Cycling reduces the entropy of neuronal activity in the human adult cortex.

Brain Complexity (BC) have successfully been applied to study the brain electroencephalographic signal (EEG) in health and disease. In this study, we employed recurrence entropy to quantify BC associated with the neurophysiology of movement by comparing BC in both resting state and cycling movement. We measured EEG in 24 healthy adults and placed the electrodes on occipital, parietal, temporal and frontal sites on both the right and left sides of the brain. We computed the recurrence entropy from EEG measurements during cycling and resting states. Entropy is higher in the resting state than in the cycling state for all brain regions analysed. This reduction in complexity is a result of the repetitive movements that occur during cycling. These movements lead to continuous sensorial feedback, resulting in reduced entropy and sensorimotor processing.

Structural inequality and temporal brain dynamics across diverse samples.

BACKGROUND: Structural income inequality - the uneven income distribution across regions or countries - could affect brain structure and function, beyond individual differences. However, the impact of structural income inequality on the brain dynamics and the roles of demographics and cognition in these associations remains unexplored. METHODS: Here, we assessed the impact of structural income inequality, as measured by the Gini coefficient on multiple EEG metrics, while considering the subject-level effects of demographic (age, sex, education) and cognitive factors. Resting-state EEG signals were collected from a diverse sample (countries = 10; healthy individuals = 1394 from Argentina, Brazil, Colombia, Chile, Cuba, Greece, Ireland, Italy, Turkey and United Kingdom). Complexity (fractal dimension, permutation entropy, Wiener entropy, spectral structure variability), power spectral and aperiodic components (1/f slope, knee, offset), as well as graph-theoretic measures were analysed. FINDINGS: Despite variability in samples, data collection methods, and EEG acquisition parameters, structural inequality systematically predicted electrophysiological brain dynamics, proving to be a more crucial determinant of brain dynamics than individual-level factors. Complexity and aperiodic activity metrics captured better the effects of structural inequality on brain function. Following inequality, age and cognition emerged as the most influential predictors. The overall results provided convergent multimodal metrics of biologic embedding of structural income inequality characterised by less complex signals, increased random asynchronous neural activity, and reduced alpha and beta power, particularly over temporoposterior regions. CONCLUSION: These findings might challenge conventional neuroscience approaches that tend to overemphasise the influence of individual-level factors, while neglecting structural factors. Results pave the way for neuroscience-informed public policies aimed at tackling structural inequalities in diverse populations.

Absolute beta power in exercisers and nonexercisers in preparation for the oddball task.

BACKGROUND: High levels of physical conditioning are associated with improvements in cognitive performance. In this sense, electroencephalographic (ECG) correlates are used to investigate the enhancing role of physical exercise on executive functions. Oscillations in the ß frequency range are proposed to be evident during sensorimotor activity. OBJECTIVE: To investigate the ECG changes influenced by aerobic and resistance exercises performed in an attention task by analyzing the differences in absolute ß power in the prefrontal and frontal regions before, during, and after the oddball paradigm in practitioners and nonpractitioners of physical exercise. METHODS: There were 15 physical activity practitioners (aged 27 ± 4.71) and 15 nonpractitioners (age 28 ± 1.50) recruited. A two-way analysis of variance (ANOVA) was implemented to observe the main effect and the interaction between groups and moments (rest 1, pre-stimulus, and rest 2). RESULTS: An interaction between group and moment factors was observed for Fp1 (p < 0.001); Fp2 (p = 0.001); F7 (p < 0.001); F8 (p < 0.001); F3 (p < 0.001); Fz (p < 0.001); and F4 (p < 0.001). Electrophysiological findings clarified exercisers' specificity and neural efficiency in each prefrontal and frontal subarea. CONCLUSION: Our findings lend support to the current understanding of the cognitive processes underlying physical exercise and provide new evidence on the relationship between exercise and cortical activity.

ANTECEDENTES: Níveis elevados de condicionamento físico estão associados a melhorias no desempenho cognitivo. Nesse sentido, correlatos eletroencefalográficos são utilizados na investigação do papel aprimorador do exercício físico sobre as funções executivas. Tem sido proposto que as oscilações na faixa de frequência ß são evidenciadas durante a atividade sensório-motora. OBJETIVO: Investigar as alterações eletroencefalográficas influenciadas por exercícios aeróbio e resistido realizados em uma tarefa atencional analisando as diferenças da potência absoluta de ß nas regiões pré-frontal e frontal antes, na preparação e depois do paradigma oddball em praticantes e não praticantes de exercício físico. MéTODOS: Foram recrutados 15 praticantes de atividade física (idade 27 ± 4.71) e 15 não praticantes (idade 28 ± 1.50). Uma análise de variância (ANOVA) de duas vias foi implementada para observação do efeito principal e a interação entre os grupos e os momentos (repouso 1, pré-estímulo e repouso 2). RESULTADOS: Uma interação entre os fatores grupo e momento para Fp1 (p < 0,001); Fp2 (p = 0,001); F7 (p < 0,001); F8 (p < 0,001); F3 (p < 0,001); Fz (p < 0,001); e F4 (p < 0,001) foi observada. Os achados eletrofisiológicos esclareceram a especificidade e a eficiência neural dos praticantes de exercício físico em cada subárea pré-frontal e frontal. CONCLUSãO: Nossos achados promovem o entendimento atual dos processos cognitivos subjacentes ao exercício físico e acrescentam novas evidências sobre a relação exercício e atividade cortical.

Music therapy with adult burn patients in the intensive care unit: short-term analysis of electrophysiological signals during music-assisted relaxation.

Burn patients often face elevated pain, anxiety, and depression levels. Music therapy adds to integrative care in burn patients, but research including electrophysiological measures is limited. This study reports electrophysiological signals analysis during Music-Assisted Relaxation (MAR) with burn patients in the Intensive Care Unit (ICU). This study is a sub-analysis of an ongoing trial of music therapy with burn patients in the ICU. Electroencephalogram (EEG), electrocardiogram (ECG), and electromyogram (EMG) were recorded during MAR with nine burn patients. Additionally, background pain levels (VAS) and anxiety and depression levels (HADS) were assessed. EEG oscillation power showed statistically significant changes in the delta (p < 0.05), theta (p = 0.01), beta (p < 0.05), and alpha (p = 0.05) bands during music therapy. Heart rate variability tachograms high-frequencies increased (p = 0.014), and low-frequencies decreased (p = 0.046). Facial EMG mean frequency decreased (p = 0.01). VAS and HADS scores decreased - 0.76 (p = 0.4) and - 3.375 points (p = 0.37) respectively. Our results indicate parasympathetic system activity, attention shifts, reduced muscle tone, and a relaxed state of mind during MAR. This hints at potential mechanisms of music therapy but needs to be confirmed in larger studies. Electrophysiological changes during music therapy highlight its clinical relevance as a complementary treatment for ICU burn patients.Trial registration: Clinicaltrials.gov (NCT04571255). Registered September 24th, 2020. https//classic.clinicaltrials.gov/ct2/show/NCT04571255.

Bispectral index with density spectral array (BIS-DSA) monitoring in a patient with inner ear and cerebral decompression sickness.

Bispectral index with density spectral array (BIS-DSA) monitoring during hyperbaric oxygen therapy of a case with inner ear and cerebral decompression sickness is described. During the initial treatment, a particular DSA pattern was found, which resolved after four treatments. Clinical resolution of the symptoms accompanied this improvement. The particular BIS-DSA pattern described in this case is concordant with a potential hypo-perfusion of the cortex related to decompression stress. This case suggests that BIS-DSA monitoring may be an easy, cost-effective, and viable form of neuro-monitoring during hyperbaric oxygen treatment for decompression sickness.

Modification of pre-ictal cortico-hippocampal oscillations by medial ganglionic eminence precursor cells grafting in the pilocarpine model of epilepsy.

Cell replacement therapies using medial ganglionic eminence (MGE)-derived GABAergic precursors reduce seizures by restoring inhibition in animal models of epilepsy. However, how MGE-derived cells affect abnormal neuronal networks and consequently brain oscillations to reduce ictogenesis is still under investigation. We performed quantitative analysis of pre-ictal local field potentials (LFP) of cortical and hippocampal CA1 areas recorded in vivo in the pilocarpine rat model of epilepsy, with or without intrahippocampal MGE-precursor grafts (PILO and PILO+MGE groups, respectively). The PILO+MGE animals had a significant reduction in the number of seizures. The quantitative analysis of pre-ictal LFP showed decreased power of cortical and hippocampal delta, theta and beta oscillations from the 5 min. interictal baseline to the 20 s. pre-ictal period in both groups. However, PILO+MGE animals had higher power of slow and fast oscillations in the cortex and lower power of slow and fast oscillations in the hippocampus compared to the PILO group. Additionally, PILO+MGE animals exhibited decreased cortico-hippocampal synchrony for theta and gamma oscillations at seizure onset and lower hippocampal CA1 synchrony between delta and theta with slow gamma oscillations compared to PILO animals. These findings suggest that MGE-derived cell integration into the abnormally rewired network may help control ictogenesis.

The cognitive triad network - oscillation - behaviour links individual differences in EEG theta frequency with task performance and effective connectivity.

We reconcile two significant lines of Cognitive Neuroscience research: the relationship between the structural and functional architecture of the brain and behaviour on the one hand and the functional significance of oscillatory brain processes to behavioural performance on the other. Network neuroscience proposes that the three elements, behavioural performance, EEG oscillation frequency, and network connectivity should be tightly connected at the individual level. Young and old healthy adults were recruited as a proxy for performance variation. An auditory inhibitory control task was used to demonstrate that task performance correlates with the individual EEG frontal theta frequency. Older adults had a significantly slower theta frequency, and both theta frequency and task performance correlated with the strengths of two network connections that involve the main areas of inhibitory control and speech processing. The results suggest that both the recruited functional network and the oscillation frequency induced by the task are specific to the task, are inseparable, and mark individual differences that directly link structure and function to behaviour in health and disease.

Can electroencephalography (EEG) identify the different dimensions of pain in fibromyalgia? A pilot study.

BACKGROUND: Electroencephalography (EEG) is a promising tool for identifying the physiological biomarkers of fibromyalgia (FM). Evidence suggests differences in power band and density between individuals with FM and healthy controls. EEG changes appear to be associated with pain intensity; however, their relationship with the quality of pain has not been examined. We aimed to investigate whether abnormal EEG in the frontal and central points of the 10-20 EEG system in individuals with FM is associated with pain's sensory-discriminative and affective-motivational dimensions. The association between EEG and the two dimensions of emotional disorders (depression and anxiety) was also investigated. METHODS: In this cross-sectional pilot study, pain experience (pain rating index [PRI]) and two dimensions of emotional disorders (depression and anxiety) were assessed using the McGill Pain Questionnaire (PRI-sensory and PRI-affective) and Hospital Anxiety and Depression Scale (HADS), respectively. In quantitative EEG analysis, the relative spectral power of each frequency band (delta, theta, alpha, and beta) was identified in the frontal and central points during rest. RESULTS: A negative correlation was found between the relative spectral power for the delta bands in the frontal (r= -0.656; p = 0.028) and central points (r= -0.624; p = 0.040) and the PRI-affective scores. A positive correlation was found between the alpha bands in the frontal (r = 0.642; p = 0.033) and central points (r = 0.642; p = 0.033) and the PRI-affective scores. A negative correlation between the delta bands in the central points and the anxiety subscale of the HADS (r = -0.648; p = 0.031) was detected. CONCLUSION: The affective-motivational dimension of pain and mood disorders may be related to abnormal patterns of electrical activity in patients with FM. TRIAL REGISTRATION: Retrospectively registered on ClinicalTrials.gov (NCT05962658).

Electroencephalography Neurofeedback Training with Focus on the State of Attention: An Investigation Using Source Localization and Effective Connectivity.

Identifying brain activity and flow direction can help in monitoring the effectiveness of neurofeedback tasks that aim to treat cognitive deficits. The goal of this study was to compare the neuronal electrical activity of the cortex between individuals from two groups-low and high difficulty-based on a spatial analysis of electroencephalography (EEG) acquired through neurofeedback sessions. These sessions require the subjects to maintain their state of attention when executing a task. EEG data were collected during three neurofeedback sessions for each person, including theta and beta frequencies, followed by a comprehensive preprocessing. The inverse solution based on cortical current density was applied to identify brain regions related to the state of attention. Thereafter, effective connectivity between those regions was estimated using the Directed Transfer Function. The average cortical current density of the high-difficulty group demonstrated that the medial prefrontal, dorsolateral prefrontal, and temporal regions are related to the attentional state. In contrast, the low-difficulty group presented higher current density values in the central regions. Furthermore, for both theta and beta frequencies, for the high-difficulty group, flows left and entered several regions, unlike the low-difficulty group, which presented flows leaving a single region. In this study, we identified which brain regions are related to the state of attention in individuals who perform more demanding tasks (high-difficulty group).

[Contribution of the Ibero-American Academy of Neuropediatrics to the knowledge of self-limited epilepsy in infants]. / Aporte de la Academia Iberoamericana de Neuropediatría al conocimiento de la epilepsia autolimitada del lactante.

Since the first presentation at the IV Iberoamerican Academy of Neuropediatrics Congress in 1995, our group has studied self-limited infantile epilepsy (SeLIE), both familial and non-familial, corroborating that they belong to the same entity due to their clinical and electroencephalographic characteristics and excellent prognosis. Associations were found with paroxysmal dyskinesias and migraine, as well as with hemiplegic migraine, episodic ataxia and intellectual disability in atypical cases. Mutations in PRRT2 are the main cause of SeLIE, however, other genes, such as SCN2A, KCNQ2-3 and SCN8A, have been recognized. Drugs for focal seizures that act on sodium channels are indicated. In emergencies, during cluster seizures, the use of benzodiazepines is important. In this publication, we review our contribution in SeLIE from our first report to the present and review the existing literature on the subject.

Desde la primera presentación en el IV Congreso de la Academia Iberoamericana de Neurología Pediátrica en 1995, nuestro grupo ha estudiado las epilepsias autolimitadas del lactante (EAL), tanto familiares y no familiares, corroborando que pertenecen a una misma entidad por sus características clínicas, electroencefalográficas y excelente pronóstico. Se encontraron asociaciones con discinesias paroxísticas y migraña, como también con la migraña hemipléjica, la ataxia episódica y la discapacidad intelectual en casos atípicas. Las mutaciones en PRRT2 son la principal causa de EAL. Sin embargo, otros genes, como SCN2A, KCNQ2-3 y SCN8A, han sido reconocidos. Los fármacos para las crisis focales que actúan sobre los canales de sodio son los indicados. En emergencias, durante las convulsiones agrupadas, es importante el uso de benzodiacepinas. En esta publicación, hacemos un recorrido de nuestro aporte en EAL desde nuestra primera contribución hasta la actualidad y además realizamos una revisión de la literatura existente sobre el tema.

[Epilepsy or functional neurological disorder. Diagnostic strategies]. / Epilepsia o trastorno neurológico funcional. Estrategias para el diagnóstico.

A seizure is the manifestation of symptoms or signs produced by excessive or synchronous neuronal activity in the brain. It usually presents as brief, self-limited episodes of involuntary movements that can affect a part or the entire body and that are sometimes accompanied by loss of consciousness and sphincter control. Epilepsy may be considered after a single unprovoked seizure in a patient with a high risk of recurrence. Paroxysmal non-epileptic disorders are defined as episodes of sudden onset and short duration that imitate an epileptic seizure, caused by a brain dysfunction of diverse origin that, unlike epilepsy, is not due to excessive neuronal discharge. Its incidence is much higher than epilepsy and it can appear at any age. It is important for diagnosis to analyze the triggering factors, the details of each episode, physical examination and only proceed to basic complementary tests such as video-electroencephalogram in case of doubt or for diagnostic confirmation. There is a tendency to overdiagnose epilepsy and excessive use of anticonvulsant drugs. Those that can most frequently be confused are syncope, "daydreams" and pseudoseizures.

Una convulsión es la manifestación de signos o síntomas producidos por una actividad neuronal excesiva o sincrónica en el cerebro. Suele presentarse como episodios breves, autolimitados, de movimientos involuntarios que pueden afectar a una parte del cuerpo o su totalidad y que, en ocasiones, se acompañan de pérdida de la conciencia y control de esfínteres. Puede considerarse epilepsia una sola crisis no provocada en un paciente con un elevado riesgo de recurrencia. Los trastornos paroxísticos no epilépticos 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 que 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. Es importante para el diagnóstico analizar los factores desencadenantes, los pormenores de cada episodio, examen físico y solamente proceder a los exámenes complementarios básicos como video-electroencefalograma en caso de duda o para confirmación diagnóstica. Existe la tendencia a sobrediagnosticar epilepsia y al uso excesivo de fármacos anticonvulsivos. Los que con mayor frecuencia se pueden confundir son los síncopes, ensoñaciones y las pseudocrisis.

[Neonatal epileptics syndromes]. / Síndromes epilépticos neonatales.

Neonatal epileptic syndromes are part of the genetic and metabolic epilepsies in this age group. Although they are not the most frequent cause of neonatal seizures, their early recognition allows for better diagnostic and therapeutic approaches. These syndromes can be classified into self-limited neonatal syndromes and early infantile epileptic and developmental encephalopathies (EIDEE). While they may share semiology in some types of seizures, such as sequential, and even share alterations in common genes in their etiology, their evolution is very different. In self-limited neonatal syndromes, seizures typically resolve within the first months of life with normal psychomotor development, giving rise to the term self-limited. However, the term benign should not be used as some may present recurrence of seizures, movement disorders, or learning disorders. In the case of EIDEE, seizures are usually refractory to treatment, affecting brain functions and neurodevelopment. In this review, our aim was to describe the electroclinical phenotype of neonatal epileptic syndromes, the most frequently involved genes and their clinical spectrum, their diagnostic approach, as well as the recommended treatments.

Los síndromes epilépticos neonatales hacen parte de las epilepsias de origen genético y metabólico en este grupo edad y aunque no son la causa más frecuente de crisis neonatales, su reconocimiento temprano permite dirigir mejor su enfoque diagnóstico y tratamiento. Pueden clasificarse en síndromes neonatales autolimitados y encefalopatías epilépticas y del desarrollo infantil temprano (EIDEE). Aunque pueden mostrar semiología similar en algunos tipos de crisis, como las secuenciales, e incluso comparten alteraciones en genes comunes en su etiología, su evolución es muy diferente. En los síndromes autolimitados, las crisis remiten en los primeros meses de vida alcanzando un desarrollo psicomotor normal, lo que da su nombre de autolimitado; sin embargo, el término benigno no debe utilizarse dado que algunos pueden presentar recurrencia de crisis, trastornos del movimiento o trastornos del aprendizaje. En las EIDEE las crisis suelen ser refractarias al tratamiento y se comprometen funciones cerebrales y el neurodesarrollo. En esta revisión describiremos el fenotipo electroclínico de los síndromes epilépticos neonatales, los genes más frecuentemente involucrados y su espectro clínico, su enfoque diagnóstico, así como los tratamientos recomendados.

Enhancing cognitive control of our decisions: Making the most of humor during the IGT in females and males.

We studied the impact of humor on the Iowa Gambling Task (IGT) decision-making performance and the cognitive control exerted during this task, considering sex as a moderator, and examined whether cognitive control mediated the influence of humor on decision-making. Sixty participants (30 females) performed an extended version of the IGT (500 trials divided into 20 blocks). We randomly assigned them to either an experimental group (Humor Group; Hg; n = 30), where humorous videos were interspersed in the decision-making trials or a control group (Non-Humor Group; NHg; n = 30), where nonhumorous videos were interspersed in the decision-making trials. We recorded participant performance and feedback-related negativity (FRN) and P3b event-related potentials (ERP) during IGT feedback as task monitoring and attention allocation indicators, respectively. We expected that whereas humor would improve IGT decision-making under risk in females during the last blocks (17-20) as well as cognitive control (specifically attention allocation and task monitoring) across the entire IGT, it would impair them in males. Contrary to our expectations, humor improved IGT decision-making under risk for both sexes (specifically at blocks 19 and 20) and attention allocation for most IGT blocks (P3b amplitudes). However, humor impaired IGT decision-making under ambiguity in males during the block six and task monitoring (FRN amplitudes) for most IGT blocks. Attention allocation did not mediate the beneficial effect of humor on decision-making under risk in either sex. Task monitoring decrements fully mediated the humor's detrimental influence on men's decision-making under ambiguity during block six.

Directed brain interactions over time: A resting-state EEG comparison between schizophrenia and healthy individuals.

Understanding the neurophysiological mechanisms of schizophrenia (SZ) is one of the challenges of neuroscience. Many anatomical and functional studies have pointed to problems in brain connectivity in SZ individuals. However, little is known about the relationships between specific brain regions and impairments in brain connectivity in SZ individuals. Herein we propose a new approach using time-varying graphs and the motif synchronization method to build dynamic brain functional networks (BFNs). Dynamic BFNs were constructed from resting-state electroencephalography (rs-EEG) of 14 schizophrenia (SZ) individuals and 14 healthy controls (HCs). BFNs were evaluated based on the percentage of synchronization importance between a pair of regions (considering external and internal interactions) over time. We found differences in the directed interaction between brain regions in SZ individuals compared to the control group. Our method revealed low bilaterally directed interactions between the temporal lobes in SZ individuals compared to HCs, indicating a potential link between altered brain connectivity and the characteristic symptoms of schizophrenia. From a clinical perspective, these results shed light on developing new therapeutic approaches targeting these specific neural interactions that are altered in individuals with SZ. This knowledge allows the application of better interventions focused on restoring or compensating for interrupted connectivity patterns.

Dexamethasone attenuates low-frequency brainwave disturbances following acute seizures induced by pentylenetetrazol in Wistar rats.

Seizures are neurological disorders triggered by an imbalance in the activity of excitatory and inhibitory neurotransmitters in the brain. When triggered chronically, this imbalance can lead to epilepsy. Critically, many of the affected individuals are refractory to treatment. Given this, anti-inflammatory drugs, in particular glucocorticoids, have been considered as a potential antiepileptogenic therapy. Glucocorticoids are currently used in the treatment of refractory patients, although there have been contradictory results in terms of their use in association with antiepileptic drugs, which reinforces the need for a more thorough investigation of their effects. In this context, the present study evaluated the effects of dexamethasone (DEX, 0.6 mg/kg) on the electroencephalographic (EEG) and histopathological parameters of male Wistar rats submitted to acute seizure induced by pentylenetetrazol (PTZ). The EEG monitoring revealed that DEX reduced the total brainwave power, in comparison with PTZ, in 12 h after the convulsive episode, exerting this effect in up to 36 h (p < 0.05 for all comparisons). An increase in the accommodation of the oscillations of the delta, alpha, and gamma frequencies was also observed from the first 12 h onwards, with the accommodation of the theta frequency occurring after 36 h, and that of the beta frequency 24 h after the seizure. The histopathological analyses showed that the CA3 region and hilum of the hippocampus suffered cell loss after the PTZ-induced seizure (control vs. PTZ, p < 0.05), although DEX was not able to protect these regions against cell death (PTZ vs. DEX + PTZ, p > 0.05). While DEX did not reverse the cell damage caused by PTZ, the data indicate that DEX has beneficial properties in the EEG analysis, which makes it a promising candidate for the attenuation of the epileptiform wave patterns that can precipitate refractory seizures.

Emotional text messages affect the early processing of emoticons depending on their emotional congruence: evidence from the N170 and EPN event related potentials.

Emoticons have been considered pragmatic cues that enhance emotional expressivity during computer-mediated communication. Yet, it is unclear how emoticons are processed in ambiguous text-based communication due to incongruences between the emoticon's emotional valence and its context. In this study, we investigated the electrophysiological correlates of contextual influence on the early emotional processing of emoticons, during an emotional congruence judgment task. Participants were instructed to judge the congruence between a text message expressing an emotional situation (positive or negative), and a subsequent emoticon expressing positive or negative emotions. We analyzed early event-related potentials elicited by emoticons related to face processing (N170) and emotional salience in visual perception processing (Early Posterior Negativity, EPN). Our results show that accuracy and Reaction Times depend on the interaction between the emotional valence of the context and the emoticon. Negative emoticons elicited a larger N170, suggesting that the emotional information of the emoticon is integrated at the early stages of the perceptual process. During emoticon processing, a valence effect was observed with enhanced EPN amplitudes in occipital areas for emoticons representing negative valences. Moreover, we observed a congruence effect in parieto-temporal sites within the same time-window, with larger amplitudes for the congruent condition. We conclude that, similar to face processing, emoticons are processed differently according to their emotional content and the context in which they are embedded. A congruent context might enhance the emotional salience of the emoticon (and therefore, its emotional expression) during the early stages of their processing.

Independent Vector Analysis for Feature Extraction in Motor Imagery Classification.

Independent vector analysis (IVA) can be viewed as an extension of independent component analysis (ICA) to multiple datasets. It exploits the statistical dependency between different datasets through mutual information. In the context of motor imagery classification based on electroencephalogram (EEG) signals for the brain-computer interface (BCI), several methods have been proposed to extract features efficiently, mainly based on common spatial patterns, filter banks, and deep learning. However, most methods use only one dataset at a time, which may not be sufficient for dealing with a multi-source retrieving problem in certain scenarios. From this perspective, this paper proposes an original approach for feature extraction through multiple datasets based on IVA to improve the classification of EEG-based motor imagery movements. The IVA components were used as features to classify imagined movements using consolidated classifiers (support vector machines and K-nearest neighbors) and deep classifiers (EEGNet and EEGInception). The results show an interesting performance concerning the clustering of MI-based BCI patients, and the proposed method reached an average accuracy of 86.7%.

Characteristics and outcome of influenza-associated encephalopathy/encephalitis among children in China.

BACKGROUND: Influenza-Associated Encephalopathy/Encephalitis (IAE) is characterized by high incidence and poor prognosis. The aim of this study is to describe the clinical features and outcomes of IAE in pediatric patients. METHODS: We performed a retrospective review of hospitalized cases of laboratory-confirmed influenza infection between January 2018 and December 2021. Demographic, clinical, imaging, treatment and outcome data were collected. Statistical analysis was performed using SPSS software. RESULTS: Of 446 children hospitalized with influenza, 71 cases were identified with a diagnosis of IAE. The median age was 3 years and 46 (64.8 %) were younger than 5 years. Only one patient was vaccinated for seasonal influenza. 46 (64.8 %) patients had abnormal electroencephalogram examination and 47 (66.2 %) had abnormal brain MRI or CT findings. 68 (95.8 %) patients were treated with oseltamivir/peramivir. 12 (16.9 %) patients suffered mortality. Non-survivors were more likely to have lower Glasgow coma score (median 7), longer duration of fever (median 3 days), with underlying medical conditions (P = 0.006), and complications including sepsis (P = 0.003), shock (P < 0.001), respiratory failure (P = 0.006), acute renal failure (P = 0.001), myocardial damage (P < 0.001), coagulation disorders (P = 0.03), electrolyte disturbance (P = 0.001) and hyperlactacidemia (P = 0.003). Non-survivors had higher percentages of corticosteroids (P = 0.003) and immunoglobulin (P = 0.003) treatments compared to survivors. CONCLUSIONS: Children with IAE have a high mortality rate. Lower Glasgow coma score, longer duration of fever, with underlying medical conditions and complications pose a great risk to poor prognosis. Influenza vaccination is recommended to all eligible children.

Mnemotecnias para la aplicación e interpretación del electroencefalograma de amplitud integrada en recién nacidos / Mnemonics for the use and interpretation of amplitude-integrated electroencephalography in newborn infants

La electroencefalografía (EEG) siempre ha sido considerada una materia especializada, que amerita de entrenamiento para su aplicación e interpretación; esto ha provocado que el acceso a estos estudios quedara confinado a neurólogos y neurofisiólogos. El recién nacido ingresado en la unidad de cuidados intensivos neonatales (UCIN) amerita de monitorización neurológica para establecer diagnóstico y pronóstico, por lo que se necesita una herramienta sencilla y accesible para el personal de la UCIN. Estas características han sido cubiertas por el electroencefalograma de amplitud integrada (aEEG) que, a través de patrones visuales simples de la actividad cerebral, permite el abordaje de la condición neurológica. El objetivo de este ensayo se orienta al manejo de mnemotecnias que faciliten la identificación de patrones visuales normales y patológicos en el aEEG. La nomenclatura empleada, aunque puede parecer simple, pretende crear una idea fácilmente asimilable de los conceptos básicos para la aplicación e interpretación de la neuromonitorización con aEEG.

An electroencephalography (EEG) has always been considered a specialized field, whose use and interpretation requires training. For this reason, access to these monitoring studies has been restricted to neurologists and neurophysiologists. Newborn infants admitted to the neonatal intensive care unit (NICU) require neurophysiological monitoring to establish their diagnosis and prognosis, so a simple and accessible tool is required for NICU staff. Such features have been covered by amplitude-integrated electroencephalography (aEEG), which, through simple visual patterns of brain activity, allows to approach neurological conditions. The objective of this study is to help with the management of mnemonics that facilitate the identification of normal and pathological visual patterns in an aEEG. Although simple in appearance, this nomenclature is intended to create an easy-to-understand idea of basic concepts for the use and interpretation of neurophysiological monitoring with aEEG.