Prospects of Electrocorticography in Neuropharmacological Studies in Small Laboratory Animals

Author:

Sysoev Yuriy I.123ORCID,Okovityi Sergey V.45ORCID

Affiliation:

1. Pavlov Institute of Physiology, Russian Academy of Sciences (RAS), Saint Petersburg 199034, Russia

2. Department of Neuroscience, Sirius University of Science and Technology, Sirius Federal Territory 354340, Russia

3. Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg 199034, Russia

4. Department of Pharmacology and Clinical Pharmacology, Saint Petersburg State Chemical Pharmaceutical University, Saint Petersburg 197022, Russia

5. N.P. Bechtereva Institute of the Human Brain, Saint Petersburg 197022, Russia

Abstract

Electrophysiological methods of research are widely used in neurobiology. To assess the bioelectrical activity of the brain in small laboratory animals, electrocorticography (ECoG) is most often used, which allows the recording of signals directly from the cerebral cortex. To date, a number of methodological approaches to the manufacture and implantation of ECoG electrodes have been proposed, the complexity of which is determined by experimental tasks and logistical capabilities. Existing methods for analyzing bioelectrical signals are used to assess the functional state of the nervous system in test animals, as well as to identify correlates of pathological changes or pharmacological effects. The review presents current areas of applications of ECoG in neuropharmacological studies in small laboratory animals. Traditionally, this method is actively used to study the antiepileptic activity of new molecules. However, the possibility of using ECoG to assess the neuroprotective activity of drugs in models of traumatic, vascular, metabolic, or neurodegenerative CNS damage remains clearly underestimated. Despite the fact that ECoG has a number of disadvantages and methodological difficulties, the recorded data can be a useful addition to traditional molecular and behavioral research methods. An analysis of the works in recent years indicates a growing interest in the method as a tool for assessing the pharmacological activity of psychoactive drugs, especially in combination with classification and prediction algorithms.

Funder

Saint Petersburg State University

State funding of the Pavlov Institute of Physiology, Russian Academy of Sciences

Sirius University of Science and Technology

Publisher

MDPI AG

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