Correlation of EEG Envelopes is the Best Method for Identifying Mental Diseases, Functional States, Individual and Intergroup Differences
Keywords:
EEG, metrology, amplitude and power spectra, coherency, envelope, correlation
Abstract
The principal errors of spectral and coherent analysis are discussed, and the mathematics of these methods is not related to EEG nature. In this regard, in 2011, the new method was developed for evaluating EEG synchrony by the correlation of envelopes, which has a direct and fundamental physiological meaning. The basics of this method and the methodology of subsequent multilateral statistical analysis are considered. The effective use of the method for identifying individual and intergroup differences in the norm and several types of schizophrenia, depressive diseases, five stages of sleep, and similar functional states are presented.
Downloads
- Article PDF
- TEI XML Kaleidoscope (download in zip)* (Beta by AI)
- Lens* NISO JATS XML (Beta by AI)
- HTML Kaleidoscope* (Beta by AI)
- DBK XML Kaleidoscope (download in zip)* (Beta by AI)
- LaTeX pdf Kaleidoscope* (Beta by AI)
- EPUB Kaleidoscope* (Beta by AI)
- MD Kaleidoscope* (Beta by AI)
- FO Kaleidoscope* (Beta by AI)
- BIB Kaleidoscope* (Beta by AI)
- LaTeX Kaleidoscope* (Beta by AI)
How to Cite
References
A Kulaichev (2018) Actual problems of the humanities and natural sciences. 8, 17-22.
S Tong, N Thankor (2009) Quantitative EEG for Brain-Computer Interfaces. 172-189.
A Kulaichev (2016) Inaccuracy of Estimates of Mean EEG Amplitude in Frequency Domains Based on Amplitude and Power Spectrum. (1), 21-28.
Norbert Wiener (1930) Generalized harmonic analysis. 55(0), 117-258.
R Randall (1989) Frequency Analysis. 344.
Donald Walter (1963) Spectral analysis for electroencephalograms: Mathematical determination of neurophysiological relationships from records of limited duration. 8(2), 155-181.
A Kulaichev (2011) The Informativeness of Coherence Analysis in EEG Studies. 41(3), 321-328.
A Kulaichev, Natalia Gorbachevskaya (2011) Investigating the Differentiation of Norm and Disorders of Schizophrenic Spectrum by Analysis of EEG Correlation Synchrony. 61, 24-39.
Alexey Kulaichev, Natalia Gorbachevskaya (2013) Differentiation of norm and disorders of schizophrenic spectrum by analysis of EEG correlation synchrony. 3(4), 267.
Ekaterina Iznak, Andrey Iznak (2014) ЭЭГ-КОРРЕЛЯТЫ НАРУШЕНИЯ ПРИНЯТИЯ ЛОГИЧЕСКИХ РЕШЕНИЙ ПРИ ДЕПРЕССИВНЫХ РАССТРОЙСТВАХ. 64, 131-132.
A Kulaichev, Natalia Gorbachevskaya (2012) Investigating the Differentiation of Norm and Disorders of Schizophrenic Spectrum by Analysis of EEG Correlation Synchrony. 62, 24-39.
S Borisov, A Kaplan, N Gorbachevskaya, I Kozlova (2005) Analysis of EEG Structural Synchrony in Adolescents with Schizophrenic Disorders. 31(3), 255-261.
M Sterman, David Kaiser (2001) Comodulation. 4(3), 73-83.
Reza Boostani, Khadijeh Sadatnezhad, Malihe Sabeti (2009) An efficient classifier to diagnose of schizophrenia based on the EEG signals. 36(3), 6492-6499.
Nuri Ince, Massoud Stephane, Ahmed Tewfik, Giuseppe Pellizzer, Kate Mcclannahan (2007) Schizophrenia Classification using Working Memory MEG ERD/ERS Patterns. 457-460.
U Sakoglu, A Michael, V Calhoun (2009) Classification of schizophrenia patients vs healthy controls with dynamic functional network connectivity. 47(1), 39-S41.
G Winterer, M Ziller, H Dorn, K Frick, C Mulert, Y Wuebben, W Herrmann (2000) Frontal dysfunction in schizophrenia - a new electrophysiological classifier for research and clinical applications. 250(4), 207-214.
Verner Knott, Colleen Mahoney, Sidney Kennedy, Kenneth Evans (2001) EEG power, frequency, asymmetry and coherence in male depression. 106(2), 123-140.
Jürgen Fell, Joachim Röschke, Klaus Mann, Cornelius Schäffner (1996) Discrimination of sleep stages: a comparison between spectral and nonlinear EEG measures. 98(5), 401-410.
Park Hae-Jeong, Oh Jung-Su, Jeong Do-Un, Park Kwang-Suk (2000) Automated sleep stage scoring using hybrid rule and case-based reasoning. 33(5), 330-349.
K Susmakova, A Krakovska (2009) Selection of measures for sleep stages classification. 86-89.
K Susmakova, A Krakovska (2008) Discrimination ability of individual measures used in sleep stages classification. 44(3), 261-277.
Published
2021-07-31
Issue
Section
License
Copyright (c) 2021 Authors and Global Journals Private Limited

This work is licensed under a Creative Commons Attribution 4.0 International License.