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1.
Salud ment ; 39(5): 267-274, Sep.-Oct. 2016. tab, graf
Artigo em Espanhol | LILACS | ID: biblio-845992

RESUMO

RESUMEN: Introducción: La potencia espectral en reposo a menudo se considera como un marcador robusto de la función cerebral; sin embargo, pocos estudios la han asociado con una función específica. Objetivo: Analizar la relación entre la potencia absoluta (PA) del EEG con el desempeño en las tareas de funcionamiento ejecutivo en niños. Método: Investigación transversal correlacional en 30 niños (8.6 ± 1 años). Se realizó el EEG con ojos cerrados y análisis de derivaciones bipolares. Con la transformada de Fourier se calculó la PA en el espectro de 1.6-30 Hz. Se aplicó la batería NEUROPSI Atención y Memoria y se calculó el Indice de Atención y Funciones Ejecutivas (IAFE). En función de éste, se comparó la PA con Kruskal-Wallis y valor Z, coeficiente de Spearman para la correlación con las subpruebas. Resultados: Los niños con alteraciones severas ( x - = 63 ± 8 IC 95% [57.2, 68.5]) tuvieron mayor PA delta en F1F7, P301 y P402, así como valores Z cercanos a 2 DE en F7T3, F3C3 y F8T4 en frecuencias lentas. Las correlaciones fueron significativas (rho, p ≤ .05) entre el IAFE con la PA delta en P301 (-.57), P402 (-.43) y T5O1 (-.37); con PA alfa principalmente en zonas fronto-temporo-parieto-occipitales izquierdas. La puntuación en Detección Visual y Fluidez Semántica se relacionó con la PA alfa. Discusión y conclusión: El rendimiento en actividades de FE es diferente en relación con la PA delta frontal y parietal. Existe una relación inversa entre la PA delta y alfa en reposo con la atención y fluidez (245/250).


ABSTRACT: Introduction: The resting EEG power is considered as a robust marker of brain function; however, a few studies have associated it to a specific function. Objective: To analyze the relationship between EEG absolute power (AP) with performance on tasks of executive functioning in children. Method: Correlational cross-sectional study of 30 children (8.6 ± 1 year). EEG was performed with eyes closed and bipolar leads. With the Fourier transform AP was calculated in the spectrum of 1.6, 30 Hz. NEUROPSI Attention and Memory was applied and the Index of Attention and Executive functions (IAFE) was calculated. Based on this, the AP was compared with Kruskal-Wallis and the Z value, Spearman coefficient for correlation with the subtests. Results: Children with severe impairment ( x - = 63 ± 8 CI 95% [57.2, 68.5]) had higher delta AP (α ≤ .05) in F1F7, P301 and P402, and Z values near 2 SD in F7T3, F3C3 and F8T4 at slow frequencies. Correlations were significant between the IAFE and delta AP P301 (-.57), P402 (-.43) and T5O1 (-.37); with AP alpha mainly on left fronto- temporo - parietal- occipital areas. The score in Visual Detection and Semantic Fluency inversely related to AP alpha frequency. Discussion and conclusion: Performance on tasks of executive functioning is different in relation to the frontal and parietal AP delta. There is an inverse relationship between AP delta and alpha at rest with attention and verbal fluency.

2.
Arq. neuropsiquiatr ; 73(4): 321-329, 04/2015. graf
Artigo em Inglês | LILACS | ID: lil-745753

RESUMO

The present study investigates the influence of bromazepam while executing a motor task. Specifically, we intend to analyze the changes in alpha absolute power under two experimental conditions, bromazepam and placebo. We also included analyses of theta and beta frequencies. We collected electroencephalographic data before, during, and after motor task execution. We used a Two Way ANOVA to investigate the condition (PL × Br6 mg) and moment (pre and post) variables for the following electrodes: Fp1, Fp2, F7, F3, Fz, F4, F8, C3, CZ and C4. We found a main effect for condition on the electrodes FP1, F7, F3, Fz, F4, C3 and CZ, for alpha and beta bands. For beta band we also found a main effect for condition on the electrodes Fp2, F8 and C4; for theta band we identified a main effect for condition on C3, Cz and C4 electrodes. This finding suggests that the motor task did not have any influence on the electrocortical activity in alpha, and that the existing modifications were a consequence due merely to the drug use. Despite its anxiolytic and sedative action, bromazepam did not show any significant changes when the individuals executed a finger extension motor task.


O presente estudo investiga a influência do bromazepam durante a execução de uma tarefa motora. Especificamente, pretende-se analisar as mudanças na potência absoluta de alfa sob duas condições experimentais, bromazepam e placebo. Nós também incluímos as analises das frequências teta e beta. Foram coletados dados eletroencefalográficos antes, durante e depois da execução da tarefa motora. Usamos uma Anova de 2 fatores para investigar a condição (PL × Br6 mg) e variáveis no momento (pré e pós) para os seguintes eletrodos: Fp1, Fp2, F7, F3, Fz, F4, F8, C3, C4 e CZ. Encontramos um efeito principal para a condição e eletrodos FP1, F7, F3, Fz, F4, C3 e CZ para alfa e beta. Para beta também foi encontrado um efeito principal para condição nos eletrodos Fp2, F8 e C4; para theta nós identificamos um efeito principal para condition em C3, Cz e C4. Este achado sugere que a tarefa motora não tem qualquer influência sobre a atividade eletrocortical alfa e que as modificações existentes foram uma consequência devido o uso de drogas. Apesar de sua ação ansiolítica e sedativa, o bromazepam não apresentou mudança significativa quando os indivíduos executaram uma tarefa motora.


Assuntos
Adulto , Feminino , Humanos , Masculino , Adulto Jovem , Ansiolíticos/farmacologia , Bromazepam/farmacologia , Lobo Frontal/efeitos dos fármacos , Destreza Motora/efeitos dos fármacos , Córtex Somatossensorial/efeitos dos fármacos , Análise de Variância , Ondas Encefálicas/efeitos dos fármacos , Método Duplo-Cego , Eletroencefalografia/efeitos dos fármacos , Lobo Frontal/fisiologia , Atividade Motora/efeitos dos fármacos , Valores de Referência , Córtex Somatossensorial/fisiologia , Análise e Desempenho de Tarefas , Fatores de Tempo
3.
Arq. neuropsiquiatr ; 69(2b): 297-303, 2011. tab
Artigo em Inglês | LILACS | ID: lil-588087

RESUMO

OBJECTIVE: To evaluate the contribution of quantitative electroencephalographic (qEEG) analyses in the diagnosis of Alzheimer's disease (AD). METHOD: Thirty-five patients from the Neurology Outpatients Clinic of PUC-Campinas, diagnosed with AD according to the NINCDS/ADRDA were evaluated, and compared with a control group consisting of 30 individuals with no cognitive deficit. The procedures consisted of clinical-neurological, cognitive and behavioral analyses and the qEEG (absolute power and coherence). RESULTS: The AD group presented greater absolute power values in the delta and theta bands, greater theta/alpha indices and less frontal alpha and beta coherence. Logistic multiple regression models were constructed and those only showing variations in the qEEG (frontal alpha coherence and left frontal absolute theta power) showed an accuracy classification (72.3 percent) below that obtained in the mini-mental state examination (93 percent). CONCLUSION: The study of coherence and power in the qEEG showed a relatively limited accuracy with respect to its application in routine clinical practice.


OBJETIVO: Avaliar a contribuição das análises quantitativas do eletroencefalograma (qEEG) no diagnóstico da doença de Alzheimer (DA). MÉTODO: Foram avaliados 35 pacientes do ambulatório de Neurologia Clínica da PUC-Campinas, com o diagnóstico de DA segundo o NINCDS/ADRDA e comparados a 30 indivíduos, sem déficit cognitivo, de grupo controle. Os procedimentos foram avaliação clínico-neurológica, cognitiva e comportamental e EEGq (potência absoluta e coerência). RESULTADOS: O grupo DA apresentou maiores potências absolutas nas faixas delta e teta, maiores índices teta/alfa e menor coerência alfa e beta frontal. Foram construídos modelos de regressão múltipla logística e aquele que contou apenas com variáveis do EEGq (coerência alfa frontal e potência absoluta teta frontal esquerda) teve acurácia de classificação (72,3 por cento), inferior à obtida com o mini-exame do estado mental (93 por cento). CONCLUSÃO: O estudo de coerência e potência no qEEG tem acurácia relativamente limitada no sentido de aplicação prática clínica rotineira.


Assuntos
Idoso , Feminino , Humanos , Masculino , Doença de Alzheimer/diagnóstico , Eletroencefalografia/métodos , Doença de Alzheimer/classificação , Estudos de Casos e Controles , Modelos Logísticos , Reprodutibilidade dos Testes , Índice de Gravidade de Doença
4.
Salud ment ; 32(2): 117-123, mar.-abr. 2009. ilus
Artigo em Espanhol | LILACS-Express | LILACS | ID: lil-632696

RESUMO

Relatively low tonic electromyographic activity of the mentalis or sub-mentalis muscles constitutes one of the three electrophysiological signs for identifying rapid eye movement sleep (REM), described in the standardized manual for scoring sleep stages in human subjects. The other two signs, low voltage mixed frequency EEG activity and episodic rapid eye movements are inadequate for delimiting the start of REM sleep, because EEG activity resembles that of stage 1 and rapid eye movements are not constantly present. The term <> tonic EMG and not <> is used according to the standardized manual because tonic EMG shows considerable variation from subject to subject and from session to session, and more important because low EMG values may be reached during other sleep stages. Therefore, REM sleep scoring is based on <> tonic EMG. Despite the relevance of the loss of muscular tone for scoring the start of REM sleep and for sleep disorders -such as narcolepsy and REM sleep behavioral disorder, where loss of muscle tone or the lack of it is implicated-, very few quantitative studies of EMG activity during REM sleep in humans have been performed. Amplitude analysis of mentalis and orbicularis oris muscles and spectral power analysis of suprahyoid, masseter and temporalis muscles have demonstrated that EMG activity is lower during REM than during NREM sleep. The mentalis muscle maintains tonically the lowest values during REM sleep with very low variability during the same REM sleep episode and across REM episodes, except for very brief phasic activations, whereas during NREM sleep muscle tone shows large variations within the same sleep stage and along the night. Only one study exists which analyzes the time course of the loss of tone during the transition from NREM to REM sleep integrating the EMG amplitude. However, it was done for long time windows of 20 seconds that does not allow identifying the precise moment of EMG activity drop. Given that the fall in EMG activity is one of the main keys for REM sleep scoring, the objective of the present investigation is to describe the EMG activity of the mentalis muscle during the NREM-REM sleep transition by analyzing short time windows of two seconds. Ten healthy, young adult, right-handed subjects (5 men and 5 women) participated in the study after giving informed consent. All had regular sleeping habits, were in good health and were free of drugs, medication or caffeine intake as assessed by interviews and questionnaires on sleeping habits and health. Polysomnography (PSG) was recorded using a Grass model 8-20E polygraph with filters set at .03 and 70 Hz. Additionally to EEG (C3-A2 and C4-A1), electroculogram (EOG) and EMG of the mentalis muscle, nasal-oral air flow and EMG of anterior tibialis muscles were recorded to remove those subjects showing signs of sleep apnea or periodic limb movement disorder. EEG, EMG and EOG were digitized at 1024 Hz through an analog-to-digital converter of 12 bits resolution using the acquisition program Gamma (version 4.4). The initiation of the first three REM sleep episodes of one night for each subject was indicated in the PSG recordings, following the standardized rules of the manual for scoring sleep stages of human subjects. The fourth REM sleep episode was not considered for analysis because not all subjects had a fourth REM episode. EMG activity of the mentalis muscle of three 30-second epochs around the start of REM sleep (the previous one, the REM entrance and the posterior one) was analyzed. EMG activity was submitted to Fast Fourier Transform and absolute power for every 250 msec (256 points) was obtained for two broad bands: one from 24 to 28 Hz and the other from 28 to 32 Hz, as these have demonstrated significant differences between REM and NREM sleep, in previous studies. Absolute power values were log-transformed previous to statistical analysis to approximate them toward normal distribution. The time course of the drop in muscle tone was established in the case of each individual NREM-REM sleep transition for two second time windows, both visually on the EMG signal and also by statistically comparing consecutive 2-second averages of EMG absolute power (8 means of 250 msec). When there was no clear visual or statistical evidence of decreased EMG activity, the 30-second epoch was divided in half. Additionally, the first rapid eye movement was visually identified. EMG signals were visually inspected and absolute power values of two-second epochs containing eye movement or phasic EMG artifacts were substituted by the average of the preceding and following two-second means. This procedure was chosen instead of rejection in order to maintain the time sequence. The average of substituted epochs was lower than 1 for the NREM-REM sleep transitions. Once the significant differences were established for the individual NREM-REM sleep transitions, the absolute power for the 20 seconds prior and the 20 seconds after the turning point was averaged for the group and compared using the Student t test. A level of p <0.05 was required for significance for both individual and group analyses. EMG drop was statistically identified in 15 out of the 30 NREM-REM sleep transitions (p < 0.05). In 14 cases more than one significant difference was found due to phasic increases shorter than two seconds. Thus, EMG drop was established where both visual inspection of EMG signal and statistical differences were matched. It was necessary to divide the 30-second epoch in half just in one individual case. The comparison of EMG power after averaging for the group the 20 seconds before and the twenty seconds after the individual turning point showed that EMG absolute power was significantly different for the two bands (p < 0.0001 for both bands). The first eye movement occurred after the EMG drop in 28 out of the 30 NREM-REM sleep transitions within a range of 2 and 52 seconds. EMG fall was simultaneous to the first eye movement in one case and eye movement preceded EMG drop in just one NREM-REM sleep transition. Present results indicate that the loss of muscle tone of the mental is muscle during the transition from NREM to REM sleep occurs suddenly rather than gradually, within a time window lasting no longer than 2 sec. This could be appreciated in individual as well as in group analysis. It still remains a matter of debate if REM sleep is under the control of a single generator that simultaneously commands the start of all of its physiological changes, or if each of the physiological systems involved in REM sleep is under its own command starting at its own time and are only orchestrated by a common mechanism. The loss of muscle tone occurred before the first rapid eye movement in 29 out of 30 of the REM sleep onset episodes analyzed, upholding the proposition that physiological systems involved in REM sleep follow different time courses in agreement with non-simultaneous onset of the different physiological mechanisms as it happens with ponto-geniculate-occipital waves in cats that begin long before EEG desynchronization and EMG fall and with results observed in two studies in man which report that EMG amplitude decreases before eye movements. The sudden drop in muscle tone during NREM-REM sleep transition may help to understand the physiological mechanisms involved in sleep disorders where loss of muscle tone or the lack of it is implicated, such as narcolepsy and REM sleep behavioral disorder. It can also be used as an objective sign to establish the onset of REM sleep in research where the precise moment of REM sleep onset is needed. The time relationship among muscle tone fall and other physiological signs of REM sleep remains to be investigated.


De acuerdo con el manual estandarizado para la clasificación del sueño en el ser humano, tres variables fisiológicas marcan el inicio del sueño con movimientos oculares rápidos (MOR): la desincronización electroencefalográfica (EEG), los movimientos oculares rápidos y la pérdida de tono muscular. De estos tres indicadores, uno de ellos, los movimientos oculares rápidos, es una manifestación intermitente o fásica que consiste en movimientos que pueden ser aislados o emitirse en salvas de varios movimientos, pero que no está presente de manera continua. Los otros dos, la desincronización EEG y la atonía, aparecen desde el inicio y se mantienen durante todo el episodio de sueño MOR. Sin embargo, la actividad EEG del sueño MOR en el ser humano es muy semejante, bajo inspección visual, al EEG de la etapa 1, por lo que el EEG y los movimientos oculares rápidos no permiten determinar por sí solos el inicio del sueño MOR, por lo que la atonía muscular se hace indispensable para ello. A pesar de que la caída de tono muscular es uno de los principales indicadores del sueño con movimientos oculares rápidos (MOR) y de la importancia que tiene la actividad muscular durante esta etapa del sueño para comprender mejor los trastornos en que se encuentra alterada la pérdida del tono muscular, como la narcolepsia y el trastorno conductual del sueño MOR, son muy escasas las investigaciones sobre el curso temporal de la caída del tono muscular durante la transición del sueño NMOR al MOR en el ser humano. Dado que la caída del tono muscular es uno de los principales indicadores del SMOR y que ni la desincronización electroencefalográfica ni los movimientos oculares rápidos permiten señalar con precisión la entrada al sueño MOR, el principal objetivo de esta investigación es caracterizar el curso temporal de la disminución del tono del músculo mentalis por ventanas de dos segundos y describir en detalle su curso temporal durante la transición del sueño NMOR al MOR. El establecimiento del cambio EMG en el tiempo permitirá contar con un signo objetivo de la entrada al SMOR que contribuirá a comprender mejor los trastornos del sueño. Con este objetivo, se registró el sueño de 10 adultos jóvenes, sanos y diestros (cinco hombres y cinco mujeres). La polisomnografía (PSG) y la clasificación de las etapas del sueño se realizaron de acuerdo con los procedimientos habituales. Se identificaron las tres primeras entradas a sueño MOR de la noche. Se analizó el EMG del mentón de tres épocas de 30 segundos del periodo de inicio del SMOR (IMOR), una antes, una durante y otra después. Para cada sujeto y episodio de SMOR, se calculó el espectro de potencia absoluta (PA) para dos bandas anchas del EMG para épocas de 250 milisegundos. Se determinó individualmente para cada entrada a sueño MOR la evolución temporal de la caída del tono muscular del IMOR, promediando la PA para cada dos segundos, y se excluyeron los segmentos con artefactos. Se estableció la caída del tono muscular al encontrar diferencias significativas entre dos épocas consecutivas, así como visualmente en el trazo EMG. Posteriormente, se promedió la PA de 10 segmentos de dos segundos previos y de 10 segmentos posteriores a la caída del EMG para todo el grupo y se compararon por medio de la prueba t de Student para muestras correlacionadas. La caída del tono muscular en la transición del sueño NMOR al MOR ocurrió de manera abrupta y no paulatina en un intervalo no mayor a dos segundos. Los resultados estadísticos detectaron la caída del tono muscular tanto en los análisis individuales como de grupo. La aparición de la pérdida de tono muscular ocurrió antes del primer movimiento ocular en 29 de las 30 entradas a MOR analizadas. Estos resultados apoyan la observación de que los diversos sistemas fisiológicos involucrados en el sueño MOR entran en acción en diferentes momentos y no simultáneamente. La caída brusca del tono muscular puede constituir un indicador para determinar objetivamente la entrada al sueño MOR que a su vez se puede emplear para estudiar la pérdida del tono muscular en otras alteraciones, como la narcolepsia y el trastorno conductual del sueño MOR, así como en investigaciones que requieran establecer el momento preciso de la entrada al sueño MOR.

5.
Arq. neuropsiquiatr ; 66(2b): 341-343, jun. 2008. graf
Artigo em Inglês | LILACS | ID: lil-486187

RESUMO

This study aimed to elucidate electrophysiological and cortical mechanisms involved in anticipatory actions when individuals had to catch balls in free drop; specifically through quantitative electroencephalography (qEEG) alpha absolute power changes. The sample was composed for 23 health subjects, both sexes, with ages varying between 25 and 40 years, absence of mental and physical illness, right handed and don't make use of any psychoactive or psychotropic substance at the time of the study. The experiment consisted of a task of catching balls in free drop. The three-way ANOVA analysis demonstrated an interaction between moment and position factors in left parietal posterior cortex (PPC) (p=0.001). Through the experimental task employed, this area demonstrated a differentiated activity involving expectation, planning and preparedness in the ball's drop task.


O estudo tentou elucidar mecanismos eletrofisiológicos e corticais envolvidos em ações antecipatórias quando os sujeitos testados tiveram que apreender bolas em queda livre; especificamente através de mudanças na potência absoluta na banda alfa da eletrencefalografia quantitativa (EEGq). A amostra foi composta por 23 sujeitos sadios, ambos os sexos, idade entre variando entre 25 e 40 anos, sem comprometimento físico e mental, destros, e não fazer uso de nenhuma substância psicoativa ou psicotrópicos até o momento do estudo. O experimento consistiu de uma tarefa de apreensão de bolas em queda livre. A análise three-way ANOVA demonstrou uma interação entre os fatores momento e posição no córtex parietal posterior (CPP) esquerdo (p=0,001). Através da tarefa experimental empregada, esta área demonstrou uma atividade diferenciada envolvendo expectativa, planejamento e prontidão na tarefa de queda de bolas.


Assuntos
Adulto , Feminino , Humanos , Masculino , Eletroencefalografia/métodos , Lobo Parietal/fisiologia , Desempenho Psicomotor/fisiologia , Análise de Variância , Córtex Motor/fisiologia , Tempo de Reação/fisiologia , Percepção Visual/fisiologia
6.
Arq. neuropsiquiatr ; 65(3a): 633-636, set. 2007. graf
Artigo em Inglês | LILACS | ID: lil-460801

RESUMO

The aim of this study was to verify changes in absolute power (qEEG), in theta, during the catch of a free falling object. The sample consisted of 10 healthy individuals, of both genders, with ages between 25 and 40 years. A three-way ANOVA followed by Post-Hoc analysis was applied. The results demonstrated main effects for time and position. In conclusion, a motor task that involves expectation produces deactivation of non-relevant areas in the ipsilateral hemisphere of the active limb. On the other hand, the patterns of results showed activation in areas responsible for planning and selection of motor repertories in the contralateral hemisphere.


O objetivo deste estudo foi verificar mudanças na potência absoluta (EEGq), em teta, durante a pegada de objeto em queda livre. A amostra consistiu de 20 indivíduos saudáveis, de ambos os gêneros, com idade entre 25 e 40 anos. Foi utilizada uma ANOVA three-way seguida de uma análise Post-Hoc. Os resultados demonstraram efeito principal para momento e posição. Concluindo, uma tarefa motora que envolve expectativa produz desativação de áreas não-relevantes no hemisfério ipsilateral do membro ativo. Por outro lado, o padrão dos resultados mostrou ativação em áreas responsáveis por planejamento e seleção de repertórios motores no hemisfério contralateral.


Assuntos
Adulto , Feminino , Humanos , Masculino , Mapeamento Encefálico , Córtex Cerebral/fisiologia , Desempenho Psicomotor/fisiologia , Ritmo Teta , Análise de Variância , Sincronização Cortical , Eletrofisiologia , Lateralidade Funcional , Córtex Motor/fisiologia , Fatores de Tempo , Córtex Visual/fisiologia
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