Dumenko V N, Kozlov M K
Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, Moscow.
Neurosci Behav Physiol. 1995 Mar-Apr;25(2):150-7. doi: 10.1007/BF02358586.
A new method has been developed for the coding of EEG tracings which is an alternative to the classical spectral correlation analysis. This method has made it possible to compensate to a considerable degree for limitations which are unavoidable with the Fourier transform, and to obtain additional information regarding the form of the tracing, which reflects the fluctuations of brain potentials. The new system that has been presented for coding the EEG is, in our view, the most adequate (of the methods known to us) for identifying the individual features of the EEG, in terms of evaluating both their regional differences and similarities. The data obtained convince us once again of the real existence of high-frequency low-power components of the EEG, and their enhancement during instrumental learning in dogs (motor alimentary conditioned reflexes). In addition, data have been obtained pointing to the intensification in some regions of a slow-wave constituent; this has not been observed previously in carrying out a Fourier transform.
已开发出一种用于脑电图描记编码的新方法,它是经典频谱相关分析的一种替代方法。该方法已能够在很大程度上弥补傅里叶变换不可避免的局限性,并获取有关描记形式的额外信息,该描记形式反映了脑电位的波动。就评估脑电图的区域差异和相似性而言,我们认为所提出的用于脑电图编码的新系统(在我们所知的方法中)是识别脑电图个体特征的最合适方法。所获得的数据再次使我们确信脑电图高频低功率成分的真实存在,以及它们在犬类工具性学习(运动性食物条件反射)过程中的增强。此外,已获得的数据表明慢波成分在某些区域有所增强;在进行傅里叶变换时此前未观察到这种情况。