Issues

 / 

2021

 / 

June

  

Reviews of topical problems


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

  a, b,  a,  a,  a,  a,  a, c
a Innopolis University, Universitetskaya Str. 1, Innopolis, Tatarstan, 420500, Russian Federation
b Saratov State Medical University named after V. I. Razumovsky, Bolshaya Kazachya str. 112, Saratov, 410012, Russian Federation
c Center for Biomedical Technology Technical University of Madrid, Campus Montegancedo, Pozuelo de Alarcón, Madrid, 28223, Spain

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.

Fulltext pdf (1.5 MB)
Fulltext is also available at DOI: 10.3367/UFNe.2020.06.038807
Keywords: functional connectivity, synchronization, complex networks, neural networks, analysis of electroencephalograms and magnetoencephalograms
PACS: 05.45.−a, 05.45.Tp, 05.45.Xt, 64.60.aq, 87.85.dd, 87.85.dm (all)
DOI: 10.3367/UFNe.2020.06.038807
URL: https://ufn.ru/en/articles/2021/6/c/
000691293300003
2-s2.0-85114556792
2021PhyU...64..584H
Citation: Hramov A E, Frolov N S, Maksimenko V A, Kurkin S A, Kazantsev V B, Pisarchik A N "Functional networks of the brain: from connectivity restoration to dynamic integration" Phys. Usp. 64 584–616 (2021)
BibTexBibNote ® (generic)BibNote ® (RIS)MedlineRefWorks

Received: 29th, March 2020, revised: 28th, June 2020, 29th, June 2020

Оригинал: Храмов А Е, Фролов Н С, Максименко В А, Куркин С А, Казанцев В Б, Писарчик А Н «Функциональные сети головного мозга: от восстановления связей до динамической интеграции» УФН 191 614–650 (2021); DOI: 10.3367/UFNr.2020.06.038807

References (349) Cited by (46) Similar articles (20) ↓

  1. A.N. Pisarchik, A.E. Hramov “Stochastic processes in the brain's neural network and their impact on perception and decision-making66 1224–1247 (2023)
  2. A.A. Koronovskii, O.I. Moskalenko, A.E. Hramov “On the use of chaotic synchronization for secure communication52 1213–1238 (2009)
  3. A.N. Pavlov, A.E. Hramov et alWavelet analysis in neurodynamics55 845–875 (2012)
  4. M.I. Rabinovich, M.K. Muezzinoglu “Nonlinear dynamics of the brain: emotion and cognition53 357–372 (2010)
  5. G.I. Strelkova, V.S. Anishchenko “Spatio-temporal structures in ensembles of coupled chaotic systems63 145–161 (2020)
  6. V.V. Klinshov, V.I. Nekorkin “Synchronization of delay-coupled oscillator networks56 1217–1229 (2013)
  7. O.V. Maslennikov, V.I. Nekorkin “Adaptive dynamical networks60 694–704 (2017)
  8. V.S. Anishchenko, A.B. Neiman et alStochastic resonance: noise-enhanced order42 7–36 (1999)
  9. A.B. Medvinskii, S.V. Petrovskii et alSpatio-temporal pattern formation, fractals, and chaos in conceptual ecological models as applied to coupled plankton-fish dynamics45 27–57 (2002)
  10. V.P. Budaev, S.P. Savin, L.M. Zelenyi “Investigation of intermittency and generalized self-similarity of turbulent boundary layers in laboratory and magnetospheric plasmas: towards a quantitative definition of plasma transport features54 875–918 (2011)
  11. V.K. Vanag “Waves and patterns in reaction-diffusion systems. Belousov-Zhabotinsky reaction in water-in-oil microemulsions47 923–941 (2004)
  12. V.S. Anishchenko, S.V. Astakhov “Poincaré recurrence theory and its applications to nonlinear physics56 955–972 (2013)
  13. G.R. Ivanitskii, A.A. Deev, E.P. Khizhnyak “Long-term dynamic structural memory in water: can it exist?57 37–65 (2014)
  14. G.R. Ivanitskii “21st century: what is life from the perspective of physics?53 327–356 (2010)
  15. O.V. Maslennikov, M.M. Pugavko et alNonlinear dynamics and machine learning of recurrent spiking neural networks65 1020–1038 (2022)
  16. V.S. Anishchenko, T.E. Vadivasova et alStatistical properties of dynamical chaos48 151–166 (2005)
  17. B.S. Kerner, V.V. Osipov “Self-organization in active distributed media: scenarios for the spontaneous formation and evolution of dissipative structures33 (9) 679–719 (1990)
  18. B.N. Belintsev “Dissipative structures and the problem of biological pattern formation26 775–800 (1983)
  19. Yu.M. Romanovsky, A.N. Tikhonov “Molecular energy transducers of the living cell. Proton ATP synthase: a rotating molecular motor53 893–914 (2010)
  20. L.V. Doronina-Amitonova, I.V. Fedotov et alNeurophotonics: optical methods to study and control the brain58 345–364 (2015)

The list is formed automatically.

© 1918–2024 Uspekhi Fizicheskikh Nauk
Email: ufn@ufn.ru Editorial office contacts About the journal Terms and conditions