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首页> 外文期刊>Cerebral cortex >Spectral power time-courses of human sleep EEG reveal a striking discontinuity at approximately 18 Hz marking the division between NREM-specific and wake/REM-specific fast frequency activity.
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Spectral power time-courses of human sleep EEG reveal a striking discontinuity at approximately 18 Hz marking the division between NREM-specific and wake/REM-specific fast frequency activity.

机译:人类睡眠脑电图的频谱功率时程显示出惊人的不连续性,频率约为18 Hz,标志着NREM特定和唤醒/ REM特定的快速频率活动之间的划分。

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摘要

Spectral power time-courses over the ultradian cycle of the sleep electroencephalogram (EEG) provide a useful window for exploring the temporal correlation between cortical EEG and sub-cortical neuronal activities. Precision in the measurement of these time-courses is thus important, but it is hampered by lacunae in the definition of the frequency band limits that are in the main based on wake EEG conventions. A frequently seen discordance between the shape of the beta power time-course across the ultradian cycle and that reported for the sequential mean firing rate of brainstem-thalamic activating neurons invites a closer examination of these band limits, especially since the sleep EEG literature indicates in several studies an intriguing non-uniformity of time-course comportment across the traditional beta band frequencies. We ascribe this tentatively to the sharp reversal of slope we have seen at approximately 18 Hz in our data and that of others. Here, therefore, using data for the first four ultradian cycles from 18 healthy subjects, we apply several criteria based on changes in time-course comportment in order to examine this non-uniformity as we move in 1 Hz bins through the frequency range 14-30 Hz. The results confirm and describe in detail the striking discontinuity of shape at around 18 Hz, with only the upper range (18-30 Hz) displaying a time-course similar to that of the firing-rate changes measured in brainstem activating neurons and acknowledged to engender states of brain activation. Fast frequencies in the lower range (15-18 Hz), on the other hand, are shown to be specific to non-rapid-eye-movement sleep. Splitting the beta band at approximately 18 Hz therefore permits a significant improvement in EEG measurement and a more precise correlation with cellular activity.
机译:睡眠脑电图(EEG)的超diandian周期上的频谱功率时程为探索皮质EEG与皮质下神经元活动之间的时间相关性提供了有用的窗口。因此,这些时程的测量精度很重要,但是在基于唤醒EEG惯例的主要频带限制的定义方面,存在缺陷,这会受到阻碍。在整个超电子周期中,β幂时间过程的形状与脑干-丘脑激活神经元的顺序平均放电率所报告的之间经常出现的不一致,引起了对这些谱带极限的更仔细的检查,尤其是因为睡眠EEG文献表明几项研究在传统的β频段频率上引起了有趣的时程比对不均匀性。我们暂时将此归因于我们在数据和其他数据中大约在18 Hz处看到的斜率急剧反转。因此,在这里,我们使用来自18位健康受试者的前四个Ultradian周期的数据,基于时程变化的情况应用了多个标准,以便检查我们在频率为14- 30赫兹结果证实并详细描述了在18 Hz附近形状的惊人不连续性,只有上限(18-30 Hz)的时间过程与在脑干激活神经元中测得的发射速率变化相似,并且被确认为导致大脑激活的状态。另一方面,低频范围(15-18 Hz)中的快速频率显示为非快速眼动睡眠。因此,以大约18 Hz的频率分割β谱带可以显着改善脑电图测量,并与细胞活性更精确地关联。

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