, hemodynamic, and hormonal. Modern methods for studying brain functions such as PET (Positron Emission Tomography), fMRI (Functional Magnetic Resonance Imaging), and MEG (Magnetoencephalogram) are widely used by scientists. However, the EEG is a tool used for research and diagnosis due to its low cost, simplicity of use, mobility and the possibility of long-term monitoring of acquisition. To detect and interpret the relevant characteristics of these signals, each process is described by its temporal (EEG) and spatial (fMRI) scale. The present research focuses on conducting a bibliographic review on the integration of multimodal EEG-fMRI data that favors assessing its importance for the development of fusion algorithms and their use in the Cuban context. For this, documents with high rates of citations in the literature were analyzed, where precursor authors of the topics under analysis stand out. Multimodal EEG-fMRI studies generate multiple temporal and spatial data with high value for evidence-based medicine. Their integration provides added value in the search for new diagnostic methods, applying data mining, Deep learning and fusion algorithms. This work highlights the existence of low temporal resolution of fMRI and, on the other hand, the low spatial resolution of EEG, so the integration of both studies would increase the quality of their information(AU)

Correlation of Clinical Profile and Electroencephalographic Finding in Hypoxic-Ischemic Encephalopathy in a Tertiary Care Hospital: A Single-Center Experience from Bangladesh

Background: Perinatal asphyxia and resultant hypoxic-ischemic encephalopathy (HIE) is not an uncommon phenomenon in a developing country, like Bangladesh. Electroencephalogram (EEG) is regarded as an effective prognostic tool. Correlation of clinical profiles and EEG findings of HIE patients arenot commonly observed in Bangladesh. The aim of the study was to observe the clinical profile and EEG changes in different stages of hypoxic-ischemic encephalopathy and compare them in a tertiary care hospital.Material & Methods:This is a cross-sectional observational study conducted for a period of six months in Dhaka Medical College Hospital, Dhaka. Sarnat and Sarnat score was used to classify HIE. 20 asphyxiated neonates without HIE were selected as the control group (group II) while 30asphyxiated neonates with HIE, were selected as the case group (group I) by purposive sampling. Clinical profiles, EEG findings, and immediate outcomes were observed and compared between the two groups.Results:73.3% patients were delivered at term and 30% patients were delivered at home in group I. 70% patients’ delivery were conducted by doctor in group I and 75% in group II. 63.3% patients had meconium stain in group I and 25% in group II, which was found significant. 46.7% had prolong labor in group I and 20% in group II, 40% had premature ruptured membrane (PROM) in group I and 40% in group II. Hypothermia, weak primitive reflexes, hypotonia, lethargy and seizure were significantly higher in group I. Changes in EEG correlated between the two groups and was found significant. Also, patients in group I, needed prolong hospital stay.Conclusions:The clinical profiles and EEG changes in patients with hypoxic ischemic encephalopathy was concluded that there is significant association with meconium stain, seizure, hypothermia, weak primitive reflexes, lethargic, miosis, hypotonia, poor APGAR score, burst suppression & SET findings in EEG and prolonged hospital stay in prenatal asphyxia with hypoxic ischemic encephalopathy.

Eventos paroxísticos que se confunden con epilepsia / Paroxysmal events that are confused with epilepsy

Resumen Los eventos paroxísticos no epilépticos (EPNE) se definen como episodios de aparición brusca y de breve duración que imitan a una crisis epiléptica, originados por una disfunción cerebral de origen diverso y a diferencia de la epilepsia no obedecen a una descarga neuronal excesiva. Su incidencia es mucho más elevada que la epilepsia y pueden aparecer a cualquier edad, pero son más frecuentes en los primeros años de vida. La inmadurez del sistema nervioso central en la infancia favorece que en este período las manifestaciones clínicas sean muy floridas y diferentes de otras edades. Fenómenos normales y comunes en el niño pueden también confundirse con crisis epilépticas. El primer paso para un diagnóstico correcto es establecer si este primer episodio corresponde a una crisis epiléptica o puede tratarse de un primer episodio de EPNE. Es importante seguir un protocolo de diagnóstico, valorando los antecedentes personales y familiares, sin olvidar el examen físico, analizar los posibles factores desencadenantes, los pormenores de cada episodio, si es posible un registro de los episodios, aplicar el sentido común y la experiencia y solamente proceder a los exámenes complementarios básicos como el registro EEG u otras exploraciones en caso de duda o para con firmación diagnóstica. En algunos casos se ha demostrado una base genética. Las opciones terapéuticas son escasas y la mayoría de EPNE tienen una evolución favorable.

Abstract Non-epileptic paroxysmal events (NEPE) are defined as episodes of sudden onset and short duration that mimic an epileptic seizure, caused by a brain dysfunction of diverse origin and, unlike epilepsy, are not due to excessive neuronal discharge. Its incidence is much higher than epilepsy and can appear at any age, but are more frequent in the first years of life. The immaturity of the central nervous system in childhood favors that in this period the clinical manifestations are more spectacular and different from other ages. Normal and common phenomena in children can also be confused with epileptic seizures. The first step for a correct diagnosis is to establish whether this first episode corresponds to an epileptic seizure or could be a first episode of NEPE. It is important to follow a diagnostic protocol, assessing the personal and family history, without forgetting the physical examination, analyzing the possible triggering factors, the details of each episode, if it's possible a record of the episodes, applying common sense and experience and only carrying out basic complementary tests such as EEG recording or others in case of doubt or for diagnostic confirmation. In some cases, a genetic basis has been demonstrated. Therapeutic op tions are scarce and the majority of NEPE have a favorable evolution.

EEG microstates in resting condition in young indians

Objectives: The map topography analysis gives an idea of temporal dynamics of electric fields, which is reference independent, making the results unambiguous. These topographic maps remain stable for 80 to 100 milliseconds, abruptly shifting to a new topographic map configuration and remains stable in that state are called the ‘functional microstates’ as described by Lehmann et al (1987). There has been no study done in the resting state eye closed and eye open conditions showing the microstate maps in healthy Indian subjects in resting eyes open and resting eyes closed condition using 128 channel EEG. So our study aim was to assess the microstates in resting eyes closed and eyes open condition. And to compare the microstate parameters such as mean duration, global explained variance (GEV) and time coverage between eyes closed and eyes open condition. Materials and Methods: A cross-sectional and observational study on 20 indian subjects (Mean age- 26.65 and (SD) - 2.78 years) was done on resting eyes closed and eyes open conditions. After EEG acquisition using 128 channel EEG machine, EEG was preprocessed and microstate analysis using CARTOOL software was performed on the EEG data. Results: After microstate analysis four maps topography were obtained. There was statistically non-significant difference observed in microstate maps between resting eyes closed and resting eyes open condition for the all parameters i.e. mean duration, time coverage and GEV. Conclusion: Our findings suggests that, both eyes closed and eyes open conditions were similar to each other in terms of stability and predominance of Maps

Hallazgos electroencefalográficos compatibles con encefalopatía en pacientes ingresados por covid-19 / Electroencephalographic findings compatible with encephalopathy in patients admitted for COVID-19

RESUMEN INTRODUCCIÓN: La covid-19 afecta principalmente al aparato respiratorio, sin embargo, también se ha descrito afectación tanto directa como indirecta en el sistema nervioso central y periférico, lo cual ocasiona una gran variedad de manifestaciones neurológicas, siendo la encefalopatía una de las más frecuentemente observadas. OBJETIVO: Se busca mostrar la utilidad del video-electroencefalograma (vEEG) en el diagnóstico de encefalopatía en pacientes ingresados por covid-19, así como su valor para determinar el pronóstico de estos pacientes. MÉTODOS: Estudio observacional retrospectivo con 76 vEEG de 41 pacientes con covid-19 confirmada. Los estudios se han realizado entre los meses de marzo del 2020 y junio del 2021. Se estudió la gravedad de la enfermedad, así como sus características clínicas y neurológicas, el tratamiento farmacológico y los hallazgos electroencefalográficos según el grado de disfunción de la encefalopatía que desarrollaron estos pacientes. RESULTADOS: De los 41 pacientes, 12 (29 %) presentaron signos electroencefalográficos de disfunción cerebral leve, 15 (37 %) disfunción cerebral moderada y 14 (34 %) disfunción cerebral severa, los cuales se asociaron con una mayor mortalidad. CONCLUSIONES: En los 76 vEEG realizados a los 41 pacientes ingresados con encefalopatías asociadas con infección por covid-19, no se observó un patrón distinto a los descritos en encefalopatías de otras etiologías. El vEEG fue útil para confirmar la sospecha clínica de una disfunción cerebral en pacientes con encefalopatías asociadas con infección por covid-19 y para asignarle un grado de severidad, confirmando su beneficio como biomarcador diagnóstico y pronóstico.

ABSTRACT INTRODUCTION: COVID-19 mainly affects the respiratory system; however, both direct and indirect involvement of the central and peripheral nervous system has also been described, causing a wide variety of neurological manifestations, with encephalopathy being one of the most frequently observed neurological manifestations. OBJECTIVE: With this article we intend to show the usefulness of vEEG in the diagnosis of encephalopathy in patients referred for COVID-19 who develop this neurological complication, as well as its value in determining the prognosis of these patients. METHODS: Retrospective observational study with 76 video-electroencephalograms of 41 patients with confirmed COVID-19 infection. The studies were performed during the months of March 2020 through June 2021. Disease severity, clinical and neurological features, pharmacological treatment and electroencephalographic indings were studied according to the degree of encephalopathy dysfunction these patients developed. RESULTS: Of the 41 patients, 12 (29 %) presented electroencephalographic signs of mild cerebral dysfunction, 15 (37 %) moderate cerebral dysfunction, and 14 (34 %) severe cerebral dysfunction, which were associated with higher mortality. CONCLUSIONS: In the 76 vEEG performed in the 41 patients admitted with encephalopathies associated with COVID-19 infection, no pattern different from that described in encephalopathies of other etiologies was observed. The vEEG was useful to confirm the clinical suspicion of brain dysfunction in patients with encephalopathies associated with COVID-19 infection and to assign a degree of severity, confirming its benefit as a diagnostic and prognostic biomarker.

Silent speech of vowels in persons of different cognitive styles / Habla silenciosa de las vocales en personas de diferente estilo cognitivo

Abstract Introduction: This research measures the differences in silent speech of the vowels / a / - / u / in Spanish, in students with different cognitive styles in the Field Dependence - Independence (FDI) dimension. Method: Fifty-one (51) adults participated in the study. Electroencephalographic (EEG) signals were taken from 14 electrodes placed on the scalp in the language region located in the left hemisphere. Previously, the embedded figures test (EFT) was applied in order to classify them into dependent, intermediate and field independent persons. To analyse the EEG data, the signals were decomposed into intrinsic mode functions (IMF) and a mixed repeated measures analysis was performed. Results: It was found that the Power Spectral Density (PSD) in the vowels is independent of the cognitive style and its magnitude depends on the position of the electrodes. Conclusions: The results suggest that there are no significant differences in PSDs in the silent speech of vowels /a/-/u/ in persons of different cognitive styles. Significant differences were found in the PSDs according to the position of the 14 electrodes used. In our configuration, the silent speech of vowels can be studied using electrodes placed in premotor, motor and Wernicke areas.

Resumen Introducción: La investigación mide las diferencias en el habla silenciosa de las vocales /a/-/u/ en español, en estudiantes de diferente estilo cognitivo en la dimensión Dependencia - Independencia de campo (DIC). Método: En el estudio participaron 51 adultos. Se tomaron señales electroencefalográficas (EEG), a partir de 14 electrodos dispuestos sobre el cuero cabelludo de la región del lenguaje ubicada en el hemisferio izquierdo. Previamente les fue aplicado el test de figuras enmascaradas EFT con el fin de clasificarlos en personas dependientes, intermedios e independientes de campo. Para analizar los datos del EEG se descompusieron las señales en funciones de modo intrínseco (IMF) y se realizó un análisis mixto de medidas repetidas. Resultados: Se halló que la densidad espectral de potencia (PSD) en las vocales es independiente del estilo cognitivo y su magnitud depende de la posición de los electrodos. Conclusión: Los resultados sugieren que no existen diferencias significativas en los PSD en el habla silenciosa de las vocales /a/-/u/ en las personas de diferente estilo cognitivo. Se hallaron diferencias significativas en los PSD de acuerdo con la posición de los 14 electrodos utilizados. En nuestra configuración, el habla silenciosa de las vocales puede ser estudiada mediante electrodos situados en las áreas premotora, motora y de Wernicke.

Neonatal Seizures—Perspective in Low-and Middle-Income Countries

Neonatal seizures are the commonest neurological emergency and are associated with poor neurodevelopmental outcome. While they are generally difcult to diagnose and treat, they pose a signifcant clinical challenge for physicians in low- and middle-income countries (LMIC). They are mostly provoked seizures caused by an acute brain insult such as hypoxic– ischemic encephalopathy (HIE), ischemic stroke, intracranial hemorrhage, infections of the central nervous system, or acute metabolic disturbances. Early onset epilepsy syndromes are less common. Clinical diagnosis of seizures in the neonatal period are frequently inaccurate, as clinical manifestations are difcult to distinguish from nonseizure behavior. Additionally, a high proportion of seizures are electrographic-only without any clinical manifestations, making diagnosis with EEG or aEEG a necessity. Only focal clonic and focal tonic seizures can be diagnosed clinically with adequate diagnostic certainty. Prompt diagnosis and timely treatment are important, with evidence suggesting that early treatment improves the response to antiseizure medication. The vast majority of published studies are from high-income countries, making extrapolation to LMIC impossible, thus highlighting the urgent need for a better understanding of the etiologies, comorbidities, and drug trials evaluating safety and efcacy in LMIC. In this review paper, the authors present the latest data on etiology, diagnosis, classifcation, and guidelines for the management of neonates with the emphasis on low-resource settings.

An Adaptive Method for Detecting and Removing EEG Noise / 中国医疗器械杂志

To solve the problem of real-time detection and removal of EEG signal noise in anesthesia depth monitoring, we proposed an adaptive EEG signal noise detection and removal method. This method uses discrete wavelet transform to extract the low-frequency energy and high-frequency energy of a segment of EEG signals, and sets two sets of thresholds for the low-frequency band and high-frequency band of the EEG signal. These two sets of thresholds can be updated adaptively according to the energy situation of the most recent EEG signal. Finally, we judge the level of signal interference according to the range of low-frequency energy and high-frequency energy, and perform corresponding denoising processing. The results show that the method can more accurately detect and remove the noise interference in the EEG signal, and improve the stability of the calculated characteristic parameters.

Evaluation of Mental Workload in Working Memory Tasks with Different Information Types Based on EEG / 中国医疗器械杂志

OBJECTIVE@#Exploring the effectiveness of using EEG linear and nonlinear features for accessing mental workload in different tasks.@*METHODS@#Working memory tasks with different information types and various mental loads were designed based on N-Back paradigm. EEG signals from 18 normal adults were acquired when tasks were being performed. Linear and nonlinear features of EEGs were then extracted. Indices that can effectively reflect mental workload levels were selected by using multivariate analysis of variance statistical approach.@*RESULTS@#With the increment of task load, power of frontal Theta, Theta/Alpha ratio, and sample entropies (scales>10) in parietal regions increased significantly first and decreased slightly then, while the power of central-parietal Alpha decreased significantly first and increased slightly then. No difference in power of frontal Theta, central-parietal Alpha, and sample entropies (scales>10) of parietal regions were found between verbal and object tasks, as well as between two spatial tasks. No difference of frontal Theta/Alpha ratio was found in all the four tasks.@*CONCLUSIONS@#The results can provide evidence for the mental workload evaluation in tasks with different information types.

Portable Multi Channel EEG Signal Acquisition System / 中国医疗器械杂志

This study introduces a portable multi-channel EEG signal acquisition system. The system is mainly composed of EEG electrode connector, signal conditioning circuit, EEG acquisition part, main control MCU and power supply part. The low-power EEG acquisition front-end ADS1299 and STM32 are used to form the signal acquisition and data communication part. The collected EEG signal can be transmitted to the PC for real-time display. After relevant tests, the system has small volume, low power consumption, high signal-to-noise ratio, and meets the requirements of portable wearable medical devices.

Cognitive training on the solving of mathematical problems: an EEG study in young men / Entrenamiento cognitivo en la resolución de problemas matemáticos: un estudio de EEG en hombres jóvenes

Abstract. Objective. This study characterized the electroencephalographic correlation (rEEG) between prefrontal and parietalcortices in young men while solving logical-mathematical problems after 18 sessions of cognitive training. Method. Two training groups were formed: one trained with gradually increased complexity (CT), the other with no increase in complexity (ST). Results. CT had a greater number of correct responses in the post-training evaluation than ST and showed a higher correlation between the left frontopolar-parietal cortices in almost all EEG bands, and between the dorsolateral-parietal cortices in the alpha1 band while solving math problems post-training. Results suggest that major functional synchronization between the left prefrontal and parietal cortices plays an important role in improving mathematical problem-solving after cognitive training.

Resumen Objetivo. El presente estudio caracteriza la correlación electroencefalográfica (rEEG) entre las cortezas prefrontal y parietal en hombres jóvenes durante la resolución de problemas lógico-matemáticos después de 18 sesiones de entrenamiento cognitivo. Método. Se formaron dos grupos de entrenamiento: uno entrenado con un incremento gradual de complejidad (CT) y el otro sin incremento de complejidad (ST). Resultados. El grupo CT presentó un mayor número de respuestas correctas que el grupo ST en la evaluación post entrenamiento, a su vez mostró un incremento en la correlación entre las cortezas frontopolar y parietal izquierdas en la mayoría de las bandas, así como entre las cortezas dorsolateral y parietal en la banda alfa1 durante la resolución de problemas posterior al entrenamiento. Los resultados sugieren que el incremento en la sincronización funcional entre las cortezas prefrontal y parietal izquierdas juega un rol importante en la resolución de problemas matemáticos después del entrenamiento cognitivo.

Design of Portable EEG and Blood Oxygen Synchronous Acquisition System / 中国医疗器械杂志

In order to obtain comprehensive brain activity information conveniently in real time, this study designs a portable EEG and blood oxygen synchronous acquisition system for real-time monitoring of brain functional activities. The EEG electrodes filter and amplify the detected EEG signals, and send them to the microprocessor via Bluetooth to analyze the EEG data; the photoelectric probe converts the optical signals into electrical signals, which are amplified and separated, filtered, and AD converted, calculates the brain's oxygenation and blood-red protein (ΔHbO

Audio-visual Emotion Regulation System Based on TGAM Module / 中国医疗器械杂志

OBJECTIVE@#Based on the TGAM PCB module, a system of emotion control using audio-visual feedback is designed.@*METHODS@#TGAM collects EEG information through the electrode in contact with the forehead skin. The system analyzes the user's emotion through the STM32F103ZET6 of the main control chip, and finally controls the control end of the system to regulate the user's emotion.@*RESULTS@#It can be seen from the test results that the system can precisely recognize the user's emotions, and at the same time effectively adjust the user's emotions from both audio-visual aspects.@*CONCLUSIONS@#The system has high recognition accuracy and good adjustment effect.

Jahi McMath, a New Disorder of Consciousness / Jahi McMath, un nuevo trastorno de la conciencia / Jahi McMath, um novo transtorno da consciencia

Abstract: In this paper, I review the case of Jahi McMath, who was diagnosed with brain death (BD). Nonetheless, ancillary tests performed nine months after the initial brain insult showed conservation of intracranial structures, EEG activity, and autonomic reactivity to the "Mother Talks" stimulus. She was clinically in an unarousable and unresponsive state, without evidence of self-awareness or awareness of the environment. However, the total absence of brainstem reflexes and partial responsiveness rejected the possibility of a coma. Jahi did not have UWS because she was not in a wakefulness state and showed partial responsiveness. She could not be classified as a LIS patient either because LIS patients are wakeful and aware, and although quadriplegic, they fully or partially preserve brainstem reflexes, vertical eye movements or blinking, and respire on their own. She was not in an MCS because she did not preserve arousal and preserved awareness only partially. The CRS-R resulted in a very low score, incompatible with MCS patients. MCS patients fully or partially preserve brainstem reflexes and usually breathe on their own. MCS has always been described as a transitional state between a coma and UWS but never reported in a patient with all clinical BD findings. This case does not contradict the concept of BD but brings again the need to use ancillary tests in BD up for discussion. I concluded that Jahi represented a new disorder of consciousness, non-previously described, which I have termed "reponsive unawakefulness syndrome" (RUS).

Resumen: En este artículo, revisó el caso de Jahi McMath, quién fue diagnosticada con muerte encefálica (ME). No obstante, exámenes complementarios realizados nueve meses después de la lesión cerebral inicial mostraron conservación de las estructuras intracraneales, actividad en electroencefalografía EEG, y reactividad autonómica a estímulos llamados "Conversación de Madre". Ella estaba clínicamente en un estado sin respuesta a los estímulos, sin evidencia de autoconciencia o conciencia del ambiente. Sin embargo, la ausencia total de reflejos del tronco encefálico y la capacidad de respuesta parcial rechazaron la posibilidad de un coma. Jahi no tenía síndrome de vigilia sin respuesta SVSR porque no estaba en un estado de vigilia y mostró una capacidad de respuesta parcial. Tampoco pudo ser clasificada como paciente LIS porque los pacientes LIS están despiertos y conscientes, y aunque tetrapléjicos, conservan total o parcialmente los reflejos del tronco encefálico, los movimientos oculares verticales u el parpadeo, y respiran por sí mismos. Ella no estaba en un EMC porque no preservaba la excitación y preservaba la conciencia solo parcialmente. La CRS-R dio una puntuación muy baja, incompatible con pacientes de EMC. Los pacientes de EMC preservan total o parcialmente los reflejos del tronco encefálico y, por lo general, respirar por sí solos. El EMC siempre se ha descrito como un estado de transición entre un coma y SVSR pero nunca se ha reportado en paciente con todos los hallazgos clínicos de ME. Este caso no contradice el concepto de ME pero vuelve a plantear la discusión acerca de la necesidad de utilizar exámenes complementarios en ME. Llegué a la conclusión de que Jahi representaba un nuevo trastorno de la conciencia, no descrito anteriormente, que he denominado "síndrome de no despertar con respuesta" (SNDR).

Resumo: Neste artigo, foi revisado o caso Jahi McMath, que foi diagnosticada com morte encefálica (ME). Contudo, exames complementares realizados nove meses depois da lesão cerebral inicial mostraram conservação das estruturas intracranianas, atividade em eletroencefalografia (EEG) e reatividade autonômica a estímulos chamados "Conversación de Madre". Ela estava clinicamente em um estado sem resposta aos estímulos, sem evidência de autoconsciência ou consciência do ambiente. Contudo, a ausência total de reflexos do tronco encefálico e a capacidade de resposta parcial rejeitaram a possibilidade de um coma. Jahi não tinha síndrome de vigia sem resposta (SVSR), porque não estava em um estado de vigia e mostrou uma capacidade de resposta parcial. Também nao pode ser classificada como paciente LIS, porque estes estão acordados e conscientes, e ainda que tetraplégicos, conservam total ou parcialmente os reflexos do tronco encefálicos, os movimentos oculares verticais ou cintilação, e respiram por si próprios. Ela não estava em um EMC porque não preservava a excitação e preservava a consciencia somente parcialmente. A CRS-R deu uma pontuação muito baixa, incompatível com pacientes de EMC. Os pacientes de EMC preservam total ou parcialmente os reflexos do tronco encefálico e, em geral, respirar por si só. O EMC sempre foi descrito como um estado de transição entre coma e SVSR, mas nunca foi relatado em paciente com todos os achados clínicos de ME. Esse caso não contradiz o conceito de ME, mas volta a colocar a discussão sobre a necessidade de utilizar exames complementares em ME. Cheguei a conclusão de que Jahi representava um novo transtorno da consciencia, nao descrito anteriormente, que denominei "síndrome de resposta sem vigília" (SRSV)

Comparison study of EEG biofeedback therapy on clinical efficacy of children with different subtypes of attention deficit hyperactivity disorder / 中华行为医学与脑科学杂志

Objective:To evaluate EEG biofeedback therapy on clinical efficacy of children with different subtypes of attention deficit hyperactivity disorder (ADHD) using the integrated visual and auditory integration continuous performance test (IVA-CPT).Methods:Children with ADHD who completed more than 60 times of EEG biofeedback training in Hangzhou Seventh People's Hospital from July 2018 to September 2020 were selected as the research subjects. According to the results of IAV-CPT before treatment, all the children were divided into three subtypes: attention deficit type ( n=21), impulse hyperactivity type ( n=11), and mixed type ( n=30). The differences of symptom improvement between the three subtypes before and after training were compared by SPSS 23.0 software. Results:(1) In terms of response control (a total of 9 items), there was no statistical significance in the attention deficit group before and after treatment (all P>0.05). In the hyperactivity group, the scores of visual and auditory response control, full scale response control, auditory prudence and auditory consistency, visual focus quotient and visual consistency before treatment were significantly lower than those after treatment(all P<0.05). In the mixed group, the scores of visual and auditory response control, full scale response control, auditory prudence, visual consistency, and visual prudence before treatment were significantly lower than those after treatment(all P<0.05). In terms of attention (a total of 9 items), the scores of auditory vigilance, auditory attention, visual attention, full scale attention, visual vigilance and visual speed in the attention deficit group before treatment were significantly lower than those after treatment(all P<0.05). The scores of visual attention, full scale attention, visual focus quotient (all P<0.01), auditory attention and visual speed (all P<0.05) in hyperactivity group before treatment were significantly lower than those after treatment. In the mixed group, the scores of the other 8 items before treatment were significantly lower than those after treatment (all P<0.01, auditory focus quotient were P<0.05), except that the auditory speed had no statistical significance before and after treatment.(2)After EEG biofeedback training, the changes of IVA-CPT scores of the three groups before and after treatment(visual response control (-2.76±24.39), (19.55±19.94), (12.93±25.30), F=3.932, P=0.025), (full scale response control (2.38±20.77), (21.27±15.86), (15.43±25.69), F=3.158, P=0.050), (full scale attention (18.43±27.44), (11.36±11.40), (26.23±18.41), F=4.692, P=0.016), (auditory vigilance (20.23±42.65), (6.55±10.20), (33.63±36.30), F=7.160, P=0.002), (visual vigilance (19.48±28.55), (5.27±10.62), (33.27±28.26), F=10.876, P<0.001), (visual focus quotient (-2.24±23.67), (14.45±13.79), (12.83±21.91), F=3.669, P=0.031) were statistically significant. After LSD comparison, the changes of visual control and total control scores in the attention deficit group before and after treatment were significantly lower than those in the impulse hyperactivity group (all P<0.05) and the mixed group (all P<0.05). In the three items of total attention score, auditory vigilance and visual vigilance, the changes of impulsivity hyperactivity group before and after treatment were significantly lower than those of mixed group ( P=0.050, P<0.05, P<0.01, respectively). The changes of visual attention quotient in the attention deficit group before and after treatment were significantly lower than those in the impulse hyperactivity group and the mixed group (all P<0.05). Conclusion:EEG biofeedback has clinical efficacy in the three groups of subtypes of ADHD, but the efficacy is different, and individualized EEG training programs should be developed for different subtypes of children on the basis of standard TBR therapy protocol.