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

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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

ORCID: 0009-0008-1752-3226

Received:

14.09.2023

Accepted:

23.01.2024

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