Zobrazeno 1 - 10
of 802
pro vyhledávání: '"Runnova A"'
Autor:
Runnova, Anastasiya E.1,2 (AUTHOR) a.e.runnova@gmail.com, Zhuravlev, Maksim O.1,3 (AUTHOR), Kiselev, Anton R.1 (AUTHOR) antonkis@list.ru, Parsamyan, Ruzanna R.2 (AUTHOR), Simonyan, Margarita A.2,3 (AUTHOR), Drapkina, Oxana M.1 (AUTHOR)
Publikováno v:
Neurology International. Dec2024, Vol. 16 Issue 6, p1481-1491. 11p.
Autor:
Sergeev, Konstantin, Runnova, Anastasiya, Zhuravlev, Maxim, Sitnikova, Evgenia, Rutskova, Elizaveta, Smirnov, Kirill, Slepnev, Andrei, Semenova, Nadezhda
In this paper we propose a new method for the automatic recognition of the state of behavioral sleep (BS) and waking state (WS) in freely moving rats using their electrocorticographic (ECoG) data. Three-channels ECoG signals were recorded from fronta
Externí odkaz:
http://arxiv.org/abs/2302.00933
Autor:
Semenova, Nadezhda, Segreev, Konstantin, Slepnev, Andrei, Runnova, Anastasia, Zhuravlev, Maxim, Blokhina, Inna, Dubrovsky, Alexander, Semyachkina-Glushkovskaya, Oxana, Kurths, Jürgen
The blood-brain barrier plays a decisive role in protecting the brain from toxins and pathogens. The ability to analyze the BBB opening (OBBB) is crucial for the treatment of many brain diseases, but it is very difficult to noninvasively monitor OBBB
Externí odkaz:
http://arxiv.org/abs/2103.05693
Autor:
Maksim Zhuravlev, Mikhail Agaltsov, Anton Kiselev, Margarita Simonyan, Mikhail Novikov, Anton Selskii, Rodion Ukolov, Oksana Drapkina, Anna Orlova, Thomas Penzel, Anastasiya Runnova
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-19 (2023)
Abstract We performed a mathematical analysis of functional connectivity in electroencephalography (EEG) of patients with obstructive sleep apnea (OSA) (N = 10; age: 52.8 ± 13 years; median age: 49 years; male/female ratio: 7/3), compared with a gro
Externí odkaz:
https://doaj.org/article/4e5a1ee54b674a8baa2283c964bfa97c
Autor:
O.V. Semyachkina-Glushkovskaya, A.S. Karavaev, M.D. Prokhorov, A.E. Runnova, E.I. Borovkova, Ishbulatov Yu.M., A.N. Hramkov, D.D. Kulminskiy, N.I. Semenova, K.S. Sergeev, A.V. Slepnev, Sitnikova E. Yu., M.O. Zhuravlev, I.V. Fedosov, A.A. Shirokov, I.A. Blokhina, A.I. Dubrovski, A.V. Terskov, A.P. Khorovodov, V.B. Ageev, D.A. Elovenko, A.S. Evsukova, V.V. Adushkina, V.V. Telnova, D.E. Postnov, T.U. Penzel, J.G. Kurths
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 21, Iss , Pp 758-768 (2023)
The lymphatic drainage system of the brain (LDSB) is the removal of metabolites and wastes from its tissues. A dysfunction of LDSB is an important sign of aging, brain oncology, the Alzheimer's and Parkinson's diseases. The development of new strateg
Externí odkaz:
https://doaj.org/article/e720a6f48a544fe8bd847adbaec5daed
Autor:
Anton R. Kiselev, Oxana M. Drapkina, Mikhail Yu. Novikov, Olga S. Panina, Yuri V. Chernenkov, Maksim O. Zhuravlev, Anastasiya E. Runnova
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract Early age-related changes in EEG time–frequency characteristics during the restful sleep of newborns of different gestational ages result in the development of conventional EEG signs of deep sleep already during the first postnatal week of
Externí odkaz:
https://doaj.org/article/cd271b72cdc345038e9859b904c2b1cc
Akademický článek
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Autor:
Semyachkina-Glushkovskaya, O.V., Karavaev, A.S., Prokhorov, M.D., Runnova, A.E., Borovkova, E.I., Yu.M., Ishbulatov, Hramkov, A.N., Kulminskiy, D.D., Semenova, N.I., Sergeev, K.S., Slepnev, A.V., Yu., Sitnikova E., Zhuravlev, M.O., Fedosov, I.V., Shirokov, A.A., Blokhina, I.A., Dubrovski, A.I., Terskov, A.V., Khorovodov, A.P., Ageev, V.B., Elovenko, D.A., Evsukova, A.S., Adushkina, V.V., Telnova, V.V., Postnov, D.E., Penzel, T.U., Kurths, J.G.
Publikováno v:
In Computational and Structural Biotechnology Journal 2023 21:758-768
Autor:
Maksimenko, Vladimir A., Lüttjohann, Annika, Makarov, Vladimir V., Goremyko, Mikhail V., Koronovskii, Alexey A., Runnova, Anastasia E., van Luijtelaar, Gilles, Hramov, Alexander E., Boccaletti, Stefano
Publikováno v:
Phys. Rev. E 96, 012316 (2017)
We introduce a practical and computationally not demanding technique for inferring interactions at various microscopic levels between the units of a network from the measurements and the processing of macroscopic signals. Starting from a network mode
Externí odkaz:
http://arxiv.org/abs/1704.02490
Autor:
Zhuravlev, Maksim, Suetenkova, Daria, Parsamyan, Ruzanna, Runnova, Anastasiya, Simonyan, Margarita, Nasrullaev, Rakhman, Kiselev, Anton, Suetenkov, Dmitriy
Publikováno v:
European Physical Journal: Special Topics; May2024, Vol. 233 Issue 3, p505-518, 14p