首页> 外文会议>Saratov Fall Meeting 2014: Optical technologies in biophysics and medicine XVI; Laser physics and photonics XVI; and Computational Biophysics >Time-frequency dynamics during sleep spindles on the EEG in rodents with a genetic predisposition to absence epilepsy (WAG/Rij rats)
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Time-frequency dynamics during sleep spindles on the EEG in rodents with a genetic predisposition to absence epilepsy (WAG/Rij rats)

机译:具有遗传易感性癫痫病的啮齿动物在脑电图上的睡眠纺锤上的时轴动态变化(WAG / Rij大鼠)

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Sleep spindles are known to appear spontaneously in the thalamocortical neuronal network of the brain during slow-wave sleep; pathological processes in the thalamocortical network may be the reason of the absence epilepsy. The aim of the present work is to study developed changes in the time-frequency structure of sleep spindles during the progressive development of the absence epilepsy in WAG/Rij rats. EEG recordings were made at age 7 and 9 months. Automatic recognition and subsequent analysis of sleep spindles on the EEG were performed using the continuous wavelet transform. The duration of epileptic discharges and the total duration of epileptic activity were found to increase with age, while the duration of sleep spindles, conversely, decreased. In terms of the mean frequency, sleep spindles could be divided into three classes: 'slow' (mean frequency 9.3 Hz), 'medium' (11.4Hz), and 'fast' (13.5Hz). Slow and medium (transitional) spindles in five-month-old animals showed increased frequency from the beginning to the end of the spindle. The more intense the epilepsy is, the shorter are the durations of spindles of all types. The mean frequencies of 'medium' and 'fast' spindles were higher in rats with more intense signs of epilepsy. Overall, high epileptic activity in WAG/Rij rats was linked with significant changes in spindles of the transitional type, with less marked changes in the two traditionally identified types of spindle, slow and fast.
机译:已知在慢波睡眠过程中,睡眠纺锤体会自发出现在大脑的丘脑皮质神经元网络中。丘脑皮质网络中的病理过程可能是缺乏癫痫的原因。本工作的目的是研究在WAG / Rij大鼠失神癫痫的逐步发展过程中睡眠纺锤体时频结构的变化。脑电图记录是在7和9个月大时进行的。使用连续小波变换对脑电图上的睡眠纺锤体进行自动识别和后续分析。发现癫痫发作的持续时间和癫痫活动的总持续时间随着年龄的增长而增加,而睡眠纺锤体的持续时间反而减少。就平均频率而言,睡眠纺锤可分为三类:“慢”(平均频率9.3 Hz),“中”(11.4Hz)和“快”(13.5Hz)。在五个月大的动物中,慢速和中速(过渡)纺锤体从纺锤体的开始到结束显示出增加的频率。癫痫发作越剧烈,各种纺锤体的持续时间越短。在癫痫症状更严重的大鼠中,“中”和“快速”纺锤体的平均频率更高。总体而言,WAG / Rij大鼠的高癫痫活性与过渡型纺锤体的显着变化有关,而传统上鉴定的两种纺锤体类型(慢速和快速)的变化较小。

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