Journal Article

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

Vigasina, K. D., Gotovtsev, P. M., Bordyug, V. A., Sharova, E. V., Smirnov, A. S., Masherov, E. L., Boldyreva, G. N.

2023

Overview

The goal of this work is the application of graph analysis for the research of brain network organization during motor tasks (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 one 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, an increase of global network efficiency of the entire brain and left hemisphere separately and the formation of local clusters for processing information in areas, connected with hand movement and in some non-specific ways for the hand movement areas, probably connected with executive functions.

• Publisher: Pleiades Publishing,Springer Nature B.V
• Subject: Algorithms / Biomedical and Life Sciences / Biomedicine / Brain architecture / Electrodes / Electroencephalography / Generalized linear models / Hand / Hemispheric laterality / Human Physiology / Information processing / Life Sciences / Neural networks / Pathology