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Adapter for Analysis of Animal Brain γ-Oscillation for Screening the Effects of Neurotropic Drugs and Cognitive Functions

https://doi.org/10.33647/2074-5982-21-3-30-34

Abstract

High-frequency components of brain activity (γ-rhythms, over 30 Hz) are the key markers of cognitive processes. Their study is relevant for diagnostics, treatment, and prevention of neurodegenerative diseases and obsessive-compulsive disorders, including schizophrenia, epilepsy, Alzheimer's disease, etc., as well as for the development and screening of drug effects. The lack of serially-produced equipment with the technical parameters required for research and ready-made invasive systems with the capacity to analyze the high-frequency range of brain activity, as well as the current geopolitical situation, prompted us to create a domestic biopotential amplifier.

About the Authors

S. Yu. Kharitonov
Scientific Center of Biomedical Technologies of the Federal Medical and Biological Agency of Russia
Russian Federation

Sergey Yu. Kharitonov

143442, Moscow Region, Krasnogorsk District, Svetlye Gory Village, 1



Yu. V. Fokin
Scientific Center of Biomedical Technologies of the Federal Medical and Biological Agency of Russia
Russian Federation

Yuriy V. Fokin - Cand. Sci. (Biol.).

143442, Moscow Region, Krasnogorsk District, Svetlye Gory Village, 1



N. N. Karkischenko
Scientific Center of Biomedical Technologies of the Federal Medical and Biological Agency of Russia
Russian Federation

Nikolay N. Karkischenko - Academician of the Russian Academy of Rocket and Artillery Sciences, Corresponding Member of the Russian Academy of Sciences, Dr. Sci. (Med.), Prof.

143442, Moscow Region, Krasnogorsk District, Svetlye Gory Village, 1



References

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Review

For citations:


Kharitonov S.Yu., Fokin Yu.V., Karkischenko N.N. Adapter for Analysis of Animal Brain γ-Oscillation for Screening the Effects of Neurotropic Drugs and Cognitive Functions. Journal Biomed. 2025;21(3):30-34. (In Russ.) https://doi.org/10.33647/2074-5982-21-3-30-34

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ISSN 2074-5982 (Print)
ISSN 2713-0428 (Online)