Röschke J, Wagner P, Aldenhoff J B
Department of Psychiatry, University of Mainz, Germany.
Eur Neuropsychopharmacol. 1993 Mar;3(1):45-53. doi: 10.1016/0924-977x(93)90294-v.
In order to get better insight into the principles of information processing by the brain during sleep and its alterations under the influence of drugs we applied some tools from linear system theory to sleep EEG data. We investigated late components of auditory and visually evoked potentials (AEPs and VEPs) during different sleep stages and calculated from these the so-called amplitude-frequency characteristics (AFC). The main advantage of this analysis is that it enables one to detect functional differences during different sleep stages. This information can hardly be obtained by conventional spectral analysis. The result of our investigation was that the transfer properties of the brain during sleep were extremely different and that lorazepam medication not only resulted in quantitative alterations of the sleep profile but mainly in highly significant alterations of the functional properties of sleep.
为了更深入地了解大脑在睡眠期间的信息处理原理及其在药物影响下的变化，我们将线性系统理论中的一些工具应用于睡眠脑电图数据。我们研究了不同睡眠阶段听觉和视觉诱发电位（AEPs和VEPs）的晚期成分，并据此计算出所谓的振幅-频率特性（AFC）。这种分析的主要优点是能够检测不同睡眠阶段的功能差异。传统的频谱分析很难获得这些信息。我们的研究结果表明，睡眠期间大脑的传递特性截然不同，劳拉西泮用药不仅导致睡眠概况的定量变化，而且主要导致睡眠功能特性的高度显著变化。
