Accepted articles

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 restoring the functional networks of the brain based on the recorded brain activity is presented. Various methods are considered, as well as their advantages, disadvantages, and limitations of the application. The problems of 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. The questions of 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.

Keywords: functional connectivity, synchronization, complex networks, neural networks, analysis of electroencephalograms and magnetoencephalograms
PACS: 64.60.aq, 05.45.−a, 05.45.Tp, 05.45.Xt, 87.85.dm, 87.85.dd (all)
DOI: 10.3367/UFNe.2020.06.038807
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., accepted

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, принята к публикации; DOI: 10.3367/UFNr.2020.06.038807

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