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Evaluating the Alterations Induced by Virtual Reality in Cerebral Small-World Networks Using Graph Theory Analysis with Electroencephalography.

Authors :
Yang, Shan
Hwang, Hyeon-Sik
Zhu, Bao-Hua
Chen, Jian
Enkhzaya, Ganbold
Wang, Zhi-Ji
Kim, Eun-Seong
Kim, Nam-Young
Source :
Brain Sciences (2076-3425). Dec2022, Vol. 12 Issue 12, p1630. 18p.
Publication Year :
2022

Abstract

Virtual reality (VR), a rapidly evolving technology that simulates three-dimensional virtual environments for users, has been proven to activate brain functions. However, the continuous alteration pattern of the functional small-world network in response to comprehensive three-dimensional stimulation rather than realistic two-dimensional media stimuli requires further exploration. Here, we aimed to validate the effect of VR on the pathways and network parameters of a small-world organization and interpret its mechanism of action. Fourteen healthy volunteers were selected to complete missions in an immersive VR game. The changes in the functional network in six different frequency categories were analyzed using graph theory with electroencephalography data measured during the pre-, VR, and post-VR stages. The mutual information matrix revealed that interactions between the frontal and posterior areas and those within the frontal and occipital lobes were strengthened. Subsequently, the betweenness centrality (BC) analysis indicated more robust and extensive pathways among hubs. Furthermore, a specific lateralized channel (O1 or O2) increment in the BC was observed. Moreover, the network parameters improved simultaneously in local segregation, global segregation, and global integration. The overall topological improvements of small-world organizations were in high-frequency bands and exhibited some degree of sustainability. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20763425
Volume :
12
Issue :
12
Database :
Academic Search Index
Journal :
Brain Sciences (2076-3425)
Publication Type :
Academic Journal
Accession number :
160941852
Full Text :
https://doi.org/10.3390/brainsci12121630