https://doi.org/10.1140/epjs/s11734-023-01081-3
Regular Article
Method for real-time optical brain monitoring in freely moving mice during wakefulness and natural sleep
1
Department of Biology, Saratov State University, Astrakhanskaya 82, 410012, Saratov, Russia
2
Institute of Physics, Saratov State University, Astrakhanskaya Str. 83, 410012, Saratov, Russia
3
Institute of Biochemistry and Physiology of Plants and Microorganisms, Russian Academy of Sciences, Prospekt Entuziastov 13, 410049, Saratov, Russia
4
Department of Pathological Anatomy, Saratov Medical State University, Bolshaya Kazachaya Str. 112, 410012, Saratov, Russia
Received:
29
November
2023
Accepted:
22
December
2023
Published online:
22
February
2024
Sleep is an integral part of the life of all living organisms, which is necessary for maintaining health. Recent scientific evidence has established that sleep is a marker for the development of many brain diseases. However, these discoveries are phenomenological, because there are very few methods for studying the sleeping brain. It is obvious that the development of technologies for intravital and real-time monitoring of the sleeping brain of animals will open the door to progress in understanding the restorative mechanisms of sleep and the control of these processes. In this study, we demonstrate a unique approach for simultaneous real-time monitoring of the sleeping brain in freely moving mice. Due to training of mice and careful selection of only those animals in the experiment that can demonstrate sleep, the method allows for effective long-term studies of the brain under natural sleep maintaining optimal conditions that minimize stress in animals. A new proposed method for studying the sleeping brain in real time will allow significant advances in the study of restorative mechanisms of sleep and will stimulate the development of promising smart-sleep technologies for therapy of brain diseases associated with sleep deficit or disturbance.
Inna Blokhina, Viktoria Adushkina, Daria Zlatogosrkaya, Egor Ilyukov, Valeria Telnova, Arina Evsyukova, Andrey Terskov, Dmitry Myagkov, Dmitry Tuktarov, Maria Tzoy, Alexander Dubrovsky, Alexander Dmitrenko, Maria Manzhaeva, Valeria Krupnova, Matvey Tuzhilkin, Inna Elizarova, and Nikita Navolokin have contributed equally to this work.
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© The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
