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

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dc.contributor.author왕질급-
dc.date.accessioned2023-06-02T00:53:26Z-
dc.date.available2023-06-02T00:53:26Z-
dc.date.issued2022-12-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/194495-
dc.description.abstractVirtual 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.-
dc.description.statementOfResponsibilityopen-
dc.languageEnglish-
dc.publisherMDPI-
dc.relation.isPartOfBRAIN SCIENCES-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.titleEvaluating the Alterations Induced by Virtual Reality in Cerebral Small-World Networks Using Graph Theory Analysis with Electroencephalography-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Pediatrics (소아과학교실)-
dc.contributor.googleauthorShan Yang-
dc.contributor.googleauthorHyeon-Sik Hwang-
dc.contributor.googleauthorBao-Hua Zhu-
dc.contributor.googleauthorJian Chen-
dc.contributor.googleauthorGanbold Enkhzaya-
dc.contributor.googleauthorZhi-Ji Wang-
dc.contributor.googleauthorEun-Seong Kim-
dc.contributor.googleauthorNam-Young Kim-
dc.identifier.doi10.3390/brainsci12121630-
dc.contributor.localIdA06387-
dc.relation.journalcodeJ03916-
dc.identifier.eissn2076-3425-
dc.identifier.pmid36552090-
dc.subject.keywordbetweenness centrality-
dc.subject.keywordelectroencephalography-
dc.subject.keywordgraph theory-
dc.subject.keywordsmall-world networks-
dc.subject.keywordtwo-streams hypothesis-
dc.subject.keywordvirtual reality-
dc.contributor.alternativeNameWang, Zhi Ji-
dc.contributor.affiliatedAuthor왕질급-
dc.citation.volume12-
dc.citation.number12-
dc.citation.startPage1630-
dc.identifier.bibliographicCitationBRAIN SCIENCES, Vol.12(12) : 1630, 2022-12-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Pediatrics (소아과학교실) > 1. Journal Papers

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