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Uspekhi Fizicheskikh Nauk, 2021, Volume 191, Number 6, Pages 614–650
DOI: https://doi.org/10.3367/UFNr.2020.06.038807 (Mi ufn6787) 		 
This article is cited in 57 scientific papers (total in 57 papers)

REVIEWS OF TOPICAL PROBLEMS

Functional networks of the brain: from connectivity restoration to dynamic integration

A. E. Hramovab, N. S. Frolova, V. A. Maksimenkoa, S. A. Kurkina, V. B. Kazantseva, A. N. Pisarchikac

a Innopolis University, Center for Technologies in Robotics and Mechatronics Components, Laboratory of Neuroscience and Cognitive Technologies
b Razumovsky Saratov State Medical University
c Center for Biomedical Technology, Technical University of Madrid
Full-text PDF (1798 kB) Citations (57)
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DOI: https://doi.org/10.3367/UFNr.2020.06.038807
Abstract: A review of physical and mathematical methods for reconstructing the functional networks of the brain based on recorded brain activity is presented. Various methods are considered, as are their advantages and disadvantages and limitations of the application. Problems applying the theory of complex networks to reconstructed functional networks of the brain to explain the effects of dynamic integration in the brain and their influence on the diverse functionality of the brain and consciousness, as well as processes leading to the pathological activity of the central nervous system, are examined. Questions concerning the application of these approaches are considered both to describe the functioning of the brain in various cognitive and pathological processes and to create new brain–computer interfaces based on the detection of changes in functional connections in the brain.
Funding agency Grant number
Russian Science Foundation 17-72-30003
Russian Foundation for Basic Research 19-52-55001
Ministry of Education and Science of the Russian Federation НШ-2594.2020.2
The work supported by the Russian Science Foundation (grant 17-72-30003), the Russian Foundation for Basic Research (grant 19-52-55001) and the Presidential Program for Support of Leading Scientific Schools (grant NSh-2594.2020.2).
Received: March 29, 2020
Revised: June 28, 2020
Accepted: June 29, 2020
English version:
Physics–Uspekhi, 2021, Volume 64, Issue 6, Pages 584–616
DOI: https://doi.org/10.3367/UFNe.2020.06.038807
Bibliographic databases:
Document Type: Article
PACS: 05.45.-a, 05.45.Tp, 05.45.Xt, 64.60.aq, 87.85.dd, 87.85.dm
Language: Russian
Citation: A. E. Hramov, N. S. Frolov, V. A. Maksimenko, S. A. Kurkin, V. B. Kazantsev, A. N. Pisarchik, “Functional networks of the brain: from connectivity restoration to dynamic integration”, UFN, 191:6 (2021), 614–650; Phys. Usp., 64:6 (2021), 584–616
Citation in format AMSBIB
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    • This publication is cited in the following 57 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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