EEG Functional Connectivity in Motor Task: Experience of Application of Graph Analysis-Reference-Cited by-同舟云学术

EEG Functional Connectivity in Motor Task: Experience of Application of Graph Analysis

Published:2023-09-01 Issue:5 Volume:49 Page:5-16
ISSN:0131-1646
Container-title:Физиология человека
language:
Short-container-title:Fiziologiâ čeloveka

Author:

Vigasina K. D.¹,Sharova E. V.¹,Bordiug V. A.²³,Masherov E. L.⁴,Boldyreva G. N.¹,Smirnov A. S.⁴,Gotovtsev P. M.²³

Affiliation:

1. Institute of Higher Nervous Activity and Neurophysiology of the RAS

2. NRC “Kurchatov Institute”

3. Moscow Institute of Physics and Technology

4. Burdenko National Medical Research Center of Neurosurgery

Abstract

The goal of this work is the application of graph analysis for the research of brain network organization during motor task (clenching/unclenching the fingers of the right hand). In this approach the brain is considered as a single network (graph), where the nodes are individual leads, and the edges are coherence indicators. The approach allows to study the processes of segregation (network division into clusters) and integration (network unification) as well as to identify the most highly active nodes in the networks through which the greatest volumes of information transfers. The work revealed that the movement of the right hand is associated with global and local neural network rearrangements – increase of global network efficiency of whole brain and left hemisphere separately and the formation of local clusters for processing information in areas, connected with hand movement and also in some non-specific for the hand movement areas, probably connected with executive functions.

Publisher

The Russian Academy of Sciences

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