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

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Abstract

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.

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Funding

The work was carried out a state assignment.

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Authors and Affiliations

  1. Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, Moscow, Russia

    K. D. Vigasina, E. V. Sharova & G. N. Boldyreva

  2. National Research Center Kurchatov Institute, Moscow, Russia

    V. A. Bordyug & P. M. Gotovtsev

  3. Moscow Institute of Physics and Technology, Moscow, Russia

    V. A. Bordyug & P. M. Gotovtsev

  4. Burdenko National Scientific and Practical Center for Neurosurgery, Department of Functional Neurosurgery, Moscow, Russia

    E. L. Masherov & A. S. Smirnov

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  1. K. D. Vigasina
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  2. E. V. Sharova
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  3. V. A. Bordyug
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  4. E. L. Masherov
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  5. G. N. Boldyreva
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  7. P. M. Gotovtsev
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Correspondence to K. D. Vigasina.

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Ethics approval. All studies were carried out in accordance with the principles of biomedical ethics formulated in the Declaration of Helsinki of 1964 and its subsequent updates, and were approved by the local bioethical committee of the Institute of Higher Nervous Activity and Neurophysiology of the Russian Academy of Sciences (Moscow), protocol no. 3 dated November 23, 2022.

Informed consent. Each participant in the study provided a voluntary written informed consent signed by him after explaining to him the potential risks and benefits, as well as the nature of the upcoming study.

Conflict of interest. The authors declare the absence of obvious and potential conflicts of interest related to the publication of this article.

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Vigasina, K.D., Sharova, E.V., Bordyug, V.A. et al. EEG Functional Connectivity in Motor Tasks: Experience of Application of Graph Analysis. Hum Physiol 49, 453–463 (2023). https://doi.org/10.1134/S0362119723600182

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