Correlation of EEG Envelopes is the Best Method for Identifying Mental Diseases, Functional States, Individual and Intergroup Differences

Alexey Pavlovich Kulaichev

doi:10.34257/GJMRAVOL21IS3PG49

Correlation of EEG Envelopes is the Best Method for Identifying Mental Diseases, Functional States, Individual and Intergroup Differences

Alexey Pavlovich Kulaichev *

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Correlation of EEG Envelopes is the Best Method for Identifying Mental Diseases, Functional States, Individual and Intergroup Differences

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DOI
10.34257/GJMRAVOL21IS3PG49

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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.

References

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

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Not applicable for this article.

How to Cite This Article

Alexey Kulaichev. 2021. "Correlation of EEG Envelopes is the Best Method for Identifying Mental Diseases, Functional States, Individual and Intergroup Differences". Global Journal of Medical Research, Global Journal of Medical Research - A: Neurology & Nervous System GJMR-A Volume 21 (GJMR Volume 21 Issue A3).

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GJMR Volume 21 Issue A3

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Journal Specifications

Crossref Journal DOI 10.17406/gjmr

Print ISSN 0975-5888

e-ISSN 2249-4618

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Classification

GJMR-A Classification NLMC Code: WL 141

Submission ReceivedJune 12, 2021
Peer Review Double Blind
Handling Editor
Accepted July 1, 2021
Published July 15, 2021

Version of record

v1.2

Issue date

July 31, 2021

Language

English

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