3 resultados para Fringe pattern traces

em Universidade Federal do Rio Grande do Norte(UFRN)


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Innumerable studies have focused been reported on the sleep spindles (SS), Sharp Vertex Waves (SVW) and REM, NREM Sleep as indicators interpreting EEG patterns in children. However, Frequency and Amplitud Gradient (FAG) is rarely cited sleep parameter in children,that occurs during NREM Sleep. It was first described by Slater and Torres, in 1979, but has not been routinely evaluated in EEG reports. The aim of this study was to assess the absence of SS, SVW and FAG, as an indication of neurological compromise in children. The sample consisted of 1014 EEGs of children referred to the Clinical Neurophysiology Laboratory, Hospital Universitário de Brasília (HUB), from January 1997 to March 2003, with ages ranging from 3 months to 12 years old, obtained in spontaneous sleep or induced by choral hydrate. The study was transversal and analytical, in which, visual analysis of EEG traces was perfumed individually and independently by two electroencephalographers without prior knowledge of the EEG study or neurological findings. After EEG selection, the investigators analyzed the medical reports in order to define and correlate neurological pattern was classified according to the presence or absence of neurological compromise, as Normal Neurological Pattern (NNP), and Altered Neurological Pattern (ANP) respectively. From the visual analysis of the EEG(s), it was possible to characterize 6 parameters: 1- FAG present (64,1%); 2- FAG absent (35,9%); 3 - normal SS (87,9%); 4 - altered SS s (12,1%); 5 - normal SVW s (95,7%); 6 - altered SVW s (4,3%). The prevalence of well-formed FAG is found in the 3 months to 5 years age group in the children with NNF. FAG was totally absent from the age of 10 years. When comparing the three sleep graphielements, it was observed that SVW and SS were predominant in children with NNF. However, FAG absent was more prevalent in the ANF than in altered SS an SVW. The statistical analysis showed that there is a strong association of FAG absent, with isolated alteration, in ANF patients, in that the prevalence ratio was 6,60. The association becomes stronger when FAG absent + altered SS(s) is considered (RP= 6,68). Chi-square test, corrected by Yates technique, showed a highly significant relation for FAG ρ= 0,00000001, for error X of 5%, or else the 95% confidence interval (ρ<0,05). Thus, the FAG absent were more expressive in ANF patient than altered SS(s) and SVW(s). The association becomes stronger in order to establish a prognostic relation, when the FAG is combined with the SS. The results os this study allow us to affirm that the FAG, when absent at ages ranging from 3 months to 5 years , is an indication of neurological compromise. FAG is an age-dependent EEG parameter and incorporated systematically, in the interpretation criteria of the EEG of children s sleep, not only in the maturational point of view, but also neurological disturbances with encephalic compromise

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Several research lines show that sleep favors memory consolidation and learning. It has been proposed that the cognitive role of sleep is derived from a global scaling of synaptic weights, able to homeostatically restore the ability to learn new things, erasing memories overnight. This phenomenon is typical of slow-wave sleep (SWS) and characterized by non-Hebbian mechanisms, i.e., mechanisms independent of synchronous neuronal activity. Another view holds that sleep also triggers the specific enhancement of synaptic connections, carrying out the embossing of certain mnemonic traces within a lattice of synaptic weights rescaled each night. Such an embossing is understood as the combination of Hebbian and non-Hebbian mechanisms, capable of increasing and decreasing respectively the synaptic weights in complementary circuits, leading to selective memory improvement and a restructuring of synaptic configuration (SC) that can be crucial for the generation of new behaviors ( insights ). The empirical findings indicate that initiation of Hebbian plasticity during sleep occurs in the transition of the SWS to the stage of rapid eye movement (REM), possibly due to the significant differences between the firing rates regimes of the stages and the up-regulation of factors involved in longterm synaptic plasticity. In this study the theories of homeostasis and embossing were compared using an artificial neural network (ANN) fed with action potentials recorded in the hippocampus of rats during the sleep-wake cycle. In the simulation in which the ANN did not apply the long-term plasticity mechanisms during sleep (SWS-transition REM), the synaptic weights distribution was re-scaled inexorably, for its mean value proportional to the input firing rate, erasing the synaptic weights pattern that had been established initially. In contrast, when the long-term plasticity is modeled during the transition SWSREM, an increase of synaptic weights were observed in the range of initial/low values, redistributing effectively the weights in a way to reinforce a subset of synapses over time. The results suggest that a positive regulation coming from the long-term plasticity can completely change the role of sleep: its absence leads to forgetting; its presence leads to a positive mnemonic change

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Students, normally, present an irregular sleep pattern characterized by delays in sleep onset and offset from weekdays to weekends, short sleep duration on weekdays and long sleep duration on weekends. The reduction of the necessary sleep and the irregularity in the sleep patterns provoke relevant short- and long-term impairments on performances, for example, in cardiorespiratory function. The cardiorespiratory performance represents, in addition to fitness, traces associated to health conditions and in several studies to pattern and/or individual s sleep quality. The aim of this study was to evaluate the pattern of the sleep-wake cycle and the cardiorespiratory function of medical students under different class schedules. The study was accomplished with two classes of medical students of UFRN, one had classes at 7 am (n = 47) and the second had classes at 8 am (n = 41) during the week. On the first stage of the study all volunteers filled out an anamnesis, the International Physical Activity questionnaire, the Pittsburgh index of sleep quality, the Portuguese version of the Horne and Östberg cronotype questionnaire, the Health and Sleep questionnaire and the Epworth Scale of Somnolence (ESS). On the second stage, 24 students (12 of each class) had their activity rhythm monitored by actimeters set to record activity at a 2-min interval for 14 days concomitant to the completion of the sleep diary. In this same stage, each volunteer performed the effort test (treadmill) only once in the morning period (between 9:00 and 11:00). The students showed an irregular pattern of the sleep-wake cycle and this irregularity is strongly influenced by the class schedules, in addition to the contribution of the academic demand, social activities and endogenous factors. The students who woke up earlier showed greater irregularity in the sleep-wake pattern. The earlier was the class schedule the worse was the sleep quality and the greater was the frequency of students with excessive diurnal somnolence. The classes schedules and the irregular pattern of the sleep-wake cycle did not show effect on the cardiorespiratory performance of the medical students. The performance on the test seems to be affected by other factors, which can be related to the pattern of the sleep-wake cycle or not. Therefore, it is suggested that the late start of classes provokes less irregularity on the pattern of the sleep-wake cycle. However, it was observed that this irregularity and the class schedule seem not to affect the cardiorespiratory performance directly