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Chizhikova A.A.

Centre for Strategic Planning and Management of Biomedical Health Risks of the Federal Medical Biological Agency

Electroencephalography: features of the obtained data and its applicability in psychiatry

Authors:

Chizhikova A.A.

More about the authors

Journal: S.S. Korsakov Journal of Neurology and Psychiatry. 2024;124(5): 31‑39

DOI: 10.17116/jnevro202412405131

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Table of contents

ELECTROENCEPHALOGRAPHY: FEATURES OF THE OBTAINED DATA AND ITS APPLICABILITY IN PSYCHIATRY
ELECTROENCEPHALOGRAPHY: FEATURES OF THE OBTAINED DATA AND ITS APPLICABILITY IN PSYCHIATRY

To cite this article:

Chizhikova AA. Electroencephalography: features of the obtained data and its applicability in psychiatry. S.S. Korsakov Journal of Neurology and Psychiatry. 2024;124(5):31‑39. (In Russ.)
https://doi.org/10.17116/jnevro202412405131

Подписка 2026 Журнал неврологии и психиатрии им. С.С. Корсакова (S.S. Korsakov Journal of Neurology and Psychiatry)
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Abstract:

Presently, there is an increased interest in expanding the range of diagnostic and scientific applications of electroencephalography (EEG). The method is attractive due to non-invasiveness, availability of equipment with a wide range of modifications for various purposes, and the ability to track the dynamics of brain electrical activity directly and with high temporal resolution. Spectral, coherency and other types of analysis provide volumetric information about its power, frequency distribution, spatial organization of signal and its self-similarity in dynamics or in different sections at a time. The development of computing technologies provides processing of volumetric data obtained using EEG and a qualitatively new level of their analysis using various mathematical models. This review discusses benefits and limitations of using the EEG in scientific research, currently known interpretation of the obtained data and its physiological and pathological correlates. It is expected to determine the complex relationship between the parameters of brain electrical activity and various functional and pathological conditions. The possibility of using EEG characteristics as biomarkers of various physiological and pathological conditions is being considered. Electronic databases, including MEDLINE (on PubMed), Google Scholar and Russian Scientific Citation Index (RSCI, on elibrary.ru), scientific journals and books were searched to find relevant studies.

Keywords:

electroencephalography (EEG)
biomarkers
EEG endophenotypes
mathematical analysis
neuropsychiatric diseases
genetics

Authors:

Chizhikova A.A.

Centre for Strategic Planning and Management of Biomedical Health Risks of the Federal Medical Biological Agency

Received:

14.09.2023

Accepted:

23.01.2024

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