EEG Power Spectrum: Errors and Application Practice (lecture three). Spectral analysis in the study of variability of EEG rhythms
https://doi.org/10.33667/2078-5631-2022-11-7-12
Abstract
The traditional EEG spectral analysis is not suitable for the study of dynamic processes in the brain, since the size of the recording segments required for plotting the spectrum graphs should be significantly longer than the physiological variability of the electroencephalogram itself. For these purposes, special methodological approaches have been developed: dynamic observation of EEG rhythms using the Berg-Fourier analysis method and various options for plotting trends of frequency and amplitude values of brain potentials. Almost no one knows the real significance of fluctuations in the frequency of the dominant EEG rhythm, since in fact there was no instrument for studying this phenomenon in dynamics. In panic attacks with a high level of anxiety, the opposite picture is observed, a pathological decrease in the severity of fluctuations in the frequency of the alpha rhythm.
About the Author
L. B. IvanovRussian Federation
Ivanov Lev B., PhD Med, physician of superior expert category in functional diagnostics, head of Diagnostic Dept.
Moscow
References
1. LB Ivanov, AV Budkevich – Frequency and spatial fluctuation of alpha rhythm in health and disease. f. Modern functional diagnostics, Medical alphabet. 2018; 3 (25): 18–23.
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Review
For citations:
Ivanov L.B. EEG Power Spectrum: Errors and Application Practice (lecture three). Spectral analysis in the study of variability of EEG rhythms. Medical alphabet. 2022;(11):7-12. (In Russ.) https://doi.org/10.33667/2078-5631-2022-11-7-12