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
Correspondence should be addressed to  a.hramov@innopolis.ru
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 (65) ↓ Similar articles (20)

  1. Saranskaia I, Gutkin B, Zakharov D Eur. Phys. J. Spec. Top. (2025)
  2. Pitsik E Eur. Phys. J. Spec. Top. (2025)
  3. Wei L, Qiu T et al Biomedical Signal Processing And Control 103 107498 (2025)
  4. Pisarchik A N, Peña S N et al Applied Sciences 15 3833 (2025)
  5. Khorev V, Kurkin S et al J. Integr. Neurosci. 24 (1) (2025)
  6. Badarin A A, Antipov V M et al IEEE Trans. Cogn. Dev. Syst. 17 303 (2025)
  7. Kurkin S A, Smirnov N M et al IEEE Access 12 197168 (2024)
  8. Shevchenko O I Med. Tr. Prom. èkol. 64 172 (2024)
  9. Khorev V, Kurkin S et al 2024 8th Scientific School Dynamics of Complex Networks and their Applications (DCNA), (2024) p. 115
  10. Kurkin S, Chepurova A et al Eur. Phys. J. Spec. Top. 233 489 (2024)
  11. Adushkina V V, Pavlov A N Eur. Phys. J. Spec. Top. (2024)
  12. Pavlov A N, Pavlova O N Eur. Phys. J. Spec. Top. (2024)
  13. Boronina A, Maksimenko V et al Eur. Phys. J. Spec. Top. (2024)
  14. Guyo G A, Adushkina V V et al Eur. Phys. J. Spec. Top. (2024)
  15. Drapkina O, Savosenkov A et al Eur. Phys. J. Spec. Top. 233 479 (2024)
  16. Khorev V, Kiselev A et al Eur. Phys. J. Spec. Top. (2024)
  17. Fu R, Du Yu et al IEEE Sensors J. 24 6515 (2024)
  18. Khorev V S, Kurkin S A et al Chaos, Solitons & Fractals 188 115566 (2024)
  19. Kurkin S, Khorev V et al Eur. Phys. J. Spec. Top. 233 499 (2024)
  20. Khorev V, Kurkin S et al 2024 8th Scientific School Dynamics of Complex Networks and their Applications (DCNA), (2024) p. 119
  21. Khorev V, Portnova G et al Eur. Phys. J. Spec. Top. (2024)
  22. Gao Ch, Huang H et al IEEE Trans. Neural Syst. Rehabil. Eng. 32 2749 (2024)
  23. Ansarinasab Sh, Ghassemi F et al Int. J. Mod. Phys. C 35 (02) (2024)
  24. Guyo G A, Pavlova O N, Pavlov A N Eur. Phys. J. Spec. Top. (2024)
  25. Kabir M S, Kurkin S et al Chaos, Solitons & Fractals 185 115123 (2024)
  26. Peña S N, Jaimes-Reátegui R, Pisarchik A N Applied Sciences 14 2343 (2024)
  27. Vigasina K D, Proshina E A et al Neurosci Behav Physi 53 381 (2023)
  28. Pisarchik A N, Hramov A E Uspekhi Fizicheskikh Nauk 193 1298 (2023) [Pisarchik A N, Hramov A E Phys. Usp. 66 1224 (2023)]
  29. Dolgov A, Kurkin S 2023 7th Scientific School Dynamics of Complex Networks and their Applications (DCNA), (2023) p. 72
  30. Kurkin S, Smirnov N et al Eur. Phys. J. Spec. Top. 232 683 (2023)
  31. Boronina A, Maksimenko V, Hramov A E Mathematics 11 2515 (2023)
  32. Vigasina K D, Sharova E V et al Fiziologiâ čeloveka 49 5 (2023)
  33. Pitsik E, Grubov V, Zakharov A 2023 7th Scientific School Dynamics of Complex Networks and their Applications (DCNA), (2023) p. 221
  34. Frolov N, Pitsik E et al Sensors 23 6420 (2023)
  35. Grover N, Chharia A et al IEEE Trans. Neural Syst. Rehabil. Eng. 31 464 (2023)
  36. Vigasina K D, Sharova E V et al Hum Physiol 49 453 (2023)
  37. Andreev A V, Kurkin S A et al 33 (6) (2023)
  38. Hramov A E, Pisarchik A N Applied Sciences 13 2060 (2023)
  39. Khorev V, Kurkin S et al 2023 7th Scientific School Dynamics of Complex Networks and their Applications (DCNA), (2023) p. 126
  40. Khorev V, Kurkin S A et al 2023 7th Scientific School Dynamics of Complex Networks and their Applications (DCNA), (2023) p. 123
  41. Pisarchik A N, Andreev A V et al 33 (9) (2023)
  42. Pitsik E N, Maximenko V A et al Chaos, Solitons & Fractals 167 113041 (2023)
  43. Andreev A V, Badarin A A et al 32 (10) (2022)
  44. Pitsik E N, Frolov N S et al Sensors 22 2537 (2022)
  45. Pitsik N E Bull. Russ. Acad. Sci. Phys. 86 211 (2022)
  46. Hovhannisyan T N J. Contemp. Phys. 57 182 (2022)
  47. Pisarchik A N, Hramov A E Multistability in Physical and Living Systems Springer Series In Synergetics Chapter 6 (2022) p. 255
  48. Oganesyan T N Proceedings Of NAS RA. Physics 57 265 (2022)
  49. Andreev A V, Maksimenko V A et al Computational Biophysics and Nanobiophotonics, (2022) p. 33
  50. Khanadeev V A, Moskalenko O I Bull. Russ. Acad. Sci. Phys. 86 226 (2022)
  51. Pitsik E, Kurkin S et al 2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA), (2022) p. 223
  52. Badarin A A, Antipov V M et al Computational Biophysics and Nanobiophotonics, (2022) p. 34
  53. Stoyanov D, Khorev V et al IJERPH 19 14045 (2022)
  54. Smirnov N, Kurkin S A et al Computational Biophysics and Nanobiophotonics, (2022) p. 41
  55. Kurkin S A, Hramov A et al Computational Biophysics and Nanobiophotonics, (2022) p. 42
  56. Pisarchik A N, Hramov A E Multistability in Physical and Living Systems Springer Series In Synergetics Chapter 8 (2022) p. 327
  57. Antipov V M, Badarin A A et al Computational Biophysics and Nanobiophotonics, (2022) p. 35
  58. Andreev A, Badarin A 2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA), (2021) p. 19
  59. Frolov N, Kabir M S et al 31 (10) (2021)
  60. Rabinovich M I, Varona P Uspekhi Fizicheskikh Nauk 191 846 (2021)
  61. Makarov V, Grubov V et al 2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA), (2021) p. 129
  62. Andreev A, Maksimenko V 2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA), (2021) p. 22
  63. Khorev V, Kazantsev V B 2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA), (2021) p. 95
  64. Chholak P, Kurkin S A et al Applied Sciences 11 375 (2021)
  65. Smirnov N M, Kurkin S 2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA), (2021) p. 190

© 1918–2025 Uspekhi Fizicheskikh Nauk
Email: ufn@ufn.ru Editorial office contacts About the journal Terms and conditions