Proekt Alex
Perelman School of Medicine, Department of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, PA, United States.
Methods Enzymol. 2018;603:257-277. doi: 10.1016/bs.mie.2018.02.009. Epub 2018 Apr 5.
Electroencephalography (EEG) has a long history in neuroscience starting with its original description in humans by Hans Berger in 1929 (Berger, 1932). Investigations of EEG under anesthesia started soon after in the mid-1930s (Gibbs, 1937). No single methodology paper can credibly cover all of the issues relating to this rich field. The purpose of this chapter is to introduce some caveats that complicate and inform analysis of the EEG. Special emphasis will be given to common issues such as choice of reference electrode, filtering, artifact rejection, and spectral analysis. We will specifically emphasize high-density EEG recordings that have become the norm due to technological improvement in electrode and data acquisition design methods. In the last section we will discuss some applications of EEG analysis techniques to the study of the effects of anesthetics on the nervous system.
脑电图(EEG)在神经科学领域有着悠久的历史,始于1929年汉斯·伯格对人类脑电图的首次描述(伯格,1932年)。20世纪30年代中期,人们很快就开始了在麻醉状态下对脑电图的研究(吉布斯,1937年)。没有哪一篇方法学论文能够全面涵盖与这个丰富领域相关的所有问题。本章的目的是介绍一些使脑电图分析变得复杂且为其提供信息的注意事项。将特别强调一些常见问题,如参考电极的选择、滤波、伪迹去除和频谱分析。我们将特别强调高密度脑电图记录,由于电极和数据采集设计方法的技术改进,这种记录已成为常态。在最后一部分,我们将讨论脑电图分析技术在研究麻醉药对神经系统影响方面的一些应用。